1 Executive summary

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.

2 Methods

2.1 Cohort

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.

2.1.1 Trait flag as QC sentinel

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.

2.2 Persistence

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.

2.3 Cumulative coverage ratio

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.


3 Results

4 Cohort derivation audit

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.

4.1 Cohort flow

Cohort derivation steps with counts and rationale.
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.

4.2 Patient uniqueness in the index file

One-row-per-patient assertion in the MarketScan index file.
Rows in idx_raw Distinct enrolids One row per patient?
48,760 48,760 Yes

4.3 Cross-database enrolid overlap (Commercial vs Medicaid)

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.

Cross-database enrolid overlap between Commercial and Multi-State Medicaid source files.
Comparison N enrolids in both
idx_raw: Commercial vs Medicaid 0
comm_fills vs mcaid_fills 0
comm_coll vs mcaid_coll 0

4.4 dx_trait flag distribution and exclusion deltas

Frequency of dx_trait across the full index file. NA values are retained in the trait-influence sensitivity cohort by the filter(dx_trait == 1) semantics.
dx_trait value N Pct of idx_raw
0 35976 73.78%
1 12784 26.22%
Counts before and after the trait-influence sensitivity exclusion across all four downstream datasets.
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%

5 Cohort description

5.1 Table 1a. Full SCD cohort

Demographic characteristics, full SCD cohort, by insurance.
Characteristic Overall
N = 48,760
1
Commercial
N = 24,068
1
Medicaid
N = 24,692
1
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

5.2 Table 1b. DMT-exposed subset

Demographic characteristics, DMT-exposed subset, by insurance.
Characteristic Overall
N = 12,671
1
Commercial
N = 6,158
1
Medicaid
N = 6,513
1
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

6 Enrollment length

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.

6.1 Full SCD cohort

Enrollment length in months, full SCD cohort.
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

6.2 DMT-exposed subset

Enrollment length in months, DMT-exposed subset.
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

7 Elixhauser comorbidities

7.1 Table 2a. Full SCD cohort

Elixhauser comorbidity prevalence, full cohort, by insurance.
Characteristic Commercial
N = 24,068
1
Medicaid
N = 24,692
1
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

7.2 Table 2b. DMT-exposed subset

*Note: elix\_mets, elix\_neuromvt, and elix\_ulcer have zero variation in the DMT-exposed subset and are omitted.*

Elixhauser comorbidity prevalence, DMT-exposed subset, by insurance.
Characteristic Commercial
N = 6,158
1
Medicaid
N = 6,513
1
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

8 DMT utilization

8.1 Table 3a. Patient-level DMT exposure

Patient-level DMT exposure and overall fill count, by insurance.
Characteristic Commercial
N = 6,158
1
Medicaid
N = 6,513
1
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

8.2 Table 3b. Per-agent exposure rates (2x2 chi-square against full cohort)

Per-agent exposure by insurance, full SCD cohort denominators. Chi-square is a 2x2 test of ever-exposure against insurance arm.
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

8.3 Table 3c. Fills per patient

Fills per patient per DMT, by insurance.
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
Wilcoxon rank-sum comparison of per-patient fill counts, Medicaid vs Commercial.
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

9 Persistence milestones (consecutive exposure thresholds)

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.

9.1 Hydroxyurea

Hydroxyurea: fraction of SCD cohort reaching exposure thresholds.
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%)

9.2 L-glutamine

L-glutamine: fraction of SCD cohort reaching exposure thresholds.
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%)

9.3 Crizanlizumab

Crizanlizumab: fraction of SCD cohort reaching exposure thresholds. Small-n cells have imprecise rates; interpret with caution.
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%)

9.4 Voxelotor

Voxelotor: fraction of SCD cohort reaching exposure thresholds.
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%)

9.5 Any DMT

Any DMT (pooled across all four agents): fraction of SCD cohort reaching exposure thresholds. A patient’s longest run spans any DMT episode, so agent switches within a continuous run count toward the threshold.
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%)

9.6 Any DMT cascade figures

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.

10 Persistence on therapy

10.1 Descriptive summary

Longest-run persistence by drug and stratum. Medians shown with Q1/Q3 of duration in months.
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

10.2 Log-rank tests

Log-rank comparisons of longest-run persistence by insurance, age category, and sex.
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

10.3 Kaplan-Meier curves

10.3.1 Hydroxyurea

Hydroxyurea: overall persistence (pooled).

Hydroxyurea: overall persistence (pooled).

Hydroxyurea persistence by insurance.

Hydroxyurea persistence by insurance.

Hydroxyurea persistence by age category.

Hydroxyurea persistence by age category.

Hydroxyurea persistence by sex.

Hydroxyurea persistence by sex.

10.3.2 L-glutamine

L-glutamine: overall persistence.

L-glutamine: overall persistence.

L-glutamine persistence by insurance.

L-glutamine persistence by insurance.

L-glutamine persistence by age category.

L-glutamine persistence by age category.

L-glutamine persistence by sex.

L-glutamine persistence by sex.

10.3.3 Crizanlizumab

Note: n = 34 (12 commercial, 22 Medicaid). Stratified KM estimates are too imprecise to plot; only the overall curve is shown.

Crizanlizumab: overall persistence.

Crizanlizumab: overall persistence.

10.3.4 Voxelotor

Voxelotor: overall persistence.

Voxelotor: overall persistence.

Voxelotor persistence by insurance.

Voxelotor persistence by insurance.

Voxelotor persistence by age category.

Voxelotor persistence by age category.

Voxelotor persistence by sex.

Voxelotor persistence by sex.

10.3.5 Any DMT

Any DMT: overall persistence (pooled across all four agents).

Any DMT: overall persistence (pooled across all four agents).

Any DMT persistence by insurance.

Any DMT persistence by insurance.

Any DMT persistence by age category.

Any DMT persistence by age category.

Any DMT persistence by sex.

Any DMT persistence by sex.

11 Life tables (month-by-month)

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.

11.1 Hydroxyurea

Overall

Hydroxyurea: overall life table.
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

Hydroxyurea: life table 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

Hydroxyurea: life table 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

Hydroxyurea: life table 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)

11.2 L-glutamine

Overall

L-glutamine: overall life table.
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

L-glutamine: life table 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

L-glutamine: life table 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

L-glutamine: life table 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)

11.3 Crizanlizumab

Only overall life table shown given small n (= 34).

Overall

Crizanlizumab: overall life table.
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)

11.4 Voxelotor

Overall

Voxelotor: overall life table.
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

Voxelotor: life table 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

Voxelotor: life table 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

Voxelotor: life table 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)

11.5 Any DMT

Overall

Any DMT: overall life table.
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

Any DMT: life table 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

Any DMT: life table 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

Any DMT: life table 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)

12 Absolute DMT coverage prevalence

12.1 Person-time-weighted coverage rate

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).

Absolute Any-DMT coverage rate (covered days per person-day), full SCD cohort, overall and by age, sex, and insurance. The full cohort includes never-initiators (coverage 0), so this is the population-level fraction of SCD observation time spent on disease-modifying therapy. 95% CI: patient-clustered bootstrap, B = 2000.
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)
Absolute Any-DMT coverage rate (covered days per person-day) among DMT-exposed initiators (at least one covered day), overall and by age, sex, and insurance. 95% CI: patient-clustered bootstrap, B = 2000.
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)

12.2 Per-agent absolute coverage prevalence

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
Per-agent absolute coverage prevalence (covered days per person-day, full SCD cohort, population-level), overall and by insurance arm, with the Medicaid-vs-Commercial full-cohort prevalence rate ratio. 95% CI: patient-clustered bootstrap (B = 2000, seed = 42). PRR by negative binomial regression with a log(observable days) offset.
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

12.3 Coverage cascade (coverage-survival curve)

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.

Coverage cascade at each decile: percentage of patients whose Any-DMT proportion of days covered is at least c, overall and by insurance, in both denominator framings. Companion to the coverage-survival figure.
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%

13 DMT coverage: prevalence rate ratios (PRR)

13.1 Descriptive summary (all drugs, Any DMT + each agent)

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.

Per-patient and aggregate DMT coverage ratios by insurance, all drugs and cohorts.
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

13.2 PRR: Medicaid vs Commercial by drug

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.

Medicaid-vs-Commercial prevalence rate ratios for DMT person-days, by drug and cohort. Large NB theta (>> 100) indicates the data are effectively Poisson-distributed at the given scale; small theta (< 2) indicates substantial overdispersion where NB meaningfully improves on Poisson.
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

13.3 PRR: patient-clustered bootstrap intervals (any-DMT and hydroxyurea)

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.

Medicaid-vs-Commercial coverage PRR with patient-clustered bootstrap 95% CIs (B = 2000, percentile): any-DMT primary framings and hydroxyurea full-cohort (the cells at the Poisson limit). Point estimate from the full-sample NB fit; model-based CI shown for comparison. The three newer agents retain model-based NB CIs in the per-agent table above.
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

13.4 Coverage PRR: subgroup analysis (age, sex)

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.

Medicaid-vs-Commercial coverage PRR (Any DMT, rx-exposed) within demographic subgroups. Each row is an independent NB regression on the rx-exposed PDC dataset restricted to that subgroup; insurance is the sole predictor with log(total_days) offset. N = rx-exposed initiators in each subgroup. 95% CIs are patient-clustered bootstraps (B = 2000, percentile).
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.


14 Trait-flag QC: cross-tabulation of dx_trait against DMT exposure

All 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.

14.1 Per-drug exposure rates by trait flag and insurance arm

DMT exposure rates by trait flag and insurance arm. Denominators are stratum-specific (e.g., trait-flagged patients in Commercial). NA rows reflect patients for whom dx_trait was missing in the index file.
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%

14.2 Overall (pooled across insurance) exposure rates by trait flag

DMT exposure rates by trait flag, pooled across insurance arms.
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%

14.3 Chi-square: trait-flagged vs not-trait-flagged exposure within arm

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).

Two-by-two chi-square comparing DMT exposure rates between trait-flagged and not-trait-flagged patients within each insurance arm and pooled.
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

15 Sensitivity analysis: trait-influence subcohort

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.

15.1 Table 1b, sensitivity

Demographic characteristics, DMT-exposed subset, trait-flagged patients excluded.
Characteristic Overall
N = 10,336
1
Commercial
N = 5,399
1
Medicaid
N = 4,937
1
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

15.2 Log-rank comparison: primary vs sensitivity

Log-rank p-values, primary vs sensitivity.
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

15.3 Coverage PRR: primary vs sensitivity (all drugs)

Medicaid vs Commercial coverage PRR, primary vs sensitivity, all drugs.
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

16 Sensitivity analysis: age subset

16.1 Rationale

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.

16.2 Boundary crossings

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.

Boundary-crossing rates at age 18 and age 26 by insurance arm. Patients who crossed during follow-up are the ambiguity that distinguishes the fixed-age and person-time-aware definitions.
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%)

16.3 Persistence summary across age subsets

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.

Any DMT persistence by insurance across age subsets. Median months on therapy is the longest continuous merged episode per rx-exposed initiator.
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)

16.4 Coverage PRR: consolidated sensitivity table

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.

16.5 Trait-flagged-untreated-excluded cohort: full-cohort PRR

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.

Trait-flagged-untreated-excluded cohort sensitivity, full-cohort coverage PRR (Any DMT). For comparison, the primary full-cohort PRR is 1.02 and the trait-excluded full-cohort PRR is 1.08.
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).

16.6 Interpretation

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).


17 Sensitivity analysis: time to first discontinuation (ISPOR persistence)

17.1 Rationale

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.

ISPOR first-episode persistence: time from first Any-DMT fill to first >7-day supply lapse, censored at cohort exit. Median months on therapy with interquartile range; events are observed discontinuations, censored patients remained covered through end of follow-up.
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)

17.2 Kaplan-Meier curves (first fill to first discontinuation)

Overall

By insurance

By age category

By sex

17.3 Life table (raw, un-truncated follow-up)

ISPOR persistence: overall life table (raw follow-up).
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)
ISPOR persistence: life table by insurance (raw follow-up).
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)

18 Sensitivity analysis: gap-tolerance definition of continuous exposure

18.1 Rationale

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.

18.2 Persistence summary across gap tolerances

Any DMT persistence by insurance arm across three gap tolerances (Role column: primary 7-day vs 1-day strict and 30-day permissive sensitivities). Median months on therapy is the longest continuous merged episode per rx-exposed initiator. The 12-month KM landmark and 95% confidence interval are computed from the Kaplan-Meier estimator applied to the re-collapsed episodes at each tolerance.
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)

18.3 Coverage PRR across gap tolerances

Medicaid-vs-Commercial coverage PRR for Any DMT across three gap tolerances, in both cohort framings. The 7-day row is the primary; the 1-day and 30-day rows are the strict and permissive sensitivities. Full-cohort framing uses all SCD patients including never-initiators (N = 48,760); rx-exposed framing restricts to patients with at least one merged episode at the given tolerance.
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

18.4 Coverage PRR across gap tolerances: forest plot

18.5 Cascade prevalence across gap tolerances and exposure thresholds

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.

Cascade prevalence at five Any-DMT continuous-exposure thresholds across three gap tolerances, stratified by insurance arm, in both denominator framings. Companion to the cascade-sensitivity figure.
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%

18.6 Interpretation

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.


19 Session information

## 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