This report describes disease-modifying therapy (DMT) utilization,
persistence, and cumulative coverage among patients with sickle cell
disease (SCD) in the MarketScan Commercial Claims and Multi-State
Medicaid databases. Four DMTs were examined: hydroxyurea, L-glutamine,
crizanlizumab, and voxelotor. The four DMTs were analyzed individually
and as a pooled “any DMT” category. Comparisons were made by insurance
type (Commercial vs Medicaid), with secondary stratifications by age
category and sex. All patients meet a validated claims-based SCD
definition (Reeves 2020; one inpatient or two outpatient non-diagnostic
SCD claims at least 30 days apart). Patients with any history of a
sickle cell trait code (ICD-9 282.5 or ICD-10 D57.3) are flagged as
dx_trait; this flag is treated as a QC sentinel, not an
exclusion criterion, and a prespecified sensitivity analysis repeats all
results in the subcohort that excludes trait-flagged patients.
The full SCD cohort included 48,760 patients, of whom 12,671 (26.0%) had at least one DMT prescription fill during the observation window. The trait-influence sensitivity cohort (excluding any patient with a trait code) included 35,976 patients, of whom 10,336 (28.7%) were DMT-exposed.
Patients were identified from the MarketScan Commercial Claims and Encounters database and the Multi-State Medicaid Database using a validated claims-based algorithm for sickle cell disease. Specifically, a patient was retained if they had either one inpatient non-diagnostic claim or two outpatient non-diagnostic claims at least 30 days apart with a qualifying SCD diagnosis code, following the criteria evaluated by Reeves et al. (Health Serv Res 2020;55(2):310-7) for ICD-10-CM identification of children with sickle cell anemia.
Qualifying SCD codes: ICD-9 282.41, 282.42, 282.6; ICD-10 D57.0,
D57.1, D57.2, D57.4, D57.8. Sickle cell trait codes (ICD-9 282.5, ICD-10
D57.3) were captured separately as a flag (dx_trait) and
were not part of the cohort-defining count. Pregnancy was not used as
either an inclusion or exclusion criterion at any step.
The “DMT-exposed subset” includes patients with at least one DMT prescription fill in the corresponding pharmacy table. Elixhauser comorbidities were captured in the one-year pre-index window and are missing for patients without one full year of prior coverage; missing is preserved as missing rather than imputed to zero.
All patients in the analytic cohort meet the validated SCD definition
above. The dx_trait flag is a sentinel indicating any
historical trait code (ICD-9 282.5 or ICD-10 D57.3); it is not an
exclusion criterion for the primary analysis. Trait codes co-occurring
with bona fide SCD codes most plausibly reflect clinician confusion of
trait and disease at the point of coding rather than misclassification
of carriers as patients with disease. To check whether residual
misclassification could be influencing the headline numbers, two QC
products are reported below: (a) a cross-tabulation of trait flag
against ever-DMT exposure by insurance, where substantially lower
exposure rates among trait-flagged patients would be the signature of
true non-SCD inclusion, and (b) a sensitivity analysis repeating all
primary analyses in the subcohort that excludes any patient with a trait
code.
Continuous treatment episodes for each DMT were constructed from raw pharmacy fills re-collapsed at a gap tolerance of 7 days: for each patient and each DMT, fills were sorted by service date and contiguous fills (gaps of ≤ 7 days between the running maximum of prior end dates and the next start date) were merged. The 7-day tolerance aligns with ISPOR good-practice guidance for pharmacy persistence work and accommodates normal mail-order refill timing and brief dose-titration pauses. The “longest run” per patient is the duration of the longest merged episode. Ties were broken by taking the earliest episode. Event = longest-run episode ended before end of pharmacy enrollment; censoring = episode ongoing at end of pharmacy enrollment. Patients were administratively right-censored at 24 months from initiation of their longest run; the dotted vertical reference line on each curve marks 12 months. The 1-day strict and 30-day permissive stitching definitions are reported as sensitivities in section 16.
Kaplan-Meier curves were generated for each drug and for “Any DMT” overall, stratified by insurance, age category, and sex. Log-rank tests quantify between-stratum differences.
For each drug, DMT episodes were merged per patient to produce unique
person-days of exposure (no double-counting where episodes overlap).
Observable person-days were taken as the pharmacy-enrollment window
(enroll_rx_enddate − enroll_rx_startdate + 1). The
proportion of days covered (PDC) is the per-patient ratio of exposed
days to observable days. The aggregate ratio across patients (Σ exposed
days / Σ observable days) is a period prevalence: the fraction of total
SCD observation time during which patients were in the DMT-exposed
state.
The Medicaid-vs-Commercial prevalence rate ratio (PRR) was estimated
with negative binomial (NB) regression, modeling
rx_days ~ insurance with a log(total_days)
offset. The exponentiated insurance coefficient is the ratio of per-day
prevalences between arms. NB was chosen over Poisson because days within
a patient are strongly correlated (a day on DMT predicts the next day);
Poisson standard errors at the day level would be anticonservatively
narrow because the effective N is closer to the number of patients than
the number of days. NB’s dispersion parameter (theta) accommodates this
within-patient correlation.
PRRs were estimated for Any DMT and separately for each of the four agents. Each PRR is reported in two cohort framings: (1) full SCD cohort, where the numerator population includes never-exposed patients contributing zero rx-days, giving a population-level answer; and (2) rx-exposed subset, restricted to patients who ever initiated that specific agent, giving an initiator-focused answer. No adjustment was performed. Sensitivity analyses repeated the fits in the no-trait subcohort.
This section is reproduced from the cached cohort-audit
chunk so a third-party reader can verify the patient-uniqueness,
cross-database non-overlap, trait-flag NA handling, and stepwise cohort
counts without rerunning the code.
| Step | N | Note |
|---|---|---|
| MarketScan index file (idx_raw) | 48,760 | One row per enrolid asserted above. |
| Validated SCD cohort (sick_all) | 48,760 | Reeves 2020 algorithm: 1 inpatient or 2 outpatient SCD claims at least 30 days apart. Applied upstream. |
| of whom Commercial | 24,068 | |
| of whom Medicaid | 24,692 | |
| DMT-exposed subset (sick_dmt) | 12,671 | At least one fill of any of the four DMTs in the corresponding pharmacy table. |
| Patients flagged dx_trait == 1 | 12,784 | ICD-9 282.5 or ICD-10 D57.3 ever recorded. Retained in primary; excluded in the trait-influence sensitivity below. |
| Patients with dx_trait == NA | 0 | Treated as not-trait by filter(dx_trait == 1). Included in both primary and sensitivity cohorts. |
| Trait-influence sensitivity cohort (sick_all_nt) | 35,976 | Excludes the 12,784 patients with dx_trait == 1 (26.2% of sick_all). |
| DMT-exposed in sensitivity (sick_dmt_nt) | 10,336 | 28.7% of trait-influence sensitivity cohort. |
| Rows in idx_raw | Distinct enrolids | One row per patient? |
|---|---|---|
| 48,760 | 48,760 | Yes |
Confirms the assumption that the Commercial and Multi-State Medicaid
enrolid spaces are disjoint. Non-zero overlap would invalidate the
per-arm denominators and the bind_rows assembly of fills
and collapsed.
| Comparison | N enrolids in both |
|---|---|
| idx_raw: Commercial vs Medicaid | 0 |
| comm_fills vs mcaid_fills | 0 |
| comm_coll vs mcaid_coll | 0 |
| dx_trait value | N | Pct of idx_raw |
|---|---|---|
| 0 | 35976 | 73.78% |
| 1 | 12784 | 26.22% |
| Dataset | N before | N after sensitivity | N dropped | Pct dropped |
|---|---|---|---|---|
| sick_all | 48,760 | 35,976 | 12,784 | 26.2% |
| sick_dmt | 12,671 | 10,336 | 2,335 | 18.4% |
| fills | 214,554 | 165,331 | 49,223 | 22.9% |
| collapsed | 136,831 | 104,573 | 32,258 | 23.6% |
| Characteristic | Overall N = 48,7601 |
Commercial N = 24,0681 |
Medicaid N = 24,6921 |
p-value2 |
|---|---|---|---|---|
| Age at first SCD dx | 24 (12, 36) | 28 (16, 41) | 20 (9, 30) | <0.001 |
| Age category | <0.001 | |||
| <18 | 17,509 (36%) | 6,712 (28%) | 10,797 (44%) | |
| 18-34 | 17,809 (37%) | 8,437 (35%) | 9,372 (38%) | |
| 35-54 | 10,648 (22%) | 6,946 (29%) | 3,702 (15%) | |
| 55+ | 2,794 (5.7%) | 1,973 (8.2%) | 821 (3.3%) | |
| Sex | <0.001 | |||
| Male | 19,380 (40%) | 9,938 (41%) | 9,442 (38%) | |
| Female | 29,380 (60%) | 14,130 (59%) | 15,250 (62%) | |
| Region (commercial only) | >0.9 | |||
| Northeast | 4,176 (17%) | 4,176 (17%) | 0 (NA%) | |
| North Central | 3,447 (14%) | 3,447 (14%) | 0 (NA%) | |
| South | 14,413 (60%) | 14,413 (60%) | 0 (NA%) | |
| West | 1,698 (7.1%) | 1,698 (7.1%) | 0 (NA%) | |
| Unknown | 334 (1.4%) | 334 (1.4%) | 0 (NA%) | |
| Missing | 24,692 | 0 | 24,692 | |
| Race (Medicaid only) | >0.9 | |||
| White | 938 (4.0%) | 0 (NA%) | 938 (4.0%) | |
| Black | 18,644 (80%) | 0 (NA%) | 18,644 (80%) | |
| Other | 0 (0%) | 0 (NA%) | 0 (0%) | |
| Hispanic | 329 (1.4%) | 0 (NA%) | 329 (1.4%) | |
| Unknown | 3,508 (15%) | 0 (NA%) | 3,508 (15%) | |
| Missing | 25,341 | 24,068 | 1,273 | |
| 1 Median (Q1, Q3); n (%) | ||||
| 2 Wilcoxon rank sum test; Pearson’s Chi-squared test; Fisher’s exact test | ||||
| Characteristic | Overall N = 12,6711 |
Commercial N = 6,1581 |
Medicaid N = 6,5131 |
p-value2 |
|---|---|---|---|---|
| Age at first SCD dx | 18 (10, 29) | 23 (13, 34) | 15 (7, 23) | <0.001 |
| Age category | <0.001 | |||
| <18 | 6,046 (48%) | 2,254 (37%) | 3,792 (58%) | |
| 18-34 | 4,513 (36%) | 2,408 (39%) | 2,105 (32%) | |
| 35-54 | 1,828 (14%) | 1,283 (21%) | 545 (8.4%) | |
| 55+ | 284 (2.2%) | 213 (3.5%) | 71 (1.1%) | |
| Sex | 0.001 | |||
| Male | 6,227 (49%) | 2,936 (48%) | 3,291 (51%) | |
| Female | 6,444 (51%) | 3,222 (52%) | 3,222 (49%) | |
| Region (commercial only) | >0.9 | |||
| Northeast | 1,065 (17%) | 1,065 (17%) | 0 (NA%) | |
| North Central | 847 (14%) | 847 (14%) | 0 (NA%) | |
| South | 3,700 (60%) | 3,700 (60%) | 0 (NA%) | |
| West | 475 (7.7%) | 475 (7.7%) | 0 (NA%) | |
| Unknown | 71 (1.2%) | 71 (1.2%) | 0 (NA%) | |
| Missing | 6,513 | 0 | 6,513 | |
| Race (Medicaid only) | >0.9 | |||
| White | 114 (1.8%) | 0 (NA%) | 114 (1.8%) | |
| Black | 4,466 (72%) | 0 (NA%) | 4,466 (72%) | |
| Other | 0 (0%) | 0 (NA%) | 0 (0%) | |
| Hispanic | 92 (1.5%) | 0 (NA%) | 92 (1.5%) | |
| Unknown | 1,502 (24%) | 0 (NA%) | 1,502 (24%) | |
| Missing | 6,497 | 6,158 | 339 | |
| 1 Median (Q1, Q3); n (%) | ||||
| 2 Wilcoxon rank sum test; Pearson’s Chi-squared test; Fisher’s exact test | ||||
Continuous pharmacy-enrollment windows per patient, defined as
enroll_rx_enddate − enroll_rx_startdate + 1, converted to
months. This is the denominator for the coverage analyses and the
at-risk window for persistence, so it is an important context variable.
Large differences across strata mean that any outcome comparison across
those strata needs to account for different observation times, which our
NB coverage models do via the log(total_days) offset and
which our KM analyses do via censoring. Per the data dictionary, region
is reported for Commercial only (Medicaid=999), and race (stdrace) for
Medicaid only.
| Stratum | Level | N | Median (IQR) | Mean (SD) | Min - Max |
|---|---|---|---|---|---|
| Overall | All | 48,760 | 46.0 (20.0, 84.0) | 57.3 (45.8) | 0.9 - 216.0 |
| Insurance | Commercial | 24,068 | 35.0 (15.0, 70.0) | 49.0 (44.5) | 1.0 - 216.0 |
| Insurance | Medicaid | 24,692 | 58.0 (25.0, 92.1) | 65.3 (45.6) | 0.9 - 156.0 |
| Age | <18 | 17,509 | 54.0 (24.0, 92.1) | 64.6 (47.2) | 0.9 - 216.0 |
| Age | 18-34 | 17,809 | 36.0 (16.0, 72.0) | 48.9 (41.3) | 0.9 - 216.0 |
| Age | 35-54 | 10,648 | 45.0 (20.0, 84.0) | 57.9 (47.8) | 0.9 - 216.0 |
| Age | 55+ | 2,794 | 49.0 (24.0, 90.0) | 61.9 (47.5) | 1.0 - 216.0 |
| Sex | Male | 19,380 | 44.0 (19.0, 84.0) | 56.3 (45.5) | 0.9 - 216.0 |
| Sex | Female | 29,380 | 46.1 (20.0, 84.0) | 57.9 (46.0) | 0.9 - 216.0 |
| Region (Commercial) | Northeast | 4,176 | 36.0 (17.0, 67.0) | 48.0 (41.6) | 1.0 - 216.0 |
| Region (Commercial) | North Central | 3,447 | 36.0 (16.0, 78.1) | 54.3 (49.3) | 1.0 - 216.0 |
| Region (Commercial) | South | 14,413 | 33.9 (14.0, 68.0) | 48.0 (44.2) | 1.0 - 216.0 |
| Region (Commercial) | West | 1,698 | 36.0 (16.0, 80.1) | 52.0 (45.3) | 1.0 - 216.0 |
| Region (Commercial) | Unknown | 334 | 24.0 (12.0, 36.0) | 30.8 (25.7) | 3.0 - 216.0 |
| Race (Medicaid) | White | 938 | 54.5 (25.0, 85.0) | 61.1 (42.9) | 1.0 - 156.0 |
| Race (Medicaid) | Black | 18,644 | 58.1 (26.0, 93.0) | 65.6 (45.0) | 0.9 - 156.0 |
| Race (Medicaid) | Hispanic | 329 | 48.0 (21.0, 84.0) | 55.7 (41.5) | 0.9 - 156.0 |
| Race (Medicaid) | Unknown | 3,508 | 71.0 (29.0, 109.0) | 74.7 (49.5) | 0.9 - 156.0 |
| Stratum | Level | N | Median (IQR) | Mean (SD) | Min - Max |
|---|---|---|---|---|---|
| Overall | All | 12,671 | 53.0 (24.0, 95.0) | 64.7 (48.4) | 1.0 - 216.0 |
| Insurance | Commercial | 6,158 | 34.0 (14.0, 70.0) | 48.5 (44.2) | 1.0 - 216.0 |
| Insurance | Medicaid | 6,513 | 78.0 (41.0, 126.0) | 80.1 (47.1) | 1.0 - 156.0 |
| Age | <18 | 6,046 | 72.0 (31.0, 120.0) | 75.7 (49.7) | 1.0 - 216.0 |
| Age | 18-34 | 4,513 | 40.0 (19.0, 78.9) | 53.6 (43.6) | 1.0 - 216.0 |
| Age | 35-54 | 1,828 | 45.0 (20.0, 84.0) | 57.8 (48.0) | 1.0 - 216.0 |
| Age | 55+ | 284 | 36.0 (21.0, 79.0) | 52.6 (42.5) | 3.0 - 216.0 |
| Sex | Male | 6,227 | 51.9 (24.0, 92.0) | 63.8 (47.8) | 1.0 - 216.0 |
| Sex | Female | 6,444 | 53.0 (24.0, 96.0) | 65.6 (48.9) | 1.0 - 216.0 |
| Region (Commercial) | Northeast | 1,065 | 34.1 (16.0, 66.0) | 47.4 (41.3) | 1.0 - 216.0 |
| Region (Commercial) | North Central | 847 | 36.0 (15.0, 84.0) | 55.4 (50.8) | 1.9 - 216.0 |
| Region (Commercial) | South | 3,700 | 32.1 (14.0, 67.1) | 47.7 (43.8) | 1.0 - 216.0 |
| Region (Commercial) | West | 475 | 35.0 (12.0, 73.0) | 47.6 (42.3) | 1.9 - 216.0 |
| Region (Commercial) | Unknown | 71 | 27.0 (20.0, 47.5) | 35.1 (24.7) | 5.9 - 136.0 |
| Race (Medicaid) | White | 114 | 58.0 (22.2, 78.0) | 57.3 (37.6) | 4.0 - 156.0 |
| Race (Medicaid) | Black | 4,466 | 78.0 (43.0, 126.0) | 79.6 (45.9) | 1.0 - 156.0 |
| Race (Medicaid) | Hispanic | 92 | 60.5 (28.7, 104.2) | 67.4 (42.1) | 5.0 - 156.0 |
| Race (Medicaid) | Unknown | 1,502 | 84.0 (58.0, 154.0) | 94.3 (47.8) | 1.0 - 156.0 |
| Characteristic | Commercial N = 24,0681 |
Medicaid N = 24,6921 |
p-value2 |
|---|---|---|---|
| elix_aids | 44 (0.5%) | 97 (1.6%) | <0.001 |
| Unknown | 15,340 | 18,479 | |
| elix_alcohol | 76 (0.9%) | 276 (4.4%) | <0.001 |
| Unknown | 15,340 | 18,479 | |
| elix_anemdef | 1,095 (13%) | 1,174 (19%) | <0.001 |
| Unknown | 15,340 | 18,479 | |
| elix_arth | 196 (2.2%) | 183 (2.9%) | 0.007 |
| Unknown | 15,340 | 18,479 | |
| elix_bldloss | 605 (6.9%) | 1,173 (19%) | <0.001 |
| Unknown | 15,340 | 18,479 | |
| elix_cbvdpoa | 257 (2.9%) | 176 (2.8%) | 0.7 |
| Unknown | 15,340 | 18,479 | |
| elix_cbvdprior | 257 (2.9%) | 176 (2.8%) | 0.7 |
| Unknown | 15,340 | 18,479 | |
| elix_cbvdsql | 63 (0.7%) | 89 (1.4%) | <0.001 |
| Unknown | 15,340 | 18,479 | |
| elix_chf | 195 (2.2%) | 247 (4.0%) | <0.001 |
| Unknown | 15,340 | 18,479 | |
| elix_chrnlung | 484 (5.5%) | 1,172 (19%) | <0.001 |
| Unknown | 15,340 | 18,479 | |
| elix_ckd | 215 (2.5%) | 198 (3.2%) | 0.008 |
| Unknown | 15,340 | 18,479 | |
| elix_coag | 409 (4.7%) | 394 (6.3%) | <0.001 |
| Unknown | 15,340 | 18,479 | |
| elix_dementia | 15 (0.2%) | 32 (0.5%) | <0.001 |
| Unknown | 15,340 | 18,479 | |
| elix_depress | 328 (3.8%) | 795 (13%) | <0.001 |
| Unknown | 15,340 | 18,479 | |
| elix_diabet | 575 (6.6%) | 612 (9.9%) | <0.001 |
| Unknown | 15,340 | 18,479 | |
| elix_diabetcomp | 258 (3.0%) | 333 (5.4%) | <0.001 |
| Unknown | 15,340 | 18,479 | |
| elix_diabetuncomp | 510 (5.8%) | 561 (9.0%) | <0.001 |
| Unknown | 15,340 | 18,479 | |
| elix_drug | 96 (1.1%) | 545 (8.8%) | <0.001 |
| Unknown | 15,340 | 18,479 | |
| elix_htn | 1,404 (16%) | 1,290 (21%) | <0.001 |
| Unknown | 15,340 | 18,479 | |
| elix_htncomp | 287 (3.3%) | 368 (5.9%) | <0.001 |
| Unknown | 15,340 | 18,479 | |
| elix_htnuncomp | 1,322 (15%) | 1,217 (20%) | <0.001 |
| Unknown | 15,340 | 18,479 | |
| elix_hypothy | 219 (2.5%) | 165 (2.7%) | 0.6 |
| Unknown | 15,340 | 18,479 | |
| elix_leuk | 50 (0.6%) | 38 (0.6%) | 0.8 |
| Unknown | 15,340 | 18,479 | |
| elix_liver | 175 (2.0%) | 201 (3.2%) | <0.001 |
| Unknown | 15,340 | 18,479 | |
| elix_livermild | 222 (2.5%) | 250 (4.0%) | <0.001 |
| Unknown | 15,340 | 18,479 | |
| elix_liversev | 61 (0.7%) | 80 (1.3%) | <0.001 |
| Unknown | 15,340 | 18,479 | |
| elix_lymph | 56 (0.6%) | 29 (0.5%) | 0.2 |
| Unknown | 15,340 | 18,479 | |
| elix_lytes | 687 (7.9%) | 902 (15%) | <0.001 |
| Unknown | 15,340 | 18,479 | |
| elix_mets | 99 (1.1%) | 58 (0.9%) | 0.2 |
| Unknown | 15,340 | 18,479 | |
| elix_neuro | 255 (2.9%) | 482 (7.8%) | <0.001 |
| Unknown | 15,340 | 18,479 | |
| elix_neuromvt | 32 (0.4%) | 38 (0.6%) | 0.031 |
| Unknown | 15,340 | 18,479 | |
| elix_neurooth | 195 (2.2%) | 279 (4.5%) | <0.001 |
| Unknown | 15,340 | 18,479 | |
| elix_obese | 631 (7.2%) | 831 (13%) | <0.001 |
| Unknown | 15,340 | 18,479 | |
| elix_para | 124 (1.4%) | 185 (3.0%) | <0.001 |
| Unknown | 15,340 | 18,479 | |
| elix_perivasc | 156 (1.8%) | 139 (2.2%) | 0.051 |
| Unknown | 15,340 | 18,479 | |
| elix_psych | 177 (2.0%) | 723 (12%) | <0.001 |
| Unknown | 15,340 | 18,479 | |
| elix_pulmcirc | 150 (1.7%) | 102 (1.6%) | 0.7 |
| Unknown | 15,340 | 18,479 | |
| elix_renflmod | 172 (2.0%) | 175 (2.8%) | <0.001 |
| Unknown | 15,340 | 18,479 | |
| elix_renflsev | 98 (1.1%) | 83 (1.3%) | 0.2 |
| Unknown | 15,340 | 18,479 | |
| elix_seiz | 121 (1.4%) | 334 (5.4%) | <0.001 |
| Unknown | 15,340 | 18,479 | |
| elix_thyhypo | 246 (2.8%) | 179 (2.9%) | 0.8 |
| Unknown | 15,340 | 18,479 | |
| elix_thyoth | 108 (1.2%) | 80 (1.3%) | 0.8 |
| Unknown | 15,340 | 18,479 | |
| elix_tumor | 229 (2.6%) | 128 (2.1%) | 0.026 |
| Unknown | 15,340 | 18,479 | |
| elix_ulcer | 25 (0.3%) | 24 (0.4%) | 0.3 |
| Unknown | 15,340 | 18,479 | |
| elix_valve | 215 (2.5%) | 200 (3.2%) | 0.006 |
| Unknown | 15,340 | 18,479 | |
| elix_wghtloss | 146 (1.7%) | 227 (3.7%) | <0.001 |
| Unknown | 15,340 | 18,479 | |
| 1 n (%) | |||
| 2 Pearson’s Chi-squared test | |||
*Note: elix\_mets, elix\_neuromvt, and elix\_ulcer have zero variation in the DMT-exposed subset and are omitted.*
| Characteristic | Commercial N = 6,1581 |
Medicaid N = 6,5131 |
p-value2 |
|---|---|---|---|
| elix_aids | 1 (<0.1%) | 2 (0.5%) | 0.13 |
| Unknown | 4,756 | 6,104 | |
| elix_alcohol | 0 (0%) | 5 (1.2%) | <0.001 |
| Unknown | 4,756 | 6,104 | |
| elix_anemdef | 61 (4.4%) | 31 (7.6%) | 0.009 |
| Unknown | 4,756 | 6,104 | |
| elix_arth | 2 (0.1%) | 3 (0.7%) | 0.079 |
| Unknown | 4,756 | 6,104 | |
| elix_bldloss | 4 (0.3%) | 4 (1.0%) | 0.083 |
| Unknown | 4,756 | 6,104 | |
| elix_cbvdpoa | 4 (0.3%) | 3 (0.7%) | 0.2 |
| Unknown | 4,756 | 6,104 | |
| elix_cbvdprior | 4 (0.3%) | 3 (0.7%) | 0.2 |
| Unknown | 4,756 | 6,104 | |
| elix_cbvdsql | 1 (<0.1%) | 4 (1.0%) | 0.011 |
| Unknown | 4,756 | 6,104 | |
| elix_chf | 7 (0.5%) | 4 (1.0%) | 0.3 |
| Unknown | 4,756 | 6,104 | |
| elix_chrnlung | 25 (1.8%) | 26 (6.4%) | <0.001 |
| Unknown | 4,756 | 6,104 | |
| elix_ckd | 11 (0.8%) | 4 (1.0%) | 0.8 |
| Unknown | 4,756 | 6,104 | |
| elix_coag | 19 (1.4%) | 10 (2.4%) | 0.12 |
| Unknown | 4,756 | 6,104 | |
| elix_dementia | 1 (<0.1%) | 2 (0.5%) | 0.13 |
| Unknown | 4,756 | 6,104 | |
| elix_depress | 9 (0.6%) | 12 (2.9%) | <0.001 |
| Unknown | 4,756 | 6,104 | |
| elix_diabet | 10 (0.7%) | 14 (3.4%) | <0.001 |
| Unknown | 4,756 | 6,104 | |
| elix_diabetcomp | 2 (0.1%) | 6 (1.5%) | 0.002 |
| Unknown | 4,756 | 6,104 | |
| elix_diabetuncomp | 9 (0.6%) | 13 (3.2%) | <0.001 |
| Unknown | 4,756 | 6,104 | |
| elix_drug | 3 (0.2%) | 13 (3.2%) | <0.001 |
| Unknown | 4,756 | 6,104 | |
| elix_htn | 35 (2.5%) | 24 (5.9%) | <0.001 |
| Unknown | 4,756 | 6,104 | |
| elix_htncomp | 5 (0.4%) | 4 (1.0%) | 0.12 |
| Unknown | 4,756 | 6,104 | |
| elix_htnuncomp | 32 (2.3%) | 23 (5.6%) | <0.001 |
| Unknown | 4,756 | 6,104 | |
| elix_hypothy | 7 (0.5%) | 3 (0.7%) | 0.7 |
| Unknown | 4,756 | 6,104 | |
| elix_leuk | 4 (0.3%) | 0 (0%) | 0.6 |
| Unknown | 4,756 | 6,104 | |
| elix_liver | 6 (0.4%) | 3 (0.7%) | 0.4 |
| Unknown | 4,756 | 6,104 | |
| elix_livermild | 9 (0.6%) | 7 (1.7%) | 0.065 |
| Unknown | 4,756 | 6,104 | |
| elix_liversev | 3 (0.2%) | 0 (0%) | >0.9 |
| Unknown | 4,756 | 6,104 | |
| elix_lymph | 2 (0.1%) | 0 (0%) | >0.9 |
| Unknown | 4,756 | 6,104 | |
| elix_lytes | 35 (2.5%) | 25 (6.1%) | <0.001 |
| Unknown | 4,756 | 6,104 | |
| elix_neuro | 5 (0.4%) | 9 (2.2%) | <0.001 |
| Unknown | 4,756 | 6,104 | |
| elix_neurooth | 3 (0.2%) | 4 (1.0%) | 0.050 |
| Unknown | 4,756 | 6,104 | |
| elix_obese | 5 (0.4%) | 5 (1.2%) | 0.053 |
| Unknown | 4,756 | 6,104 | |
| elix_para | 4 (0.3%) | 4 (1.0%) | 0.083 |
| Unknown | 4,756 | 6,104 | |
| elix_perivasc | 3 (0.2%) | 0 (0%) | >0.9 |
| Unknown | 4,756 | 6,104 | |
| elix_psych | 4 (0.3%) | 11 (2.7%) | <0.001 |
| Unknown | 4,756 | 6,104 | |
| elix_pulmcirc | 8 (0.6%) | 4 (1.0%) | 0.5 |
| Unknown | 4,756 | 6,104 | |
| elix_renflmod | 7 (0.5%) | 4 (1.0%) | 0.3 |
| Unknown | 4,756 | 6,104 | |
| elix_renflsev | 5 (0.4%) | 1 (0.2%) | >0.9 |
| Unknown | 4,756 | 6,104 | |
| elix_seiz | 4 (0.3%) | 6 (1.5%) | 0.012 |
| Unknown | 4,756 | 6,104 | |
| elix_thyhypo | 7 (0.5%) | 3 (0.7%) | 0.7 |
| Unknown | 4,756 | 6,104 | |
| elix_thyoth | 3 (0.2%) | 0 (0%) | >0.9 |
| Unknown | 4,756 | 6,104 | |
| elix_tumor | 5 (0.4%) | 0 (0%) | 0.6 |
| Unknown | 4,756 | 6,104 | |
| elix_valve | 8 (0.6%) | 6 (1.5%) | 0.10 |
| Unknown | 4,756 | 6,104 | |
| elix_wghtloss | 1 (<0.1%) | 2 (0.5%) | 0.13 |
| Unknown | 4,756 | 6,104 | |
| 1 n (%) | |||
| 2 Fisher’s exact test; Pearson’s Chi-squared test | |||
| Characteristic | Commercial N = 6,1581 |
Medicaid N = 6,5131 |
p-value2 |
|---|---|---|---|
| Hydroxyurea | 5,966 (97%) | 6,420 (99%) | <0.001 |
| L-glutamine | 308 (5.0%) | 399 (6.1%) | 0.006 |
| Crizanlizumab | 12 (0.2%) | 22 (0.3%) | 0.12 |
| Voxelotor | 378 (6.1%) | 444 (6.8%) | 0.12 |
| Fills per patient (any DMT) | 7 (3, 16) | 10 (3, 28) | <0.001 |
| 1 n (%); Median (Q1, Q3) | |||
| 2 Pearson’s Chi-squared test; Wilcoxon rank sum test | |||
| Drug | N Comm | Exp Comm | Rate Comm | N Mcaid | Exp Mcaid | Rate Mcaid | Chi-sq p |
|---|---|---|---|---|---|---|---|
| Hydroxyurea | 24068 | 5966 | 24.79% | 24692 | 6420 | 26.00% | 0.0022 |
| L-glutamine | 24068 | 308 | 1.28% | 24692 | 399 | 1.62% | 0.0022 |
| Crizanlizumab | 24068 | 12 | 0.05% | 24692 | 22 | 0.09% | 0.1417 |
| Voxelotor | 24068 | 378 | 1.57% | 24692 | 444 | 1.80% | 0.0553 |
| drug | insurance | N | Median | Q1 | Q3 |
|---|---|---|---|---|---|
| dmt_cri | Commercial | 12 | 4.0 | 1 | 6.5 |
| dmt_cri | Medicaid | 22 | 4.0 | 2 | 6.0 |
| dmt_glu | Commercial | 308 | 2.0 | 1 | 6.0 |
| dmt_glu | Medicaid | 399 | 3.0 | 1 | 8.0 |
| dmt_hyd | Commercial | 5966 | 7.0 | 3 | 16.0 |
| dmt_hyd | Medicaid | 6420 | 10.0 | 3 | 27.0 |
| dmt_vox | Commercial | 378 | 5.5 | 2 | 11.0 |
| dmt_vox | Medicaid | 444 | 4.0 | 2 | 9.0 |
| drug | N commercial | N Medicaid | Wilcoxon p |
|---|---|---|---|
| dmt_cri | 12 | 22 | 0.5728 |
| dmt_glu | 308 | 399 | 0.0053 |
| dmt_hyd | 5966 | 6420 | 0.0000 |
| dmt_vox | 378 | 444 | 0.0127 |
Proportion of the full SCD cohort reaching successive consecutive-exposure thresholds for each agent and for any DMT. Denominators are the full SCD cohort (N = 48,760), so “Ever” is the fraction of all SCD patients who ever initiated the agent, and the 90/180/365 day rows are the fractions whose longest continuous run of the agent reached that threshold. Thresholds are evaluated on raw longest-run durations without administrative censoring.
| Stratum | Level | N | Ever | >=90 d | >=180 d | >=365 d |
|---|---|---|---|---|---|---|
| Overall | All | 48,760 | 12,371 (25.4%) | 5,400 (11.1%) | 2,751 (5.6%) | 952 (2.0%) |
| Insurance | Commercial | 24,068 | 5,965 (24.8%) | 2,778 (11.5%) | 1,462 (6.1%) | 485 (2.0%) |
| Insurance | Medicaid | 24,692 | 6,406 (25.9%) | 2,622 (10.6%) | 1,289 (5.2%) | 467 (1.9%) |
| Age | <18 | 17,509 | 5,948 (34.0%) | 3,020 (17.2%) | 1,554 (8.9%) | 571 (3.3%) |
| Age | 18-34 | 17,809 | 4,397 (24.7%) | 1,435 (8.1%) | 653 (3.7%) | 173 (1.0%) |
| Age | 35-54 | 10,648 | 1,754 (16.5%) | 794 (7.5%) | 449 (4.2%) | 168 (1.6%) |
| Age | 55+ | 2,794 | 272 (9.7%) | 151 (5.4%) | 95 (3.4%) | 40 (1.4%) |
| Sex | Male | 19,380 | 6,104 (31.5%) | 2,766 (14.3%) | 1,402 (7.2%) | 500 (2.6%) |
| Sex | Female | 29,380 | 6,267 (21.3%) | 2,634 (9.0%) | 1,349 (4.6%) | 452 (1.5%) |
| Stratum | Level | N | Ever | >=90 d | >=180 d | >=365 d |
|---|---|---|---|---|---|---|
| Overall | All | 48,760 | 706 (1.4%) | 192 (0.4%) | 65 (0.1%) | 14 (0.0%) |
| Insurance | Commercial | 24,068 | 307 (1.3%) | 74 (0.3%) | 23 (0.1%) | 8 (0.0%) |
| Insurance | Medicaid | 24,692 | 399 (1.6%) | 118 (0.5%) | 42 (0.2%) | 6 (0.0%) |
| Age | <18 | 17,509 | 360 (2.1%) | 115 (0.7%) | 43 (0.2%) | 9 (0.1%) |
| Age | 18-34 | 17,809 | 231 (1.3%) | 44 (0.2%) | 12 (0.1%) | 2 (0.0%) |
| Age | 35-54 | 10,648 | 103 (1.0%) | 28 (0.3%) | 10 (0.1%) | 3 (0.0%) |
| Age | 55+ | 2,794 | 12 (0.4%) | 5 (0.2%) | 0 (0.0%) | 0 (0.0%) |
| Sex | Male | 19,380 | 317 (1.6%) | 89 (0.5%) | 32 (0.2%) | 9 (0.0%) |
| Sex | Female | 29,380 | 389 (1.3%) | 103 (0.4%) | 33 (0.1%) | 5 (0.0%) |
| Stratum | Level | N | Ever | >=90 d | >=180 d | >=365 d |
|---|---|---|---|---|---|---|
| Overall | All | 48,760 | 33 (0.1%) | 4 (0.0%) | 0 (0.0%) | 0 (0.0%) |
| Insurance | Commercial | 24,068 | 11 (0.0%) | 4 (0.0%) | 0 (0.0%) | 0 (0.0%) |
| Insurance | Medicaid | 24,692 | 22 (0.1%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) |
| Age | <18 | 17,509 | 16 (0.1%) | 2 (0.0%) | 0 (0.0%) | 0 (0.0%) |
| Age | 18-34 | 17,809 | 11 (0.1%) | 2 (0.0%) | 0 (0.0%) | 0 (0.0%) |
| Age | 35-54 | 10,648 | 6 (0.1%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) |
| Age | 55+ | 2,794 | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) |
| Sex | Male | 19,380 | 14 (0.1%) | 2 (0.0%) | 0 (0.0%) | 0 (0.0%) |
| Sex | Female | 29,380 | 19 (0.1%) | 2 (0.0%) | 0 (0.0%) | 0 (0.0%) |
| Stratum | Level | N | Ever | >=90 d | >=180 d | >=365 d |
|---|---|---|---|---|---|---|
| Overall | All | 48,760 | 818 (1.7%) | 357 (0.7%) | 159 (0.3%) | 38 (0.1%) |
| Insurance | Commercial | 24,068 | 378 (1.6%) | 179 (0.7%) | 82 (0.3%) | 20 (0.1%) |
| Insurance | Medicaid | 24,692 | 440 (1.8%) | 178 (0.7%) | 77 (0.3%) | 18 (0.1%) |
| Age | <18 | 17,509 | 390 (2.2%) | 180 (1.0%) | 85 (0.5%) | 16 (0.1%) |
| Age | 18-34 | 17,809 | 259 (1.5%) | 97 (0.5%) | 34 (0.2%) | 10 (0.1%) |
| Age | 35-54 | 10,648 | 142 (1.3%) | 67 (0.6%) | 32 (0.3%) | 10 (0.1%) |
| Age | 55+ | 2,794 | 27 (1.0%) | 13 (0.5%) | 8 (0.3%) | 2 (0.1%) |
| Sex | Male | 19,380 | 361 (1.9%) | 170 (0.9%) | 78 (0.4%) | 19 (0.1%) |
| Sex | Female | 29,380 | 457 (1.6%) | 187 (0.6%) | 81 (0.3%) | 19 (0.1%) |
| Stratum | Level | N | Ever | >=90 d | >=180 d | >=365 d |
|---|---|---|---|---|---|---|
| Overall | All | 48,760 | 12,657 (26.0%) | 5,681 (11.7%) | 2,945 (6.0%) | 1,050 (2.2%) |
| Insurance | Commercial | 24,068 | 6,157 (25.6%) | 2,922 (12.1%) | 1,555 (6.5%) | 531 (2.2%) |
| Insurance | Medicaid | 24,692 | 6,500 (26.3%) | 2,759 (11.2%) | 1,390 (5.6%) | 519 (2.1%) |
| Age | <18 | 17,509 | 6,038 (34.5%) | 3,134 (17.9%) | 1,658 (9.5%) | 627 (3.6%) |
| Age | 18-34 | 17,809 | 4,508 (25.3%) | 1,544 (8.7%) | 703 (3.9%) | 193 (1.1%) |
| Age | 35-54 | 10,648 | 1,827 (17.2%) | 840 (7.9%) | 483 (4.5%) | 185 (1.7%) |
| Age | 55+ | 2,794 | 284 (10.2%) | 163 (5.8%) | 101 (3.6%) | 45 (1.6%) |
| Sex | Male | 19,380 | 6,219 (32.1%) | 2,875 (14.8%) | 1,495 (7.7%) | 547 (2.8%) |
| Sex | Female | 29,380 | 6,438 (21.9%) | 2,806 (9.6%) | 1,450 (4.9%) | 503 (1.7%) |
The cascade tables above carry the numerical detail; the two figures below give the visual narrative used in the executive summary and the manuscript. Cascade-by-insurance compares Commercial vs Medicaid at each consecutive-exposure threshold; cascade-by-age compares the four age strata. Within-stratum denominators are used: 24,068 Commercial and 24,692 Medicaid for the insurance figure; the per-stratum N values shown in §9.5 for the age figure.
| Drug | Stratum | Level | N | Events | Censored | Median mo. | Q1 | Q3 |
|---|---|---|---|---|---|---|---|---|
| Hydroxyurea | Overall | All | 12371 | 10863 | 1508 | 2.69 | 0.95 | 5.36 |
| Hydroxyurea | insurance | Commercial | 5965 | 4977 | 988 | 2.92 | 0.95 | 5.85 |
| Hydroxyurea | insurance | Medicaid | 6406 | 5886 | 520 | 2.17 | 0.95 | 4.83 |
| Hydroxyurea | age_cat | <18 | 5948 | 5241 | 707 | 2.99 | 1.68 | 6.11 |
| Hydroxyurea | age_cat | 18-34 | 4397 | 3937 | 460 | 2.00 | 0.95 | 3.91 |
| Hydroxyurea | age_cat | 35-54 | 1754 | 1475 | 279 | 2.92 | 0.95 | 5.98 |
| Hydroxyurea | age_cat | 55+ | 272 | 210 | 62 | 3.68 | 1.39 | 8.64 |
| Hydroxyurea | sex | Male | 6104 | 5311 | 793 | 2.83 | 0.95 | 5.59 |
| Hydroxyurea | sex | Female | 6267 | 5552 | 715 | 2.37 | 0.95 | 5.16 |
| L-glutamine | Overall | All | 706 | 658 | 48 | 1.77 | 0.95 | 3.02 |
| L-glutamine | insurance | Commercial | 307 | 280 | 27 | 0.95 | 0.95 | 2.92 |
| L-glutamine | insurance | Medicaid | 399 | 378 | 21 | 1.84 | 0.95 | 3.17 |
| L-glutamine | age_cat | <18 | 360 | 338 | 22 | 1.94 | 0.95 | 3.42 |
| L-glutamine | age_cat | 18-34 | 231 | 218 | 13 | 0.95 | 0.95 | 2.32 |
| L-glutamine | age_cat | 35-54 | 103 | 90 | 13 | 1.87 | 0.95 | 2.99 |
| L-glutamine | age_cat | 55+ | 12 | 12 | 0 | 2.76 | 1.57 | 3.00 |
| L-glutamine | sex | Male | 317 | 294 | 23 | 1.84 | 0.95 | 3.02 |
| L-glutamine | sex | Female | 389 | 364 | 25 | 1.45 | 0.95 | 2.99 |
| Crizanlizumab | Overall | All | 33 | 32 | 1 | 0.00 | 0.00 | 0.43 |
| Crizanlizumab | insurance | Commercial | 11 | 10 | 1 | 1.74 | 0.66 | 4.34 |
| Crizanlizumab | insurance | Medicaid | 22 | 22 | 0 | 0.00 | 0.00 | 0.00 |
| Crizanlizumab | age_cat | <18 | 16 | 16 | 0 | 0.00 | 0.00 | 0.00 |
| Crizanlizumab | age_cat | 18-34 | 11 | 10 | 1 | 0.43 | 0.00 | 2.18 |
| Crizanlizumab | age_cat | 35-54 | 6 | 6 | 0 | 0.21 | 0.00 | 0.43 |
| Crizanlizumab | sex | Male | 14 | 14 | 0 | 0.00 | 0.00 | 0.32 |
| Crizanlizumab | sex | Female | 19 | 18 | 1 | 0.00 | 0.00 | 0.89 |
| Voxelotor | Overall | All | 818 | 658 | 160 | 2.69 | 0.95 | 5.03 |
| Voxelotor | insurance | Commercial | 378 | 307 | 71 | 2.89 | 0.95 | 5.54 |
| Voxelotor | insurance | Medicaid | 440 | 351 | 89 | 2.12 | 0.95 | 4.65 |
| Voxelotor | age_cat | <18 | 390 | 305 | 85 | 2.79 | 0.95 | 5.40 |
| Voxelotor | age_cat | 18-34 | 259 | 213 | 46 | 2.00 | 0.95 | 3.84 |
| Voxelotor | age_cat | 35-54 | 142 | 119 | 23 | 2.89 | 0.95 | 5.75 |
| Voxelotor | age_cat | 55+ | 27 | 21 | 6 | 2.83 | 0.95 | 7.38 |
| Voxelotor | sex | Male | 361 | 283 | 78 | 2.86 | 1.48 | 5.36 |
| Voxelotor | sex | Female | 457 | 375 | 82 | 2.10 | 0.95 | 4.80 |
| Any DMT | Overall | All | 12657 | 10999 | 1658 | 2.79 | 0.95 | 5.59 |
| Any DMT | insurance | Commercial | 6157 | 5095 | 1062 | 2.92 | 0.95 | 5.91 |
| Any DMT | insurance | Medicaid | 6500 | 5904 | 596 | 2.17 | 0.95 | 5.06 |
| Any DMT | age_cat | <18 | 6038 | 5251 | 787 | 3.02 | 1.71 | 6.44 |
| Any DMT | age_cat | 18-34 | 4508 | 4006 | 502 | 2.04 | 0.95 | 4.01 |
| Any DMT | age_cat | 35-54 | 1827 | 1523 | 304 | 2.92 | 0.95 | 6.08 |
| Any DMT | age_cat | 55+ | 284 | 219 | 65 | 3.71 | 1.66 | 8.71 |
| Any DMT | sex | Male | 6219 | 5357 | 862 | 2.86 | 0.95 | 5.78 |
| Any DMT | sex | Female | 6438 | 5642 | 796 | 2.66 | 0.95 | 5.36 |
| Drug | Stratum | Chi-sq | df | p |
|---|---|---|---|---|
| Hydroxyurea | insurance | 116.72 | 1 | < 0.0001 |
| Hydroxyurea | age_cat | 363.79 | 3 | < 0.0001 |
| Hydroxyurea | sex | 12.09 | 1 | 0.0005 |
| L-glutamine | insurance | 0.18 | 1 | 0.6679 |
| L-glutamine | age_cat | 15.25 | 3 | 0.0016 |
| L-glutamine | sex | 1.10 | 1 | 0.2938 |
| Crizanlizumab | insurance | 32.00 | 1 | < 0.0001 |
| Crizanlizumab | age_cat | 2.87 | 2 | 0.2384 |
| Crizanlizumab | sex | 0.32 | 1 | 0.5743 |
| Voxelotor | insurance | 3.04 | 1 | 0.0812 |
| Voxelotor | age_cat | 8.48 | 3 | 0.0371 |
| Voxelotor | sex | 2.49 | 1 | 0.1143 |
| Any DMT | insurance | 100.26 | 1 | < 0.0001 |
| Any DMT | age_cat | 371.54 | 3 | < 0.0001 |
| Any DMT | sex | 9.89 | 1 | 0.0017 |
Hydroxyurea: overall persistence (pooled).
Hydroxyurea persistence by insurance.
Hydroxyurea persistence by age category.
Hydroxyurea persistence by sex.
L-glutamine: overall persistence.
L-glutamine persistence by insurance.
L-glutamine persistence by age category.
L-glutamine persistence by sex.
Note: n = 34 (12 commercial, 22 Medicaid). Stratified KM estimates are too imprecise to plot; only the overall curve is shown.
Crizanlizumab: overall persistence.
Voxelotor: overall persistence.
Voxelotor persistence by insurance.
Voxelotor persistence by age category.
Voxelotor persistence by sex.
Any DMT: overall persistence (pooled across all four agents).
Any DMT persistence by insurance.
Any DMT persistence by age category.
Any DMT persistence by sex.
Kaplan-Meier life tables at monthly intervals from 0 to 48 months for each agent and stratification. Unlike the KM curves above (which are administratively right-censored at 24 months for display), these life tables use the raw, un-truncated follow-up data; patients with longest runs extending past 24 months remain in the at-risk pool and continue to event in their natural intervals. The 24-to-48 month window shows trends that the KM curves don’t display.
Surv (%) is the cumulative probability of remaining on therapy at the start of the indicated month. N at risk is the count of patients still being followed and on therapy at month start. Events are discontinuations during the interval; Censored counts include patients reaching end of pharmacy enrollment without discontinuation. Estimates beyond month 24 become sparse for rare agents (L-glutamine, voxelotor, crizanlizumab) and confidence intervals widen accordingly. Sensitivity-analysis life tables are not shown but follow the same construction.
Overall
| Month | N at risk | Events | Censored | Surv (%) | 95% CI (%) |
|---|---|---|---|---|---|
| 0 | 12371 | 5 | 0 | 100.0 | (99.9, 100.0) |
| 1 | 8810 | 3382 | 174 | 72.6 | (71.8, 73.4) |
| 2 | 7475 | 1219 | 116 | 62.5 | (61.6, 63.3) |
| 3 | 5261 | 1965 | 249 | 45.8 | (45.0, 46.7) |
| 4 | 4079 | 1058 | 124 | 36.5 | (35.7, 37.4) |
| 5 | 3340 | 641 | 98 | 30.7 | (29.9, 31.6) |
| 6 | 2673 | 554 | 113 | 25.5 | (24.7, 26.3) |
| 7 | 2219 | 381 | 73 | 21.8 | (21.1, 22.6) |
| 8 | 1883 | 278 | 58 | 19.1 | (18.4, 19.8) |
| 9 | 1553 | 270 | 60 | 16.3 | (15.6, 17.0) |
| 10 | 1318 | 202 | 33 | 14.2 | (13.5, 14.8) |
| 11 | 1139 | 143 | 36 | 12.6 | (12.0, 13.3) |
| 12 | 944 | 155 | 40 | 10.9 | (10.3, 11.5) |
| 13 | 817 | 103 | 24 | 9.7 | (9.1, 10.3) |
| 14 | 717 | 81 | 19 | 8.7 | (8.1, 9.3) |
| 15 | 629 | 74 | 14 | 7.8 | (7.3, 8.3) |
| 16 | 554 | 67 | 10 | 6.9 | (6.4, 7.5) |
| 17 | 489 | 51 | 12 | 6.3 | (5.8, 6.8) |
| 18 | 426 | 50 | 13 | 5.6 | (5.2, 6.1) |
| 19 | 381 | 35 | 10 | 5.2 | (4.7, 5.7) |
| 20 | 347 | 28 | 6 | 4.8 | (4.4, 5.3) |
| 21 | 309 | 33 | 5 | 4.3 | (3.9, 4.8) |
| 22 | 279 | 28 | 2 | 3.9 | (3.5, 4.4) |
| 23 | 238 | 36 | 5 | 3.4 | (3.0, 3.8) |
| 24 | 210 | 24 | 4 | 3.1 | (2.7, 3.5) |
| 25 | 195 | 11 | 4 | 2.9 | (2.6, 3.3) |
| 26 | 178 | 12 | 5 | 2.7 | (2.4, 3.1) |
| 27 | 159 | 17 | 2 | 2.5 | (2.1, 2.8) |
| 28 | 144 | 11 | 4 | 2.3 | (2.0, 2.7) |
| 29 | 124 | 16 | 4 | 2.0 | (1.7, 2.4) |
| 30 | 110 | 7 | 7 | 1.9 | (1.6, 2.3) |
| 31 | 101 | 9 | 0 | 1.8 | (1.5, 2.1) |
| 32 | 89 | 11 | 1 | 1.6 | (1.3, 1.9) |
| 33 | 78 | 11 | 0 | 1.4 | (1.1, 1.7) |
| 34 | 71 | 4 | 3 | 1.3 | (1.1, 1.6) |
| 35 | 68 | 3 | 0 | 1.2 | (1.0, 1.5) |
| 36 | 68 | 0 | 0 | 1.2 | (1.0, 1.5) |
| 37 | 64 | 4 | 0 | 1.2 | (0.9, 1.5) |
| 38 | 63 | 0 | 1 | 1.2 | (0.9, 1.5) |
| 39 | 54 | 7 | 2 | 1.0 | (0.8, 1.3) |
| 40 | 50 | 3 | 1 | 1.0 | (0.8, 1.3) |
| 41 | 47 | 3 | 0 | 0.9 | (0.7, 1.2) |
| 42 | 45 | 2 | 0 | 0.9 | (0.7, 1.2) |
| 43 | 40 | 4 | 1 | 0.8 | (0.6, 1.1) |
| 44 | 38 | 2 | 0 | 0.8 | (0.6, 1.0) |
| 45 | 36 | 1 | 1 | 0.7 | (0.6, 1.0) |
| 46 | 33 | 2 | 1 | 0.7 | (0.5, 1.0) |
| 47 | 30 | 2 | 1 | 0.7 | (0.5, 0.9) |
| 48 | 27 | 2 | 1 | 0.6 | (0.4, 0.9) |
By insurance
| Stratum | Month | N at risk | Events | Censored | Surv (%) | 95% CI (%) |
|---|---|---|---|---|---|---|
| Commercial | 0 | 5965 | 0 | 0 | 100.0 | (100.0, 100.0) |
| Commercial | 1 | 4307 | 1556 | 102 | 73.9 | (72.8, 75.0) |
| Commercial | 2 | 3766 | 479 | 62 | 65.6 | (64.4, 66.8) |
| Commercial | 3 | 2717 | 888 | 161 | 49.9 | (48.6, 51.2) |
| Commercial | 4 | 2175 | 461 | 81 | 41.3 | (40.0, 42.6) |
| Commercial | 5 | 1803 | 297 | 75 | 35.6 | (34.3, 36.8) |
| Commercial | 6 | 1409 | 299 | 95 | 29.5 | (28.3, 30.7) |
| Commercial | 7 | 1182 | 170 | 57 | 25.9 | (24.7, 27.1) |
| Commercial | 8 | 1008 | 134 | 40 | 22.9 | (21.8, 24.1) |
| Commercial | 9 | 815 | 144 | 49 | 19.5 | (18.5, 20.7) |
| Commercial | 10 | 689 | 104 | 22 | 17.0 | (16.0, 18.1) |
| Commercial | 11 | 589 | 74 | 26 | 15.2 | (14.2, 16.2) |
| Commercial | 12 | 483 | 79 | 27 | 13.1 | (12.1, 14.1) |
| Commercial | 13 | 416 | 49 | 18 | 11.7 | (10.8, 12.7) |
| Commercial | 14 | 364 | 41 | 11 | 10.6 | (9.7, 11.5) |
| Commercial | 15 | 317 | 37 | 10 | 9.5 | (8.6, 10.4) |
| Commercial | 16 | 277 | 32 | 8 | 8.5 | (7.7, 9.4) |
| Commercial | 17 | 246 | 22 | 9 | 7.8 | (7.0, 8.7) |
| Commercial | 18 | 211 | 26 | 9 | 7.0 | (6.2, 7.8) |
| Commercial | 19 | 182 | 20 | 9 | 6.3 | (5.6, 7.1) |
| Commercial | 20 | 168 | 10 | 4 | 5.9 | (5.2, 6.8) |
| Commercial | 21 | 148 | 16 | 4 | 5.4 | (4.7, 6.2) |
| Commercial | 22 | 132 | 14 | 2 | 4.9 | (4.2, 5.6) |
| Commercial | 23 | 115 | 15 | 2 | 4.3 | (3.7, 5.1) |
| Commercial | 24 | 103 | 10 | 2 | 3.9 | (3.3, 4.7) |
| Commercial | 25 | 92 | 7 | 4 | 3.7 | (3.1, 4.4) |
| Commercial | 26 | 83 | 5 | 4 | 3.5 | (2.9, 4.2) |
| Commercial | 27 | 76 | 6 | 1 | 3.2 | (2.6, 3.9) |
| Commercial | 28 | 65 | 7 | 4 | 2.9 | (2.4, 3.6) |
| Commercial | 29 | 57 | 4 | 4 | 2.7 | (2.2, 3.4) |
| Commercial | 30 | 49 | 3 | 5 | 2.6 | (2.0, 3.2) |
| Commercial | 31 | 45 | 4 | 0 | 2.4 | (1.8, 3.0) |
| Commercial | 32 | 40 | 5 | 0 | 2.1 | (1.6, 2.7) |
| Commercial | 33 | 35 | 5 | 0 | 1.8 | (1.4, 2.4) |
| Commercial | 34 | 32 | 1 | 2 | 1.8 | (1.3, 2.4) |
| Commercial | 35 | 30 | 2 | 0 | 1.7 | (1.2, 2.3) |
| Commercial | 36 | 30 | 0 | 0 | 1.7 | (1.2, 2.3) |
| Commercial | 37 | 26 | 4 | 0 | 1.4 | (1.0, 2.0) |
| Commercial | 38 | 26 | 0 | 0 | 1.4 | (1.0, 2.0) |
| Commercial | 39 | 22 | 2 | 2 | 1.3 | (0.9, 1.9) |
| Commercial | 40 | 20 | 1 | 1 | 1.3 | (0.9, 1.8) |
| Commercial | 41 | 20 | 0 | 0 | 1.3 | (0.9, 1.8) |
| Commercial | 42 | 19 | 1 | 0 | 1.2 | (0.8, 1.8) |
| Commercial | 43 | 16 | 2 | 1 | 1.1 | (0.7, 1.6) |
| Commercial | 44 | 15 | 1 | 0 | 1.0 | (0.7, 1.6) |
| Commercial | 45 | 13 | 1 | 1 | 0.9 | (0.6, 1.5) |
| Commercial | 46 | 13 | 0 | 0 | 0.9 | (0.6, 1.5) |
| Commercial | 47 | 12 | 0 | 1 | 0.9 | (0.6, 1.5) |
| Commercial | 48 | 10 | 1 | 1 | 0.9 | (0.5, 1.4) |
| Medicaid | 0 | 6406 | 5 | 0 | 99.9 | (99.9, 100.0) |
| Medicaid | 1 | 4503 | 1826 | 72 | 71.4 | (70.3, 72.5) |
| Medicaid | 2 | 3709 | 740 | 54 | 59.6 | (58.4, 60.8) |
| Medicaid | 3 | 2544 | 1077 | 88 | 42.1 | (40.9, 43.4) |
| Medicaid | 4 | 1904 | 597 | 43 | 32.1 | (31.0, 33.3) |
| Medicaid | 5 | 1537 | 344 | 23 | 26.3 | (25.2, 27.4) |
| Medicaid | 6 | 1264 | 255 | 18 | 21.9 | (20.9, 23.0) |
| Medicaid | 7 | 1037 | 211 | 16 | 18.2 | (17.3, 19.2) |
| Medicaid | 8 | 875 | 144 | 18 | 15.7 | (14.8, 16.6) |
| Medicaid | 9 | 738 | 126 | 11 | 13.4 | (12.6, 14.3) |
| Medicaid | 10 | 629 | 98 | 11 | 11.6 | (10.8, 12.5) |
| Medicaid | 11 | 550 | 69 | 10 | 10.3 | (9.6, 11.2) |
| Medicaid | 12 | 461 | 76 | 13 | 8.9 | (8.2, 9.7) |
| Medicaid | 13 | 401 | 54 | 6 | 7.8 | (7.2, 8.6) |
| Medicaid | 14 | 353 | 40 | 8 | 7.0 | (6.4, 7.8) |
| Medicaid | 15 | 312 | 37 | 4 | 6.3 | (5.7, 7.0) |
| Medicaid | 16 | 277 | 35 | 2 | 5.6 | (5.0, 6.2) |
| Medicaid | 17 | 243 | 29 | 3 | 5.0 | (4.4, 5.6) |
| Medicaid | 18 | 215 | 24 | 4 | 4.5 | (4.0, 5.1) |
| Medicaid | 19 | 199 | 15 | 1 | 4.2 | (3.7, 4.8) |
| Medicaid | 20 | 179 | 18 | 2 | 3.8 | (3.3, 4.4) |
| Medicaid | 21 | 161 | 17 | 1 | 3.4 | (3.0, 4.0) |
| Medicaid | 22 | 147 | 14 | 0 | 3.1 | (2.7, 3.7) |
| Medicaid | 23 | 123 | 21 | 3 | 2.7 | (2.3, 3.2) |
| Medicaid | 24 | 107 | 14 | 2 | 2.4 | (2.0, 2.8) |
| Medicaid | 25 | 103 | 4 | 0 | 2.3 | (1.9, 2.7) |
| Medicaid | 26 | 95 | 7 | 1 | 2.1 | (1.8, 2.6) |
| Medicaid | 27 | 83 | 11 | 1 | 1.9 | (1.5, 2.3) |
| Medicaid | 28 | 79 | 4 | 0 | 1.8 | (1.5, 2.2) |
| Medicaid | 29 | 67 | 12 | 0 | 1.5 | (1.2, 1.9) |
| Medicaid | 30 | 61 | 4 | 2 | 1.4 | (1.1, 1.8) |
| Medicaid | 31 | 56 | 5 | 0 | 1.3 | (1.0, 1.7) |
| Medicaid | 32 | 49 | 6 | 1 | 1.2 | (0.9, 1.5) |
| Medicaid | 33 | 43 | 6 | 0 | 1.0 | (0.8, 1.4) |
| Medicaid | 34 | 39 | 3 | 1 | 1.0 | (0.7, 1.3) |
| Medicaid | 35 | 38 | 1 | 0 | 0.9 | (0.7, 1.3) |
| Medicaid | 36 | 38 | 0 | 0 | 0.9 | (0.7, 1.3) |
| Medicaid | 37 | 38 | 0 | 0 | 0.9 | (0.7, 1.3) |
| Medicaid | 38 | 37 | 0 | 1 | 0.9 | (0.7, 1.3) |
| Medicaid | 39 | 32 | 5 | 0 | 0.8 | (0.6, 1.1) |
| Medicaid | 40 | 30 | 2 | 0 | 0.8 | (0.5, 1.1) |
| Medicaid | 41 | 27 | 3 | 0 | 0.7 | (0.5, 1.0) |
| Medicaid | 42 | 26 | 1 | 0 | 0.7 | (0.5, 0.9) |
| Medicaid | 43 | 24 | 2 | 0 | 0.6 | (0.4, 0.9) |
| Medicaid | 44 | 23 | 1 | 0 | 0.6 | (0.4, 0.9) |
| Medicaid | 45 | 23 | 0 | 0 | 0.6 | (0.4, 0.9) |
| Medicaid | 46 | 20 | 2 | 1 | 0.5 | (0.3, 0.8) |
| Medicaid | 47 | 18 | 2 | 0 | 0.5 | (0.3, 0.7) |
| Medicaid | 48 | 17 | 1 | 0 | 0.4 | (0.3, 0.7) |
By age category
| Stratum | Month | N at risk | Events | Censored | Surv (%) | 95% CI (%) |
|---|---|---|---|---|---|---|
| 18-34 | 0 | 4397 | 4 | 0 | 99.9 | (99.8, 100.0) |
| 18-34 | 1 | 2714 | 1616 | 63 | 63.1 | (61.7, 64.6) |
| 18-34 | 2 | 2207 | 461 | 46 | 52.3 | (50.9, 53.8) |
| 18-34 | 3 | 1385 | 726 | 96 | 34.8 | (33.4, 36.2) |
| 18-34 | 4 | 1059 | 293 | 33 | 27.3 | (26.0, 28.7) |
| 18-34 | 5 | 840 | 184 | 35 | 22.5 | (21.3, 23.8) |
| 18-34 | 6 | 620 | 180 | 40 | 17.6 | (16.4, 18.8) |
| 18-34 | 7 | 487 | 108 | 25 | 14.4 | (13.4, 15.6) |
| 18-34 | 8 | 405 | 66 | 16 | 12.5 | (11.4, 13.6) |
| 18-34 | 9 | 320 | 65 | 20 | 10.4 | (9.5, 11.5) |
| 18-34 | 10 | 256 | 54 | 10 | 8.6 | (7.7, 9.6) |
| 18-34 | 11 | 221 | 28 | 7 | 7.7 | (6.8, 8.6) |
| 18-34 | 12 | 170 | 41 | 10 | 6.2 | (5.4, 7.1) |
| 18-34 | 13 | 139 | 22 | 9 | 5.4 | (4.6, 6.2) |
| 18-34 | 14 | 117 | 18 | 4 | 4.7 | (4.0, 5.5) |
| 18-34 | 15 | 100 | 14 | 3 | 4.1 | (3.4, 4.9) |
| 18-34 | 16 | 89 | 8 | 4 | 3.8 | (3.1, 4.5) |
| 18-34 | 17 | 79 | 9 | 0 | 3.4 | (2.8, 4.1) |
| 18-34 | 18 | 68 | 7 | 4 | 3.1 | (2.5, 3.8) |
| 18-34 | 19 | 58 | 7 | 3 | 2.7 | (2.2, 3.4) |
| 18-34 | 20 | 49 | 7 | 2 | 2.4 | (1.9, 3.1) |
| 18-34 | 21 | 45 | 4 | 0 | 2.2 | (1.7, 2.9) |
| 18-34 | 22 | 41 | 3 | 1 | 2.1 | (1.6, 2.7) |
| 18-34 | 23 | 34 | 7 | 0 | 1.7 | (1.3, 2.3) |
| 18-34 | 24 | 29 | 5 | 0 | 1.5 | (1.0, 2.0) |
| 18-34 | 25 | 26 | 2 | 1 | 1.4 | (1.0, 1.9) |
| 18-34 | 26 | 24 | 1 | 1 | 1.3 | (0.9, 1.9) |
| 18-34 | 27 | 23 | 1 | 0 | 1.2 | (0.9, 1.8) |
| 18-34 | 28 | 22 | 1 | 0 | 1.2 | (0.8, 1.7) |
| 18-34 | 29 | 21 | 0 | 1 | 1.2 | (0.8, 1.7) |
| 18-34 | 30 | 19 | 1 | 1 | 1.1 | (0.8, 1.7) |
| 18-34 | 31 | 18 | 1 | 0 | 1.1 | (0.7, 1.6) |
| 18-34 | 32 | 17 | 1 | 0 | 1.0 | (0.7, 1.5) |
| 18-34 | 33 | 15 | 2 | 0 | 0.9 | (0.6, 1.4) |
| 18-34 | 34 | 13 | 0 | 2 | 0.9 | (0.6, 1.4) |
| 18-34 | 35 | 13 | 0 | 0 | 0.9 | (0.6, 1.4) |
| 18-34 | 36 | 13 | 0 | 0 | 0.9 | (0.6, 1.4) |
| 18-34 | 37 | 13 | 0 | 0 | 0.9 | (0.6, 1.4) |
| 18-34 | 38 | 13 | 0 | 0 | 0.9 | (0.6, 1.4) |
| 18-34 | 39 | 12 | 1 | 0 | 0.8 | (0.5, 1.3) |
| 18-34 | 40 | 12 | 0 | 0 | 0.8 | (0.5, 1.3) |
| 18-34 | 41 | 12 | 0 | 0 | 0.8 | (0.5, 1.3) |
| 18-34 | 42 | 12 | 0 | 0 | 0.8 | (0.5, 1.3) |
| 18-34 | 43 | 11 | 1 | 0 | 0.8 | (0.5, 1.3) |
| 18-34 | 44 | 10 | 1 | 0 | 0.7 | (0.4, 1.2) |
| 18-34 | 45 | 10 | 0 | 0 | 0.7 | (0.4, 1.2) |
| 18-34 | 46 | 9 | 0 | 1 | 0.7 | (0.4, 1.2) |
| 18-34 | 47 | 9 | 0 | 0 | 0.7 | (0.4, 1.2) |
| 18-34 | 48 | 7 | 1 | 1 | 0.6 | (0.3, 1.1) |
| 35-54 | 0 | 1754 | 0 | 0 | 100.0 | (100.0, 100.0) |
| 35-54 | 1 | 1227 | 502 | 25 | 71.4 | (69.3, 73.5) |
| 35-54 | 2 | 1059 | 153 | 15 | 62.4 | (60.2, 64.7) |
| 35-54 | 3 | 776 | 241 | 42 | 48.0 | (45.7, 50.4) |
| 35-54 | 4 | 629 | 122 | 25 | 40.3 | (38.1, 42.8) |
| 35-54 | 5 | 537 | 74 | 18 | 35.5 | (33.3, 37.9) |
| 35-54 | 6 | 436 | 75 | 26 | 30.4 | (28.3, 32.8) |
| 35-54 | 7 | 369 | 57 | 10 | 26.4 | (24.3, 28.7) |
| 35-54 | 8 | 323 | 32 | 14 | 24.1 | (22.0, 26.3) |
| 35-54 | 9 | 261 | 43 | 19 | 20.8 | (18.9, 23.0) |
| 35-54 | 10 | 228 | 27 | 6 | 18.6 | (16.7, 20.7) |
| 35-54 | 11 | 200 | 22 | 6 | 16.8 | (15.0, 18.9) |
| 35-54 | 12 | 167 | 31 | 2 | 14.2 | (12.5, 16.2) |
| 35-54 | 13 | 144 | 17 | 6 | 12.7 | (11.1, 14.6) |
| 35-54 | 14 | 131 | 10 | 3 | 11.8 | (10.2, 13.7) |
| 35-54 | 15 | 115 | 9 | 7 | 11.0 | (9.4, 12.9) |
| 35-54 | 16 | 104 | 9 | 2 | 10.1 | (8.6, 11.9) |
| 35-54 | 17 | 95 | 5 | 4 | 9.6 | (8.1, 11.4) |
| 35-54 | 18 | 84 | 10 | 1 | 8.6 | (7.2, 10.4) |
| 35-54 | 19 | 73 | 6 | 5 | 8.0 | (6.6, 9.7) |
| 35-54 | 20 | 64 | 7 | 2 | 7.2 | (5.9, 8.9) |
| 35-54 | 21 | 52 | 9 | 3 | 6.2 | (4.9, 7.8) |
| 35-54 | 22 | 46 | 6 | 0 | 5.5 | (4.3, 7.0) |
| 35-54 | 23 | 42 | 4 | 0 | 5.0 | (3.8, 6.5) |
| 35-54 | 24 | 37 | 4 | 1 | 4.5 | (3.4, 6.0) |
| 35-54 | 25 | 32 | 3 | 2 | 4.1 | (3.1, 5.6) |
| 35-54 | 26 | 28 | 3 | 1 | 3.8 | (2.7, 5.2) |
| 35-54 | 27 | 26 | 1 | 1 | 3.6 | (2.6, 5.0) |
| 35-54 | 28 | 25 | 1 | 0 | 3.5 | (2.5, 4.9) |
| 35-54 | 29 | 19 | 6 | 0 | 2.6 | (1.8, 4.0) |
| 35-54 | 30 | 16 | 1 | 2 | 2.5 | (1.6, 3.8) |
| 35-54 | 31 | 16 | 0 | 0 | 2.5 | (1.6, 3.8) |
| 35-54 | 32 | 13 | 3 | 0 | 2.0 | (1.3, 3.3) |
| 35-54 | 33 | 12 | 1 | 0 | 1.9 | (1.1, 3.1) |
| 35-54 | 34 | 11 | 1 | 0 | 1.7 | (1.0, 2.9) |
| 35-54 | 35 | 10 | 1 | 0 | 1.6 | (0.9, 2.7) |
| 35-54 | 36 | 10 | 0 | 0 | 1.6 | (0.9, 2.7) |
| 35-54 | 37 | 10 | 0 | 0 | 1.6 | (0.9, 2.7) |
| 35-54 | 38 | 10 | 0 | 0 | 1.6 | (0.9, 2.7) |
| 35-54 | 39 | 8 | 2 | 0 | 1.2 | (0.7, 2.4) |
| 35-54 | 40 | 6 | 1 | 1 | 1.1 | (0.5, 2.2) |
| 35-54 | 41 | 5 | 1 | 0 | 0.9 | (0.4, 2.0) |
| 35-54 | 42 | 5 | 0 | 0 | 0.9 | (0.4, 2.0) |
| 35-54 | 43 | 3 | 2 | 0 | 0.5 | (0.2, 1.6) |
| 35-54 | 44 | 3 | 0 | 0 | 0.5 | (0.2, 1.6) |
| 35-54 | 45 | 3 | 0 | 0 | 0.5 | (0.2, 1.6) |
| 35-54 | 46 | 2 | 1 | 0 | 0.4 | (0.1, 1.4) |
| 35-54 | 47 | 2 | 0 | 0 | 0.4 | (0.1, 1.4) |
| 35-54 | 48 | 2 | 0 | 0 | 0.4 | (0.1, 1.4) |
| 55+ | 0 | 272 | 0 | 0 | 100.0 | (100.0, 100.0) |
| 55+ | 1 | 207 | 62 | 3 | 77.2 | (72.4, 82.4) |
| 55+ | 2 | 183 | 21 | 3 | 69.3 | (64.0, 75.0) |
| 55+ | 3 | 149 | 23 | 11 | 60.5 | (55.0, 66.7) |
| 55+ | 4 | 127 | 17 | 5 | 53.6 | (47.9, 60.0) |
| 55+ | 5 | 111 | 14 | 2 | 47.6 | (41.9, 54.2) |
| 55+ | 6 | 91 | 15 | 5 | 41.0 | (35.4, 47.7) |
| 55+ | 7 | 84 | 6 | 1 | 38.3 | (32.7, 44.9) |
| 55+ | 8 | 78 | 5 | 1 | 36.0 | (30.5, 42.6) |
| 55+ | 9 | 61 | 15 | 2 | 28.9 | (23.7, 35.4) |
| 55+ | 10 | 54 | 6 | 1 | 26.1 | (21.0, 32.4) |
| 55+ | 11 | 44 | 6 | 4 | 23.2 | (18.3, 29.4) |
| 55+ | 12 | 40 | 2 | 2 | 22.1 | (17.2, 28.2) |
| 55+ | 13 | 34 | 5 | 1 | 19.3 | (14.7, 25.4) |
| 55+ | 14 | 31 | 1 | 2 | 18.7 | (14.1, 24.7) |
| 55+ | 15 | 27 | 4 | 0 | 16.3 | (11.9, 22.2) |
| 55+ | 16 | 26 | 1 | 0 | 15.7 | (11.4, 21.6) |
| 55+ | 17 | 22 | 2 | 2 | 14.4 | (10.2, 20.2) |
| 55+ | 18 | 18 | 3 | 1 | 12.4 | (8.5, 18.2) |
| 55+ | 19 | 17 | 1 | 0 | 11.7 | (7.9, 17.4) |
| 55+ | 20 | 17 | 0 | 0 | 11.7 | (7.9, 17.4) |
| 55+ | 21 | 16 | 1 | 0 | 11.0 | (7.3, 16.7) |
| 55+ | 22 | 16 | 0 | 0 | 11.0 | (7.3, 16.7) |
| 55+ | 23 | 15 | 0 | 1 | 11.0 | (7.3, 16.7) |
| 55+ | 24 | 14 | 0 | 1 | 11.0 | (7.3, 16.7) |
| 55+ | 25 | 13 | 1 | 0 | 10.2 | (6.6, 15.9) |
| 55+ | 26 | 13 | 0 | 0 | 10.2 | (6.6, 15.9) |
| 55+ | 27 | 12 | 1 | 0 | 9.5 | (5.9, 15.1) |
| 55+ | 28 | 10 | 2 | 0 | 7.9 | (4.6, 13.4) |
| 55+ | 29 | 9 | 1 | 0 | 7.1 | (4.0, 12.5) |
| 55+ | 30 | 7 | 1 | 1 | 6.2 | (3.3, 11.6) |
| 55+ | 31 | 7 | 0 | 0 | 6.2 | (3.3, 11.6) |
| 55+ | 32 | 7 | 0 | 0 | 6.2 | (3.3, 11.6) |
| 55+ | 33 | 5 | 2 | 0 | 4.4 | (2.0, 9.7) |
| 55+ | 34 | 4 | 1 | 0 | 3.5 | (1.4, 8.7) |
| 55+ | 35 | 3 | 1 | 0 | 2.7 | (0.9, 7.7) |
| 55+ | 36 | 3 | 0 | 0 | 2.7 | (0.9, 7.7) |
| 55+ | 37 | 2 | 1 | 0 | 1.8 | (0.5, 6.7) |
| 55+ | 38 | 2 | 0 | 0 | 1.8 | (0.5, 6.7) |
| 55+ | 39 | 2 | 0 | 0 | 1.8 | (0.5, 6.7) |
| 55+ | 40 | 2 | 0 | 0 | 1.8 | (0.5, 6.7) |
| 55+ | 41 | 2 | 0 | 0 | 1.8 | (0.5, 6.7) |
| 55+ | 42 | 1 | 1 | 0 | 0.9 | (0.1, 6.0) |
| 55+ | 43 | 1 | 0 | 0 | 0.9 | (0.1, 6.0) |
| 55+ | 44 | 1 | 0 | 0 | 0.9 | (0.1, 6.0) |
| 55+ | 45 | 1 | 0 | 0 | 0.9 | (0.1, 6.0) |
| 55+ | 46 | 1 | 0 | 0 | 0.9 | (0.1, 6.0) |
| 55+ | 47 | 1 | 0 | 0 | 0.9 | (0.1, 6.0) |
| 55+ | 48 | 1 | 0 | 0 | 0.9 | (0.1, 6.0) |
| <18 | 0 | 5948 | 1 | 0 | 100.0 | (100.0, 100.0) |
| <18 | 1 | 4662 | 1202 | 83 | 79.7 | (78.7, 80.8) |
| <18 | 2 | 4026 | 584 | 52 | 69.7 | (68.5, 70.9) |
| <18 | 3 | 2951 | 975 | 100 | 52.6 | (51.4, 53.9) |
| <18 | 4 | 2264 | 626 | 61 | 41.4 | (40.1, 42.6) |
| <18 | 5 | 1852 | 369 | 43 | 34.5 | (33.3, 35.8) |
| <18 | 6 | 1526 | 284 | 42 | 29.2 | (28.0, 30.4) |
| <18 | 7 | 1279 | 210 | 37 | 25.1 | (24.0, 26.3) |
| <18 | 8 | 1077 | 175 | 27 | 21.7 | (20.6, 22.8) |
| <18 | 9 | 911 | 147 | 19 | 18.7 | (17.7, 19.8) |
| <18 | 10 | 780 | 115 | 16 | 16.3 | (15.3, 17.3) |
| <18 | 11 | 674 | 87 | 19 | 14.5 | (13.5, 15.5) |
| <18 | 12 | 567 | 81 | 26 | 12.7 | (11.8, 13.6) |
| <18 | 13 | 500 | 59 | 8 | 11.4 | (10.5, 12.3) |
| <18 | 14 | 438 | 52 | 10 | 10.2 | (9.4, 11.0) |
| <18 | 15 | 387 | 47 | 4 | 9.1 | (8.3, 9.9) |
| <18 | 16 | 335 | 49 | 4 | 7.9 | (7.2, 8.7) |
| <18 | 17 | 293 | 35 | 6 | 7.1 | (6.4, 7.9) |
| <18 | 18 | 256 | 30 | 7 | 6.3 | (5.7, 7.1) |
| <18 | 19 | 233 | 21 | 2 | 5.8 | (5.2, 6.5) |
| <18 | 20 | 217 | 14 | 2 | 5.5 | (4.8, 6.2) |
| <18 | 21 | 196 | 19 | 2 | 5.0 | (4.4, 5.7) |
| <18 | 22 | 176 | 19 | 1 | 4.5 | (3.9, 5.2) |
| <18 | 23 | 147 | 25 | 4 | 3.9 | (3.3, 4.5) |
| <18 | 24 | 130 | 15 | 2 | 3.5 | (2.9, 4.1) |
| <18 | 25 | 124 | 5 | 1 | 3.3 | (2.8, 3.9) |
| <18 | 26 | 113 | 8 | 3 | 3.1 | (2.6, 3.7) |
| <18 | 27 | 98 | 14 | 1 | 2.7 | (2.3, 3.3) |
| <18 | 28 | 87 | 7 | 4 | 2.5 | (2.1, 3.1) |
| <18 | 29 | 75 | 9 | 3 | 2.3 | (1.8, 2.8) |
| <18 | 30 | 68 | 4 | 3 | 2.1 | (1.7, 2.6) |
| <18 | 31 | 60 | 8 | 0 | 1.9 | (1.5, 2.4) |
| <18 | 32 | 52 | 7 | 1 | 1.7 | (1.3, 2.1) |
| <18 | 33 | 46 | 6 | 0 | 1.5 | (1.1, 1.9) |
| <18 | 34 | 43 | 2 | 1 | 1.4 | (1.1, 1.8) |
| <18 | 35 | 42 | 1 | 0 | 1.4 | (1.0, 1.8) |
| <18 | 36 | 42 | 0 | 0 | 1.4 | (1.0, 1.8) |
| <18 | 37 | 39 | 3 | 0 | 1.3 | (1.0, 1.7) |
| <18 | 38 | 38 | 0 | 1 | 1.3 | (1.0, 1.7) |
| <18 | 39 | 32 | 4 | 2 | 1.1 | (0.8, 1.6) |
| <18 | 40 | 30 | 2 | 0 | 1.1 | (0.8, 1.5) |
| <18 | 41 | 28 | 2 | 0 | 1.0 | (0.7, 1.4) |
| <18 | 42 | 27 | 1 | 0 | 1.0 | (0.7, 1.4) |
| <18 | 43 | 25 | 1 | 1 | 0.9 | (0.6, 1.3) |
| <18 | 44 | 24 | 1 | 0 | 0.9 | (0.6, 1.3) |
| <18 | 45 | 22 | 1 | 1 | 0.8 | (0.6, 1.2) |
| <18 | 46 | 21 | 1 | 0 | 0.8 | (0.6, 1.2) |
| <18 | 47 | 18 | 2 | 1 | 0.7 | (0.5, 1.1) |
| <18 | 48 | 17 | 1 | 0 | 0.7 | (0.5, 1.1) |
By sex
| Stratum | Month | N at risk | Events | Censored | Surv (%) | 95% CI (%) |
|---|---|---|---|---|---|---|
| Female | 0 | 6267 | 2 | 0 | 100.0 | (99.9, 100.0) |
| Female | 1 | 4382 | 1804 | 79 | 71.2 | (70.0, 72.3) |
| Female | 2 | 3695 | 639 | 48 | 60.7 | (59.5, 62.0) |
| Female | 3 | 2560 | 1018 | 117 | 43.8 | (42.6, 45.1) |
| Female | 4 | 1975 | 530 | 55 | 34.6 | (33.4, 35.9) |
| Female | 5 | 1645 | 288 | 42 | 29.5 | (28.4, 30.7) |
| Female | 6 | 1302 | 289 | 54 | 24.3 | (23.2, 25.4) |
| Female | 7 | 1082 | 187 | 33 | 20.7 | (19.7, 21.8) |
| Female | 8 | 905 | 150 | 27 | 17.8 | (16.8, 18.9) |
| Female | 9 | 746 | 127 | 32 | 15.3 | (14.4, 16.3) |
| Female | 10 | 628 | 100 | 18 | 13.2 | (12.3, 14.1) |
| Female | 11 | 544 | 68 | 16 | 11.8 | (10.9, 12.7) |
| Female | 12 | 449 | 70 | 25 | 10.2 | (9.4, 11.1) |
| Female | 13 | 393 | 43 | 13 | 9.2 | (8.5, 10.1) |
| Female | 14 | 357 | 29 | 7 | 8.5 | (7.8, 9.3) |
| Female | 15 | 314 | 35 | 8 | 7.7 | (7.0, 8.5) |
| Female | 16 | 284 | 28 | 3 | 7.0 | (6.3, 7.8) |
| Female | 17 | 250 | 26 | 7 | 6.3 | (5.7, 7.1) |
| Female | 18 | 216 | 28 | 6 | 5.6 | (5.0, 6.3) |
| Female | 19 | 198 | 13 | 5 | 5.3 | (4.7, 6.0) |
| Female | 20 | 178 | 18 | 2 | 4.8 | (4.2, 5.5) |
| Female | 21 | 155 | 20 | 3 | 4.3 | (3.7, 4.9) |
| Female | 22 | 141 | 13 | 1 | 3.9 | (3.4, 4.5) |
| Female | 23 | 126 | 12 | 3 | 3.6 | (3.0, 4.2) |
| Female | 24 | 108 | 15 | 3 | 3.1 | (2.6, 3.7) |
| Female | 25 | 99 | 6 | 3 | 3.0 | (2.5, 3.5) |
| Female | 26 | 87 | 8 | 4 | 2.7 | (2.2, 3.3) |
| Female | 27 | 81 | 6 | 0 | 2.5 | (2.1, 3.1) |
| Female | 28 | 76 | 3 | 2 | 2.4 | (2.0, 3.0) |
| Female | 29 | 65 | 8 | 3 | 2.2 | (1.8, 2.7) |
| Female | 30 | 54 | 5 | 6 | 2.0 | (1.6, 2.5) |
| Female | 31 | 51 | 3 | 0 | 1.9 | (1.5, 2.4) |
| Female | 32 | 45 | 6 | 0 | 1.7 | (1.3, 2.1) |
| Female | 33 | 41 | 4 | 0 | 1.5 | (1.2, 2.0) |
| Female | 34 | 39 | 1 | 1 | 1.5 | (1.1, 1.9) |
| Female | 35 | 37 | 2 | 0 | 1.4 | (1.1, 1.9) |
| Female | 36 | 37 | 0 | 0 | 1.4 | (1.1, 1.9) |
| Female | 37 | 34 | 3 | 0 | 1.3 | (1.0, 1.7) |
| Female | 38 | 34 | 0 | 0 | 1.3 | (1.0, 1.7) |
| Female | 39 | 31 | 2 | 1 | 1.2 | (0.9, 1.7) |
| Female | 40 | 28 | 2 | 1 | 1.1 | (0.8, 1.6) |
| Female | 41 | 26 | 2 | 0 | 1.1 | (0.7, 1.5) |
| Female | 42 | 24 | 2 | 0 | 1.0 | (0.7, 1.4) |
| Female | 43 | 23 | 1 | 0 | 0.9 | (0.6, 1.3) |
| Female | 44 | 23 | 0 | 0 | 0.9 | (0.6, 1.3) |
| Female | 45 | 22 | 0 | 1 | 0.9 | (0.6, 1.3) |
| Female | 46 | 19 | 2 | 1 | 0.8 | (0.6, 1.2) |
| Female | 47 | 17 | 1 | 1 | 0.8 | (0.5, 1.2) |
| Female | 48 | 16 | 0 | 1 | 0.8 | (0.5, 1.2) |
| Male | 0 | 6104 | 3 | 0 | 100.0 | (99.9, 100.0) |
| Male | 1 | 4428 | 1578 | 95 | 74.0 | (73.0, 75.2) |
| Male | 2 | 3780 | 580 | 68 | 64.3 | (63.1, 65.5) |
| Male | 3 | 2701 | 947 | 132 | 47.9 | (46.7, 49.2) |
| Male | 4 | 2104 | 528 | 69 | 38.5 | (37.2, 39.7) |
| Male | 5 | 1695 | 353 | 56 | 31.9 | (30.7, 33.2) |
| Male | 6 | 1371 | 265 | 59 | 26.8 | (25.7, 28.0) |
| Male | 7 | 1137 | 194 | 40 | 23.0 | (21.9, 24.1) |
| Male | 8 | 978 | 128 | 31 | 20.4 | (19.3, 21.5) |
| Male | 9 | 807 | 143 | 28 | 17.4 | (16.4, 18.4) |
| Male | 10 | 690 | 102 | 15 | 15.1 | (14.2, 16.2) |
| Male | 11 | 595 | 75 | 20 | 13.5 | (12.6, 14.4) |
| Male | 12 | 495 | 85 | 15 | 11.5 | (10.7, 12.5) |
| Male | 13 | 424 | 60 | 11 | 10.1 | (9.3, 11.0) |
| Male | 14 | 360 | 52 | 12 | 8.9 | (8.1, 9.7) |
| Male | 15 | 315 | 39 | 6 | 7.9 | (7.1, 8.7) |
| Male | 16 | 270 | 39 | 7 | 6.9 | (6.2, 7.7) |
| Male | 17 | 239 | 25 | 5 | 6.3 | (5.6, 7.0) |
| Male | 18 | 210 | 22 | 7 | 5.7 | (5.0, 6.4) |
| Male | 19 | 183 | 22 | 5 | 5.1 | (4.4, 5.8) |
| Male | 20 | 169 | 10 | 4 | 4.8 | (4.2, 5.5) |
| Male | 21 | 154 | 13 | 2 | 4.4 | (3.8, 5.1) |
| Male | 22 | 138 | 15 | 1 | 4.0 | (3.4, 4.6) |
| Male | 23 | 112 | 24 | 2 | 3.3 | (2.8, 3.9) |
| Male | 24 | 102 | 9 | 1 | 3.0 | (2.5, 3.6) |
| Male | 25 | 96 | 5 | 1 | 2.9 | (2.4, 3.5) |
| Male | 26 | 91 | 4 | 1 | 2.8 | (2.3, 3.3) |
| Male | 27 | 78 | 11 | 2 | 2.4 | (2.0, 3.0) |
| Male | 28 | 68 | 8 | 2 | 2.2 | (1.7, 2.7) |
| Male | 29 | 59 | 8 | 1 | 1.9 | (1.5, 2.4) |
| Male | 30 | 56 | 2 | 1 | 1.8 | (1.4, 2.3) |
| Male | 31 | 50 | 6 | 0 | 1.6 | (1.3, 2.1) |
| Male | 32 | 44 | 5 | 1 | 1.5 | (1.1, 1.9) |
| Male | 33 | 37 | 7 | 0 | 1.2 | (0.9, 1.7) |
| Male | 34 | 32 | 3 | 2 | 1.1 | (0.8, 1.6) |
| Male | 35 | 31 | 1 | 0 | 1.1 | (0.8, 1.5) |
| Male | 36 | 31 | 0 | 0 | 1.1 | (0.8, 1.5) |
| Male | 37 | 30 | 1 | 0 | 1.1 | (0.8, 1.5) |
| Male | 38 | 29 | 0 | 1 | 1.1 | (0.8, 1.5) |
| Male | 39 | 23 | 5 | 1 | 0.9 | (0.6, 1.3) |
| Male | 40 | 22 | 1 | 0 | 0.8 | (0.6, 1.2) |
| Male | 41 | 21 | 1 | 0 | 0.8 | (0.5, 1.2) |
| Male | 42 | 21 | 0 | 0 | 0.8 | (0.5, 1.2) |
| Male | 43 | 17 | 3 | 1 | 0.7 | (0.4, 1.1) |
| Male | 44 | 15 | 2 | 0 | 0.6 | (0.4, 1.0) |
| Male | 45 | 14 | 1 | 0 | 0.6 | (0.3, 0.9) |
| Male | 46 | 14 | 0 | 0 | 0.6 | (0.3, 0.9) |
| Male | 47 | 13 | 1 | 0 | 0.5 | (0.3, 0.9) |
| Male | 48 | 11 | 2 | 0 | 0.4 | (0.3, 0.8) |
Overall
| Month | N at risk | Events | Censored | Surv (%) | 95% CI (%) |
|---|---|---|---|---|---|
| 0 | 706 | 0 | 0 | 100.0 | (100.0, 100.0) |
| 1 | 375 | 318 | 13 | 55.0 | (51.4, 58.8) |
| 2 | 299 | 69 | 7 | 44.7 | (41.2, 48.6) |
| 3 | 179 | 107 | 13 | 28.4 | (25.2, 32.0) |
| 4 | 121 | 53 | 5 | 19.8 | (17.0, 23.1) |
| 5 | 81 | 37 | 3 | 13.7 | (11.2, 16.6) |
| 6 | 64 | 17 | 0 | 10.8 | (8.6, 13.5) |
| 7 | 47 | 16 | 1 | 8.1 | (6.2, 10.6) |
| 8 | 36 | 10 | 1 | 6.3 | (4.7, 8.6) |
| 9 | 26 | 9 | 1 | 4.7 | (3.3, 6.8) |
| 10 | 22 | 4 | 0 | 4.0 | (2.7, 6.0) |
| 11 | 19 | 3 | 0 | 3.5 | (2.2, 5.3) |
| 12 | 12 | 6 | 1 | 2.3 | (1.4, 4.0) |
| 13 | 11 | 1 | 0 | 2.1 | (1.2, 3.7) |
| 14 | 9 | 0 | 2 | 2.1 | (1.2, 3.7) |
| 15 | 7 | 2 | 0 | 1.7 | (0.9, 3.2) |
| 16 | 5 | 1 | 1 | 1.4 | (0.7, 2.9) |
| 17 | 3 | 2 | 0 | 0.8 | (0.3, 2.4) |
| 18 | 3 | 0 | 0 | 0.8 | (0.3, 2.4) |
| 19 | 3 | 0 | 0 | 0.8 | (0.3, 2.4) |
| 20 | 2 | 1 | 0 | 0.6 | (0.2, 2.1) |
| 21 | 2 | 0 | 0 | 0.6 | (0.2, 2.1) |
| 22 | 1 | 1 | 0 | 0.3 | (0.0, 1.9) |
| 23 | 1 | 0 | 0 | 0.3 | (0.0, 1.9) |
| 24 | 0 | 1 | 0 | 0.0 | (NA, NA) |
| 25 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 26 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 27 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 28 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 29 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 30 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 31 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 32 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 33 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 34 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 35 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 36 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 37 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 38 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 39 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 40 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 41 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 42 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 43 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 44 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 45 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 46 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 47 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 48 | 0 | 0 | 0 | 0.0 | (NA, NA) |
By insurance
| Stratum | Month | N at risk | Events | Censored | Surv (%) | 95% CI (%) |
|---|---|---|---|---|---|---|
| Commercial | 0 | 307 | 0 | 0 | 100.0 | (100.0, 100.0) |
| Commercial | 1 | 148 | 149 | 10 | 51.5 | (46.2, 57.4) |
| Commercial | 2 | 115 | 28 | 5 | 41.5 | (36.3, 47.5) |
| Commercial | 3 | 68 | 41 | 6 | 26.4 | (21.7, 32.1) |
| Commercial | 4 | 46 | 21 | 1 | 18.1 | (14.1, 23.4) |
| Commercial | 5 | 30 | 15 | 1 | 12.1 | (8.8, 16.8) |
| Commercial | 6 | 23 | 7 | 0 | 9.3 | (6.4, 13.6) |
| Commercial | 7 | 18 | 4 | 1 | 7.7 | (5.0, 11.7) |
| Commercial | 8 | 13 | 4 | 1 | 5.9 | (3.6, 9.7) |
| Commercial | 9 | 11 | 1 | 1 | 5.4 | (3.2, 9.1) |
| Commercial | 10 | 9 | 2 | 0 | 4.4 | (2.4, 8.0) |
| Commercial | 11 | 8 | 1 | 0 | 3.9 | (2.1, 7.4) |
| Commercial | 12 | 8 | 0 | 0 | 3.9 | (2.1, 7.4) |
| Commercial | 13 | 7 | 1 | 0 | 3.4 | (1.7, 6.9) |
| Commercial | 14 | 7 | 0 | 0 | 3.4 | (1.7, 6.9) |
| Commercial | 15 | 6 | 1 | 0 | 2.9 | (1.4, 6.3) |
| Commercial | 16 | 5 | 0 | 1 | 2.9 | (1.4, 6.3) |
| Commercial | 17 | 3 | 2 | 0 | 1.8 | (0.6, 5.0) |
| Commercial | 18 | 3 | 0 | 0 | 1.8 | (0.6, 5.0) |
| Commercial | 19 | 3 | 0 | 0 | 1.8 | (0.6, 5.0) |
| Commercial | 20 | 2 | 1 | 0 | 1.2 | (0.3, 4.4) |
| Commercial | 21 | 2 | 0 | 0 | 1.2 | (0.3, 4.4) |
| Commercial | 22 | 1 | 1 | 0 | 0.6 | (0.1, 4.0) |
| Commercial | 23 | 1 | 0 | 0 | 0.6 | (0.1, 4.0) |
| Commercial | 24 | 0 | 1 | 0 | 0.0 | (NA, NA) |
| Commercial | 25 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Commercial | 26 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Commercial | 27 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Commercial | 28 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Commercial | 29 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Commercial | 30 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Commercial | 31 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Commercial | 32 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Commercial | 33 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Commercial | 34 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Commercial | 35 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Commercial | 36 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Commercial | 37 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Commercial | 38 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Commercial | 39 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Commercial | 40 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Commercial | 41 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Commercial | 42 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Commercial | 43 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Commercial | 44 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Commercial | 45 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Commercial | 46 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Commercial | 47 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Commercial | 48 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Medicaid | 0 | 399 | 0 | 0 | 100.0 | (100.0, 100.0) |
| Medicaid | 1 | 227 | 169 | 3 | 57.6 | (53.0, 62.7) |
| Medicaid | 2 | 184 | 41 | 2 | 47.2 | (42.5, 52.4) |
| Medicaid | 3 | 111 | 66 | 7 | 29.9 | (25.6, 34.8) |
| Medicaid | 4 | 75 | 32 | 4 | 21.1 | (17.3, 25.6) |
| Medicaid | 5 | 51 | 22 | 2 | 14.8 | (11.6, 18.9) |
| Medicaid | 6 | 41 | 10 | 0 | 11.9 | (9.0, 15.8) |
| Medicaid | 7 | 29 | 12 | 0 | 8.4 | (6.0, 11.9) |
| Medicaid | 8 | 23 | 6 | 0 | 6.7 | (4.5, 9.9) |
| Medicaid | 9 | 15 | 8 | 0 | 4.4 | (2.7, 7.1) |
| Medicaid | 10 | 13 | 2 | 0 | 3.8 | (2.2, 6.4) |
| Medicaid | 11 | 11 | 2 | 0 | 3.2 | (1.8, 5.7) |
| Medicaid | 12 | 4 | 6 | 1 | 1.3 | (0.5, 3.4) |
| Medicaid | 13 | 4 | 0 | 0 | 1.3 | (0.5, 3.4) |
| Medicaid | 14 | 2 | 0 | 2 | 1.3 | (0.5, 3.4) |
| Medicaid | 15 | 1 | 1 | 0 | 0.7 | (0.1, 3.5) |
| Medicaid | 16 | 0 | 1 | 0 | 0.0 | (NA, NA) |
| Medicaid | 17 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Medicaid | 18 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Medicaid | 19 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Medicaid | 20 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Medicaid | 21 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Medicaid | 22 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Medicaid | 23 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Medicaid | 24 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Medicaid | 25 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Medicaid | 26 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Medicaid | 27 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Medicaid | 28 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Medicaid | 29 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Medicaid | 30 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Medicaid | 31 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Medicaid | 32 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Medicaid | 33 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Medicaid | 34 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Medicaid | 35 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Medicaid | 36 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Medicaid | 37 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Medicaid | 38 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Medicaid | 39 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Medicaid | 40 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Medicaid | 41 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Medicaid | 42 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Medicaid | 43 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Medicaid | 44 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Medicaid | 45 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Medicaid | 46 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Medicaid | 47 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Medicaid | 48 | 0 | 0 | 0 | 0.0 | (NA, NA) |
By age category
| Stratum | Month | N at risk | Events | Censored | Surv (%) | 95% CI (%) |
|---|---|---|---|---|---|---|
| 18-34 | 0 | 231 | 0 | 0 | 100.0 | (100.0, 100.0) |
| 18-34 | 1 | 93 | 133 | 5 | 42.4 | (36.5, 49.3) |
| 18-34 | 2 | 76 | 17 | 0 | 34.7 | (29.0, 41.4) |
| 18-34 | 3 | 42 | 28 | 6 | 21.4 | (16.6, 27.6) |
| 18-34 | 4 | 26 | 16 | 0 | 13.2 | (9.3, 18.7) |
| 18-34 | 5 | 18 | 7 | 1 | 9.6 | (6.3, 14.6) |
| 18-34 | 6 | 12 | 6 | 0 | 6.4 | (3.7, 10.9) |
| 18-34 | 7 | 11 | 1 | 0 | 5.8 | (3.3, 10.2) |
| 18-34 | 8 | 7 | 3 | 1 | 4.1 | (2.1, 8.2) |
| 18-34 | 9 | 4 | 3 | 0 | 2.4 | (0.9, 6.0) |
| 18-34 | 10 | 4 | 0 | 0 | 2.4 | (0.9, 6.0) |
| 18-34 | 11 | 3 | 1 | 0 | 1.8 | (0.6, 5.3) |
| 18-34 | 12 | 2 | 1 | 0 | 1.2 | (0.3, 4.6) |
| 18-34 | 13 | 2 | 0 | 0 | 1.2 | (0.3, 4.6) |
| 18-34 | 14 | 2 | 0 | 0 | 1.2 | (0.3, 4.6) |
| 18-34 | 15 | 1 | 1 | 0 | 0.6 | (0.1, 4.1) |
| 18-34 | 16 | 0 | 1 | 0 | 0.0 | (NA, NA) |
| 18-34 | 17 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 18-34 | 18 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 18-34 | 19 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 18-34 | 20 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 18-34 | 21 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 18-34 | 22 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 18-34 | 23 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 18-34 | 24 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 18-34 | 25 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 18-34 | 26 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 18-34 | 27 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 18-34 | 28 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 18-34 | 29 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 18-34 | 30 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 18-34 | 31 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 18-34 | 32 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 18-34 | 33 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 18-34 | 34 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 18-34 | 35 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 18-34 | 36 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 18-34 | 37 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 18-34 | 38 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 18-34 | 39 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 18-34 | 40 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 18-34 | 41 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 18-34 | 42 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 18-34 | 43 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 18-34 | 44 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 18-34 | 45 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 18-34 | 46 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 18-34 | 47 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 18-34 | 48 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 35-54 | 0 | 103 | 0 | 0 | 100.0 | (100.0, 100.0) |
| 35-54 | 1 | 57 | 42 | 4 | 59.2 | (50.5, 69.5) |
| 35-54 | 2 | 43 | 11 | 3 | 47.3 | (38.4, 58.2) |
| 35-54 | 3 | 26 | 14 | 3 | 31.5 | (23.3, 42.5) |
| 35-54 | 4 | 18 | 7 | 1 | 22.7 | (15.4, 33.4) |
| 35-54 | 5 | 14 | 3 | 1 | 18.7 | (12.0, 29.2) |
| 35-54 | 6 | 10 | 4 | 0 | 13.4 | (7.7, 23.2) |
| 35-54 | 7 | 6 | 4 | 0 | 8.0 | (3.8, 17.0) |
| 35-54 | 8 | 5 | 1 | 0 | 6.7 | (2.9, 15.3) |
| 35-54 | 9 | 3 | 1 | 1 | 5.0 | (1.8, 13.7) |
| 35-54 | 10 | 3 | 0 | 0 | 5.0 | (1.8, 13.7) |
| 35-54 | 11 | 3 | 0 | 0 | 5.0 | (1.8, 13.7) |
| 35-54 | 12 | 3 | 0 | 0 | 5.0 | (1.8, 13.7) |
| 35-54 | 13 | 2 | 1 | 0 | 3.3 | (0.9, 12.1) |
| 35-54 | 14 | 2 | 0 | 0 | 3.3 | (0.9, 12.1) |
| 35-54 | 15 | 2 | 0 | 0 | 3.3 | (0.9, 12.1) |
| 35-54 | 16 | 2 | 0 | 0 | 3.3 | (0.9, 12.1) |
| 35-54 | 17 | 2 | 0 | 0 | 3.3 | (0.9, 12.1) |
| 35-54 | 18 | 2 | 0 | 0 | 3.3 | (0.9, 12.1) |
| 35-54 | 19 | 2 | 0 | 0 | 3.3 | (0.9, 12.1) |
| 35-54 | 20 | 1 | 1 | 0 | 1.7 | (0.3, 11.1) |
| 35-54 | 21 | 1 | 0 | 0 | 1.7 | (0.3, 11.1) |
| 35-54 | 22 | 1 | 0 | 0 | 1.7 | (0.3, 11.1) |
| 35-54 | 23 | 1 | 0 | 0 | 1.7 | (0.3, 11.1) |
| 35-54 | 24 | 0 | 1 | 0 | 0.0 | (NA, NA) |
| 35-54 | 25 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 35-54 | 26 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 35-54 | 27 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 35-54 | 28 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 35-54 | 29 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 35-54 | 30 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 35-54 | 31 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 35-54 | 32 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 35-54 | 33 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 35-54 | 34 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 35-54 | 35 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 35-54 | 36 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 35-54 | 37 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 35-54 | 38 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 35-54 | 39 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 35-54 | 40 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 35-54 | 41 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 35-54 | 42 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 35-54 | 43 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 35-54 | 44 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 35-54 | 45 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 35-54 | 46 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 35-54 | 47 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 35-54 | 48 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 0 | 12 | 0 | 0 | 100.0 | (100.0, 100.0) |
| 55+ | 1 | 9 | 3 | 0 | 75.0 | (54.1, 100.0) |
| 55+ | 2 | 7 | 2 | 0 | 58.3 | (36.2, 94.1) |
| 55+ | 3 | 3 | 4 | 0 | 25.0 | (9.4, 66.6) |
| 55+ | 4 | 0 | 3 | 0 | 0.0 | (NA, NA) |
| 55+ | 5 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 6 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 7 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 8 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 9 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 10 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 11 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 12 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 13 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 14 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 15 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 16 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 17 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 18 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 19 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 20 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 21 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 22 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 23 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 24 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 25 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 26 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 27 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 28 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 29 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 30 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 31 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 32 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 33 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 34 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 35 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 36 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 37 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 38 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 39 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 40 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 41 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 42 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 43 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 44 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 45 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 46 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 47 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 48 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| <18 | 0 | 360 | 0 | 0 | 100.0 | (100.0, 100.0) |
| <18 | 1 | 216 | 140 | 4 | 61.1 | (56.3, 66.4) |
| <18 | 2 | 173 | 39 | 4 | 50.0 | (45.0, 55.4) |
| <18 | 3 | 108 | 61 | 4 | 32.2 | (27.6, 37.5) |
| <18 | 4 | 77 | 27 | 4 | 23.9 | (19.8, 28.9) |
| <18 | 5 | 49 | 27 | 1 | 15.5 | (12.1, 19.9) |
| <18 | 6 | 42 | 7 | 0 | 13.3 | (10.1, 17.5) |
| <18 | 7 | 30 | 11 | 1 | 9.8 | (7.0, 13.6) |
| <18 | 8 | 24 | 6 | 0 | 7.8 | (5.4, 11.4) |
| <18 | 9 | 19 | 5 | 0 | 6.2 | (4.0, 9.5) |
| <18 | 10 | 15 | 4 | 0 | 4.9 | (3.0, 8.0) |
| <18 | 11 | 13 | 2 | 0 | 4.2 | (2.5, 7.2) |
| <18 | 12 | 7 | 5 | 1 | 2.5 | (1.2, 5.1) |
| <18 | 13 | 7 | 0 | 0 | 2.5 | (1.2, 5.1) |
| <18 | 14 | 5 | 0 | 2 | 2.5 | (1.2, 5.1) |
| <18 | 15 | 4 | 1 | 0 | 2.0 | (0.9, 4.6) |
| <18 | 16 | 3 | 0 | 1 | 2.0 | (0.9, 4.6) |
| <18 | 17 | 1 | 2 | 0 | 0.7 | (0.1, 4.0) |
| <18 | 18 | 1 | 0 | 0 | 0.7 | (0.1, 4.0) |
| <18 | 19 | 1 | 0 | 0 | 0.7 | (0.1, 4.0) |
| <18 | 20 | 1 | 0 | 0 | 0.7 | (0.1, 4.0) |
| <18 | 21 | 1 | 0 | 0 | 0.7 | (0.1, 4.0) |
| <18 | 22 | 0 | 1 | 0 | 0.0 | (NA, NA) |
| <18 | 23 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| <18 | 24 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| <18 | 25 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| <18 | 26 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| <18 | 27 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| <18 | 28 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| <18 | 29 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| <18 | 30 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| <18 | 31 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| <18 | 32 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| <18 | 33 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| <18 | 34 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| <18 | 35 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| <18 | 36 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| <18 | 37 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| <18 | 38 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| <18 | 39 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| <18 | 40 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| <18 | 41 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| <18 | 42 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| <18 | 43 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| <18 | 44 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| <18 | 45 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| <18 | 46 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| <18 | 47 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| <18 | 48 | 0 | 0 | 0 | 0.0 | (NA, NA) |
By sex
| Stratum | Month | N at risk | Events | Censored | Surv (%) | 95% CI (%) |
|---|---|---|---|---|---|---|
| Female | 0 | 389 | 0 | 0 | 100.0 | (100.0, 100.0) |
| Female | 1 | 198 | 185 | 6 | 52.4 | (47.7, 57.6) |
| Female | 2 | 161 | 33 | 4 | 43.6 | (38.9, 48.8) |
| Female | 3 | 96 | 57 | 8 | 27.8 | (23.6, 32.8) |
| Female | 4 | 62 | 30 | 4 | 18.9 | (15.3, 23.5) |
| Female | 5 | 43 | 18 | 1 | 13.4 | (10.2, 17.5) |
| Female | 6 | 33 | 10 | 0 | 10.3 | (7.5, 14.0) |
| Female | 7 | 25 | 7 | 1 | 8.1 | (5.6, 11.6) |
| Female | 8 | 18 | 7 | 0 | 5.8 | (3.8, 9.0) |
| Female | 9 | 13 | 5 | 0 | 4.2 | (2.5, 7.1) |
| Female | 10 | 10 | 3 | 0 | 3.2 | (1.8, 5.9) |
| Female | 11 | 7 | 3 | 0 | 2.3 | (1.1, 4.7) |
| Female | 12 | 4 | 2 | 1 | 1.5 | (0.6, 3.8) |
| Female | 13 | 4 | 0 | 0 | 1.5 | (0.6, 3.8) |
| Female | 14 | 4 | 0 | 0 | 1.5 | (0.6, 3.8) |
| Female | 15 | 4 | 0 | 0 | 1.5 | (0.6, 3.8) |
| Female | 16 | 3 | 1 | 0 | 1.1 | (0.4, 3.3) |
| Female | 17 | 2 | 1 | 0 | 0.8 | (0.2, 2.9) |
| Female | 18 | 2 | 0 | 0 | 0.8 | (0.2, 2.9) |
| Female | 19 | 2 | 0 | 0 | 0.8 | (0.2, 2.9) |
| Female | 20 | 1 | 1 | 0 | 0.4 | (0.1, 2.6) |
| Female | 21 | 1 | 0 | 0 | 0.4 | (0.1, 2.6) |
| Female | 22 | 0 | 1 | 0 | 0.0 | (NA, NA) |
| Female | 23 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Female | 24 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Female | 25 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Female | 26 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Female | 27 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Female | 28 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Female | 29 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Female | 30 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Female | 31 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Female | 32 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Female | 33 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Female | 34 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Female | 35 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Female | 36 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Female | 37 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Female | 38 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Female | 39 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Female | 40 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Female | 41 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Female | 42 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Female | 43 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Female | 44 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Female | 45 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Female | 46 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Female | 47 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Female | 48 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Male | 0 | 317 | 0 | 0 | 100.0 | (100.0, 100.0) |
| Male | 1 | 177 | 133 | 7 | 58.0 | (52.9, 63.7) |
| Male | 2 | 138 | 36 | 3 | 46.2 | (41.0, 52.1) |
| Male | 3 | 83 | 50 | 5 | 29.1 | (24.4, 34.7) |
| Male | 4 | 59 | 23 | 1 | 20.9 | (16.8, 26.1) |
| Male | 5 | 38 | 19 | 2 | 14.1 | (10.6, 18.7) |
| Male | 6 | 31 | 7 | 0 | 11.5 | (8.3, 15.9) |
| Male | 7 | 22 | 9 | 0 | 8.1 | (5.5, 12.1) |
| Male | 8 | 18 | 3 | 1 | 7.0 | (4.6, 10.8) |
| Male | 9 | 13 | 4 | 1 | 5.4 | (3.2, 8.9) |
| Male | 10 | 12 | 1 | 0 | 5.0 | (2.9, 8.4) |
| Male | 11 | 12 | 0 | 0 | 5.0 | (2.9, 8.4) |
| Male | 12 | 8 | 4 | 0 | 3.3 | (1.7, 6.4) |
| Male | 13 | 7 | 1 | 0 | 2.9 | (1.4, 5.9) |
| Male | 14 | 5 | 0 | 2 | 2.9 | (1.4, 5.9) |
| Male | 15 | 3 | 2 | 0 | 1.7 | (0.6, 4.8) |
| Male | 16 | 2 | 0 | 1 | 1.7 | (0.6, 4.8) |
| Male | 17 | 1 | 1 | 0 | 0.9 | (0.2, 4.8) |
| Male | 18 | 1 | 0 | 0 | 0.9 | (0.2, 4.8) |
| Male | 19 | 1 | 0 | 0 | 0.9 | (0.2, 4.8) |
| Male | 20 | 1 | 0 | 0 | 0.9 | (0.2, 4.8) |
| Male | 21 | 1 | 0 | 0 | 0.9 | (0.2, 4.8) |
| Male | 22 | 1 | 0 | 0 | 0.9 | (0.2, 4.8) |
| Male | 23 | 1 | 0 | 0 | 0.9 | (0.2, 4.8) |
| Male | 24 | 0 | 1 | 0 | 0.0 | (NA, NA) |
| Male | 25 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Male | 26 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Male | 27 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Male | 28 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Male | 29 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Male | 30 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Male | 31 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Male | 32 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Male | 33 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Male | 34 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Male | 35 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Male | 36 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Male | 37 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Male | 38 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Male | 39 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Male | 40 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Male | 41 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Male | 42 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Male | 43 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Male | 44 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Male | 45 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Male | 46 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Male | 47 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Male | 48 | 0 | 0 | 0 | 0.0 | (NA, NA) |
Only overall life table shown given small n (= 34).
Overall
| Month | N at risk | Events | Censored | Surv (%) | 95% CI (%) |
|---|---|---|---|---|---|
| 0 | 33 | 22 | 0 | 33.3 | (20.6, 54.0) |
| 1 | 6 | 5 | 0 | 18.2 | (8.8, 37.5) |
| 2 | 5 | 1 | 0 | 15.2 | (6.8, 34.0) |
| 3 | 4 | 0 | 1 | 15.2 | (6.8, 34.0) |
| 4 | 4 | 0 | 0 | 15.2 | (6.8, 34.0) |
| 5 | 1 | 3 | 0 | 3.8 | (0.6, 24.8) |
| 6 | 0 | 1 | 0 | 0.0 | (NA, NA) |
| 7 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 8 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 9 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 10 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 11 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 12 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 13 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 14 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 15 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 16 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 17 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 18 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 19 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 20 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 21 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 22 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 23 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 24 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 25 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 26 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 27 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 28 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 29 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 30 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 31 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 32 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 33 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 34 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 35 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 36 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 37 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 38 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 39 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 40 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 41 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 42 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 43 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 44 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 45 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 46 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 47 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 48 | 0 | 0 | 0 | 0.0 | (NA, NA) |
Overall
| Month | N at risk | Events | Censored | Surv (%) | 95% CI (%) |
|---|---|---|---|---|---|
| 0 | 818 | 0 | 0 | 100.0 | (100.0, 100.0) |
| 1 | 575 | 215 | 28 | 73.7 | (70.8, 76.8) |
| 2 | 464 | 93 | 18 | 61.7 | (58.4, 65.1) |
| 3 | 344 | 94 | 26 | 48.8 | (45.4, 52.5) |
| 4 | 258 | 67 | 19 | 39.0 | (35.6, 42.7) |
| 5 | 205 | 42 | 11 | 32.5 | (29.3, 36.2) |
| 6 | 155 | 38 | 12 | 26.4 | (23.3, 29.9) |
| 7 | 127 | 21 | 7 | 22.7 | (19.7, 26.1) |
| 8 | 95 | 23 | 9 | 18.4 | (15.6, 21.7) |
| 9 | 83 | 9 | 3 | 16.6 | (13.9, 19.9) |
| 10 | 65 | 15 | 3 | 13.6 | (11.1, 16.7) |
| 11 | 51 | 11 | 3 | 11.2 | (8.9, 14.2) |
| 12 | 38 | 8 | 5 | 9.5 | (7.3, 12.3) |
| 13 | 32 | 4 | 2 | 8.4 | (6.3, 11.2) |
| 14 | 31 | 1 | 0 | 8.2 | (6.1, 11.0) |
| 15 | 27 | 4 | 0 | 7.1 | (5.2, 9.8) |
| 16 | 23 | 2 | 2 | 6.6 | (4.7, 9.3) |
| 17 | 14 | 4 | 5 | 5.2 | (3.5, 7.9) |
| 18 | 13 | 1 | 0 | 4.8 | (3.1, 7.5) |
| 19 | 12 | 1 | 0 | 4.5 | (2.8, 7.1) |
| 20 | 11 | 1 | 0 | 4.1 | (2.5, 6.7) |
| 21 | 8 | 3 | 0 | 3.0 | (1.6, 5.5) |
| 22 | 6 | 0 | 2 | 3.0 | (1.6, 5.5) |
| 23 | 5 | 1 | 0 | 2.5 | (1.2, 5.0) |
| 24 | 4 | 0 | 1 | 2.5 | (1.2, 5.0) |
| 25 | 3 | 0 | 1 | 2.5 | (1.2, 5.0) |
| 26 | 3 | 0 | 0 | 2.5 | (1.2, 5.0) |
| 27 | 3 | 0 | 0 | 2.5 | (1.2, 5.0) |
| 28 | 3 | 0 | 0 | 2.5 | (1.2, 5.0) |
| 29 | 3 | 0 | 0 | 2.5 | (1.2, 5.0) |
| 30 | 3 | 0 | 0 | 2.5 | (1.2, 5.0) |
| 31 | 2 | 0 | 1 | 2.5 | (1.2, 5.0) |
| 32 | 2 | 0 | 0 | 2.5 | (1.2, 5.0) |
| 33 | 2 | 0 | 0 | 2.5 | (1.2, 5.0) |
| 34 | 1 | 1 | 0 | 1.2 | (0.3, 5.9) |
| 35 | 1 | 0 | 0 | 1.2 | (0.3, 5.9) |
| 36 | 1 | 0 | 0 | 1.2 | (0.3, 5.9) |
| 37 | 1 | 0 | 0 | 1.2 | (0.3, 5.9) |
| 38 | 1 | 0 | 0 | 1.2 | (0.3, 5.9) |
| 39 | 1 | 0 | 0 | 1.2 | (0.3, 5.9) |
| 40 | 0 | 0 | 1 | 1.2 | (0.3, 5.9) |
| 41 | 0 | 0 | 0 | 1.2 | (0.3, 5.9) |
| 42 | 0 | 0 | 0 | 1.2 | (0.3, 5.9) |
| 43 | 0 | 0 | 0 | 1.2 | (0.3, 5.9) |
| 44 | 0 | 0 | 0 | 1.2 | (0.3, 5.9) |
| 45 | 0 | 0 | 0 | 1.2 | (0.3, 5.9) |
| 46 | 0 | 0 | 0 | 1.2 | (0.3, 5.9) |
| 47 | 0 | 0 | 0 | 1.2 | (0.3, 5.9) |
| 48 | 0 | 0 | 0 | 1.2 | (0.3, 5.9) |
By insurance
| Stratum | Month | N at risk | Events | Censored | Surv (%) | 95% CI (%) |
|---|---|---|---|---|---|---|
| Commercial | 0 | 378 | 0 | 0 | 100.0 | (100.0, 100.0) |
| Commercial | 1 | 269 | 96 | 13 | 74.6 | (70.3, 79.1) |
| Commercial | 2 | 228 | 36 | 5 | 64.5 | (59.8, 69.6) |
| Commercial | 3 | 175 | 47 | 6 | 51.0 | (46.1, 56.5) |
| Commercial | 4 | 139 | 30 | 6 | 42.2 | (37.3, 47.7) |
| Commercial | 5 | 106 | 27 | 6 | 33.9 | (29.2, 39.2) |
| Commercial | 6 | 79 | 20 | 7 | 27.3 | (22.9, 32.5) |
| Commercial | 7 | 66 | 10 | 3 | 23.8 | (19.5, 28.9) |
| Commercial | 8 | 52 | 8 | 6 | 20.7 | (16.7, 25.8) |
| Commercial | 9 | 47 | 3 | 2 | 19.5 | (15.5, 24.5) |
| Commercial | 10 | 40 | 5 | 2 | 17.4 | (13.5, 22.3) |
| Commercial | 11 | 29 | 8 | 3 | 13.8 | (10.3, 18.6) |
| Commercial | 12 | 20 | 6 | 3 | 10.9 | (7.6, 15.5) |
| Commercial | 13 | 18 | 2 | 0 | 9.8 | (6.7, 14.3) |
| Commercial | 14 | 17 | 1 | 0 | 9.2 | (6.2, 13.8) |
| Commercial | 15 | 16 | 1 | 0 | 8.7 | (5.7, 13.2) |
| Commercial | 16 | 14 | 0 | 2 | 8.7 | (5.7, 13.2) |
| Commercial | 17 | 10 | 2 | 2 | 7.2 | (4.5, 11.8) |
| Commercial | 18 | 10 | 0 | 0 | 7.2 | (4.5, 11.8) |
| Commercial | 19 | 9 | 1 | 0 | 6.5 | (3.8, 11.1) |
| Commercial | 20 | 8 | 1 | 0 | 5.8 | (3.3, 10.3) |
| Commercial | 21 | 6 | 2 | 0 | 4.3 | (2.2, 8.8) |
| Commercial | 22 | 5 | 0 | 1 | 4.3 | (2.2, 8.8) |
| Commercial | 23 | 4 | 1 | 0 | 3.5 | (1.5, 8.0) |
| Commercial | 24 | 3 | 0 | 1 | 3.5 | (1.5, 8.0) |
| Commercial | 25 | 2 | 0 | 1 | 3.5 | (1.5, 8.0) |
| Commercial | 26 | 2 | 0 | 0 | 3.5 | (1.5, 8.0) |
| Commercial | 27 | 2 | 0 | 0 | 3.5 | (1.5, 8.0) |
| Commercial | 28 | 2 | 0 | 0 | 3.5 | (1.5, 8.0) |
| Commercial | 29 | 2 | 0 | 0 | 3.5 | (1.5, 8.0) |
| Commercial | 30 | 2 | 0 | 0 | 3.5 | (1.5, 8.0) |
| Commercial | 31 | 1 | 0 | 1 | 3.5 | (1.5, 8.0) |
| Commercial | 32 | 1 | 0 | 0 | 3.5 | (1.5, 8.0) |
| Commercial | 33 | 1 | 0 | 0 | 3.5 | (1.5, 8.0) |
| Commercial | 34 | 0 | 1 | 0 | 0.0 | (NA, NA) |
| Commercial | 35 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Commercial | 36 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Commercial | 37 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Commercial | 38 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Commercial | 39 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Commercial | 40 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Commercial | 41 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Commercial | 42 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Commercial | 43 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Commercial | 44 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Commercial | 45 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Commercial | 46 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Commercial | 47 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Commercial | 48 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| Medicaid | 0 | 440 | 0 | 0 | 100.0 | (100.0, 100.0) |
| Medicaid | 1 | 306 | 119 | 15 | 73.0 | (68.9, 77.2) |
| Medicaid | 2 | 236 | 57 | 13 | 59.2 | (54.7, 64.1) |
| Medicaid | 3 | 169 | 47 | 20 | 46.9 | (42.3, 52.0) |
| Medicaid | 4 | 119 | 37 | 13 | 36.0 | (31.5, 41.2) |
| Medicaid | 5 | 99 | 15 | 5 | 31.4 | (27.0, 36.5) |
| Medicaid | 6 | 76 | 18 | 5 | 25.6 | (21.4, 30.6) |
| Medicaid | 7 | 61 | 11 | 4 | 21.8 | (17.8, 26.7) |
| Medicaid | 8 | 43 | 15 | 3 | 16.3 | (12.6, 20.9) |
| Medicaid | 9 | 36 | 6 | 1 | 14.0 | (10.6, 18.5) |
| Medicaid | 10 | 25 | 10 | 1 | 10.1 | (7.1, 14.2) |
| Medicaid | 11 | 22 | 3 | 0 | 8.9 | (6.1, 12.9) |
| Medicaid | 12 | 18 | 2 | 2 | 8.0 | (5.4, 12.0) |
| Medicaid | 13 | 14 | 2 | 2 | 7.1 | (4.6, 11.0) |
| Medicaid | 14 | 14 | 0 | 0 | 7.1 | (4.6, 11.0) |
| Medicaid | 15 | 11 | 3 | 0 | 5.6 | (3.3, 9.3) |
| Medicaid | 16 | 9 | 2 | 0 | 4.6 | (2.5, 8.2) |
| Medicaid | 17 | 4 | 2 | 3 | 3.3 | (1.5, 6.9) |
| Medicaid | 18 | 3 | 1 | 0 | 2.4 | (1.0, 6.2) |
| Medicaid | 19 | 3 | 0 | 0 | 2.4 | (1.0, 6.2) |
| Medicaid | 20 | 3 | 0 | 0 | 2.4 | (1.0, 6.2) |
| Medicaid | 21 | 2 | 1 | 0 | 1.6 | (0.5, 5.6) |
| Medicaid | 22 | 1 | 0 | 1 | 1.6 | (0.5, 5.6) |
| Medicaid | 23 | 1 | 0 | 0 | 1.6 | (0.5, 5.6) |
| Medicaid | 24 | 1 | 0 | 0 | 1.6 | (0.5, 5.6) |
| Medicaid | 25 | 1 | 0 | 0 | 1.6 | (0.5, 5.6) |
| Medicaid | 26 | 1 | 0 | 0 | 1.6 | (0.5, 5.6) |
| Medicaid | 27 | 1 | 0 | 0 | 1.6 | (0.5, 5.6) |
| Medicaid | 28 | 1 | 0 | 0 | 1.6 | (0.5, 5.6) |
| Medicaid | 29 | 1 | 0 | 0 | 1.6 | (0.5, 5.6) |
| Medicaid | 30 | 1 | 0 | 0 | 1.6 | (0.5, 5.6) |
| Medicaid | 31 | 1 | 0 | 0 | 1.6 | (0.5, 5.6) |
| Medicaid | 32 | 1 | 0 | 0 | 1.6 | (0.5, 5.6) |
| Medicaid | 33 | 1 | 0 | 0 | 1.6 | (0.5, 5.6) |
| Medicaid | 34 | 1 | 0 | 0 | 1.6 | (0.5, 5.6) |
| Medicaid | 35 | 1 | 0 | 0 | 1.6 | (0.5, 5.6) |
| Medicaid | 36 | 1 | 0 | 0 | 1.6 | (0.5, 5.6) |
| Medicaid | 37 | 1 | 0 | 0 | 1.6 | (0.5, 5.6) |
| Medicaid | 38 | 1 | 0 | 0 | 1.6 | (0.5, 5.6) |
| Medicaid | 39 | 1 | 0 | 0 | 1.6 | (0.5, 5.6) |
| Medicaid | 40 | 0 | 0 | 1 | 1.6 | (0.5, 5.6) |
| Medicaid | 41 | 0 | 0 | 0 | 1.6 | (0.5, 5.6) |
| Medicaid | 42 | 0 | 0 | 0 | 1.6 | (0.5, 5.6) |
| Medicaid | 43 | 0 | 0 | 0 | 1.6 | (0.5, 5.6) |
| Medicaid | 44 | 0 | 0 | 0 | 1.6 | (0.5, 5.6) |
| Medicaid | 45 | 0 | 0 | 0 | 1.6 | (0.5, 5.6) |
| Medicaid | 46 | 0 | 0 | 0 | 1.6 | (0.5, 5.6) |
| Medicaid | 47 | 0 | 0 | 0 | 1.6 | (0.5, 5.6) |
| Medicaid | 48 | 0 | 0 | 0 | 1.6 | (0.5, 5.6) |
By age category
| Stratum | Month | N at risk | Events | Censored | Surv (%) | 95% CI (%) |
|---|---|---|---|---|---|---|
| 18-34 | 0 | 259 | 0 | 0 | 100.0 | (100.0, 100.0) |
| 18-34 | 1 | 177 | 71 | 11 | 72.6 | (67.4, 78.2) |
| 18-34 | 2 | 131 | 40 | 6 | 55.9 | (50.1, 62.4) |
| 18-34 | 3 | 91 | 31 | 9 | 42.4 | (36.6, 49.1) |
| 18-34 | 4 | 63 | 22 | 6 | 31.8 | (26.2, 38.4) |
| 18-34 | 5 | 49 | 11 | 3 | 26.2 | (20.9, 32.7) |
| 18-34 | 6 | 31 | 15 | 3 | 17.8 | (13.2, 23.9) |
| 18-34 | 7 | 23 | 7 | 1 | 13.7 | (9.6, 19.6) |
| 18-34 | 8 | 19 | 3 | 1 | 11.9 | (8.0, 17.6) |
| 18-34 | 9 | 18 | 0 | 1 | 11.9 | (8.0, 17.6) |
| 18-34 | 10 | 14 | 3 | 1 | 9.9 | (6.3, 15.4) |
| 18-34 | 11 | 11 | 3 | 0 | 7.7 | (4.6, 13.0) |
| 18-34 | 12 | 10 | 1 | 0 | 7.0 | (4.0, 12.3) |
| 18-34 | 13 | 9 | 1 | 0 | 6.3 | (3.5, 11.4) |
| 18-34 | 14 | 9 | 0 | 0 | 6.3 | (3.5, 11.4) |
| 18-34 | 15 | 8 | 1 | 0 | 5.6 | (3.0, 10.6) |
| 18-34 | 16 | 7 | 1 | 0 | 4.9 | (2.5, 9.8) |
| 18-34 | 17 | 5 | 1 | 1 | 4.2 | (2.0, 8.9) |
| 18-34 | 18 | 5 | 0 | 0 | 4.2 | (2.0, 8.9) |
| 18-34 | 19 | 5 | 0 | 0 | 4.2 | (2.0, 8.9) |
| 18-34 | 20 | 5 | 0 | 0 | 4.2 | (2.0, 8.9) |
| 18-34 | 21 | 4 | 1 | 0 | 3.4 | (1.4, 8.1) |
| 18-34 | 22 | 3 | 0 | 1 | 3.4 | (1.4, 8.1) |
| 18-34 | 23 | 2 | 1 | 0 | 2.3 | (0.7, 7.3) |
| 18-34 | 24 | 1 | 0 | 1 | 2.3 | (0.7, 7.3) |
| 18-34 | 25 | 1 | 0 | 0 | 2.3 | (0.7, 7.3) |
| 18-34 | 26 | 1 | 0 | 0 | 2.3 | (0.7, 7.3) |
| 18-34 | 27 | 1 | 0 | 0 | 2.3 | (0.7, 7.3) |
| 18-34 | 28 | 1 | 0 | 0 | 2.3 | (0.7, 7.3) |
| 18-34 | 29 | 1 | 0 | 0 | 2.3 | (0.7, 7.3) |
| 18-34 | 30 | 1 | 0 | 0 | 2.3 | (0.7, 7.3) |
| 18-34 | 31 | 0 | 0 | 1 | 2.3 | (0.7, 7.3) |
| 18-34 | 32 | 0 | 0 | 0 | 2.3 | (0.7, 7.3) |
| 18-34 | 33 | 0 | 0 | 0 | 2.3 | (0.7, 7.3) |
| 18-34 | 34 | 0 | 0 | 0 | 2.3 | (0.7, 7.3) |
| 18-34 | 35 | 0 | 0 | 0 | 2.3 | (0.7, 7.3) |
| 18-34 | 36 | 0 | 0 | 0 | 2.3 | (0.7, 7.3) |
| 18-34 | 37 | 0 | 0 | 0 | 2.3 | (0.7, 7.3) |
| 18-34 | 38 | 0 | 0 | 0 | 2.3 | (0.7, 7.3) |
| 18-34 | 39 | 0 | 0 | 0 | 2.3 | (0.7, 7.3) |
| 18-34 | 40 | 0 | 0 | 0 | 2.3 | (0.7, 7.3) |
| 18-34 | 41 | 0 | 0 | 0 | 2.3 | (0.7, 7.3) |
| 18-34 | 42 | 0 | 0 | 0 | 2.3 | (0.7, 7.3) |
| 18-34 | 43 | 0 | 0 | 0 | 2.3 | (0.7, 7.3) |
| 18-34 | 44 | 0 | 0 | 0 | 2.3 | (0.7, 7.3) |
| 18-34 | 45 | 0 | 0 | 0 | 2.3 | (0.7, 7.3) |
| 18-34 | 46 | 0 | 0 | 0 | 2.3 | (0.7, 7.3) |
| 18-34 | 47 | 0 | 0 | 0 | 2.3 | (0.7, 7.3) |
| 18-34 | 48 | 0 | 0 | 0 | 2.3 | (0.7, 7.3) |
| 35-54 | 0 | 142 | 0 | 0 | 100.0 | (100.0, 100.0) |
| 35-54 | 1 | 95 | 45 | 2 | 68.3 | (61.1, 76.4) |
| 35-54 | 2 | 82 | 12 | 1 | 59.7 | (52.1, 68.4) |
| 35-54 | 3 | 67 | 14 | 1 | 49.5 | (41.8, 58.5) |
| 35-54 | 4 | 56 | 9 | 2 | 42.7 | (35.2, 51.8) |
| 35-54 | 5 | 40 | 13 | 3 | 32.5 | (25.4, 41.5) |
| 35-54 | 6 | 32 | 6 | 2 | 27.4 | (20.8, 36.3) |
| 35-54 | 7 | 26 | 4 | 2 | 24.0 | (17.6, 32.7) |
| 35-54 | 8 | 22 | 1 | 3 | 23.1 | (16.8, 31.7) |
| 35-54 | 9 | 20 | 2 | 0 | 21.0 | (14.8, 29.6) |
| 35-54 | 10 | 18 | 1 | 1 | 19.9 | (13.8, 28.5) |
| 35-54 | 11 | 14 | 3 | 1 | 16.5 | (10.8, 25.0) |
| 35-54 | 12 | 10 | 4 | 0 | 11.8 | (6.9, 20.1) |
| 35-54 | 13 | 9 | 1 | 0 | 10.6 | (6.0, 18.8) |
| 35-54 | 14 | 9 | 0 | 0 | 10.6 | (6.0, 18.8) |
| 35-54 | 15 | 9 | 0 | 0 | 10.6 | (6.0, 18.8) |
| 35-54 | 16 | 8 | 0 | 1 | 10.6 | (6.0, 18.8) |
| 35-54 | 17 | 4 | 2 | 2 | 7.1 | (3.2, 15.8) |
| 35-54 | 18 | 4 | 0 | 0 | 7.1 | (3.2, 15.8) |
| 35-54 | 19 | 3 | 1 | 0 | 5.3 | (2.0, 14.2) |
| 35-54 | 20 | 2 | 1 | 0 | 3.5 | (1.0, 12.5) |
| 35-54 | 21 | 2 | 0 | 0 | 3.5 | (1.0, 12.5) |
| 35-54 | 22 | 2 | 0 | 0 | 3.5 | (1.0, 12.5) |
| 35-54 | 23 | 2 | 0 | 0 | 3.5 | (1.0, 12.5) |
| 35-54 | 24 | 2 | 0 | 0 | 3.5 | (1.0, 12.5) |
| 35-54 | 25 | 1 | 0 | 1 | 3.5 | (1.0, 12.5) |
| 35-54 | 26 | 1 | 0 | 0 | 3.5 | (1.0, 12.5) |
| 35-54 | 27 | 1 | 0 | 0 | 3.5 | (1.0, 12.5) |
| 35-54 | 28 | 1 | 0 | 0 | 3.5 | (1.0, 12.5) |
| 35-54 | 29 | 1 | 0 | 0 | 3.5 | (1.0, 12.5) |
| 35-54 | 30 | 1 | 0 | 0 | 3.5 | (1.0, 12.5) |
| 35-54 | 31 | 1 | 0 | 0 | 3.5 | (1.0, 12.5) |
| 35-54 | 32 | 1 | 0 | 0 | 3.5 | (1.0, 12.5) |
| 35-54 | 33 | 1 | 0 | 0 | 3.5 | (1.0, 12.5) |
| 35-54 | 34 | 0 | 1 | 0 | 0.0 | (NA, NA) |
| 35-54 | 35 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 35-54 | 36 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 35-54 | 37 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 35-54 | 38 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 35-54 | 39 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 35-54 | 40 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 35-54 | 41 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 35-54 | 42 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 35-54 | 43 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 35-54 | 44 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 35-54 | 45 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 35-54 | 46 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 35-54 | 47 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 35-54 | 48 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 0 | 27 | 0 | 0 | 100.0 | (100.0, 100.0) |
| 55+ | 1 | 18 | 7 | 2 | 74.1 | (59.3, 92.6) |
| 55+ | 2 | 16 | 2 | 0 | 65.8 | (49.9, 86.8) |
| 55+ | 3 | 13 | 3 | 0 | 53.5 | (37.2, 76.9) |
| 55+ | 4 | 10 | 3 | 0 | 41.2 | (25.7, 65.8) |
| 55+ | 5 | 10 | 0 | 0 | 41.2 | (25.7, 65.8) |
| 55+ | 6 | 8 | 2 | 0 | 32.9 | (18.8, 57.8) |
| 55+ | 7 | 7 | 1 | 0 | 28.8 | (15.5, 53.6) |
| 55+ | 8 | 6 | 1 | 0 | 24.7 | (12.4, 49.2) |
| 55+ | 9 | 6 | 0 | 0 | 24.7 | (12.4, 49.2) |
| 55+ | 10 | 5 | 1 | 0 | 20.6 | (9.5, 44.8) |
| 55+ | 11 | 4 | 0 | 1 | 20.6 | (9.5, 44.8) |
| 55+ | 12 | 2 | 0 | 2 | 20.6 | (9.5, 44.8) |
| 55+ | 13 | 1 | 0 | 1 | 20.6 | (9.5, 44.8) |
| 55+ | 14 | 1 | 0 | 0 | 20.6 | (9.5, 44.8) |
| 55+ | 15 | 1 | 0 | 0 | 20.6 | (9.5, 44.8) |
| 55+ | 16 | 1 | 0 | 0 | 20.6 | (9.5, 44.8) |
| 55+ | 17 | 1 | 0 | 0 | 20.6 | (9.5, 44.8) |
| 55+ | 18 | 1 | 0 | 0 | 20.6 | (9.5, 44.8) |
| 55+ | 19 | 1 | 0 | 0 | 20.6 | (9.5, 44.8) |
| 55+ | 20 | 1 | 0 | 0 | 20.6 | (9.5, 44.8) |
| 55+ | 21 | 0 | 1 | 0 | 0.0 | (NA, NA) |
| 55+ | 22 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 23 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 24 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 25 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 26 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 27 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 28 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 29 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 30 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 31 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 32 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 33 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 34 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 35 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 36 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 37 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 38 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 39 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 40 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 41 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 42 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 43 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 44 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 45 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 46 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 47 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| 55+ | 48 | 0 | 0 | 0 | 0.0 | (NA, NA) |
| <18 | 0 | 390 | 0 | 0 | 100.0 | (100.0, 100.0) |
| <18 | 1 | 285 | 92 | 13 | 76.4 | (72.3, 80.7) |
| <18 | 2 | 235 | 39 | 11 | 65.8 | (61.2, 70.8) |
| <18 | 3 | 173 | 46 | 16 | 52.4 | (47.5, 57.8) |
| <18 | 4 | 129 | 33 | 11 | 42.0 | (37.1, 47.5) |
| <18 | 5 | 106 | 18 | 5 | 36.0 | (31.3, 41.6) |
| <18 | 6 | 84 | 15 | 7 | 30.9 | (26.2, 36.3) |
| <18 | 7 | 71 | 9 | 4 | 27.5 | (23.0, 32.9) |
| <18 | 8 | 48 | 18 | 5 | 20.1 | (16.0, 25.4) |
| <18 | 9 | 39 | 7 | 2 | 17.2 | (13.3, 22.3) |
| <18 | 10 | 28 | 10 | 1 | 12.7 | (9.3, 17.5) |
| <18 | 11 | 22 | 5 | 1 | 10.5 | (7.3, 15.0) |
| <18 | 12 | 16 | 3 | 3 | 9.0 | (6.1, 13.5) |
| <18 | 13 | 13 | 2 | 1 | 7.8 | (5.0, 12.2) |
| <18 | 14 | 12 | 1 | 0 | 7.2 | (4.5, 11.6) |
| <18 | 15 | 9 | 3 | 0 | 5.4 | (3.1, 9.6) |
| <18 | 16 | 7 | 1 | 1 | 4.8 | (2.6, 9.0) |
| <18 | 17 | 4 | 1 | 2 | 3.9 | (1.8, 8.2) |
| <18 | 18 | 3 | 1 | 0 | 2.9 | (1.1, 7.5) |
| <18 | 19 | 3 | 0 | 0 | 2.9 | (1.1, 7.5) |
| <18 | 20 | 3 | 0 | 0 | 2.9 | (1.1, 7.5) |
| <18 | 21 | 2 | 1 | 0 | 1.9 | (0.6, 6.7) |
| <18 | 22 | 1 | 0 | 1 | 1.9 | (0.6, 6.7) |
| <18 | 23 | 1 | 0 | 0 | 1.9 | (0.6, 6.7) |
| <18 | 24 | 1 | 0 | 0 | 1.9 | (0.6, 6.7) |
| <18 | 25 | 1 | 0 | 0 | 1.9 | (0.6, 6.7) |
| <18 | 26 | 1 | 0 | 0 | 1.9 | (0.6, 6.7) |
| <18 | 27 | 1 | 0 | 0 | 1.9 | (0.6, 6.7) |
| <18 | 28 | 1 | 0 | 0 | 1.9 | (0.6, 6.7) |
| <18 | 29 | 1 | 0 | 0 | 1.9 | (0.6, 6.7) |
| <18 | 30 | 1 | 0 | 0 | 1.9 | (0.6, 6.7) |
| <18 | 31 | 1 | 0 | 0 | 1.9 | (0.6, 6.7) |
| <18 | 32 | 1 | 0 | 0 | 1.9 | (0.6, 6.7) |
| <18 | 33 | 1 | 0 | 0 | 1.9 | (0.6, 6.7) |
| <18 | 34 | 1 | 0 | 0 | 1.9 | (0.6, 6.7) |
| <18 | 35 | 1 | 0 | 0 | 1.9 | (0.6, 6.7) |
| <18 | 36 | 1 | 0 | 0 | 1.9 | (0.6, 6.7) |
| <18 | 37 | 1 | 0 | 0 | 1.9 | (0.6, 6.7) |
| <18 | 38 | 1 | 0 | 0 | 1.9 | (0.6, 6.7) |
| <18 | 39 | 1 | 0 | 0 | 1.9 | (0.6, 6.7) |
| <18 | 40 | 0 | 0 | 1 | 1.9 | (0.6, 6.7) |
| <18 | 41 | 0 | 0 | 0 | 1.9 | (0.6, 6.7) |
| <18 | 42 | 0 | 0 | 0 | 1.9 | (0.6, 6.7) |
| <18 | 43 | 0 | 0 | 0 | 1.9 | (0.6, 6.7) |
| <18 | 44 | 0 | 0 | 0 | 1.9 | (0.6, 6.7) |
| <18 | 45 | 0 | 0 | 0 | 1.9 | (0.6, 6.7) |
| <18 | 46 | 0 | 0 | 0 | 1.9 | (0.6, 6.7) |
| <18 | 47 | 0 | 0 | 0 | 1.9 | (0.6, 6.7) |
| <18 | 48 | 0 | 0 | 0 | 1.9 | (0.6, 6.7) |
By sex
| Stratum | Month | N at risk | Events | Censored | Surv (%) | 95% CI (%) |
|---|---|---|---|---|---|---|
| Female | 0 | 457 | 0 | 0 | 100.0 | (100.0, 100.0) |
| Female | 1 | 302 | 137 | 18 | 70.0 | (65.9, 74.4) |
| Female | 2 | 243 | 50 | 9 | 58.3 | (53.9, 63.1) |
| Female | 3 | 179 | 56 | 8 | 44.7 | (40.2, 49.6) |
| Female | 4 | 136 | 33 | 10 | 36.2 | (31.9, 41.1) |
| Female | 5 | 108 | 22 | 6 | 30.3 | (26.1, 35.1) |
| Female | 6 | 79 | 23 | 6 | 23.7 | (19.8, 28.3) |
| Female | 7 | 66 | 10 | 3 | 20.7 | (16.9, 25.2) |
| Female | 8 | 51 | 10 | 5 | 17.4 | (13.9, 21.8) |
| Female | 9 | 45 | 6 | 0 | 15.4 | (12.0, 19.7) |
| Female | 10 | 37 | 7 | 1 | 13.0 | (9.8, 17.1) |
| Female | 11 | 28 | 7 | 2 | 10.5 | (7.6, 14.4) |
| Female | 12 | 19 | 5 | 4 | 8.6 | (6.0, 12.4) |
| Female | 13 | 17 | 1 | 1 | 8.2 | (5.6, 11.9) |
| Female | 14 | 17 | 0 | 0 | 8.2 | (5.6, 11.9) |
| Female | 15 | 16 | 1 | 0 | 7.7 | (5.2, 11.4) |
| Female | 16 | 14 | 1 | 1 | 7.2 | (4.7, 10.9) |
| Female | 17 | 10 | 2 | 2 | 6.0 | (3.7, 9.8) |
| Female | 18 | 9 | 1 | 0 | 5.4 | (3.2, 9.2) |
| Female | 19 | 8 | 1 | 0 | 4.8 | (2.7, 8.5) |
| Female | 20 | 8 | 0 | 0 | 4.8 | (2.7, 8.5) |
| Female | 21 | 7 | 1 | 0 | 4.2 | (2.2, 7.9) |
| Female | 22 | 6 | 0 | 1 | 4.2 | (2.2, 7.9) |
| Female | 23 | 5 | 1 | 0 | 3.5 | (1.7, 7.2) |
| Female | 24 | 4 | 0 | 1 | 3.5 | (1.7, 7.2) |
| Female | 25 | 3 | 0 | 1 | 3.5 | (1.7, 7.2) |
| Female | 26 | 3 | 0 | 0 | 3.5 | (1.7, 7.2) |
| Female | 27 | 3 | 0 | 0 | 3.5 | (1.7, 7.2) |
| Female | 28 | 3 | 0 | 0 | 3.5 | (1.7, 7.2) |
| Female | 29 | 3 | 0 | 0 | 3.5 | (1.7, 7.2) |
| Female | 30 | 3 | 0 | 0 | 3.5 | (1.7, 7.2) |
| Female | 31 | 2 | 0 | 1 | 3.5 | (1.7, 7.2) |
| Female | 32 | 2 | 0 | 0 | 3.5 | (1.7, 7.2) |
| Female | 33 | 2 | 0 | 0 | 3.5 | (1.7, 7.2) |
| Female | 34 | 1 | 1 | 0 | 1.7 | (0.4, 8.4) |
| Female | 35 | 1 | 0 | 0 | 1.7 | (0.4, 8.4) |
| Female | 36 | 1 | 0 | 0 | 1.7 | (0.4, 8.4) |
| Female | 37 | 1 | 0 | 0 | 1.7 | (0.4, 8.4) |
| Female | 38 | 1 | 0 | 0 | 1.7 | (0.4, 8.4) |
| Female | 39 | 1 | 0 | 0 | 1.7 | (0.4, 8.4) |
| Female | 40 | 0 | 0 | 1 | 1.7 | (0.4, 8.4) |
| Female | 41 | 0 | 0 | 0 | 1.7 | (0.4, 8.4) |
| Female | 42 | 0 | 0 | 0 | 1.7 | (0.4, 8.4) |
| Female | 43 | 0 | 0 | 0 | 1.7 | (0.4, 8.4) |
| Female | 44 | 0 | 0 | 0 | 1.7 | (0.4, 8.4) |
| Female | 45 | 0 | 0 | 0 | 1.7 | (0.4, 8.4) |
| Female | 46 | 0 | 0 | 0 | 1.7 | (0.4, 8.4) |
| Female | 47 | 0 | 0 | 0 | 1.7 | (0.4, 8.4) |
| Female | 48 | 0 | 0 | 0 | 1.7 | (0.4, 8.4) |
| Male | 0 | 361 | 0 | 0 | 100.0 | (100.0, 100.0) |
| Male | 1 | 273 | 78 | 10 | 78.4 | (74.3, 82.8) |
| Male | 2 | 221 | 43 | 9 | 65.9 | (61.1, 71.0) |
| Male | 3 | 165 | 38 | 18 | 54.1 | (49.1, 59.7) |
| Male | 4 | 122 | 34 | 9 | 42.5 | (37.4, 48.3) |
| Male | 5 | 97 | 20 | 5 | 35.4 | (30.5, 41.2) |
| Male | 6 | 76 | 15 | 6 | 29.7 | (25.0, 35.4) |
| Male | 7 | 61 | 11 | 4 | 25.4 | (20.8, 30.9) |
| Male | 8 | 44 | 13 | 4 | 19.7 | (15.4, 25.0) |
| Male | 9 | 38 | 3 | 3 | 18.3 | (14.1, 23.6) |
| Male | 10 | 28 | 8 | 2 | 14.3 | (10.5, 19.5) |
| Male | 11 | 23 | 4 | 1 | 12.2 | (8.7, 17.2) |
| Male | 12 | 19 | 3 | 1 | 10.6 | (7.2, 15.5) |
| Male | 13 | 15 | 3 | 1 | 8.8 | (5.7, 13.6) |
| Male | 14 | 14 | 1 | 0 | 8.2 | (5.2, 12.9) |
| Male | 15 | 11 | 3 | 0 | 6.4 | (3.8, 11.0) |
| Male | 16 | 9 | 1 | 1 | 5.9 | (3.3, 10.3) |
| Male | 17 | 4 | 2 | 3 | 4.2 | (2.0, 8.7) |
| Male | 18 | 4 | 0 | 0 | 4.2 | (2.0, 8.7) |
| Male | 19 | 4 | 0 | 0 | 4.2 | (2.0, 8.7) |
| Male | 20 | 3 | 1 | 0 | 3.1 | (1.2, 7.9) |
| Male | 21 | 1 | 2 | 0 | 1.0 | (0.2, 6.6) |
| Male | 22 | 0 | 0 | 1 | 1.0 | (0.2, 6.6) |
| Male | 23 | 0 | 0 | 0 | 1.0 | (0.2, 6.6) |
| Male | 24 | 0 | 0 | 0 | 1.0 | (0.2, 6.6) |
| Male | 25 | 0 | 0 | 0 | 1.0 | (0.2, 6.6) |
| Male | 26 | 0 | 0 | 0 | 1.0 | (0.2, 6.6) |
| Male | 27 | 0 | 0 | 0 | 1.0 | (0.2, 6.6) |
| Male | 28 | 0 | 0 | 0 | 1.0 | (0.2, 6.6) |
| Male | 29 | 0 | 0 | 0 | 1.0 | (0.2, 6.6) |
| Male | 30 | 0 | 0 | 0 | 1.0 | (0.2, 6.6) |
| Male | 31 | 0 | 0 | 0 | 1.0 | (0.2, 6.6) |
| Male | 32 | 0 | 0 | 0 | 1.0 | (0.2, 6.6) |
| Male | 33 | 0 | 0 | 0 | 1.0 | (0.2, 6.6) |
| Male | 34 | 0 | 0 | 0 | 1.0 | (0.2, 6.6) |
| Male | 35 | 0 | 0 | 0 | 1.0 | (0.2, 6.6) |
| Male | 36 | 0 | 0 | 0 | 1.0 | (0.2, 6.6) |
| Male | 37 | 0 | 0 | 0 | 1.0 | (0.2, 6.6) |
| Male | 38 | 0 | 0 | 0 | 1.0 | (0.2, 6.6) |
| Male | 39 | 0 | 0 | 0 | 1.0 | (0.2, 6.6) |
| Male | 40 | 0 | 0 | 0 | 1.0 | (0.2, 6.6) |
| Male | 41 | 0 | 0 | 0 | 1.0 | (0.2, 6.6) |
| Male | 42 | 0 | 0 | 0 | 1.0 | (0.2, 6.6) |
| Male | 43 | 0 | 0 | 0 | 1.0 | (0.2, 6.6) |
| Male | 44 | 0 | 0 | 0 | 1.0 | (0.2, 6.6) |
| Male | 45 | 0 | 0 | 0 | 1.0 | (0.2, 6.6) |
| Male | 46 | 0 | 0 | 0 | 1.0 | (0.2, 6.6) |
| Male | 47 | 0 | 0 | 0 | 1.0 | (0.2, 6.6) |
| Male | 48 | 0 | 0 | 0 | 1.0 | (0.2, 6.6) |
Overall
| Month | N at risk | Events | Censored | Surv (%) | 95% CI (%) |
|---|---|---|---|---|---|
| 0 | 12657 | 5 | 0 | 100.0 | (99.9, 100.0) |
| 1 | 9100 | 3374 | 178 | 73.3 | (72.5, 74.0) |
| 2 | 7754 | 1219 | 127 | 63.4 | (62.5, 64.2) |
| 3 | 5543 | 1942 | 269 | 47.3 | (46.4, 48.2) |
| 4 | 4316 | 1085 | 142 | 37.9 | (37.1, 38.8) |
| 5 | 3560 | 651 | 105 | 32.1 | (31.3, 33.0) |
| 6 | 2870 | 571 | 119 | 26.9 | (26.1, 27.7) |
| 7 | 2380 | 409 | 81 | 23.0 | (22.2, 23.8) |
| 8 | 2023 | 290 | 67 | 20.2 | (19.4, 20.9) |
| 9 | 1683 | 277 | 63 | 17.4 | (16.7, 18.1) |
| 10 | 1429 | 217 | 37 | 15.1 | (14.4, 15.8) |
| 11 | 1236 | 151 | 42 | 13.5 | (12.8, 14.1) |
| 12 | 1040 | 154 | 42 | 11.8 | (11.2, 12.4) |
| 13 | 890 | 112 | 38 | 10.5 | (9.9, 11.1) |
| 14 | 784 | 83 | 23 | 9.5 | (8.9, 10.1) |
| 15 | 689 | 79 | 16 | 8.5 | (8.0, 9.1) |
| 16 | 610 | 70 | 11 | 7.7 | (7.1, 8.2) |
| 17 | 535 | 58 | 15 | 6.9 | (6.4, 7.5) |
| 18 | 467 | 53 | 15 | 6.2 | (5.7, 6.7) |
| 19 | 421 | 35 | 11 | 5.7 | (5.3, 6.3) |
| 20 | 383 | 31 | 7 | 5.3 | (4.9, 5.8) |
| 21 | 340 | 37 | 6 | 4.8 | (4.4, 5.3) |
| 22 | 305 | 31 | 4 | 4.4 | (3.9, 4.8) |
| 23 | 263 | 38 | 4 | 3.8 | (3.4, 4.3) |
| 24 | 229 | 27 | 7 | 3.4 | (3.0, 3.8) |
| 25 | 210 | 13 | 6 | 3.2 | (2.9, 3.6) |
| 26 | 192 | 13 | 5 | 3.0 | (2.7, 3.4) |
| 27 | 172 | 17 | 3 | 2.7 | (2.4, 3.1) |
| 28 | 160 | 10 | 2 | 2.6 | (2.3, 3.0) |
| 29 | 138 | 16 | 6 | 2.3 | (2.0, 2.7) |
| 30 | 122 | 7 | 9 | 2.2 | (1.9, 2.6) |
| 31 | 112 | 9 | 1 | 2.0 | (1.7, 2.4) |
| 32 | 98 | 13 | 1 | 1.8 | (1.5, 2.1) |
| 33 | 85 | 13 | 0 | 1.6 | (1.3, 1.9) |
| 34 | 78 | 4 | 3 | 1.5 | (1.2, 1.8) |
| 35 | 73 | 5 | 0 | 1.4 | (1.1, 1.7) |
| 36 | 73 | 0 | 0 | 1.4 | (1.1, 1.7) |
| 37 | 70 | 3 | 0 | 1.3 | (1.1, 1.6) |
| 38 | 69 | 0 | 1 | 1.3 | (1.1, 1.6) |
| 39 | 60 | 7 | 2 | 1.2 | (1.0, 1.5) |
| 40 | 55 | 3 | 2 | 1.1 | (0.9, 1.4) |
| 41 | 50 | 5 | 0 | 1.0 | (0.8, 1.3) |
| 42 | 48 | 2 | 0 | 1.0 | (0.8, 1.3) |
| 43 | 43 | 4 | 1 | 0.9 | (0.7, 1.2) |
| 44 | 41 | 2 | 0 | 0.9 | (0.7, 1.1) |
| 45 | 39 | 1 | 1 | 0.8 | (0.6, 1.1) |
| 46 | 36 | 2 | 1 | 0.8 | (0.6, 1.1) |
| 47 | 33 | 2 | 1 | 0.8 | (0.6, 1.0) |
| 48 | 30 | 2 | 1 | 0.7 | (0.5, 1.0) |
By insurance
| Stratum | Month | N at risk | Events | Censored | Surv (%) | 95% CI (%) |
|---|---|---|---|---|---|---|
| Commercial | 0 | 6157 | 0 | 0 | 100.0 | (100.0, 100.0) |
| Commercial | 1 | 4471 | 1579 | 107 | 74.3 | (73.2, 75.4) |
| Commercial | 2 | 3915 | 488 | 68 | 66.1 | (65.0, 67.3) |
| Commercial | 3 | 2861 | 885 | 169 | 50.9 | (49.7, 52.2) |
| Commercial | 4 | 2301 | 476 | 84 | 42.3 | (41.1, 43.6) |
| Commercial | 5 | 1915 | 307 | 79 | 36.6 | (35.4, 37.9) |
| Commercial | 6 | 1502 | 317 | 96 | 30.4 | (29.2, 31.6) |
| Commercial | 7 | 1262 | 182 | 58 | 26.6 | (25.5, 27.8) |
| Commercial | 8 | 1078 | 136 | 48 | 23.7 | (22.6, 24.9) |
| Commercial | 9 | 885 | 143 | 50 | 20.5 | (19.4, 21.6) |
| Commercial | 10 | 746 | 113 | 26 | 17.8 | (16.8, 18.9) |
| Commercial | 11 | 635 | 79 | 32 | 15.9 | (14.9, 17.0) |
| Commercial | 12 | 529 | 78 | 28 | 13.9 | (13.0, 14.9) |
| Commercial | 13 | 450 | 54 | 25 | 12.5 | (11.5, 13.5) |
| Commercial | 14 | 396 | 43 | 11 | 11.3 | (10.4, 12.2) |
| Commercial | 15 | 346 | 40 | 10 | 10.1 | (9.2, 11.0) |
| Commercial | 16 | 305 | 32 | 9 | 9.2 | (8.3, 10.1) |
| Commercial | 17 | 271 | 24 | 10 | 8.4 | (7.6, 9.3) |
| Commercial | 18 | 233 | 29 | 9 | 7.5 | (6.7, 8.4) |
| Commercial | 19 | 205 | 18 | 10 | 6.9 | (6.2, 7.8) |
| Commercial | 20 | 188 | 12 | 5 | 6.5 | (5.8, 7.3) |
| Commercial | 21 | 165 | 18 | 5 | 5.9 | (5.2, 6.7) |
| Commercial | 22 | 148 | 14 | 3 | 5.4 | (4.7, 6.2) |
| Commercial | 23 | 130 | 16 | 2 | 4.8 | (4.1, 5.6) |
| Commercial | 24 | 113 | 12 | 5 | 4.3 | (3.7, 5.1) |
| Commercial | 25 | 101 | 7 | 5 | 4.1 | (3.4, 4.8) |
| Commercial | 26 | 91 | 6 | 4 | 3.8 | (3.2, 4.5) |
| Commercial | 27 | 83 | 7 | 1 | 3.5 | (2.9, 4.2) |
| Commercial | 28 | 74 | 7 | 2 | 3.2 | (2.6, 3.9) |
| Commercial | 29 | 64 | 4 | 6 | 3.0 | (2.5, 3.7) |
| Commercial | 30 | 55 | 3 | 6 | 2.9 | (2.3, 3.6) |
| Commercial | 31 | 50 | 4 | 1 | 2.7 | (2.1, 3.3) |
| Commercial | 32 | 42 | 8 | 0 | 2.2 | (1.7, 2.9) |
| Commercial | 33 | 36 | 6 | 0 | 1.9 | (1.4, 2.6) |
| Commercial | 34 | 33 | 1 | 2 | 1.9 | (1.4, 2.5) |
| Commercial | 35 | 31 | 2 | 0 | 1.8 | (1.3, 2.4) |
| Commercial | 36 | 31 | 0 | 0 | 1.8 | (1.3, 2.4) |
| Commercial | 37 | 28 | 3 | 0 | 1.6 | (1.1, 2.2) |
| Commercial | 38 | 28 | 0 | 0 | 1.6 | (1.1, 2.2) |
| Commercial | 39 | 24 | 2 | 2 | 1.5 | (1.0, 2.1) |
| Commercial | 40 | 22 | 1 | 1 | 1.4 | (1.0, 2.0) |
| Commercial | 41 | 22 | 0 | 0 | 1.4 | (1.0, 2.0) |
| Commercial | 42 | 21 | 1 | 0 | 1.3 | (0.9, 1.9) |
| Commercial | 43 | 18 | 2 | 1 | 1.2 | (0.8, 1.8) |
| Commercial | 44 | 17 | 1 | 0 | 1.1 | (0.8, 1.7) |
| Commercial | 45 | 15 | 1 | 1 | 1.1 | (0.7, 1.6) |
| Commercial | 46 | 15 | 0 | 0 | 1.1 | (0.7, 1.6) |
| Commercial | 47 | 14 | 0 | 1 | 1.1 | (0.7, 1.6) |
| Commercial | 48 | 12 | 1 | 1 | 1.0 | (0.6, 1.6) |
| Medicaid | 0 | 6500 | 5 | 0 | 99.9 | (99.9, 100.0) |
| Medicaid | 1 | 4629 | 1795 | 71 | 72.3 | (71.2, 73.4) |
| Medicaid | 2 | 3839 | 731 | 59 | 60.8 | (59.6, 62.0) |
| Medicaid | 3 | 2682 | 1057 | 100 | 43.9 | (42.7, 45.1) |
| Medicaid | 4 | 2015 | 609 | 58 | 33.8 | (32.6, 35.0) |
| Medicaid | 5 | 1645 | 344 | 26 | 28.0 | (26.9, 29.1) |
| Medicaid | 6 | 1368 | 254 | 23 | 23.6 | (22.6, 24.7) |
| Medicaid | 7 | 1118 | 227 | 23 | 19.7 | (18.7, 20.7) |
| Medicaid | 8 | 945 | 154 | 19 | 17.0 | (16.0, 17.9) |
| Medicaid | 9 | 798 | 134 | 13 | 14.5 | (13.7, 15.5) |
| Medicaid | 10 | 683 | 104 | 11 | 12.6 | (11.8, 13.5) |
| Medicaid | 11 | 601 | 72 | 10 | 11.3 | (10.5, 12.1) |
| Medicaid | 12 | 511 | 76 | 14 | 9.8 | (9.1, 10.7) |
| Medicaid | 13 | 440 | 58 | 13 | 8.7 | (8.0, 9.5) |
| Medicaid | 14 | 388 | 40 | 12 | 7.9 | (7.2, 8.7) |
| Medicaid | 15 | 343 | 39 | 6 | 7.1 | (6.5, 7.8) |
| Medicaid | 16 | 305 | 38 | 2 | 6.3 | (5.7, 7.0) |
| Medicaid | 17 | 264 | 34 | 5 | 5.6 | (5.0, 6.3) |
| Medicaid | 18 | 234 | 24 | 6 | 5.1 | (4.5, 5.7) |
| Medicaid | 19 | 216 | 17 | 1 | 4.7 | (4.2, 5.3) |
| Medicaid | 20 | 195 | 19 | 2 | 4.3 | (3.8, 4.9) |
| Medicaid | 21 | 175 | 19 | 1 | 3.9 | (3.4, 4.4) |
| Medicaid | 22 | 157 | 17 | 1 | 3.5 | (3.0, 4.0) |
| Medicaid | 23 | 133 | 22 | 2 | 3.0 | (2.6, 3.5) |
| Medicaid | 24 | 116 | 15 | 2 | 2.7 | (2.2, 3.2) |
| Medicaid | 25 | 109 | 6 | 1 | 2.5 | (2.1, 3.0) |
| Medicaid | 26 | 101 | 7 | 1 | 2.4 | (2.0, 2.8) |
| Medicaid | 27 | 89 | 10 | 2 | 2.1 | (1.7, 2.6) |
| Medicaid | 28 | 86 | 3 | 0 | 2.1 | (1.7, 2.5) |
| Medicaid | 29 | 74 | 12 | 0 | 1.8 | (1.4, 2.2) |
| Medicaid | 30 | 67 | 4 | 3 | 1.7 | (1.3, 2.1) |
| Medicaid | 31 | 62 | 5 | 0 | 1.5 | (1.2, 1.9) |
| Medicaid | 32 | 56 | 5 | 1 | 1.4 | (1.1, 1.8) |
| Medicaid | 33 | 49 | 7 | 0 | 1.2 | (1.0, 1.6) |
| Medicaid | 34 | 45 | 3 | 1 | 1.2 | (0.9, 1.5) |
| Medicaid | 35 | 42 | 3 | 0 | 1.1 | (0.8, 1.4) |
| Medicaid | 36 | 42 | 0 | 0 | 1.1 | (0.8, 1.4) |
| Medicaid | 37 | 42 | 0 | 0 | 1.1 | (0.8, 1.4) |
| Medicaid | 38 | 41 | 0 | 1 | 1.1 | (0.8, 1.4) |
| Medicaid | 39 | 36 | 5 | 0 | 1.0 | (0.7, 1.3) |
| Medicaid | 40 | 33 | 2 | 1 | 0.9 | (0.7, 1.2) |
| Medicaid | 41 | 28 | 5 | 0 | 0.8 | (0.5, 1.1) |
| Medicaid | 42 | 27 | 1 | 0 | 0.7 | (0.5, 1.1) |
| Medicaid | 43 | 25 | 2 | 0 | 0.7 | (0.5, 1.0) |
| Medicaid | 44 | 24 | 1 | 0 | 0.7 | (0.4, 1.0) |
| Medicaid | 45 | 24 | 0 | 0 | 0.7 | (0.4, 1.0) |
| Medicaid | 46 | 21 | 2 | 1 | 0.6 | (0.4, 0.9) |
| Medicaid | 47 | 19 | 2 | 0 | 0.5 | (0.4, 0.8) |
| Medicaid | 48 | 18 | 1 | 0 | 0.5 | (0.3, 0.8) |
By age category
| Stratum | Month | N at risk | Events | Censored | Surv (%) | 95% CI (%) |
|---|---|---|---|---|---|---|
| 18-34 | 0 | 4508 | 4 | 0 | 99.9 | (99.8, 100.0) |
| 18-34 | 1 | 2826 | 1612 | 66 | 64.1 | (62.7, 65.5) |
| 18-34 | 2 | 2312 | 465 | 49 | 53.5 | (52.0, 55.0) |
| 18-34 | 3 | 1491 | 718 | 103 | 36.6 | (35.2, 38.0) |
| 18-34 | 4 | 1134 | 315 | 42 | 28.7 | (27.4, 30.1) |
| 18-34 | 5 | 909 | 187 | 38 | 23.9 | (22.7, 25.2) |
| 18-34 | 6 | 669 | 195 | 45 | 18.6 | (17.5, 19.9) |
| 18-34 | 7 | 525 | 120 | 24 | 15.2 | (14.2, 16.4) |
| 18-34 | 8 | 435 | 71 | 19 | 13.1 | (12.1, 14.3) |
| 18-34 | 9 | 346 | 69 | 20 | 11.0 | (10.0, 12.1) |
| 18-34 | 10 | 279 | 57 | 10 | 9.2 | (8.3, 10.2) |
| 18-34 | 11 | 240 | 30 | 9 | 8.2 | (7.3, 9.1) |
| 18-34 | 12 | 190 | 40 | 10 | 6.8 | (6.0, 7.7) |
| 18-34 | 13 | 156 | 24 | 10 | 5.9 | (5.1, 6.8) |
| 18-34 | 14 | 132 | 18 | 6 | 5.2 | (4.5, 6.0) |
| 18-34 | 15 | 112 | 17 | 3 | 4.5 | (3.8, 5.3) |
| 18-34 | 16 | 100 | 9 | 4 | 4.1 | (3.5, 4.9) |
| 18-34 | 17 | 89 | 9 | 1 | 3.8 | (3.1, 4.5) |
| 18-34 | 18 | 77 | 8 | 4 | 3.4 | (2.8, 4.2) |
| 18-34 | 19 | 66 | 8 | 3 | 3.1 | (2.5, 3.8) |
| 18-34 | 20 | 57 | 7 | 2 | 2.7 | (2.2, 3.4) |
| 18-34 | 21 | 51 | 6 | 0 | 2.4 | (1.9, 3.1) |
| 18-34 | 22 | 46 | 4 | 1 | 2.2 | (1.7, 2.9) |
| 18-34 | 23 | 38 | 8 | 0 | 1.9 | (1.4, 2.5) |
| 18-34 | 24 | 30 | 5 | 3 | 1.6 | (1.2, 2.2) |
| 18-34 | 25 | 27 | 2 | 1 | 1.5 | (1.1, 2.1) |
| 18-34 | 26 | 25 | 1 | 1 | 1.4 | (1.0, 2.0) |
| 18-34 | 27 | 24 | 1 | 0 | 1.4 | (1.0, 2.0) |
| 18-34 | 28 | 23 | 1 | 0 | 1.3 | (0.9, 1.9) |
| 18-34 | 29 | 22 | 0 | 1 | 1.3 | (0.9, 1.9) |
| 18-34 | 30 | 20 | 1 | 1 | 1.3 | (0.9, 1.8) |
| 18-34 | 31 | 18 | 1 | 1 | 1.2 | (0.8, 1.8) |
| 18-34 | 32 | 17 | 1 | 0 | 1.1 | (0.7, 1.7) |
| 18-34 | 33 | 15 | 2 | 0 | 1.0 | (0.6, 1.5) |
| 18-34 | 34 | 13 | 0 | 2 | 1.0 | (0.6, 1.5) |
| 18-34 | 35 | 13 | 0 | 0 | 1.0 | (0.6, 1.5) |
| 18-34 | 36 | 13 | 0 | 0 | 1.0 | (0.6, 1.5) |
| 18-34 | 37 | 13 | 0 | 0 | 1.0 | (0.6, 1.5) |
| 18-34 | 38 | 13 | 0 | 0 | 1.0 | (0.6, 1.5) |
| 18-34 | 39 | 12 | 1 | 0 | 0.9 | (0.6, 1.5) |
| 18-34 | 40 | 12 | 0 | 0 | 0.9 | (0.6, 1.5) |
| 18-34 | 41 | 12 | 0 | 0 | 0.9 | (0.6, 1.5) |
| 18-34 | 42 | 12 | 0 | 0 | 0.9 | (0.6, 1.5) |
| 18-34 | 43 | 11 | 1 | 0 | 0.8 | (0.5, 1.4) |
| 18-34 | 44 | 10 | 1 | 0 | 0.8 | (0.4, 1.3) |
| 18-34 | 45 | 10 | 0 | 0 | 0.8 | (0.4, 1.3) |
| 18-34 | 46 | 9 | 0 | 1 | 0.8 | (0.4, 1.3) |
| 18-34 | 47 | 9 | 0 | 0 | 0.8 | (0.4, 1.3) |
| 18-34 | 48 | 7 | 1 | 1 | 0.7 | (0.4, 1.2) |
| 35-54 | 0 | 1827 | 0 | 0 | 100.0 | (100.0, 100.0) |
| 35-54 | 1 | 1281 | 519 | 27 | 71.6 | (69.5, 73.7) |
| 35-54 | 2 | 1111 | 153 | 17 | 63.0 | (60.8, 65.2) |
| 35-54 | 3 | 822 | 244 | 45 | 48.9 | (46.7, 51.3) |
| 35-54 | 4 | 672 | 124 | 26 | 41.4 | (39.2, 43.8) |
| 35-54 | 5 | 575 | 79 | 18 | 36.5 | (34.3, 38.9) |
| 35-54 | 6 | 471 | 79 | 25 | 31.4 | (29.2, 33.7) |
| 35-54 | 7 | 398 | 62 | 11 | 27.2 | (25.1, 29.5) |
| 35-54 | 8 | 350 | 31 | 17 | 25.1 | (23.0, 27.3) |
| 35-54 | 9 | 287 | 45 | 18 | 21.8 | (19.8, 23.9) |
| 35-54 | 10 | 247 | 30 | 10 | 19.4 | (17.6, 21.5) |
| 35-54 | 11 | 218 | 22 | 7 | 17.7 | (15.9, 19.7) |
| 35-54 | 12 | 184 | 31 | 3 | 15.2 | (13.4, 17.1) |
| 35-54 | 13 | 159 | 18 | 7 | 13.7 | (12.0, 15.6) |
| 35-54 | 14 | 145 | 11 | 3 | 12.7 | (11.1, 14.6) |
| 35-54 | 15 | 129 | 9 | 7 | 11.9 | (10.3, 13.8) |
| 35-54 | 16 | 118 | 8 | 3 | 11.2 | (9.6, 13.0) |
| 35-54 | 17 | 107 | 6 | 5 | 10.6 | (9.0, 12.4) |
| 35-54 | 18 | 95 | 11 | 1 | 9.5 | (8.0, 11.2) |
| 35-54 | 19 | 84 | 6 | 5 | 8.9 | (7.4, 10.6) |
| 35-54 | 20 | 73 | 9 | 2 | 7.9 | (6.5, 9.6) |
| 35-54 | 21 | 59 | 10 | 4 | 6.8 | (5.5, 8.4) |
| 35-54 | 22 | 53 | 6 | 0 | 6.1 | (4.8, 7.7) |
| 35-54 | 23 | 49 | 4 | 0 | 5.6 | (4.4, 7.2) |
| 35-54 | 24 | 42 | 6 | 1 | 4.9 | (3.8, 6.5) |
| 35-54 | 25 | 36 | 3 | 3 | 4.6 | (3.5, 6.1) |
| 35-54 | 26 | 31 | 4 | 1 | 4.1 | (3.0, 5.5) |
| 35-54 | 27 | 30 | 0 | 1 | 4.1 | (3.0, 5.5) |
| 35-54 | 28 | 29 | 1 | 0 | 3.9 | (2.9, 5.4) |
| 35-54 | 29 | 23 | 6 | 0 | 3.1 | (2.2, 4.5) |
| 35-54 | 30 | 20 | 1 | 2 | 3.0 | (2.1, 4.3) |
| 35-54 | 31 | 20 | 0 | 0 | 3.0 | (2.1, 4.3) |
| 35-54 | 32 | 17 | 3 | 0 | 2.5 | (1.7, 3.8) |
| 35-54 | 33 | 15 | 2 | 0 | 2.2 | (1.4, 3.5) |
| 35-54 | 34 | 14 | 1 | 0 | 2.1 | (1.3, 3.3) |
| 35-54 | 35 | 12 | 2 | 0 | 1.8 | (1.1, 3.0) |
| 35-54 | 36 | 12 | 0 | 0 | 1.8 | (1.1, 3.0) |
| 35-54 | 37 | 12 | 0 | 0 | 1.8 | (1.1, 3.0) |
| 35-54 | 38 | 12 | 0 | 0 | 1.8 | (1.1, 3.0) |
| 35-54 | 39 | 10 | 2 | 0 | 1.5 | (0.8, 2.7) |
| 35-54 | 40 | 8 | 1 | 1 | 1.3 | (0.7, 2.5) |
| 35-54 | 41 | 7 | 1 | 0 | 1.2 | (0.6, 2.3) |
| 35-54 | 42 | 7 | 0 | 0 | 1.2 | (0.6, 2.3) |
| 35-54 | 43 | 5 | 2 | 0 | 0.8 | (0.4, 1.9) |
| 35-54 | 44 | 5 | 0 | 0 | 0.8 | (0.4, 1.9) |
| 35-54 | 45 | 5 | 0 | 0 | 0.8 | (0.4, 1.9) |
| 35-54 | 46 | 4 | 1 | 0 | 0.7 | (0.3, 1.7) |
| 35-54 | 47 | 4 | 0 | 0 | 0.7 | (0.3, 1.7) |
| 35-54 | 48 | 4 | 0 | 0 | 0.7 | (0.3, 1.7) |
| 55+ | 0 | 284 | 0 | 0 | 100.0 | (100.0, 100.0) |
| 55+ | 1 | 218 | 63 | 3 | 77.8 | (73.1, 82.8) |
| 55+ | 2 | 194 | 21 | 3 | 70.3 | (65.1, 75.8) |
| 55+ | 3 | 161 | 22 | 11 | 62.3 | (56.8, 68.2) |
| 55+ | 4 | 135 | 21 | 5 | 54.1 | (48.5, 60.3) |
| 55+ | 5 | 119 | 14 | 2 | 48.4 | (42.8, 54.8) |
| 55+ | 6 | 97 | 17 | 5 | 41.4 | (35.8, 47.8) |
| 55+ | 7 | 90 | 6 | 1 | 38.8 | (33.3, 45.2) |
| 55+ | 8 | 83 | 6 | 1 | 36.2 | (30.7, 42.6) |
| 55+ | 9 | 66 | 15 | 2 | 29.5 | (24.3, 35.8) |
| 55+ | 10 | 59 | 6 | 1 | 26.8 | (21.8, 33.0) |
| 55+ | 11 | 49 | 6 | 4 | 24.0 | (19.2, 30.1) |
| 55+ | 12 | 45 | 2 | 2 | 23.0 | (18.2, 29.1) |
| 55+ | 13 | 36 | 5 | 4 | 20.4 | (15.8, 26.4) |
| 55+ | 14 | 32 | 2 | 2 | 19.2 | (14.7, 25.2) |
| 55+ | 15 | 28 | 4 | 0 | 16.8 | (12.5, 22.7) |
| 55+ | 16 | 27 | 1 | 0 | 16.2 | (11.9, 22.1) |
| 55+ | 17 | 23 | 2 | 2 | 14.9 | (10.7, 20.7) |
| 55+ | 18 | 19 | 3 | 1 | 13.0 | (9.0, 18.7) |
| 55+ | 19 | 18 | 1 | 0 | 12.3 | (8.4, 18.0) |
| 55+ | 20 | 18 | 0 | 0 | 12.3 | (8.4, 18.0) |
| 55+ | 21 | 16 | 2 | 0 | 10.9 | (7.2, 16.5) |
| 55+ | 22 | 16 | 0 | 0 | 10.9 | (7.2, 16.5) |
| 55+ | 23 | 15 | 0 | 1 | 10.9 | (7.2, 16.5) |
| 55+ | 24 | 14 | 0 | 1 | 10.9 | (7.2, 16.5) |
| 55+ | 25 | 13 | 1 | 0 | 10.1 | (6.5, 15.7) |
| 55+ | 26 | 13 | 0 | 0 | 10.1 | (6.5, 15.7) |
| 55+ | 27 | 12 | 1 | 0 | 9.4 | (5.9, 14.9) |
| 55+ | 28 | 10 | 2 | 0 | 7.8 | (4.6, 13.3) |
| 55+ | 29 | 9 | 1 | 0 | 7.0 | (4.0, 12.4) |
| 55+ | 30 | 7 | 1 | 1 | 6.1 | (3.3, 11.5) |
| 55+ | 31 | 7 | 0 | 0 | 6.1 | (3.3, 11.5) |
| 55+ | 32 | 7 | 0 | 0 | 6.1 | (3.3, 11.5) |
| 55+ | 33 | 5 | 2 | 0 | 4.4 | (2.0, 9.6) |
| 55+ | 34 | 4 | 1 | 0 | 3.5 | (1.4, 8.6) |
| 55+ | 35 | 3 | 1 | 0 | 2.6 | (0.9, 7.6) |
| 55+ | 36 | 3 | 0 | 0 | 2.6 | (0.9, 7.6) |
| 55+ | 37 | 2 | 1 | 0 | 1.8 | (0.5, 6.6) |
| 55+ | 38 | 2 | 0 | 0 | 1.8 | (0.5, 6.6) |
| 55+ | 39 | 2 | 0 | 0 | 1.8 | (0.5, 6.6) |
| 55+ | 40 | 2 | 0 | 0 | 1.8 | (0.5, 6.6) |
| 55+ | 41 | 2 | 0 | 0 | 1.8 | (0.5, 6.6) |
| 55+ | 42 | 1 | 1 | 0 | 0.9 | (0.1, 6.0) |
| 55+ | 43 | 1 | 0 | 0 | 0.9 | (0.1, 6.0) |
| 55+ | 44 | 1 | 0 | 0 | 0.9 | (0.1, 6.0) |
| 55+ | 45 | 1 | 0 | 0 | 0.9 | (0.1, 6.0) |
| 55+ | 46 | 1 | 0 | 0 | 0.9 | (0.1, 6.0) |
| 55+ | 47 | 1 | 0 | 0 | 0.9 | (0.1, 6.0) |
| 55+ | 48 | 1 | 0 | 0 | 0.9 | (0.1, 6.0) |
| <18 | 0 | 6038 | 1 | 0 | 100.0 | (100.0, 100.0) |
| <18 | 1 | 4775 | 1180 | 82 | 80.4 | (79.4, 81.4) |
| <18 | 2 | 4137 | 580 | 58 | 70.6 | (69.4, 71.7) |
| <18 | 3 | 3069 | 958 | 110 | 54.1 | (52.8, 55.3) |
| <18 | 4 | 2375 | 625 | 69 | 42.9 | (41.7, 44.2) |
| <18 | 5 | 1957 | 371 | 47 | 36.1 | (34.9, 37.4) |
| <18 | 6 | 1633 | 280 | 44 | 30.9 | (29.7, 32.1) |
| <18 | 7 | 1367 | 221 | 45 | 26.7 | (25.5, 27.9) |
| <18 | 8 | 1155 | 182 | 30 | 23.1 | (22.0, 24.2) |
| <18 | 9 | 984 | 148 | 23 | 20.1 | (19.1, 21.2) |
| <18 | 10 | 844 | 124 | 16 | 17.5 | (16.5, 18.6) |
| <18 | 11 | 729 | 93 | 22 | 15.6 | (14.6, 16.6) |
| <18 | 12 | 621 | 81 | 27 | 13.8 | (12.9, 14.8) |
| <18 | 13 | 539 | 65 | 17 | 12.4 | (11.5, 13.3) |
| <18 | 14 | 475 | 52 | 12 | 11.2 | (10.3, 12.1) |
| <18 | 15 | 420 | 49 | 6 | 10.0 | (9.2, 10.9) |
| <18 | 16 | 365 | 52 | 4 | 8.8 | (8.0, 9.6) |
| <18 | 17 | 316 | 41 | 7 | 7.8 | (7.0, 8.6) |
| <18 | 18 | 276 | 31 | 9 | 7.0 | (6.3, 7.8) |
| <18 | 19 | 253 | 20 | 3 | 6.5 | (5.8, 7.2) |
| <18 | 20 | 235 | 15 | 3 | 6.1 | (5.4, 6.8) |
| <18 | 21 | 214 | 19 | 2 | 5.6 | (5.0, 6.3) |
| <18 | 22 | 190 | 21 | 3 | 5.0 | (4.4, 5.7) |
| <18 | 23 | 161 | 26 | 3 | 4.3 | (3.8, 5.0) |
| <18 | 24 | 143 | 16 | 2 | 3.9 | (3.4, 4.5) |
| <18 | 25 | 134 | 7 | 2 | 3.7 | (3.2, 4.3) |
| <18 | 26 | 123 | 8 | 3 | 3.5 | (3.0, 4.1) |
| <18 | 27 | 106 | 15 | 2 | 3.1 | (2.6, 3.6) |
| <18 | 28 | 98 | 6 | 2 | 2.9 | (2.4, 3.5) |
| <18 | 29 | 84 | 9 | 5 | 2.6 | (2.2, 3.2) |
| <18 | 30 | 75 | 4 | 5 | 2.5 | (2.0, 3.0) |
| <18 | 31 | 67 | 8 | 0 | 2.2 | (1.8, 2.7) |
| <18 | 32 | 57 | 9 | 1 | 1.9 | (1.5, 2.4) |
| <18 | 33 | 50 | 7 | 0 | 1.7 | (1.3, 2.2) |
| <18 | 34 | 47 | 2 | 1 | 1.6 | (1.2, 2.1) |
| <18 | 35 | 45 | 2 | 0 | 1.5 | (1.2, 2.0) |
| <18 | 36 | 45 | 0 | 0 | 1.5 | (1.2, 2.0) |
| <18 | 37 | 43 | 2 | 0 | 1.5 | (1.1, 1.9) |
| <18 | 38 | 42 | 0 | 1 | 1.5 | (1.1, 1.9) |
| <18 | 39 | 36 | 4 | 2 | 1.3 | (1.0, 1.8) |
| <18 | 40 | 33 | 2 | 1 | 1.3 | (0.9, 1.7) |
| <18 | 41 | 29 | 4 | 0 | 1.1 | (0.8, 1.5) |
| <18 | 42 | 28 | 1 | 0 | 1.1 | (0.8, 1.5) |
| <18 | 43 | 26 | 1 | 1 | 1.0 | (0.7, 1.4) |
| <18 | 44 | 25 | 1 | 0 | 1.0 | (0.7, 1.4) |
| <18 | 45 | 23 | 1 | 1 | 0.9 | (0.7, 1.4) |
| <18 | 46 | 22 | 1 | 0 | 0.9 | (0.6, 1.3) |
| <18 | 47 | 19 | 2 | 1 | 0.8 | (0.6, 1.2) |
| <18 | 48 | 18 | 1 | 0 | 0.8 | (0.5, 1.2) |
By sex
| Stratum | Month | N at risk | Events | Censored | Surv (%) | 95% CI (%) |
|---|---|---|---|---|---|---|
| Female | 0 | 6438 | 2 | 0 | 100.0 | (99.9, 100.0) |
| Female | 1 | 4551 | 1804 | 81 | 71.9 | (70.8, 73.0) |
| Female | 2 | 3863 | 634 | 54 | 61.9 | (60.7, 63.1) |
| Female | 3 | 2735 | 1002 | 126 | 45.6 | (44.4, 46.9) |
| Female | 4 | 2110 | 557 | 68 | 36.2 | (35.0, 37.4) |
| Female | 5 | 1767 | 298 | 45 | 31.0 | (29.9, 32.2) |
| Female | 6 | 1406 | 304 | 57 | 25.6 | (24.5, 26.8) |
| Female | 7 | 1165 | 202 | 39 | 21.9 | (20.8, 23.0) |
| Female | 8 | 977 | 155 | 33 | 18.9 | (17.9, 20.0) |
| Female | 9 | 809 | 135 | 33 | 16.3 | (15.3, 17.3) |
| Female | 10 | 682 | 109 | 18 | 14.1 | (13.2, 15.0) |
| Female | 11 | 593 | 69 | 20 | 12.6 | (11.8, 13.5) |
| Female | 12 | 499 | 68 | 26 | 11.1 | (10.3, 12.0) |
| Female | 13 | 433 | 46 | 20 | 10.1 | (9.3, 10.9) |
| Female | 14 | 395 | 30 | 8 | 9.4 | (8.6, 10.2) |
| Female | 15 | 350 | 36 | 9 | 8.5 | (7.8, 9.3) |
| Female | 16 | 316 | 31 | 4 | 7.8 | (7.0, 8.6) |
| Female | 17 | 279 | 28 | 8 | 7.1 | (6.4, 7.8) |
| Female | 18 | 241 | 31 | 7 | 6.3 | (5.6, 7.0) |
| Female | 19 | 222 | 13 | 6 | 5.9 | (5.3, 6.6) |
| Female | 20 | 199 | 21 | 2 | 5.4 | (4.7, 6.1) |
| Female | 21 | 172 | 23 | 4 | 4.7 | (4.1, 5.4) |
| Female | 22 | 157 | 14 | 1 | 4.3 | (3.8, 5.0) |
| Female | 23 | 140 | 14 | 3 | 4.0 | (3.4, 4.6) |
| Female | 24 | 118 | 16 | 6 | 3.5 | (3.0, 4.1) |
| Female | 25 | 108 | 6 | 4 | 3.3 | (2.8, 3.9) |
| Female | 26 | 96 | 8 | 4 | 3.1 | (2.6, 3.6) |
| Female | 27 | 90 | 6 | 0 | 2.9 | (2.4, 3.4) |
| Female | 28 | 87 | 3 | 0 | 2.8 | (2.3, 3.3) |
| Female | 29 | 74 | 8 | 5 | 2.5 | (2.1, 3.1) |
| Female | 30 | 62 | 5 | 7 | 2.3 | (1.9, 2.9) |
| Female | 31 | 58 | 3 | 1 | 2.2 | (1.8, 2.8) |
| Female | 32 | 52 | 6 | 0 | 2.0 | (1.6, 2.5) |
| Female | 33 | 46 | 6 | 0 | 1.8 | (1.4, 2.3) |
| Female | 34 | 44 | 1 | 1 | 1.7 | (1.3, 2.2) |
| Female | 35 | 40 | 4 | 0 | 1.6 | (1.2, 2.1) |
| Female | 36 | 40 | 0 | 0 | 1.6 | (1.2, 2.1) |
| Female | 37 | 38 | 2 | 0 | 1.5 | (1.1, 2.0) |
| Female | 38 | 38 | 0 | 0 | 1.5 | (1.1, 2.0) |
| Female | 39 | 35 | 2 | 1 | 1.4 | (1.0, 1.9) |
| Female | 40 | 31 | 2 | 2 | 1.3 | (1.0, 1.8) |
| Female | 41 | 29 | 2 | 0 | 1.2 | (0.9, 1.7) |
| Female | 42 | 27 | 2 | 0 | 1.2 | (0.8, 1.6) |
| Female | 43 | 26 | 1 | 0 | 1.1 | (0.8, 1.6) |
| Female | 44 | 26 | 0 | 0 | 1.1 | (0.8, 1.6) |
| Female | 45 | 25 | 0 | 1 | 1.1 | (0.8, 1.6) |
| Female | 46 | 22 | 2 | 1 | 1.0 | (0.7, 1.5) |
| Female | 47 | 20 | 1 | 1 | 1.0 | (0.7, 1.4) |
| Female | 48 | 19 | 0 | 1 | 1.0 | (0.7, 1.4) |
| Male | 0 | 6219 | 3 | 0 | 100.0 | (99.9, 100.0) |
| Male | 1 | 4549 | 1570 | 97 | 74.7 | (73.6, 75.7) |
| Male | 2 | 3891 | 585 | 73 | 65.0 | (63.8, 66.2) |
| Male | 3 | 2808 | 940 | 143 | 49.1 | (47.8, 50.3) |
| Male | 4 | 2206 | 528 | 74 | 39.7 | (38.5, 41.0) |
| Male | 5 | 1793 | 353 | 60 | 33.3 | (32.1, 34.5) |
| Male | 6 | 1464 | 267 | 62 | 28.2 | (27.1, 29.4) |
| Male | 7 | 1215 | 207 | 42 | 24.2 | (23.1, 25.3) |
| Male | 8 | 1046 | 135 | 34 | 21.5 | (20.4, 22.6) |
| Male | 9 | 874 | 142 | 30 | 18.5 | (17.5, 19.6) |
| Male | 10 | 747 | 108 | 19 | 16.2 | (15.2, 17.2) |
| Male | 11 | 643 | 82 | 22 | 14.4 | (13.5, 15.4) |
| Male | 12 | 541 | 86 | 16 | 12.4 | (11.6, 13.4) |
| Male | 13 | 457 | 66 | 18 | 10.9 | (10.1, 11.8) |
| Male | 14 | 389 | 53 | 15 | 9.6 | (8.8, 10.5) |
| Male | 15 | 339 | 43 | 7 | 8.5 | (7.8, 9.4) |
| Male | 16 | 294 | 39 | 7 | 7.6 | (6.8, 8.4) |
| Male | 17 | 256 | 30 | 7 | 6.8 | (6.1, 7.5) |
| Male | 18 | 226 | 22 | 8 | 6.2 | (5.5, 6.9) |
| Male | 19 | 199 | 22 | 5 | 5.6 | (4.9, 6.3) |
| Male | 20 | 184 | 10 | 5 | 5.3 | (4.7, 6.0) |
| Male | 21 | 168 | 14 | 2 | 4.9 | (4.3, 5.6) |
| Male | 22 | 148 | 17 | 3 | 4.4 | (3.8, 5.1) |
| Male | 23 | 123 | 24 | 1 | 3.7 | (3.1, 4.3) |
| Male | 24 | 111 | 11 | 1 | 3.3 | (2.8, 4.0) |
| Male | 25 | 102 | 7 | 2 | 3.1 | (2.6, 3.7) |
| Male | 26 | 96 | 5 | 1 | 3.0 | (2.5, 3.6) |
| Male | 27 | 82 | 11 | 3 | 2.6 | (2.2, 3.2) |
| Male | 28 | 73 | 7 | 2 | 2.4 | (2.0, 3.0) |
| Male | 29 | 64 | 8 | 1 | 2.1 | (1.7, 2.7) |
| Male | 30 | 60 | 2 | 2 | 2.1 | (1.6, 2.6) |
| Male | 31 | 54 | 6 | 0 | 1.9 | (1.5, 2.4) |
| Male | 32 | 46 | 7 | 1 | 1.6 | (1.2, 2.1) |
| Male | 33 | 39 | 7 | 0 | 1.4 | (1.0, 1.8) |
| Male | 34 | 34 | 3 | 2 | 1.3 | (0.9, 1.7) |
| Male | 35 | 33 | 1 | 0 | 1.2 | (0.9, 1.7) |
| Male | 36 | 33 | 0 | 0 | 1.2 | (0.9, 1.7) |
| Male | 37 | 32 | 1 | 0 | 1.2 | (0.9, 1.6) |
| Male | 38 | 31 | 0 | 1 | 1.2 | (0.9, 1.6) |
| Male | 39 | 25 | 5 | 1 | 1.0 | (0.7, 1.4) |
| Male | 40 | 24 | 1 | 0 | 1.0 | (0.7, 1.4) |
| Male | 41 | 21 | 3 | 0 | 0.8 | (0.6, 1.2) |
| Male | 42 | 21 | 0 | 0 | 0.8 | (0.6, 1.2) |
| Male | 43 | 17 | 3 | 1 | 0.7 | (0.5, 1.1) |
| Male | 44 | 15 | 2 | 0 | 0.6 | (0.4, 1.0) |
| Male | 45 | 14 | 1 | 0 | 0.6 | (0.4, 1.0) |
| Male | 46 | 14 | 0 | 0 | 0.6 | (0.4, 1.0) |
| Male | 47 | 13 | 1 | 0 | 0.5 | (0.3, 0.9) |
| Male | 48 | 11 | 2 | 0 | 0.5 | (0.3, 0.8) |
This is the absolute prevalence rate of Any-DMT coverage: total days covered by a continuous DMT episode divided by total observable person-days, reported for the full SCD cohort and for DMT-exposed initiators, overall and marginally by age category, sex, and insurance type. It is the absolute counterpart to the Medicaid-vs-Commercial prevalence rate ratio in the next section: the PRR is the ratio of the two insurance rows shown here. Person-time is the pharmacy-enrollment window per patient. Because consecutive covered days within a patient are not independent, a binomial or Poisson interval on the pooled day counts would understate the true uncertainty; the 95% intervals are patient-clustered bootstraps that resample whole patients with replacement (B = 2000, seed = 42, percentile).
| Stratum | Level | N | Covered days | Person-days | Coverage rate (95% CI) |
|---|---|---|---|---|---|
| Overall | All | 48,760 | 6,236,602 | 84,972,780 | 7.3% (7.1 to 7.5) |
| Insurance type | Commercial | 24,068 | 2,606,461 | 35,872,063 | 7.3% (7.0 to 7.5) |
| Insurance type | Medicaid | 24,692 | 3,630,141 | 49,100,717 | 7.4% (7.1 to 7.7) |
| Age category | <18 | 17,509 | 3,688,917 | 34,421,462 | 10.7% (10.4 to 11.1) |
| Age category | 18-34 | 17,809 | 1,576,101 | 26,533,057 | 5.9% (5.7 to 6.2) |
| Age category | 35-54 | 10,648 | 829,429 | 18,753,860 | 4.4% (4.1 to 4.8) |
| Age category | 55+ | 2,794 | 142,155 | 5,264,401 | 2.7% (2.2 to 3.2) |
| Sex | Male | 19,380 | 3,200,790 | 33,184,747 | 9.6% (9.3 to 10.0) |
| Sex | Female | 29,380 | 3,035,812 | 51,788,033 | 5.9% (5.6 to 6.1) |
| Stratum | Level | N | Covered days | Person-days | Coverage rate (95% CI) |
|---|---|---|---|---|---|
| Overall | All | 12,657 | 6,236,602 | 24,951,271 | 25.0% (24.5 to 25.5) |
| Insurance type | Commercial | 6,157 | 2,606,461 | 9,095,869 | 28.7% (27.9 to 29.5) |
| Insurance type | Medicaid | 6,500 | 3,630,141 | 15,855,402 | 22.9% (22.3 to 23.5) |
| Age category | <18 | 6,038 | 3,688,917 | 13,930,390 | 26.5% (25.8 to 27.1) |
| Age category | 18-34 | 4,508 | 1,576,101 | 7,353,849 | 21.4% (20.7 to 22.2) |
| Age category | 35-54 | 1,827 | 829,429 | 3,212,506 | 25.8% (24.4 to 27.3) |
| Age category | 55+ | 284 | 142,155 | 454,526 | 31.3% (27.3 to 35.3) |
| Sex | Male | 6,219 | 3,200,790 | 12,081,104 | 26.5% (25.8 to 27.2) |
| Sex | Female | 6,438 | 3,035,812 | 12,870,167 | 23.6% (22.9 to 24.2) |
Per-agent counterpart to the Any-DMT table above: the population-level absolute coverage rate (covered days per person-day, full SCD cohort) for each agent, overall and by insurance arm, paired with the per-agent full-cohort PRR. Hydroxyurea carries essentially all coverage; the three newer agents cover a small fraction of person-time, so the long table is printed at full precision below the formatted table. The Any DMT row reproduces the section-12 full-cohort rate and is the consistency check that the per-drug frames and the Any-DMT table agree. The crizanlizumab full-cohort PRR may be unstable or non-estimable given the very small exposed count (NDC-only ascertainment; Methods).
## # A tibble: 15 × 7
## short level n rate lower upper Agent
## <chr> <chr> <int> <dbl> <dbl> <dbl> <chr>
## 1 any Commercial 24068 0.0727 0.0699 0.0754 Any DMT
## 2 any Medicaid 24692 0.0739 0.0714 0.0765 Any DMT
## 3 any Overall 48760 0.0734 0.0715 0.0752 Any DMT
## 4 cri Commercial 24068 0.0000338 0.0000110 0.0000626 Crizanlizumab
## 5 cri Medicaid 24692 0.00000291 0.00000118 0.00000519 Crizanlizumab
## 6 cri Overall 48760 0.0000160 0.00000688 0.0000272 Crizanlizumab
## 7 hyd Commercial 24068 0.0702 0.0675 0.0729 Hydroxyurea
## 8 hyd Medicaid 24692 0.0720 0.0696 0.0746 Hydroxyurea
## 9 hyd Overall 48760 0.0712 0.0693 0.0730 Hydroxyurea
## 10 glu Commercial 24068 0.00128 0.00104 0.00154 L-glutamine
## 11 glu Medicaid 24692 0.00148 0.00126 0.00173 L-glutamine
## 12 glu Overall 48760 0.00140 0.00124 0.00156 L-glutamine
## 13 vox Commercial 24068 0.00255 0.00220 0.00293 Voxelotor
## 14 vox Medicaid 24692 0.00182 0.00157 0.00207 Voxelotor
## 15 vox Overall 48760 0.00213 0.00192 0.00235 Voxelotor
## # A tibble: 5 × 6
## Agent prr prr_lo prr_hi prr_p theta
## <chr> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 Hydroxyurea 1.03 1.02 1.03 1.74e-202 9.91e+5
## 2 L-glutamine 0.841 0.576 1.23 3.67e- 1 2.22e-3
## 3 Crizanlizumab 0.0280 0.00221 0.347 2.30e- 3 6.12e-5
## 4 Voxelotor 0.408 0.284 0.586 1.13e- 6 2.43e-3
## 5 Any DMT 1.02 1.02 1.02 5.12e-101 1.01e+6
| Agent | Overall | Commercial | Medicaid | Full-cohort PRR (95% CI) | p |
|---|---|---|---|---|---|
| Hydroxyurea | 7.123% (6.935 to 7.298) | 7.020% (6.753 to 7.294) | 7.199% (6.959 to 7.455) | 1.025 (1.024 to 1.027) | <0.001 |
| L-glutamine | 0.140% (0.124 to 0.156) | 0.128% (0.104 to 0.154) | 0.148% (0.126 to 0.173) | 0.841 (0.576 to 1.227) | 0.367 |
| Crizanlizumab | 0.002% (0.001 to 0.003) | 0.003% (0.001 to 0.006) | 0.000% (0.000 to 0.001) | 0.028 (0.002 to 0.347) | 0.002 |
| Voxelotor | 0.213% (0.192 to 0.235) | 0.255% (0.220 to 0.293) | 0.182% (0.157 to 0.207) | 0.408 (0.284 to 0.586) | <0.001 |
| Any DMT | 7.340% (7.148 to 7.517) | 7.266% (6.994 to 7.535) | 7.393% (7.145 to 7.654) | 1.017 (1.016 to 1.019) | <0.001 |
The coverage cascade asks, for each coverage level c from 0 to 100%, what fraction of patients spent at least c of their observable person-time on Any DMT. Plotted as a descending survival-style function S(c) = Pr(PDC >= c), it carries the whole coverage distribution in one curve: the height at c = 0 is the full denominator, the height at the dotted 80% line is the fraction meeting the conventional adherence threshold, and the height at c = 1.0 is the fraction covered for essentially their entire window. The full-cohort panel falls steeply just past c = 0 as never-initiators and minimally-covered patients drop out; the DMT-exposed panel conditions those away. Descriptive only; no test is applied.
| Framing | Stratum | Coverage >= c | % of patients |
|---|---|---|---|
| Full SCD cohort | Overall | 0% | 100.0% |
| Full SCD cohort | Overall | 10% | 18.2% |
| Full SCD cohort | Overall | 20% | 13.6% |
| Full SCD cohort | Overall | 30% | 10.3% |
| Full SCD cohort | Overall | 40% | 7.9% |
| Full SCD cohort | Overall | 50% | 5.9% |
| Full SCD cohort | Overall | 60% | 4.1% |
| Full SCD cohort | Overall | 70% | 2.8% |
| Full SCD cohort | Overall | 80% | 1.7% |
| Full SCD cohort | Overall | 90% | 0.8% |
| Full SCD cohort | Overall | 100% | 0.2% |
| Full SCD cohort | Commercial | 0% | 100.0% |
| Full SCD cohort | Commercial | 10% | 19.5% |
| Full SCD cohort | Commercial | 20% | 15.5% |
| Full SCD cohort | Commercial | 30% | 12.2% |
| Full SCD cohort | Commercial | 40% | 9.8% |
| Full SCD cohort | Commercial | 50% | 7.5% |
| Full SCD cohort | Commercial | 60% | 5.6% |
| Full SCD cohort | Commercial | 70% | 3.9% |
| Full SCD cohort | Commercial | 80% | 2.4% |
| Full SCD cohort | Commercial | 90% | 1.3% |
| Full SCD cohort | Commercial | 100% | 0.3% |
| Full SCD cohort | Medicaid | 0% | 100.0% |
| Full SCD cohort | Medicaid | 10% | 17.0% |
| Full SCD cohort | Medicaid | 20% | 11.8% |
| Full SCD cohort | Medicaid | 30% | 8.5% |
| Full SCD cohort | Medicaid | 40% | 6.1% |
| Full SCD cohort | Medicaid | 50% | 4.2% |
| Full SCD cohort | Medicaid | 60% | 2.7% |
| Full SCD cohort | Medicaid | 70% | 1.7% |
| Full SCD cohort | Medicaid | 80% | 0.9% |
| Full SCD cohort | Medicaid | 90% | 0.4% |
| Full SCD cohort | Medicaid | 100% | 0.0% |
| DMT-exposed | Overall | 0% | 100.0% |
| DMT-exposed | Overall | 10% | 70.1% |
| DMT-exposed | Overall | 20% | 52.4% |
| DMT-exposed | Overall | 30% | 39.8% |
| DMT-exposed | Overall | 40% | 30.6% |
| DMT-exposed | Overall | 50% | 22.5% |
| DMT-exposed | Overall | 60% | 15.9% |
| DMT-exposed | Overall | 70% | 10.7% |
| DMT-exposed | Overall | 80% | 6.4% |
| DMT-exposed | Overall | 90% | 3.2% |
| DMT-exposed | Overall | 100% | 0.7% |
| DMT-exposed | Commercial | 0% | 100.0% |
| DMT-exposed | Commercial | 10% | 76.1% |
| DMT-exposed | Commercial | 20% | 60.5% |
| DMT-exposed | Commercial | 30% | 47.8% |
| DMT-exposed | Commercial | 40% | 38.4% |
| DMT-exposed | Commercial | 50% | 29.5% |
| DMT-exposed | Commercial | 60% | 21.9% |
| DMT-exposed | Commercial | 70% | 15.3% |
| DMT-exposed | Commercial | 80% | 9.6% |
| DMT-exposed | Commercial | 90% | 5.0% |
| DMT-exposed | Commercial | 100% | 1.3% |
| DMT-exposed | Medicaid | 0% | 100.0% |
| DMT-exposed | Medicaid | 10% | 64.5% |
| DMT-exposed | Medicaid | 20% | 44.7% |
| DMT-exposed | Medicaid | 30% | 32.3% |
| DMT-exposed | Medicaid | 40% | 23.1% |
| DMT-exposed | Medicaid | 50% | 16.0% |
| DMT-exposed | Medicaid | 60% | 10.3% |
| DMT-exposed | Medicaid | 70% | 6.3% |
| DMT-exposed | Medicaid | 80% | 3.4% |
| DMT-exposed | Medicaid | 90% | 1.4% |
| DMT-exposed | Medicaid | 100% | 0.1% |
Per-patient proportion of days covered (PDC) and aggregate PDC by insurance arm. The full-cohort rows include never-exposed patients (PDC = 0); the rx-exposed rows condition on at least one day of that specific drug. The aggregate PDC column is the ratio most directly comparable to a period prevalence: total rx-days / total observable days within an arm.
| Analysis | Insurance | N | Mean PDC | SD | Median PDC | Q1 | Q3 | Sum rx days | Sum total days | Aggregate PDC |
|---|---|---|---|---|---|---|---|---|---|---|
| Hydroxyurea: full cohort | Commercial | 24068 | 0.087 | 0.206 | 0.000 | 0.000 | 0.000 | 2518376 | 35872063 | 0.070 |
| Hydroxyurea: full cohort | Medicaid | 24692 | 0.064 | 0.159 | 0.000 | 0.000 | 0.011 | 3534619 | 49100717 | 0.072 |
| Hydroxyurea: rx-exposed | Commercial | 5965 | 0.352 | 0.279 | 0.280 | 0.106 | 0.553 | 2518376 | 8828834 | 0.285 |
| Hydroxyurea: rx-exposed | Medicaid | 6406 | 0.246 | 0.230 | 0.170 | 0.061 | 0.371 | 3534619 | 15602999 | 0.227 |
| L-glutamine: full cohort | Commercial | 24068 | 0.002 | 0.022 | 0.000 | 0.000 | 0.000 | 45762 | 35872063 | 0.001 |
| L-glutamine: full cohort | Medicaid | 24692 | 0.001 | 0.018 | 0.000 | 0.000 | 0.000 | 72914 | 49100717 | 0.001 |
| L-glutamine: rx-exposed | Commercial | 307 | 0.118 | 0.153 | 0.049 | 0.022 | 0.152 | 45762 | 619640 | 0.074 |
| L-glutamine: rx-exposed | Medicaid | 399 | 0.078 | 0.123 | 0.032 | 0.013 | 0.083 | 72914 | 1297507 | 0.056 |
| Crizanlizumab: full cohort | Commercial | 24068 | 0.000 | 0.003 | 0.000 | 0.000 | 0.000 | 1213 | 35872063 | 0.000 |
| Crizanlizumab: full cohort | Medicaid | 24692 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 143 | 49100717 | 0.000 |
| Crizanlizumab: rx-exposed | Commercial | 11 | 0.114 | 0.111 | 0.049 | 0.036 | 0.211 | 1213 | 16157 | 0.075 |
| Crizanlizumab: rx-exposed | Medicaid | 22 | 0.002 | 0.002 | 0.001 | 0.001 | 0.002 | 143 | 90882 | 0.002 |
| Voxelotor: full cohort | Commercial | 24068 | 0.004 | 0.040 | 0.000 | 0.000 | 0.000 | 91442 | 35872063 | 0.003 |
| Voxelotor: full cohort | Medicaid | 24692 | 0.001 | 0.020 | 0.000 | 0.000 | 0.000 | 89317 | 49100717 | 0.002 |
| Voxelotor: rx-exposed | Commercial | 378 | 0.227 | 0.231 | 0.147 | 0.046 | 0.318 | 91442 | 696500 | 0.131 |
| Voxelotor: rx-exposed | Medicaid | 440 | 0.082 | 0.126 | 0.040 | 0.016 | 0.090 | 89317 | 1514709 | 0.059 |
| Any DMT: full cohort | Commercial | 24068 | 0.091 | 0.210 | 0.000 | 0.000 | 0.014 | 2606461 | 35872063 | 0.073 |
| Any DMT: full cohort | Medicaid | 24692 | 0.065 | 0.162 | 0.000 | 0.000 | 0.013 | 3630141 | 49100717 | 0.074 |
| Any DMT: rx-exposed | Commercial | 6157 | 0.354 | 0.280 | 0.280 | 0.107 | 0.558 | 2606461 | 9095869 | 0.287 |
| Any DMT: rx-exposed | Medicaid | 6500 | 0.248 | 0.232 | 0.171 | 0.062 | 0.376 | 3630141 | 15855402 | 0.229 |
Negative binomial regression with log(total_days)
offset. Each row is exp(β_insuranceMedicaid): the
Medicaid-to-Commercial ratio of per-person-day DMT prevalence.
Commercial is the reference, so PRR < 1 means
Medicaid patients spend a smaller fraction of observation time on that
drug than Commercial; PRR > 1 means Medicaid spends more.
| Analysis | PRR (95% CI) | p | NB theta | N |
|---|---|---|---|---|
| Hydroxyurea: full cohort | 1.03 (1.02 to 1.03) | < 0.0001 | 9.91e+05 | 48760 |
| Hydroxyurea: rx-exposed | 0.70 (0.67 to 0.72) | < 0.0001 | 1.08 | 12371 |
| L-glutamine: full cohort | 0.84 (0.58 to 1.23) | 0.3668 | 0.00222 | 48760 |
| L-glutamine: rx-exposed | 0.66 (0.56 to 0.79) | < 0.0001 | 0.792 | 706 |
| Crizanlizumab: full cohort | 0.03 (0.00 to 0.35) | 0.0023 | 6.12e-05 | 48760 |
| Crizanlizumab: rx-exposed | 0.01 (0.01 to 0.03) | < 0.0001 | 1.26 | 33 |
| Voxelotor: full cohort | 0.41 (0.28 to 0.59) | < 0.0001 | 0.00243 | 48760 |
| Voxelotor: rx-exposed | 0.36 (0.31 to 0.42) | < 0.0001 | 0.876 | 818 |
| Any DMT: full cohort | 1.02 (1.02 to 1.02) | < 0.0001 | 1.01e+06 | 48760 |
| Any DMT: rx-exposed | 0.70 (0.68 to 0.73) | < 0.0001 | 1.09 | 12657 |
Bootstrap re-estimation of the any-DMT primary PRRs (full cohort and
DMT-exposed initiators) and the hydroxyurea full-cohort PRR, resampling
whole patients with replacement (B = 2000, percentile). These are the
cells whose negative-binomial model interval is governed by the Poisson
limit and is therefore implausibly narrow; the bootstrap gives an honest
interval that reflects between-patient variability. Point estimates are
identical to the model-based table above. The three newer agents are not
bootstrapped: their dispersion parameter is small, so their model-based
NB CIs above are already wide and honest. boot_fail counts
resamples that failed to yield a finite PRR.
| Analysis | N | PRR (95% CI, bootstrap) | Model-based 95% CI | theta | boot_fail |
|---|---|---|---|---|---|
| Any DMT: full cohort | 48,760 | 1.017 (0.967 to 1.072) | 1.016 to 1.019 | 1.01e+06 | 0 |
| Any DMT: DMT-exposed | 12,657 | 0.702 (0.681 to 0.723) | 0.678 to 0.725 | 1.09e+00 | 0 |
| Hydroxyurea: full cohort | 48,760 | 1.025 (0.973 to 1.076) | 1.024 to 1.027 | 9.91e+05 | 0 |
Subgroup consistency check for the rx-exposed Any-DMT PRR. Each row
is an independent NB regression on the rx-exposed PDC dataset restricted
to that demographic stratum, with insurance as the sole predictor and
log(total_days) offset. Age category and sex are joined
from sick_all; no additional covariates are included. The
intent is to verify directional consistency across strata, not to test
effect modification.
| Group | Subgroup | N | PRR (95% CI) | p |
|---|---|---|---|---|
| Overall | Overall | 12,657 | 0.70 (0.68 to 0.72) | < 0.0001 |
| Age category | < 18 y | 6,038 | 0.70 (0.67 to 0.73) | < 0.0001 |
| Age category | 18–34 y | 4,508 | 0.64 (0.60 to 0.67) | < 0.0001 |
| Age category | 35–54 y | 1,827 | 0.69 (0.62 to 0.76) | < 0.0001 |
| Age category | ≥ 55 y | 284 | 0.87 (0.67 to 1.08) | 0.2779 |
| Sex | Female | 6,438 | 0.71 (0.68 to 0.74) | < 0.0001 |
| Sex | Male | 6,219 | 0.69 (0.66 to 0.72) | < 0.0001 |
Figure: Medicaid-vs-Commercial coverage PRR (Any DMT, rx-exposed) overall and within age and sex strata. Diamond = overall primary estimate; squares = subgroup estimates. Reference line at PRR = 1.0 (no difference). A PRR consistently below unity across all strata rules out a demographic confound as the driver of the headline finding.
Poster-quality subgroup forest saved to
forest_subgroup_poster.png. Drop into the poster build
script.
dx_trait against DMT exposureAll patients in this cohort meet the validated SCD definition (Reeves
2020). The dx_trait flag identifies patients with any
historical claim carrying ICD-9 282.5 or ICD-10 D57.3, codes that are
nominally for sickle cell trait. Of the 48,760 patients in the cohort,
12,784 (26.2%) carry a trait flag. The substantive question is whether
these patients differ from non-trait patients in their DMT exposure
rates. If trait-flagged patients receive DMT at substantially lower
rates than non-trait patients, that is the signature of true non-SCD
inclusion. If the rates are similar, the trait flag is most likely
coding noise (clinician confusion of trait with disease) rather than
evidence of misclassification.
| Drug | Insurance | Trait status | N | N exposed | % exposed |
|---|---|---|---|---|---|
| Any DMT | Commercial | No trait flag | 19,598 | 5,399 | 27.5% |
| Any DMT | Commercial | Trait flag | 4,470 | 759 | 17.0% |
| Any DMT | Medicaid | No trait flag | 16,378 | 4,937 | 30.1% |
| Any DMT | Medicaid | Trait flag | 8,314 | 1,576 | 19.0% |
| Crizanlizumab | Commercial | No trait flag | 19,598 | 9 | 0.0% |
| Crizanlizumab | Commercial | Trait flag | 4,470 | 3 | 0.1% |
| Crizanlizumab | Medicaid | No trait flag | 16,378 | 10 | 0.1% |
| Crizanlizumab | Medicaid | Trait flag | 8,314 | 12 | 0.1% |
| Hydroxyurea | Commercial | No trait flag | 19,598 | 5,226 | 26.7% |
| Hydroxyurea | Commercial | Trait flag | 4,470 | 740 | 16.6% |
| Hydroxyurea | Medicaid | No trait flag | 16,378 | 4,867 | 29.7% |
| Hydroxyurea | Medicaid | Trait flag | 8,314 | 1,553 | 18.7% |
| L-glutamine | Commercial | No trait flag | 19,598 | 261 | 1.3% |
| L-glutamine | Commercial | Trait flag | 4,470 | 47 | 1.1% |
| L-glutamine | Medicaid | No trait flag | 16,378 | 285 | 1.7% |
| L-glutamine | Medicaid | Trait flag | 8,314 | 114 | 1.4% |
| Voxelotor | Commercial | No trait flag | 19,598 | 334 | 1.7% |
| Voxelotor | Commercial | Trait flag | 4,470 | 44 | 1.0% |
| Voxelotor | Medicaid | No trait flag | 16,378 | 324 | 2.0% |
| Voxelotor | Medicaid | Trait flag | 8,314 | 120 | 1.4% |
| Drug | Trait status | N | N exposed | % exposed |
|---|---|---|---|---|
| Any DMT | No trait flag | 35,976 | 10,336 | 28.7% |
| Any DMT | Trait flag | 12,784 | 2,335 | 18.3% |
| Crizanlizumab | No trait flag | 35,976 | 19 | 0.1% |
| Crizanlizumab | Trait flag | 12,784 | 15 | 0.1% |
| Hydroxyurea | No trait flag | 35,976 | 10,093 | 28.1% |
| Hydroxyurea | Trait flag | 12,784 | 2,293 | 17.9% |
| L-glutamine | No trait flag | 35,976 | 546 | 1.5% |
| L-glutamine | Trait flag | 12,784 | 161 | 1.3% |
| Voxelotor | No trait flag | 35,976 | 658 | 1.8% |
| Voxelotor | Trait flag | 12,784 | 164 | 1.3% |
Two-by-two chi-square comparing exposure rates between trait-flagged
and not-trait-flagged patients, separately by insurance arm and pooled.
Patients with dx_trait missing are excluded from the test
(their counts are reported in the descriptive tables above and in the
audit chunk).
| Drug | Arm | N trait | N no trait | Chi-sq | df | p |
|---|---|---|---|---|---|---|
| Hydroxyurea | Commercial | 4,470 | 19,598 | 199.05 | 1 | < 0.0001 |
| Hydroxyurea | Medicaid | 8,314 | 16,378 | 348.60 | 1 | < 0.0001 |
| Hydroxyurea | Overall | 12,784 | 35,976 | 509.08 | 1 | < 0.0001 |
| L-glutamine | Commercial | 4,470 | 19,598 | 2.05 | 1 | 0.1525 |
| L-glutamine | Medicaid | 8,314 | 16,378 | 4.49 | 1 | 0.0340 |
| L-glutamine | Overall | 12,784 | 35,976 | 4.22 | 1 | 0.0398 |
| Crizanlizumab | Commercial | 4,470 | 19,598 | 0.04 | 1 | 0.8403 |
| Crizanlizumab | Medicaid | 8,314 | 16,378 | 3.41 | 1 | 0.0647 |
| Crizanlizumab | Overall | 12,784 | 35,976 | 4.75 | 1 | 0.0293 |
| Voxelotor | Commercial | 4,470 | 19,598 | 11.74 | 1 | 0.0006 |
| Voxelotor | Medicaid | 8,314 | 16,378 | 8.64 | 1 | 0.0033 |
| Voxelotor | Overall | 12,784 | 35,976 | 16.65 | 1 | < 0.0001 |
| Any DMT | Commercial | 4,470 | 19,598 | 212.99 | 1 | < 0.0001 |
| Any DMT | Medicaid | 8,314 | 16,378 | 354.88 | 1 | < 0.0001 |
| Any DMT | Overall | 12,784 | 35,976 | 536.56 | 1 | < 0.0001 |
This sensitivity excludes any patient with a trait flag
(dx_trait == 1), removing 12,784 patients (26.2% of the
full cohort). Because all included patients meet the validated SCD
definition, the purpose of this analysis is not to remove ineligible
patients but to verify that the headline persistence and PRR results are
robust to whatever residual misclassification could be implied by the
trait flag.
| Characteristic | Overall N = 10,3361 |
Commercial N = 5,3991 |
Medicaid N = 4,9371 |
p-value2 |
|---|---|---|---|---|
| Age at first SCD dx | 18 (9, 29) | 23 (13, 34) | 14 (7, 22) | <0.001 |
| Age category | <0.001 | |||
| <18 | 5,042 (49%) | 2,014 (37%) | 3,028 (61%) | |
| 18-34 | 3,588 (35%) | 2,142 (40%) | 1,446 (29%) | |
| 35-54 | 1,467 (14%) | 1,061 (20%) | 406 (8.2%) | |
| 55+ | 239 (2.3%) | 182 (3.4%) | 57 (1.2%) | |
| Sex | <0.001 | |||
| Male | 5,233 (51%) | 2,625 (49%) | 2,608 (53%) | |
| Female | 5,103 (49%) | 2,774 (51%) | 2,329 (47%) | |
| Region (commercial only) | >0.9 | |||
| Northeast | 916 (17%) | 916 (17%) | 0 (NA%) | |
| North Central | 740 (14%) | 740 (14%) | 0 (NA%) | |
| South | 3,276 (61%) | 3,276 (61%) | 0 (NA%) | |
| West | 406 (7.5%) | 406 (7.5%) | 0 (NA%) | |
| Unknown | 61 (1.1%) | 61 (1.1%) | 0 (NA%) | |
| Missing | 4,937 | 0 | 4,937 | |
| Race (Medicaid only) | >0.9 | |||
| White | 89 (1.9%) | 0 (NA%) | 89 (1.9%) | |
| Black | 3,325 (72%) | 0 (NA%) | 3,325 (72%) | |
| Other | 0 (0%) | 0 (NA%) | 0 (0%) | |
| Hispanic | 72 (1.6%) | 0 (NA%) | 72 (1.6%) | |
| Unknown | 1,140 (25%) | 0 (NA%) | 1,140 (25%) | |
| Missing | 5,710 | 5,399 | 311 | |
| 1 Median (Q1, Q3); n (%) | ||||
| 2 Wilcoxon rank sum test; Pearson’s Chi-squared test; Fisher’s exact test | ||||
| Drug | Stratum | Analysis | Chi-sq | df | p |
|---|---|---|---|---|---|
| Any DMT | age_cat | Primary | 371.54 | 3 | < 0.0001 |
| Any DMT | age_cat | Sensitivity | 264.89 | 3 | < 0.0001 |
| Any DMT | insurance | Primary | 100.26 | 1 | < 0.0001 |
| Any DMT | insurance | Sensitivity | 67.29 | 1 | < 0.0001 |
| Any DMT | sex | Primary | 9.89 | 1 | 0.0017 |
| Any DMT | sex | Sensitivity | 4.02 | 1 | 0.0448 |
| Crizanlizumab | age_cat | Primary | 2.87 | 2 | 0.2384 |
| Crizanlizumab | age_cat | Sensitivity | 4.50 | 2 | 0.1051 |
| Crizanlizumab | insurance | Primary | 32.00 | 1 | < 0.0001 |
| Crizanlizumab | insurance | Sensitivity | 17.00 | 1 | < 0.0001 |
| Crizanlizumab | sex | Primary | 0.32 | 1 | 0.5743 |
| Crizanlizumab | sex | Sensitivity | 2.10 | 1 | 0.1475 |
| Hydroxyurea | age_cat | Primary | 363.79 | 3 | < 0.0001 |
| Hydroxyurea | age_cat | Sensitivity | 255.75 | 3 | < 0.0001 |
| Hydroxyurea | insurance | Primary | 116.72 | 1 | < 0.0001 |
| Hydroxyurea | insurance | Sensitivity | 76.22 | 1 | < 0.0001 |
| Hydroxyurea | sex | Primary | 12.09 | 1 | 0.0005 |
| Hydroxyurea | sex | Sensitivity | 5.78 | 1 | 0.0162 |
| L-glutamine | age_cat | Primary | 15.25 | 3 | 0.0016 |
| L-glutamine | age_cat | Sensitivity | 16.95 | 3 | 0.0007 |
| L-glutamine | insurance | Primary | 0.18 | 1 | 0.6679 |
| L-glutamine | insurance | Sensitivity | 0.18 | 1 | 0.6711 |
| L-glutamine | sex | Primary | 1.10 | 1 | 0.2938 |
| L-glutamine | sex | Sensitivity | 1.31 | 1 | 0.2532 |
| Voxelotor | age_cat | Primary | 8.48 | 3 | 0.0371 |
| Voxelotor | age_cat | Sensitivity | 7.29 | 3 | 0.0632 |
| Voxelotor | insurance | Primary | 3.04 | 1 | 0.0812 |
| Voxelotor | insurance | Sensitivity | 3.62 | 1 | 0.0571 |
| Voxelotor | sex | Primary | 2.49 | 1 | 0.1143 |
| Voxelotor | sex | Sensitivity | 0.82 | 1 | 0.3649 |
| Set | Analysis | PRR (95% CI) | p | NB theta | N |
|---|---|---|---|---|---|
| Primary | Hydroxyurea: full cohort | 1.03 (1.02 to 1.03) | < 0.0001 | 9.91e+05 | 48760 |
| Primary | Hydroxyurea: rx-exposed | 0.70 (0.67 to 0.72) | < 0.0001 | 1.08 | 12371 |
| Primary | L-glutamine: full cohort | 0.84 (0.58 to 1.23) | 0.3668 | 0.00222 | 48760 |
| Primary | L-glutamine: rx-exposed | 0.66 (0.56 to 0.79) | < 0.0001 | 0.792 | 706 |
| Primary | Crizanlizumab: full cohort | 0.03 (0.00 to 0.35) | 0.0023 | 6.12e-05 | 48760 |
| Primary | Crizanlizumab: rx-exposed | 0.01 (0.01 to 0.03) | < 0.0001 | 1.26 | 33 |
| Primary | Voxelotor: full cohort | 0.41 (0.28 to 0.59) | < 0.0001 | 0.00243 | 48760 |
| Primary | Voxelotor: rx-exposed | 0.36 (0.31 to 0.42) | < 0.0001 | 0.876 | 818 |
| Primary | Any DMT: full cohort | 1.02 (1.02 to 1.02) | < 0.0001 | 1.01e+06 | 48760 |
| Primary | Any DMT: rx-exposed | 0.70 (0.68 to 0.73) | < 0.0001 | 1.09 | 12657 |
| Sensitivity | (no trait) Hydroxyurea: full cohort | 1.09 (1.09 to 1.09) | < 0.0001 | 1.02e+06 | 35976 |
| Sensitivity | (no trait) Hydroxyurea: rx-exposed | 0.71 (0.68 to 0.73) | < 0.0001 | 1.12 | 10080 |
| Sensitivity | (no trait) L-glutamine: full cohort | 0.88 (0.57 to 1.36) | 0.5560 | 0.00234 | 35976 |
| Sensitivity | (no trait) L-glutamine: rx-exposed | 0.67 (0.56 to 0.81) | < 0.0001 | 0.807 | 546 |
| Sensitivity | (no trait) Crizanlizumab: full cohort | 0.03 (0.00 to 0.42) | 0.0031 | 8.16e-05 | 35976 |
| Sensitivity | (no trait) Crizanlizumab: rx-exposed | 0.02 (0.01 to 0.05) | < 0.0001 | 1.16 | 18 |
| Sensitivity | (no trait) Voxelotor: full cohort | 0.43 (0.29 to 0.65) | < 0.0001 | 0.00263 | 35976 |
| Sensitivity | (no trait) Voxelotor: rx-exposed | 0.37 (0.32 to 0.44) | < 0.0001 | 0.889 | 657 |
| Sensitivity | (no trait) Any DMT: full cohort | 1.08 (1.08 to 1.08) | < 0.0001 | 1.05e+06 | 35976 |
| Sensitivity | (no trait) Any DMT: rx-exposed | 0.71 (0.68 to 0.74) | < 0.0001 | 1.12 | 10324 |
Two adult-only sensitivity analyses are run in parallel rather than as alternatives. The fixed-age cut at 18 is the literature default in claims-based SCD pharmacoepidemiology (Udeze 2025, Kanter 2019, Medicaid 2025). The cut at 26 is data-justified by the age distribution of cohort exit: in the Commercial arm, exit-age density shows a pronounced spike at exactly age 26, the ACA dependent-coverage cliff, and a second smaller cluster at 65 marking Medicare transition. In the Medicaid arm, the EPSDT age-21 transition produces a similar though less abrupt feature. Restricting to age 26 and above isolates patients past both the dependent-coverage cliff and most state Medicaid age cliffs, which is the cleanest definition of an “access-stable adult” subset the data support.
For each threshold we report two operationalizations. The fixed-age definition restricts to patients whose age at first SCD diagnosis is at or above the threshold; this is the published convention. It is biased toward apparent insurance-arm equivalence because patients who entered pediatric and aged into adulthood during follow-up are misclassified as adults, and the pediatric arm of this cohort persists better than the adult arm. The person-time-aware definition keeps all patients but restricts each patient’s observation window to the segment after they crossed the threshold; rx-days and total-days are summed over that adult segment only. The two definitions answer the same conceptual question with different exposure-misclassification properties.
The boundary-crossing table quantifies the magnitude of within-follow-up age transitions that fixed-age sensitivity ignores. The asymmetry between arms is the substantive feature: Medicaid patients cross both thresholds at roughly twice the Commercial rate.
| Threshold | Insurance | N | Always pediatric, n (%) | Crossed during follow-up, n (%) | Always adult, n (%) |
|---|---|---|---|---|---|
| Age 18 | Commercial | 24,068 | 5,624 (23.4%) | 1,937 (8.0%) | 16,507 (68.6%) |
| Age 18 | Medicaid | 24,692 | 7,857 (31.8%) | 4,055 (16.4%) | 12,780 (51.8%) |
| Age 26 | Commercial | 24,068 | 10,098 (42.0%) | 1,389 (5.8%) | 12,581 (52.3%) |
| Age 26 | Medicaid | 24,692 | 13,898 (56.3%) | 2,986 (12.1%) | 7,808 (31.6%) |
Median months on Any DMT among rx-exposed initiators, restricted to each age subset. Persistence at the median is similar across all subsets in both arms, with differentiation appearing in the upper tail rather than central tendency, mirroring the pattern in the primary analysis.
| Scenario | Insurance | N initiators | Median (Q1, Q3) months |
|---|---|---|---|
| Primary | Commercial | 6,157 | 2.92 (0.95, 5.91) |
| Primary | Medicaid | 6,500 | 2.17 (0.95, 5.06) |
| Trait excluded | Commercial | 5,398 | 2.92 (0.95, 5.82) |
| Trait excluded | Medicaid | 4,926 | 2.17 (0.95, 5.06) |
| Age >= 18 (fixed) | Commercial | 3,904 | 2.89 (0.95, 5.59) |
| Age >= 18 (fixed) | Medicaid | 2,715 | 1.91 (0.95, 3.71) |
| Age >= 26 (fixed) | Commercial | 2,686 | 2.92 (0.95, 6.01) |
| Age >= 26 (fixed) | Medicaid | 1,354 | 1.97 (0.95, 4.04) |
| Age >= 18 + trait excluded | Commercial | 3,385 | 2.86 (0.95, 5.39) |
| Age >= 18 + trait excluded | Medicaid | 1,904 | 1.94 (0.95, 3.78) |
The Medicaid-vs-Commercial rx-exposed PRR for Any DMT is robust to age restriction across both definitions and both thresholds. The combined adult-and-trait-excluded scenario tests the most aggressive joint sensitivity and yields a PRR in the same range as the primary. A final sensitivity excluding patients who are both trait-flagged and never DMT-exposed is appended for completeness, retaining only patients with no trait code or with independent treatment evidence of clinician diagnostic intent. This sensitivity is informative for the full-cohort PRR (because the cohort denominator changes by ~10,400 patients) but produces an rx-exposed PRR essentially identical to the existing trait-excluded sensitivity, since the rx-exposed conditioning already excludes the never-exposed patients dropped here. We present it as a downstream sensitivity rather than a redefined primary cohort because the exclusion criterion is partly on the outcome (treatment).
Figure: Medicaid-vs-Commercial coverage PRR (Any DMT, rx-exposed) across primary, trait-excluded, and age-restricted sensitivity definitions. The dashed vertical reference marks PRR = 1.0 (no Medicaid-versus-Commercial difference). Fixed-age scenarios restrict to patients aged 265 threshold at first SCD diagnosis; person-time-aware scenarios restrict each patient’s observation window to the post-threshold segment. The trait-flagged-untreated-excluded row is omitted from this figure because its rx-exposed estimate is identical to the trait-excluded row by construction; see the next subsection for the full-cohort framing of that cohort.
Poster-quality export of the sensitivity forest (WashU cardinal
palette, 300 dpi). File written to
forest_sensitivity_poster.png in the knit output directory.
Drop directly into the poster build script to replace the matplotlib
placeholder.
The rx-exposed PRR row above is near-identical to the trait-excluded sensitivity by construction. The full-cohort PRR is the more informative comparator since the new exclusion changes the denominator: the number of trait-flagged + never-exposed patients dropped is 10,451, leaving N = 38,309.
| Scenario | N | PRR (95% CI) | p | NB theta |
|---|---|---|---|---|
| Trait-flagged untreated excluded | 38,309 | 1.160 (1.158 to 1.162) | < 0.0001 | 1.2e+06 |
The full-cohort PRR point estimate rises across the three cumulative restriction definitions (1.02 primary, 1.08 trait excluded, 1.16 trait-flagged untreated excluded). This drift is descriptive rather than inferential: the primary full-cohort PRR is not distinguishable from parity (patient-clustered bootstrap 95% CI 0.967 to 1.072, includes unity), and the trait-excluded and further-restricted estimates were not bootstrapped, so none of the three supports a claim of a significant population-level Medicaid-Commercial difference. The upward drift is consistent with progressive removal of Medicaid-skewed-but-untreated patients changing the denominator more on the Medicaid side than on the Commercial side: trait-flagged patients are over-represented in the Medicaid arm (Medicaid has more pediatric-onset patients with longer observation windows during which trait codes can accumulate), and never-exposed trait-flagged patients are the most over-represented Medicaid subgroup. Read against the rx-exposed result, the population-level picture is best described as approximate parity at the primary cohort, with the restricted point estimates indicating only that the modest population-level direction is sensitive to which untreated patients remain in the denominator. The interval-supported finding is at the initiator level: Medicaid initiators spend a smaller fraction of follow-up on therapy than Commercial initiators (rx-exposed PRR 0.70).
Across all seven sensitivity scenarios, the rx-exposed PRR remains within a narrow band (0.67 to 0.74), with no scenario approaching unity. Adult-only restrictions at either threshold (18 or 26, fixed-age operationalization) yield PRRs of 0.67, materially lower than the 0.70 all-ages primary. This rules out the most likely reviewer concern that the headline gap is driven by Commercial pediatric persistence: when restricted to adults, the Medicaid-Commercial coverage gap is larger, not smaller. The person-time-aware operationalization yields slightly less extreme estimates (0.72 at 18, 0.68 at 26), consistent with the predicted misclassification direction in the fixed-age cut. The combined adult-and-trait-excluded scenario (0.69) and the trait-flagged-untreated-excluded scenario test the most aggressive joint sensitivities and remain consistent with the primary.
In parallel, the full-cohort PRR point estimate rises with progressive cohort restriction (1.02, 1.08, 1.16), but the primary estimate is not distinguishable from parity once the patient-clustered bootstrap interval is applied (0.967 to 1.072), and the restricted estimates carry no interval. The population-level Medicaid-Commercial picture is therefore best read as approximate parity rather than as a Medicaid initiation advantage; the apparent upward drift reflects which untreated patients remain in the denominator, not an interval-supported difference. The headline finding, that Medicaid initiators spend a meaningfully smaller fraction of their observation time on DMT than Commercial initiators, is preserved across every sensitivity definition (rx-exposed PRR 0.67 to 0.74).
The primary persistence analysis (Persistence on therapy, above) measures the longest uninterrupted Any-DMT episode anywhere in follow-up. The traditional ISPOR definition instead follows each initiator from the first DMT fill to the first discontinuation, where discontinuation is the first supply lapse exceeding the 7-day permissible gap, dated at the end of supply of the first continuous episode, and censors patients still covered at cohort exit. This is the more conservative construct: a patient who stops, then restarts and runs a longer second episode contributes the short first episode here but the long later one to the longest-run analysis, so the two definitions bound the persistence estimate. These curves are shown for demonstration; no log-rank test is reported.
| Stratum | Level | N | Discontinuations | Censored | Median months (IQR) |
|---|---|---|---|---|---|
| Overall | All | 12,657 | 11,910 | 747 | 0.95 (0.95 to 2.17) |
| Insurance | Commercial | 6,157 | 5,655 | 502 | 0.95 (0.95 to 2.92) |
| Insurance | Medicaid | 6,500 | 6,255 | 245 | 0.95 (0.95 to 1.97) |
| Age category | <18 | 6,038 | 5,691 | 347 | 0.95 (0.95 to 2.69) |
| Age category | 18-34 | 4,508 | 4,290 | 218 | 0.95 (0.95 to 1.87) |
| Age category | 35-54 | 1,827 | 1,673 | 154 | 0.95 (0.95 to 2.92) |
| Age category | 55+ | 284 | 256 | 28 | 1.84 (0.95 to 4.14) |
| Sex | Male | 6,219 | 5,834 | 385 | 0.95 (0.95 to 2.17) |
| Sex | Female | 6,438 | 6,076 | 362 | 0.95 (0.95 to 2.14) |
Overall
By insurance
By age category
By sex
| Month | N at risk | Events | Censored | Surv (%) | 95% CI (%) |
|---|---|---|---|---|---|
| 0 | 12657 | 14 | 7 | 99.9 | (99.8, 99.9) |
| 1 | 5151 | 7294 | 191 | 41.5 | (40.6, 42.3) |
| 2 | 3711 | 1315 | 125 | 30.7 | (29.9, 31.5) |
| 3 | 2232 | 1356 | 123 | 19.2 | (18.5, 20.0) |
| 4 | 1594 | 589 | 49 | 14.1 | (13.5, 14.7) |
| 5 | 1205 | 357 | 32 | 10.9 | (10.4, 11.5) |
| 6 | 896 | 278 | 31 | 8.4 | (7.9, 8.9) |
| 7 | 736 | 137 | 23 | 7.1 | (6.6, 7.6) |
| 8 | 601 | 114 | 21 | 6.0 | (5.5, 6.4) |
| 9 | 492 | 96 | 13 | 5.0 | (4.6, 5.4) |
| 10 | 407 | 74 | 11 | 4.2 | (3.9, 4.6) |
| 11 | 347 | 45 | 15 | 3.8 | (3.4, 4.1) |
| 12 | 274 | 52 | 21 | 3.2 | (2.9, 3.5) |
| 13 | 228 | 38 | 8 | 2.7 | (2.4, 3.1) |
| 14 | 197 | 26 | 5 | 2.4 | (2.1, 2.7) |
| 15 | 168 | 28 | 1 | 2.1 | (1.8, 2.4) |
| 16 | 148 | 17 | 3 | 1.9 | (1.6, 2.2) |
| 17 | 136 | 10 | 2 | 1.7 | (1.5, 2.0) |
| 18 | 121 | 11 | 4 | 1.6 | (1.4, 1.9) |
| 19 | 106 | 15 | 0 | 1.4 | (1.2, 1.7) |
| 20 | 95 | 11 | 0 | 1.2 | (1.0, 1.5) |
| 21 | 81 | 12 | 2 | 1.1 | (0.9, 1.3) |
| 22 | 72 | 8 | 1 | 1.0 | (0.8, 1.2) |
| 23 | 62 | 7 | 3 | 0.9 | (0.7, 1.1) |
| 24 | 52 | 6 | 4 | 0.8 | (0.6, 1.0) |
| 25 | 46 | 5 | 1 | 0.7 | (0.6, 0.9) |
| 26 | 44 | 2 | 0 | 0.7 | (0.5, 0.9) |
| 27 | 37 | 5 | 2 | 0.6 | (0.5, 0.8) |
| 28 | 34 | 3 | 0 | 0.6 | (0.4, 0.8) |
| 29 | 29 | 4 | 1 | 0.5 | (0.4, 0.7) |
| 30 | 25 | 3 | 1 | 0.4 | (0.3, 0.6) |
| 31 | 24 | 1 | 0 | 0.4 | (0.3, 0.6) |
| 32 | 20 | 4 | 0 | 0.4 | (0.2, 0.5) |
| 33 | 16 | 3 | 1 | 0.3 | (0.2, 0.5) |
| 34 | 15 | 1 | 0 | 0.3 | (0.2, 0.4) |
| 35 | 15 | 0 | 0 | 0.3 | (0.2, 0.4) |
| 36 | 15 | 0 | 0 | 0.3 | (0.2, 0.4) |
| 37 | 14 | 0 | 1 | 0.3 | (0.2, 0.4) |
| 38 | 14 | 0 | 0 | 0.3 | (0.2, 0.4) |
| 39 | 13 | 1 | 0 | 0.3 | (0.2, 0.4) |
| 40 | 13 | 0 | 0 | 0.3 | (0.2, 0.4) |
| 41 | 12 | 1 | 0 | 0.2 | (0.1, 0.4) |
| 42 | 11 | 1 | 0 | 0.2 | (0.1, 0.4) |
| 43 | 10 | 1 | 0 | 0.2 | (0.1, 0.4) |
| 44 | 9 | 0 | 1 | 0.2 | (0.1, 0.4) |
| 45 | 9 | 0 | 0 | 0.2 | (0.1, 0.4) |
| 46 | 9 | 0 | 0 | 0.2 | (0.1, 0.4) |
| 47 | 8 | 1 | 0 | 0.2 | (0.1, 0.3) |
| 48 | 5 | 3 | 0 | 0.1 | (0.0, 0.2) |
| Stratum | Month | N at risk | Events | Censored | Surv (%) | 95% CI (%) |
|---|---|---|---|---|---|---|
| Commercial | 0 | 6157 | 2 | 7 | 100.0 | (99.9, 100.0) |
| Commercial | 1 | 2784 | 3247 | 117 | 46.3 | (45.0, 47.5) |
| Commercial | 2 | 2128 | 568 | 88 | 36.6 | (35.4, 37.8) |
| Commercial | 3 | 1327 | 750 | 51 | 23.5 | (22.4, 24.6) |
| Commercial | 4 | 962 | 325 | 40 | 17.6 | (16.7, 18.6) |
| Commercial | 5 | 741 | 195 | 26 | 14.0 | (13.1, 14.9) |
| Commercial | 6 | 548 | 171 | 22 | 10.7 | (9.9, 11.6) |
| Commercial | 7 | 457 | 69 | 22 | 9.3 | (8.6, 10.1) |
| Commercial | 8 | 371 | 67 | 19 | 8.0 | (7.3, 8.7) |
| Commercial | 9 | 304 | 55 | 12 | 6.8 | (6.1, 7.5) |
| Commercial | 10 | 250 | 46 | 8 | 5.7 | (5.1, 6.4) |
| Commercial | 11 | 209 | 26 | 15 | 5.1 | (4.5, 5.8) |
| Commercial | 12 | 159 | 31 | 19 | 4.3 | (3.8, 4.9) |
| Commercial | 13 | 130 | 25 | 4 | 3.6 | (3.1, 4.2) |
| Commercial | 14 | 111 | 15 | 4 | 3.2 | (2.7, 3.8) |
| Commercial | 15 | 97 | 13 | 1 | 2.8 | (2.4, 3.4) |
| Commercial | 16 | 88 | 6 | 3 | 2.6 | (2.2, 3.2) |
| Commercial | 17 | 79 | 7 | 2 | 2.4 | (2.0, 3.0) |
| Commercial | 18 | 72 | 4 | 3 | 2.3 | (1.9, 2.8) |
| Commercial | 19 | 63 | 9 | 0 | 2.0 | (1.6, 2.5) |
| Commercial | 20 | 57 | 6 | 0 | 1.8 | (1.4, 2.3) |
| Commercial | 21 | 48 | 7 | 2 | 1.6 | (1.2, 2.1) |
| Commercial | 22 | 42 | 5 | 1 | 1.4 | (1.1, 1.9) |
| Commercial | 23 | 36 | 3 | 3 | 1.3 | (1.0, 1.8) |
| Commercial | 24 | 29 | 3 | 4 | 1.2 | (0.9, 1.6) |
| Commercial | 25 | 25 | 3 | 1 | 1.1 | (0.8, 1.5) |
| Commercial | 26 | 25 | 0 | 0 | 1.1 | (0.8, 1.5) |
| Commercial | 27 | 21 | 2 | 2 | 1.0 | (0.7, 1.4) |
| Commercial | 28 | 20 | 1 | 0 | 0.9 | (0.7, 1.4) |
| Commercial | 29 | 17 | 2 | 1 | 0.8 | (0.6, 1.3) |
| Commercial | 30 | 14 | 2 | 1 | 0.7 | (0.5, 1.1) |
| Commercial | 31 | 13 | 1 | 0 | 0.7 | (0.4, 1.1) |
| Commercial | 32 | 9 | 4 | 0 | 0.5 | (0.3, 0.9) |
| Commercial | 33 | 5 | 3 | 1 | 0.3 | (0.1, 0.7) |
| Commercial | 34 | 5 | 0 | 0 | 0.3 | (0.1, 0.7) |
| Commercial | 35 | 5 | 0 | 0 | 0.3 | (0.1, 0.7) |
| Commercial | 36 | 5 | 0 | 0 | 0.3 | (0.1, 0.7) |
| Commercial | 37 | 5 | 0 | 0 | 0.3 | (0.1, 0.7) |
| Commercial | 38 | 5 | 0 | 0 | 0.3 | (0.1, 0.7) |
| Commercial | 39 | 4 | 1 | 0 | 0.2 | (0.1, 0.6) |
| Commercial | 40 | 4 | 0 | 0 | 0.2 | (0.1, 0.6) |
| Commercial | 41 | 4 | 0 | 0 | 0.2 | (0.1, 0.6) |
| Commercial | 42 | 4 | 0 | 0 | 0.2 | (0.1, 0.6) |
| Commercial | 43 | 4 | 0 | 0 | 0.2 | (0.1, 0.6) |
| Commercial | 44 | 3 | 0 | 1 | 0.2 | (0.1, 0.6) |
| Commercial | 45 | 3 | 0 | 0 | 0.2 | (0.1, 0.6) |
| Commercial | 46 | 3 | 0 | 0 | 0.2 | (0.1, 0.6) |
| Commercial | 47 | 3 | 0 | 0 | 0.2 | (0.1, 0.6) |
| Commercial | 48 | 2 | 1 | 0 | 0.2 | (0.0, 0.5) |
| Medicaid | 0 | 6500 | 12 | 0 | 99.8 | (99.7, 99.9) |
| Medicaid | 1 | 2367 | 4047 | 74 | 37.0 | (35.8, 38.1) |
| Medicaid | 2 | 1583 | 747 | 37 | 25.2 | (24.1, 26.2) |
| Medicaid | 3 | 905 | 606 | 72 | 15.3 | (14.4, 16.2) |
| Medicaid | 4 | 632 | 264 | 9 | 10.8 | (10.1, 11.6) |
| Medicaid | 5 | 464 | 162 | 6 | 8.0 | (7.4, 8.8) |
| Medicaid | 6 | 348 | 107 | 9 | 6.2 | (5.6, 6.8) |
| Medicaid | 7 | 279 | 68 | 1 | 5.0 | (4.4, 5.5) |
| Medicaid | 8 | 230 | 47 | 2 | 4.1 | (3.6, 4.7) |
| Medicaid | 9 | 188 | 41 | 1 | 3.4 | (2.9, 3.9) |
| Medicaid | 10 | 157 | 28 | 3 | 2.9 | (2.5, 3.3) |
| Medicaid | 11 | 138 | 19 | 0 | 2.5 | (2.2, 3.0) |
| Medicaid | 12 | 115 | 21 | 2 | 2.1 | (1.8, 2.6) |
| Medicaid | 13 | 98 | 13 | 4 | 1.9 | (1.6, 2.3) |
| Medicaid | 14 | 86 | 11 | 1 | 1.7 | (1.4, 2.1) |
| Medicaid | 15 | 71 | 15 | 0 | 1.4 | (1.1, 1.7) |
| Medicaid | 16 | 60 | 11 | 0 | 1.2 | (0.9, 1.5) |
| Medicaid | 17 | 57 | 3 | 0 | 1.1 | (0.9, 1.4) |
| Medicaid | 18 | 49 | 7 | 1 | 1.0 | (0.7, 1.3) |
| Medicaid | 19 | 43 | 6 | 0 | 0.9 | (0.6, 1.1) |
| Medicaid | 20 | 38 | 5 | 0 | 0.8 | (0.6, 1.0) |
| Medicaid | 21 | 33 | 5 | 0 | 0.7 | (0.5, 0.9) |
| Medicaid | 22 | 30 | 3 | 0 | 0.6 | (0.4, 0.8) |
| Medicaid | 23 | 26 | 4 | 0 | 0.5 | (0.4, 0.8) |
| Medicaid | 24 | 23 | 3 | 0 | 0.5 | (0.3, 0.7) |
| Medicaid | 25 | 21 | 2 | 0 | 0.4 | (0.3, 0.6) |
| Medicaid | 26 | 19 | 2 | 0 | 0.4 | (0.2, 0.6) |
| Medicaid | 27 | 16 | 3 | 0 | 0.3 | (0.2, 0.5) |
| Medicaid | 28 | 14 | 2 | 0 | 0.3 | (0.2, 0.5) |
| Medicaid | 29 | 12 | 2 | 0 | 0.2 | (0.1, 0.4) |
| Medicaid | 30 | 11 | 1 | 0 | 0.2 | (0.1, 0.4) |
| Medicaid | 31 | 11 | 0 | 0 | 0.2 | (0.1, 0.4) |
| Medicaid | 32 | 11 | 0 | 0 | 0.2 | (0.1, 0.4) |
| Medicaid | 33 | 11 | 0 | 0 | 0.2 | (0.1, 0.4) |
| Medicaid | 34 | 10 | 1 | 0 | 0.2 | (0.1, 0.4) |
| Medicaid | 35 | 10 | 0 | 0 | 0.2 | (0.1, 0.4) |
| Medicaid | 36 | 10 | 0 | 0 | 0.2 | (0.1, 0.4) |
| Medicaid | 37 | 9 | 0 | 1 | 0.2 | (0.1, 0.4) |
| Medicaid | 38 | 9 | 0 | 0 | 0.2 | (0.1, 0.4) |
| Medicaid | 39 | 9 | 0 | 0 | 0.2 | (0.1, 0.4) |
| Medicaid | 40 | 9 | 0 | 0 | 0.2 | (0.1, 0.4) |
| Medicaid | 41 | 8 | 1 | 0 | 0.2 | (0.1, 0.3) |
| Medicaid | 42 | 7 | 1 | 0 | 0.2 | (0.1, 0.3) |
| Medicaid | 43 | 6 | 1 | 0 | 0.1 | (0.1, 0.3) |
| Medicaid | 44 | 6 | 0 | 0 | 0.1 | (0.1, 0.3) |
| Medicaid | 45 | 6 | 0 | 0 | 0.1 | (0.1, 0.3) |
| Medicaid | 46 | 6 | 0 | 0 | 0.1 | (0.1, 0.3) |
| Medicaid | 47 | 5 | 1 | 0 | 0.1 | (0.0, 0.3) |
| Medicaid | 48 | 3 | 2 | 0 | 0.1 | (0.0, 0.2) |
The primary persistence and coverage analyses define a continuous-exposure episode as the union of fills whose pairwise svcdate-to-prior-end gap is at most seven days. This 7-day tolerance aligns with ISPOR good-practice guidance and accommodates normal refill timing, mail-order delays, and brief dose-titration pauses. Two bracketing sensitivities are reported here. The 1-day tolerance is the strictest convention found in claims-based DMT-persistence literature: any refill delay beyond 24 hours splits an episode. It is the upstream pre-collapsed table’s stitching rule and serves as both an orchestration sanity check and the conservative lower bracket for episode duration. The 30-day tolerance is the most permissive convention in standard use, covering 28-day and monthly fill cadences, and provides the strongest test that the primary persistence and PRR estimates are not artifacts of stitching choice. If the headline finding (Medicaid initiators spend approximately 30% fewer person-days on therapy than Commercial initiators) were stitching-dependent, the rx-exposed PRR would attenuate substantially toward unity at 30 days.
This sensitivity re-collapses raw fills directly from the upstream pharmacy claims tables at all three tolerances (1, 7, 30 days), with the 7-day pipeline serving as the primary throughout the report.
| Gap tolerance | Role | Insurance | N initiators | Median months (Q1, Q3) | 12-mo % (95% CI) |
|---|---|---|---|---|---|
| ≤ 7 days | primary | Commercial | 6157 | 2.92 (0.95, 5.91) | 13.9% (13.0, 15.0) |
| ≤ 7 days | primary | Medicaid | 6500 | 2.17 (0.95, 5.06) | 9.8% (9.1, 10.6) |
| ≤ 1 day | strict sensitivity | Commercial | 6157 | 1.97 (0.95, 3.78) | 4.4% (3.9, 5.1) |
| ≤ 1 day | strict sensitivity | Medicaid | 6500 | 1.91 (0.95, 3.12) | 2.4% (2.0, 2.9) |
| ≤ 30 days | permissive sensitivity | Commercial | 6157 | 4.96 (2.07, 11.50) | 34.6% (33.4, 35.9) |
| ≤ 30 days | permissive sensitivity | Medicaid | 6500 | 4.37 (1.87, 11.56) | 28.1% (26.9, 29.2) |
| Gap tolerance | Role | Framing | N | PRR (95% CI) | p | NB theta |
|---|---|---|---|---|---|---|
| ≤ 7 days | primary | Full cohort | 48,760 | 1.017 (1.016, 1.019) | < 0.0001 | 1.01e+06 |
| ≤ 7 days | primary | Rx-exposed | 12,657 | 0.702 (0.678, 0.725) | < 0.0001 | 1.09 |
| ≤ 1 day | strict sensitivity | Full cohort | 48,760 | 1.016 (1.014, 1.017) | < 0.0001 | 9.9e+05 |
| ≤ 1 day | strict sensitivity | Rx-exposed | 12,657 | 0.700 (0.677, 0.724) | < 0.0001 | 1.1 |
| ≤ 30 days | permissive sensitivity | Full cohort | 48,760 | 1.037 (1.036, 1.039) | < 0.0001 | 1.1e+06 |
| ≤ 30 days | permissive sensitivity | Rx-exposed | 12,657 | 0.717 (0.693, 0.741) | < 0.0001 | 1.05 |
This figure isolates the cascade-level question that the §9 milestone tables address only at the primary tolerance: how many patients reach successively longer continuous Any-DMT exposure thresholds, and how does that count shift as the stitching rule moves from strict (1 d) to primary (7 d) to permissive (30 d)? Five duration thresholds are shown (30, 60, 90, 180, 365 days). The top row uses the full SCD cohort denominator (N = 48,760), so percentages are population-level. The bottom row uses the rx-exposed initiator denominator and gives the conditional-on-initiation persistence picture.
| Framing | Gap tolerance | Threshold (d) | Insurance | n / N | % |
|---|---|---|---|---|---|
| Full cohort | ≤ 1 d | 30 | Commercial | 4,183 / 24,068 | 17.38% |
| Full cohort | ≤ 1 d | 30 | Medicaid | 4,335 / 24,692 | 17.56% |
| Full cohort | ≤ 1 d | 60 | Commercial | 3,152 / 24,068 | 13.10% |
| Full cohort | ≤ 1 d | 60 | Medicaid | 2,909 / 24,692 | 11.78% |
| Full cohort | ≤ 1 d | 90 | Commercial | 1,963 / 24,068 | 8.16% |
| Full cohort | ≤ 1 d | 90 | Medicaid | 1,723 / 24,692 | 6.98% |
| Full cohort | ≤ 1 d | 180 | Commercial | 738 / 24,068 | 3.07% |
| Full cohort | ≤ 1 d | 180 | Medicaid | 599 / 24,692 | 2.43% |
| Full cohort | ≤ 1 d | 365 | Commercial | 150 / 24,068 | 0.62% |
| Full cohort | ≤ 1 d | 365 | Medicaid | 116 / 24,692 | 0.47% |
| Full cohort | ≤ 7 d | 30 | Commercial | 4,492 / 24,068 | 18.66% |
| Full cohort | ≤ 7 d | 30 | Medicaid | 4,653 / 24,692 | 18.84% |
| Full cohort | ≤ 7 d | 60 | Commercial | 3,978 / 24,068 | 16.53% |
| Full cohort | ≤ 7 d | 60 | Medicaid | 3,916 / 24,692 | 15.86% |
| Full cohort | ≤ 7 d | 90 | Commercial | 2,926 / 24,068 | 12.16% |
| Full cohort | ≤ 7 d | 90 | Medicaid | 2,759 / 24,692 | 11.17% |
| Full cohort | ≤ 7 d | 180 | Commercial | 1,555 / 24,068 | 6.46% |
| Full cohort | ≤ 7 d | 180 | Medicaid | 1,391 / 24,692 | 5.63% |
| Full cohort | ≤ 7 d | 365 | Commercial | 531 / 24,068 | 2.21% |
| Full cohort | ≤ 7 d | 365 | Medicaid | 519 / 24,692 | 2.10% |
| Full cohort | ≤ 30 d | 30 | Commercial | 4,925 / 24,068 | 20.46% |
| Full cohort | ≤ 30 d | 30 | Medicaid | 5,121 / 24,692 | 20.74% |
| Full cohort | ≤ 30 d | 60 | Commercial | 4,697 / 24,068 | 19.52% |
| Full cohort | ≤ 30 d | 60 | Medicaid | 4,801 / 24,692 | 19.44% |
| Full cohort | ≤ 30 d | 90 | Commercial | 3,881 / 24,068 | 16.13% |
| Full cohort | ≤ 30 d | 90 | Medicaid | 3,903 / 24,692 | 15.81% |
| Full cohort | ≤ 30 d | 180 | Commercial | 2,729 / 24,068 | 11.34% |
| Full cohort | ≤ 30 d | 180 | Medicaid | 2,714 / 24,692 | 10.99% |
| Full cohort | ≤ 30 d | 365 | Commercial | 1,471 / 24,068 | 6.11% |
| Full cohort | ≤ 30 d | 365 | Medicaid | 1,578 / 24,692 | 6.39% |
| Rx-exposed initiators | ≤ 1 d | 30 | Commercial | 4,183 / 6,157 | 67.94% |
| Rx-exposed initiators | ≤ 1 d | 30 | Medicaid | 4,335 / 6,500 | 66.69% |
| Rx-exposed initiators | ≤ 1 d | 60 | Commercial | 3,152 / 6,157 | 51.19% |
| Rx-exposed initiators | ≤ 1 d | 60 | Medicaid | 2,909 / 6,500 | 44.75% |
| Rx-exposed initiators | ≤ 1 d | 90 | Commercial | 1,963 / 6,157 | 31.88% |
| Rx-exposed initiators | ≤ 1 d | 90 | Medicaid | 1,723 / 6,500 | 26.51% |
| Rx-exposed initiators | ≤ 1 d | 180 | Commercial | 738 / 6,157 | 11.99% |
| Rx-exposed initiators | ≤ 1 d | 180 | Medicaid | 599 / 6,500 | 9.22% |
| Rx-exposed initiators | ≤ 1 d | 365 | Commercial | 150 / 6,157 | 2.44% |
| Rx-exposed initiators | ≤ 1 d | 365 | Medicaid | 116 / 6,500 | 1.78% |
| Rx-exposed initiators | ≤ 7 d | 30 | Commercial | 4,492 / 6,157 | 72.96% |
| Rx-exposed initiators | ≤ 7 d | 30 | Medicaid | 4,653 / 6,500 | 71.58% |
| Rx-exposed initiators | ≤ 7 d | 60 | Commercial | 3,978 / 6,157 | 64.61% |
| Rx-exposed initiators | ≤ 7 d | 60 | Medicaid | 3,916 / 6,500 | 60.25% |
| Rx-exposed initiators | ≤ 7 d | 90 | Commercial | 2,926 / 6,157 | 47.52% |
| Rx-exposed initiators | ≤ 7 d | 90 | Medicaid | 2,759 / 6,500 | 42.45% |
| Rx-exposed initiators | ≤ 7 d | 180 | Commercial | 1,555 / 6,157 | 25.26% |
| Rx-exposed initiators | ≤ 7 d | 180 | Medicaid | 1,391 / 6,500 | 21.40% |
| Rx-exposed initiators | ≤ 7 d | 365 | Commercial | 531 / 6,157 | 8.62% |
| Rx-exposed initiators | ≤ 7 d | 365 | Medicaid | 519 / 6,500 | 7.98% |
| Rx-exposed initiators | ≤ 30 d | 30 | Commercial | 4,925 / 6,157 | 79.99% |
| Rx-exposed initiators | ≤ 30 d | 30 | Medicaid | 5,121 / 6,500 | 78.78% |
| Rx-exposed initiators | ≤ 30 d | 60 | Commercial | 4,697 / 6,157 | 76.29% |
| Rx-exposed initiators | ≤ 30 d | 60 | Medicaid | 4,801 / 6,500 | 73.86% |
| Rx-exposed initiators | ≤ 30 d | 90 | Commercial | 3,881 / 6,157 | 63.03% |
| Rx-exposed initiators | ≤ 30 d | 90 | Medicaid | 3,903 / 6,500 | 60.05% |
| Rx-exposed initiators | ≤ 30 d | 180 | Commercial | 2,729 / 6,157 | 44.32% |
| Rx-exposed initiators | ≤ 30 d | 180 | Medicaid | 2,714 / 6,500 | 41.75% |
| Rx-exposed initiators | ≤ 30 d | 365 | Commercial | 1,471 / 6,157 | 23.89% |
| Rx-exposed initiators | ≤ 30 d | 365 | Medicaid | 1,578 / 6,500 | 24.28% |
The 1-day reconstruction reproduces the upstream pre-collapsed table within rounding, confirming the orchestration. The primary 7-day estimates, which drive every persistence and PRR result reported elsewhere in this report, sit between the 1-day and 30-day brackets as expected. Across the full tolerance range, the rx-exposed PRR for Any DMT moves only modestly. If the headline finding (Medicaid initiators spend approximately 30% fewer person-days on therapy than Commercial initiators) were an artifact of the stitching rule, the PRR would attenuate substantially toward unity at 30 days; it does not.
The cascade-sensitivity figure surfaces a related but distinct point. Median time on therapy and the 12-month KM landmark both increase substantially with tolerance (the 12-month landmark moves roughly an order of magnitude from the 1-day to 30-day extreme), so absolute cascade percentages at the long-duration thresholds (180 and 365 days) are highly tolerance-dependent. The Commercial-over-Medicaid ranking, however, is preserved across every threshold and every tolerance and in both denominator framings. The Medicaid-Commercial coverage gap is therefore not a creature of the stitching convention; it is the absolute persistence levels, not the gap, that depend on how an episode is defined.
## R version 4.5.3 (2026-03-11 ucrt)
## Platform: x86_64-w64-mingw32/x64
## Running under: Windows 11 x64 (build 26200)
##
## Matrix products: default
## LAPACK version 3.12.1
##
## locale:
## [1] LC_COLLATE=English_United States.utf8
## [2] LC_CTYPE=English_United States.utf8
## [3] LC_MONETARY=English_United States.utf8
## [4] LC_NUMERIC=C
## [5] LC_TIME=English_United States.utf8
##
## time zone: America/Chicago
## tzcode source: internal
##
## attached base packages:
## [1] stats graphics grDevices utils datasets methods base
##
## other attached packages:
## [1] patchwork_1.3.2 kableExtra_1.4.0 knitr_1.51 broom_1.0.12
## [5] janitor_2.2.1 survminer_0.5.2 ggpubr_0.6.3 survival_3.8-6
## [9] gtsummary_2.5.0 lubridate_1.9.5 forcats_1.0.1 stringr_1.6.0
## [13] dplyr_1.2.1 purrr_1.2.2 readr_2.2.0 tidyr_1.3.2
## [17] tibble_3.3.1 ggplot2_4.0.3 tidyverse_2.0.0
##
## loaded via a namespace (and not attached):
## [1] tidyselect_1.2.1 viridisLite_0.4.3 farver_2.1.2 S7_0.2.2
## [5] fastmap_1.2.0 digest_0.6.39 timechange_0.4.0 lifecycle_1.0.5
## [9] magrittr_2.0.5 compiler_4.5.3 rlang_1.2.0 sass_0.4.10
## [13] tools_4.5.3 yaml_2.3.12 gt_1.3.0 ggsignif_0.6.4
## [17] labeling_0.4.3 bit_4.6.0 xml2_1.5.2 RColorBrewer_1.1-3
## [21] abind_1.4-8 withr_3.0.2 grid_4.5.3 scales_1.4.0
## [25] MASS_7.3-65 cli_3.6.6 rmarkdown_2.31 crayon_1.5.3
## [29] ragg_1.5.2 generics_0.1.4 otel_0.2.0 rstudioapi_0.18.0
## [33] tzdb_0.5.0 commonmark_2.0.0 cachem_1.1.0 splines_4.5.3
## [37] parallel_4.5.3 vctrs_0.7.3 Matrix_1.7-4 jsonlite_2.0.0
## [41] carData_3.0-6 car_3.1-5 litedown_0.9 hms_1.1.4
## [45] bit64_4.8.0 rstatix_0.7.3 Formula_1.2-5 systemfonts_1.3.2
## [49] jquerylib_0.1.4 glue_1.8.1 codetools_0.2-20 ggtext_0.1.2
## [53] stringi_1.8.7 gtable_0.3.6 pillar_1.11.1 htmltools_0.5.9
## [57] R6_2.6.1 textshaping_1.0.5 vroom_1.7.1 evaluate_1.0.5
## [61] lattice_0.22-9 markdown_2.0 backports_1.5.1 cards_0.7.1
## [65] gridtext_0.1.6 snakecase_0.11.1 bslib_0.10.0 Rcpp_1.1.1-1
## [69] cardx_0.3.2 svglite_2.2.2 gridExtra_2.3 xfun_0.57
## [73] fs_2.1.0 pkgconfig_2.0.3