## Warning: NAs introduced by coercion

## # A tibble: 216 × 278
##    DLBC_ID     GUID       NACC_ID   AGEYRS GENDER ETHNICITY_US RACE_EXPANDED_CAT
##    <chr>       <chr>      <chr>      <dbl> <chr>  <chr>        <chr>            
##  1 DLBC-01-001 PDNT373GNV NACC1-00…     58 Male   Not Hispani… Caucasian (e.g.,…
##  2 DLBC-01-002 PDDJ916LE2 DLBC01-0…     78 Male   Not Hispani… Caucasian (e.g.,…
##  3 DLBC-01-003 PDAM173HGK DLBC01-0…     75 Male   Not Hispani… Caucasian (e.g.,…
##  4 DLBC-01-004 PDDD367DR5 NACC1-00…     73 Female Not Hispani… Caucasian (e.g.,…
##  5 DLBC-01-005 PDAG119CYK NACC1-00…     64 Male   Not Hispani… Caucasian (e.g.,…
##  6 DLBC-01-006 PDZZ702FMD DLBC01-0…     75 Male   Not Hispani… Caucasian (e.g.,…
##  7 DLBC-01-007 PDRM964PWK NACC1-00…     72 Male   Not Hispani… Caucasian (e.g.,…
##  8 DLBC-01-008 PDVU751PW2 NACC1-00…     69 Female Not Hispani… Caucasian (e.g.,…
##  9 DLBC-01-009 PDUD695DE0 NACC1-00…     65 Male   Not Hispani… Caucasian (e.g.,…
## 10 DLBC-01-010 PDEL568WR5 NACC1-00…     83 Male   Not Hispani… Caucasian (e.g.,…
## # ℹ 206 more rows
## # ℹ 271 more variables: EDU_LEVEL_US <chr>, EMP_STATUS <chr>,
## #   PDBP_PRIMARY_DIAGNOSIS <chr>, DIAGNOSIS <chr>, MDSUPDRS_PARTIIISCORE <dbl>,
## #   DELNPICONTSCREENDELUSIND <chr>, DELNPIDANGERIND <chr>,
## #   DELNPISTEALINGIND <chr>, DELNPISPOUSEAFFAIRIND <chr>,
## #   DELNPIGUESTSIND <chr>, DELNPINOTWHOSAYIND <chr>,
## #   DELNPIHOUSENOTHOMEIND <chr>, DELNPIFAMILYABANDONIND <chr>, …

Table 1 by baseline fluctuation status

	No (N=91)	Yes (N=97)	Overall (N=188)
AGEYRS
Mean (SD)	70.3 (6.82)	70.3 (6.69)	70.3 (6.73)
Median [Min, Max]	70.0 [53.0, 85.0]	70.0 [53.0, 89.0]	70.0 [53.0, 89.0]
Missing	5 (5.5%)	3 (3.1%)	8 (4.3%)
GENDER
Female	15 (16.5%)	10 (10.3%)	25 (13.3%)
Male	71 (78.0%)	84 (86.6%)	155 (82.4%)
Missing	5 (5.5%)	3 (3.1%)	8 (4.3%)
Education
Associates/some college	12 (13.2%)	28 (28.9%)	40 (21.3%)
Bachelors	26 (28.6%)	23 (23.7%)	49 (26.1%)
HS or less	11 (12.1%)	12 (12.4%)	23 (12.2%)
More than Bachelors	37 (40.7%)	31 (32.0%)	68 (36.2%)
Missing	5 (5.5%)	3 (3.1%)	8 (4.3%)
moca_base
Mean (SD)	21.5 (4.86)	18.5 (5.78)	19.9 (5.55)
Median [Min, Max]	21.0 [11.0, 30.0]	19.0 [6.00, 30.0]	21.0 [6.00, 30.0]
Missing	6 (6.6%)	2 (2.1%)	8 (4.3%)
moca_m12
Mean (SD)	19.6 (6.29)	17.9 (6.59)	18.6 (6.49)
Median [Min, Max]	22.0 [8.00, 29.0]	18.0 [4.00, 30.0]	20.0 [4.00, 30.0]
Missing	56 (61.5%)	45 (46.4%)	101 (53.7%)
moca_m24
Mean (SD)	16.6 (7.71)	18.4 (6.91)	17.5 (7.33)
Median [Min, Max]	18.0 [2.00, 30.0]	19.0 [3.00, 30.0]	18.0 [2.00, 30.0]
Missing	64 (70.3%)	73 (75.3%)	137 (72.9%)
moca_m36
Mean (SD)	16.2 (9.00)	18.5 (6.24)	17.4 (7.64)
Median [Min, Max]	17.0 [3.00, 28.0]	19.0 [4.00, 26.0]	19.0 [3.00, 28.0]
Missing	77 (84.6%)	82 (84.5%)	159 (84.6%)
updrs_base
Mean (SD)	26.8 (15.5)	29.8 (15.5)	28.3 (15.5)
Median [Min, Max]	25.0 [0, 73.0]	28.0 [2.00, 80.0]	27.0 [0, 80.0]
Missing	10 (11.0%)	8 (8.2%)	18 (9.6%)
updrs_m12
Mean (SD)	28.9 (18.1)	31.2 (17.9)	30.3 (17.9)
Median [Min, Max]	26.0 [5.00, 80.0]	28.0 [2.00, 87.0]	28.0 [2.00, 87.0]
Missing	56 (61.5%)	45 (46.4%)	101 (53.7%)
updrs_m24
Mean (SD)	34.1 (22.7)	31.6 (15.7)	32.9 (19.5)
Median [Min, Max]	36.0 [1.00, 75.0]	31.0 [5.00, 83.0]	31.0 [1.00, 83.0]
Missing	62 (68.1%)	70 (72.2%)	132 (70.2%)
updrs_m36
Mean (SD)	30.4 (18.0)	38.2 (18.0)	34.4 (18.1)
Median [Min, Max]	32.0 [2.00, 57.0]	40.0 [7.00, 71.0]	36.0 [2.00, 71.0]
Missing	78 (85.7%)	83 (85.6%)	161 (85.6%)
cdr_base
Mean (SD)	4.63 (3.09)	6.09 (3.08)	5.45 (3.16)
Median [Min, Max]	4.00 [0, 14.0]	5.00 [1.00, 15.0]	4.50 [0, 15.0]
Missing	31 (34.1%)	19 (19.6%)	50 (26.6%)
cdr_m12
Mean (SD)	5.93 (3.61)	6.81 (4.21)	6.43 (3.95)
Median [Min, Max]	5.25 [1.00, 18.0]	5.50 [1.50, 17.0]	5.50 [1.00, 18.0]
Missing	63 (69.2%)	60 (61.9%)	123 (65.4%)
cdr_m24
Mean (SD)	6.81 (3.95)	6.91 (4.28)	6.86 (4.08)
Median [Min, Max]	5.00 [1.00, 15.0]	6.00 [0.500, 17.0]	5.75 [0.500, 17.0]
Missing	70 (76.9%)	74 (76.3%)	144 (76.6%)
cdr_m36
Mean (SD)	8.83 (3.86)	6.45 (3.95)	7.58 (3.99)
Median [Min, Max]	9.00 [0.500, 14.0]	6.00 [0, 12.0]	8.00 [0, 14.0]
Missing	82 (90.1%)	87 (89.7%)	169 (89.9%)
apoe
APOEe4-	49 (53.8%)	46 (47.4%)	95 (50.5%)
APOEe4+	20 (22.0%)	38 (39.2%)	58 (30.9%)
Missing	22 (24.2%)	13 (13.4%)	35 (18.6%)
Site
01	18 (19.8%)	17 (17.5%)	35 (18.6%)
02	10 (11.0%)	11 (11.3%)	21 (11.2%)
03	8 (8.8%)	20 (20.6%)	28 (14.9%)
04	15 (16.5%)	9 (9.3%)	24 (12.8%)
05	13 (14.3%)	14 (14.4%)	27 (14.4%)
06	4 (4.4%)	6 (6.2%)	10 (5.3%)
07	6 (6.6%)	4 (4.1%)	10 (5.3%)
08	14 (15.4%)	14 (14.4%)	28 (14.9%)
09	2 (2.2%)	1 (1.0%)	3 (1.6%)
10	1 (1.1%)	1 (1.0%)	2 (1.1%)

Table 1 by CDR missingness

## Warning in chisq.test(table(y, g)): Chi-squared approximation may be incorrect

	No (N=138)	Yes (N=50)	P-value
AGEYRS
Mean (SD)	70.2 (6.73)	70.7 (6.79)	0.621
Median [Min, Max]	70.0 [53.0, 89.0]	70.5 [53.0, 83.0]
Missing	4 (2.9%)	4 (8.0%)
GENDER
Female	19 (13.8%)	6 (12.0%)	1
Male	115 (83.3%)	40 (80.0%)
Missing	4 (2.9%)	4 (8.0%)
Education
Associates/some college	33 (23.9%)	7 (14.0%)	0.508
Bachelors	34 (24.6%)	15 (30.0%)
HS or less	16 (11.6%)	7 (14.0%)
More than Bachelors	51 (37.0%)	17 (34.0%)
Missing	4 (2.9%)	4 (8.0%)
moca_base
Mean (SD)	19.6 (5.29)	21.0 (6.18)	0.173
Median [Min, Max]	20.0 [6.00, 30.0]	23.0 [7.00, 29.0]
Missing	4 (2.9%)	4 (8.0%)
updrs_base
Mean (SD)	28.8 (15.4)	26.8 (16.2)	0.508
Median [Min, Max]	27.0 [2.00, 80.0]	25.0 [0, 63.0]
Missing	6 (4.3%)	12 (24.0%)
apoe
APOEe4-	74 (53.6%)	21 (42.0%)	0.432
APOEe4+	49 (35.5%)	9 (18.0%)
Missing	15 (10.9%)	20 (40.0%)
fluc_base
No	60 (43.5%)	31 (62.0%)	0.038
Yes	78 (56.5%)	19 (38.0%)
Site
01	32 (23.2%)	3 (6.0%)	<0.001
02	15 (10.9%)	6 (12.0%)
03	28 (20.3%)	0 (0%)
04	17 (12.3%)	7 (14.0%)
05	22 (15.9%)	5 (10.0%)
06	2 (1.4%)	8 (16.0%)
07	0 (0%)	10 (20.0%)
08	20 (14.5%)	8 (16.0%)
09	2 (1.4%)	1 (2.0%)
10	0 (0%)	2 (4.0%)

## Warning: Removed 8 rows containing non-finite outside the scale range
## (`stat_boxplot()`).

## Warning: Removed 18 rows containing non-finite outside the scale range
## (`stat_boxplot()`).

## Warning: Removed 50 rows containing non-finite outside the scale range
## (`stat_boxplot()`).

Table 1 by baseline fluctuation status (for those with diagnosis = 1)

## Warning in chisq.test(table(y, g)): Chi-squared approximation may be incorrect

	No (N=58)	Yes (N=76)	P-value
AGEYRS
Mean (SD)	70.2 (6.90)	70.6 (6.53)	0.753
Median [Min, Max]	70.0 [55.0, 83.0]	69.0 [57.0, 89.0]
Missing	3 (5.2%)	1 (1.3%)
GENDER
Female	7 (12.1%)	8 (10.5%)	0.932
Male	48 (82.8%)	67 (88.2%)
Missing	3 (5.2%)	1 (1.3%)
Education
Associates/some college	8 (13.8%)	25 (32.9%)	0.098
Bachelors	16 (27.6%)	16 (21.1%)
HS or less	8 (13.8%)	11 (14.5%)
More than Bachelors	23 (39.7%)	23 (30.3%)
Missing	3 (5.2%)	1 (1.3%)
moca_base
Mean (SD)	20.7 (4.74)	17.7 (5.76)	0.002
Median [Min, Max]	21.0 [11.0, 29.0]	17.0 [6.00, 30.0]
Missing	5 (8.6%)	1 (1.3%)
moca_m12
Mean (SD)	18.3 (6.46)	16.7 (6.27)	0.304
Median [Min, Max]	20.0 [8.00, 28.0]	16.5 [4.00, 30.0]
Missing	32 (55.2%)	32 (42.1%)
moca_m24
Mean (SD)	14.6 (7.52)	17.6 (7.16)	0.223
Median [Min, Max]	13.0 [2.00, 29.0]	17.5 [3.00, 30.0]
Missing	39 (67.2%)	56 (73.7%)
moca_m36
Mean (SD)	16.3 (9.10)	17.3 (5.88)	0.765
Median [Min, Max]	17.0 [3.00, 27.0]	18.0 [4.00, 26.0]
Missing	48 (82.8%)	63 (82.9%)
updrs_base
Mean (SD)	30.3 (15.7)	32.1 (15.2)	0.523
Median [Min, Max]	27.5 [2.00, 73.0]	29.5 [3.00, 80.0]
Missing	4 (6.9%)	4 (5.3%)
updrs_m12
Mean (SD)	30.9 (18.6)	33.7 (17.6)	0.524
Median [Min, Max]	27.0 [5.00, 80.0]	32.0 [3.00, 87.0]
Missing	30 (51.7%)	31 (40.8%)
updrs_m24
Mean (SD)	36.4 (21.7)	33.1 (15.7)	0.572
Median [Min, Max]	36.5 [3.00, 65.0]	31.0 [9.00, 83.0]
Missing	36 (62.1%)	53 (69.7%)
updrs_m36
Mean (SD)	34.9 (16.2)	41.9 (16.2)	0.339
Median [Min, Max]	36.0 [6.00, 57.0]	42.0 [19.0, 71.0]
Missing	49 (84.5%)	64 (84.2%)
cdr_base
Mean (SD)	4.76 (2.85)	6.34 (3.18)	0.008
Median [Min, Max]	4.00 [1.00, 14.0]	5.25 [2.00, 15.0]
Missing	14 (24.1%)	12 (15.8%)
cdr_m12
Mean (SD)	6.38 (3.55)	7.33 (4.25)	0.385
Median [Min, Max]	5.50 [2.00, 18.0]	6.00 [2.00, 17.0]
Missing	37 (63.8%)	44 (57.9%)
cdr_m24
Mean (SD)	7.40 (3.95)	7.58 (4.27)	0.9
Median [Min, Max]	7.50 [1.50, 15.0]	7.00 [1.50, 17.0]
Missing	43 (74.1%)	57 (75.0%)
cdr_m36
Mean (SD)	10.2 (3.11)	7.17 (3.44)	0.126
Median [Min, Max]	9.00 [7.00, 14.0]	6.00 [2.00, 12.0]
Missing	53 (91.4%)	67 (88.2%)
apoe
APOEe4-	32 (55.2%)	36 (47.4%)	0.237
APOEe4+	18 (31.0%)	34 (44.7%)
Missing	8 (13.8%)	6 (7.9%)
Site
01	8 (13.8%)	12 (15.8%)	0.072
02	8 (13.8%)	11 (14.5%)
03	3 (5.2%)	16 (21.1%)
04	12 (20.7%)	5 (6.6%)
05	9 (15.5%)	12 (15.8%)
06	3 (5.2%)	4 (5.3%)
07	6 (10.3%)	4 (5.3%)
08	7 (12.1%)	11 (14.5%)
09	2 (3.4%)	0 (0%)
10	0 (0%)	1 (1.3%)

Table 1 by missing CDR status (for those with diagnosis = 1)

	No (N=108)	Yes (N=26)	Overall (N=134)
AGEYRS
Mean (SD)	70.2 (6.58)	71.0 (7.12)	70.4 (6.67)
Median [Min, Max]	69.0 [57.0, 89.0]	71.0 [55.0, 83.0]	70.0 [55.0, 89.0]
Missing	3 (2.8%)	1 (3.8%)	4 (3.0%)
GENDER
Female	15 (13.9%)	0 (0%)	15 (11.2%)
Male	90 (83.3%)	25 (96.2%)	115 (85.8%)
Missing	3 (2.8%)	1 (3.8%)	4 (3.0%)
Education
Associates/some college	28 (25.9%)	5 (19.2%)	33 (24.6%)
Bachelors	24 (22.2%)	8 (30.8%)	32 (23.9%)
HS or less	15 (13.9%)	4 (15.4%)	19 (14.2%)
More than Bachelors	38 (35.2%)	8 (30.8%)	46 (34.3%)
Missing	3 (2.8%)	1 (3.8%)	4 (3.0%)
moca_base
Mean (SD)	19.0 (5.25)	18.8 (6.76)	18.9 (5.54)
Median [Min, Max]	20.0 [6.00, 30.0]	20.0 [7.00, 27.0]	20.0 [6.00, 30.0]
Missing	4 (3.7%)	2 (7.7%)	6 (4.5%)
updrs_base
Mean (SD)	31.2 (15.5)	32.1 (15.3)	31.3 (15.4)
Median [Min, Max]	28.5 [2.00, 80.0]	28.0 [6.00, 63.0]	28.5 [2.00, 80.0]
Missing	4 (3.7%)	4 (15.4%)	8 (6.0%)
apoe
APOEe4-	54 (50.0%)	14 (53.8%)	68 (50.7%)
APOEe4+	46 (42.6%)	6 (23.1%)	52 (38.8%)
Missing	8 (7.4%)	6 (23.1%)	14 (10.4%)
Site
01	20 (18.5%)	0 (0%)	20 (14.9%)
02	15 (13.9%)	4 (15.4%)	19 (14.2%)
03	19 (17.6%)	0 (0%)	19 (14.2%)
04	14 (13.0%)	3 (11.5%)	17 (12.7%)
05	21 (19.4%)	0 (0%)	21 (15.7%)
06	2 (1.9%)	5 (19.2%)	7 (5.2%)
07	0 (0%)	10 (38.5%)	10 (7.5%)
08	16 (14.8%)	2 (7.7%)	18 (13.4%)
09	1 (0.9%)	1 (3.8%)	2 (1.5%)
10	0 (0%)	1 (3.8%)	1 (0.7%)
RACE_EXPANDED_CAT
African - Black (i.e., south of the Sahara)	1 (0.9%)	0 (0%)	1 (0.7%)
American - Black (i.e., people of African descent whose area of origin is within the Americas: e.g., Canada, Caribbean, Brazil, US, etc.)	1 (0.9%)	0 (0%)	1 (0.7%)
American Indian/Alaska Native;Caucasian (e.g., British Isles, Germany, Peninsular Spain, Latin America, France, Italy, Ireland, Sweden, etc.)	1 (0.9%)	0 (0%)	1 (0.7%)
Caucasian (e.g., British Isles, Germany, Peninsular Spain, Latin America, France, Italy, Ireland, Sweden, etc.)	101 (93.5%)	22 (84.6%)	123 (91.8%)
Caucasian (e.g., British Isles, Germany, Peninsular Spain, Latin America, France, Italy, Ireland, Sweden, etc.);Other, specify	1 (0.9%)	0 (0%)	1 (0.7%)
Asian - East (i.e., China, Japan, Korea, etc.)	0 (0%)	1 (3.8%)	1 (0.7%)
Asian - East (i.e., China, Japan, Korea, etc.);Other, specify	0 (0%)	1 (3.8%)	1 (0.7%)
Other, specify	0 (0%)	1 (3.8%)	1 (0.7%)
Missing	3 (2.8%)	1 (3.8%)	4 (3.0%)
ETHNICITY_US
Hispanic or Latino	2 (1.9%)	1 (3.8%)	3 (2.2%)
Not Hispanic or Latino	103 (95.4%)	24 (92.3%)	127 (94.8%)
Missing	3 (2.8%)	1 (3.8%)	4 (3.0%)
EMP_STATUS
Disabled, permanently or temporarily	8 (7.4%)	4 (15.4%)	12 (9.0%)
Other, specify	1 (0.9%)	0 (0%)	1 (0.7%)
Retired	87 (80.6%)	19 (73.1%)	106 (79.1%)
Unknown	1 (0.9%)	0 (0%)	1 (0.7%)
Working Now	8 (7.4%)	2 (7.7%)	10 (7.5%)
Missing	3 (2.8%)	1 (3.8%)	4 (3.0%)

DAG

Cross-sectional relationships at each timepoint

UPDRS scores vs. Fluctuation status

## 
##  Welch Two Sample t-test
## 
## data:  dlbc_dlb$updrs_base by dlbc_dlb$fluc_base
## t = -0.64122, df = 112.27, p-value = 0.5227
## alternative hypothesis: true difference in means between group No and group Yes is not equal to 0
## 95 percent confidence interval:
##  -7.308803  3.734729
## sample estimates:
##  mean in group No mean in group Yes 
##          30.29630          32.08333

## 
##  Welch Two Sample t-test
## 
## data:  dlbc_dlb$updrs_m12 by dlbc_dlb$fluc_m12
## t = -0.98582, df = 45.668, p-value = 0.3294
## alternative hypothesis: true difference in means between group No and group Yes is not equal to 0
## 95 percent confidence interval:
##  -13.978177   4.788783
## sample estimates:
##  mean in group No mean in group Yes 
##          30.04167          34.63636

## 
##  Welch Two Sample t-test
## 
## data:  dlbc_dlb$updrs_m24 by dlbc_dlb$fluc_m24
## t = -2.8432, df = 23.393, p-value = 0.009114
## alternative hypothesis: true difference in means between group No and group Yes is not equal to 0
## 95 percent confidence interval:
##  -28.075157  -4.439995
## sample estimates:
##  mean in group No mean in group Yes 
##          22.90909          39.16667

## 
##  Welch Two Sample t-test
## 
## data:  dlbc_dlb$updrs_m36 by dlbc_dlb$fluc_m36
## t = -1.131, df = 16, p-value = 0.2747
## alternative hypothesis: true difference in means between group No and group Yes is not equal to 0
## 95 percent confidence interval:
##  -24.790798   7.540798
## sample estimates:
##  mean in group No mean in group Yes 
##            32.875            41.500

MoCA scores vs. Fluctuation status

## 
##  Welch Two Sample t-test
## 
## data:  dlbc_dlb$moca_base by dlbc_dlb$fluc_base
## t = 3.1905, df = 123.03, p-value = 0.001802
## alternative hypothesis: true difference in means between group No and group Yes is not equal to 0
## 95 percent confidence interval:
##  1.126247 4.807841
## sample estimates:
##  mean in group No mean in group Yes 
##          20.66038          17.69333

## 
##  Welch Two Sample t-test
## 
## data:  dlbc_dlb$moca_m12 by dlbc_dlb$fluc_m12
## t = 1.1514, df = 40.408, p-value = 0.2563
## alternative hypothesis: true difference in means between group No and group Yes is not equal to 0
## 95 percent confidence interval:
##  -1.454499  5.309044
## sample estimates:
##  mean in group No mean in group Yes 
##          18.72727          16.80000

## 
##  Welch Two Sample t-test
## 
## data:  dlbc_dlb$moca_m24 by dlbc_dlb$fluc_m24
## t = 0.52949, df = 18.735, p-value = 0.6027
## alternative hypothesis: true difference in means between group No and group Yes is not equal to 0
## 95 percent confidence interval:
##  -4.093878  6.863109
## sample estimates:
##  mean in group No mean in group Yes 
##          17.00000          15.61538

## 
##  Welch Two Sample t-test
## 
## data:  dlbc_dlb$moca_m36 by dlbc_dlb$fluc_m36
## t = 1.9153, df = 17.956, p-value = 0.07152
## alternative hypothesis: true difference in means between group No and group Yes is not equal to 0
## 95 percent confidence interval:
##  -0.50991 11.00991
## sample estimates:
##  mean in group No mean in group Yes 
##             20.25             15.00

CDR vs. Fluctuation status

## 
##  Welch Two Sample t-test
## 
## data:  dlbc_dlb$cdr_base by dlbc_dlb$fluc_base
## t = -2.7037, df = 98.811, p-value = 0.008075
## alternative hypothesis: true difference in means between group No and group Yes is not equal to 0
## 95 percent confidence interval:
##  -2.7437223 -0.4210504
## sample estimates:
##  mean in group No mean in group Yes 
##          4.761364          6.343750

## 
##  Welch Two Sample t-test
## 
## data:  dlbc_dlb$cdr_m12 by dlbc_dlb$fluc_m12
## t = -1.214, df = 30.666, p-value = 0.234
## alternative hypothesis: true difference in means between group No and group Yes is not equal to 0
## 95 percent confidence interval:
##  -3.8040412  0.9659459
## sample estimates:
##  mean in group No mean in group Yes 
##          5.966667          7.385714

## 
##  Welch Two Sample t-test
## 
## data:  dlbc_dlb$cdr_m24 by dlbc_dlb$fluc_m24
## t = -2.2891, df = 21.351, p-value = 0.03236
## alternative hypothesis: true difference in means between group No and group Yes is not equal to 0
## 95 percent confidence interval:
##  -5.601612 -0.271404
## sample estimates:
##  mean in group No mean in group Yes 
##          4.944444          7.880952

## 
##  Welch Two Sample t-test
## 
## data:  dlbc_dlb$cdr_m36 by dlbc_dlb$fluc_m36
## t = -1.3585, df = 7.0049, p-value = 0.2164
## alternative hypothesis: true difference in means between group No and group Yes is not equal to 0
## 95 percent confidence interval:
##  -7.383630  1.994741
## sample estimates:
##  mean in group No mean in group Yes 
##          6.250000          8.944444

Longitudinal relationships by baseline fluctuation status

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 412 rows containing non-finite outside the scale range
## (`stat_smooth()`).

## Warning: Removed 412 rows containing missing values or values outside the scale range
## (`geom_point()`).

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 405 rows containing non-finite outside the scale range
## (`stat_smooth()`).

## Warning: Removed 405 rows containing missing values or values outside the scale range
## (`geom_point()`).

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 486 rows containing non-finite outside the scale range
## (`stat_smooth()`).

## Warning: Removed 486 rows containing missing values or values outside the scale range
## (`geom_point()`).

Modeling

Cross-sectional models at baseline (unadjusted)

	CDR			MoCA			UPDRS
Predictors	Estimates	CI	p	Estimates	CI	p	Estimates	CI	p
(Intercept)	4.26	3.37 – 5.16	<0.001	21.66	20.28 – 23.03	<0.001	25.90	21.85 – 29.95	<0.001
fluc base [Yes]	1.50	0.41 – 2.59	0.007	-2.33	-4.06 – -0.59	0.009	3.41	-1.67 – 8.50	0.187
apoe [APOEe4+]	0.70	-0.40 – 1.79	0.212	-1.28	-3.06 – 0.50	0.157	1.07	-4.13 – 6.28	0.684
Observations	123			149			150
R² / R² adjusted	0.079 / 0.063			0.067 / 0.055			0.014 / 0.001

Cross-sectional models at baseline (adjusted)

	CDR			MoCA			UPDRS
Predictors	Estimates	CI	p	Estimates	CI	p	Estimates	CI	p
(Intercept)	-2.44	-8.05 – 3.16	0.390	26.59	17.45 – 35.73	<0.001	14.81	-11.87 – 41.49	0.274
fluc base [Yes]	2.02	0.96 – 3.09	<0.001	-2.40	-4.19 – -0.61	0.009	4.09	-1.12 – 9.30	0.123
AGEYRS	0.10	0.02 – 0.17	0.011	-0.09	-0.21 – 0.04	0.172	0.18	-0.18 – 0.54	0.316
GENDER [Male]	-1.97	-3.44 – -0.49	0.009	1.13	-1.45 – 3.71	0.389	-4.00	-11.44 – 3.43	0.289
apoe [APOEe4+]	0.50	-0.55 – 1.54	0.352	-1.18	-2.98 – 0.61	0.195	0.84	-4.39 – 6.07	0.751
Education [Bachelors]	1.77	0.31 – 3.23	0.018	0.41	-2.08 – 2.89	0.746	-1.55	-8.78 – 5.67	0.671
Education [HS or less]	1.56	-0.19 – 3.30	0.080	-0.43	-3.45 – 2.58	0.778	5.45	-3.31 – 14.20	0.221
Education [More than Bachelors]	1.75	0.41 – 3.09	0.011	0.18	-2.11 – 2.47	0.876	2.80	-3.97 – 9.57	0.415
Observations	123			149			150
R² / R² adjusted	0.210 / 0.162			0.086 / 0.041			0.046 / -0.001

Longitudinal models (unadjusted)

	CDR			MoCA			UPDRS
Predictors	Estimates	CI	p	Estimates	CI	p	Estimates	CI	p
(Intercept)	2.60	1.41 – 3.80	<0.001	23.89	22.08 – 25.70	<0.001	23.28	18.31 – 28.26	<0.001
time	1.44	1.01 – 1.88	<0.001	-2.09	-2.67 – -1.50	<0.001	3.11	1.56 – 4.66	<0.001
fluc base [Yes]	2.25	0.73 – 3.78	0.004	-3.20	-5.54 – -0.85	0.008	2.65	-3.80 – 9.10	0.419
apoe [APOEe4+]	1.04	-0.14 – 2.22	0.083	-1.21	-3.20 – 0.77	0.229	1.27	-4.28 – 6.82	0.652
time × fluc base [Yes]	-0.57	-1.17 – 0.03	0.061	0.69	-0.11 – 1.50	0.091	0.10	-2.04 – 2.24	0.926
Random Effects
σ²	3.97			9.50			65.85
τ₀₀	7.97 _{DLBC_ID}			28.93 _{DLBC_ID}			235.45 _{DLBC_ID}
ICC	0.67			0.75			0.78
N	124 _{DLBC_ID}			149 _{DLBC_ID}			151 _{DLBC_ID}
Observations	248			312			315
Marginal R² / Conditional R²	0.135 / 0.712			0.100 / 0.778			0.038 / 0.790

Longitudinal models (adjusted)

	CDR			MoCA			UPDRS
Predictors	Estimates	CI	p	Estimates	CI	p	Estimates	CI	p
(Intercept)	-3.96	-10.29 – 2.36	0.218	29.80	19.52 – 40.08	<0.001	11.16	-17.70 – 40.03	0.447
time	1.44	1.01 – 1.87	<0.001	-2.09	-2.67 – -1.50	<0.001	3.12	1.57 – 4.67	<0.001
fluc base [Yes]	2.71	1.19 – 4.23	0.001	-3.45	-5.84 – -1.05	0.005	3.23	-3.36 – 9.83	0.336
AGEYRS	0.10	0.01 – 0.18	0.027	-0.10	-0.24 – 0.04	0.146	0.22	-0.17 – 0.61	0.274
GENDER [Male]	-1.71	-3.38 – -0.04	0.044	1.94	-0.96 – 4.83	0.189	-4.59	-12.64 – 3.45	0.262
apoe [APOEe4+]	0.86	-0.31 – 2.03	0.147	-1.09	-3.09 – 0.91	0.283	1.01	-4.60 – 6.63	0.723
Education [Bachelors]	1.50	-0.14 – 3.13	0.072	-0.04	-2.83 – 2.75	0.979	-0.93	-8.71 – 6.85	0.814
Education [HS or less]	1.47	-0.47 – 3.42	0.138	-0.35	-3.71 – 3.00	0.836	2.36	-7.06 – 11.78	0.623
Education [More than Bachelors]	1.59	0.10 – 3.09	0.037	-0.64	-3.19 – 1.91	0.620	1.56	-5.70 – 8.81	0.673
time × fluc base [Yes]	-0.56	-1.16 – 0.03	0.063	0.69	-0.12 – 1.50	0.093	0.10	-2.04 – 2.24	0.930
Random Effects
σ²	3.90			9.50			65.83
τ₀₀	7.56 _{DLBC_ID}			29.14 _{DLBC_ID}			239.58 _{DLBC_ID}
ICC	0.66			0.75			0.78
N	124 _{DLBC_ID}			149 _{DLBC_ID}			151 _{DLBC_ID}
Observations	248			312			315
Marginal R² / Conditional R²	0.194 / 0.726			0.117 / 0.783			0.053 / 0.796

DLBC Fluctuation Paper 121624

Karl Brown

2024-09-25

Table 1 by baseline fluctuation status

Table 1 by CDR missingness

Table 1 by baseline fluctuation status (for those with diagnosis = 1)

Table 1 by missing CDR status (for those with diagnosis = 1)

DAG

Cross-sectional relationships at each timepoint

UPDRS scores vs. Fluctuation status

MoCA scores vs. Fluctuation status

CDR vs. Fluctuation status

Longitudinal relationships by baseline fluctuation status

Modeling

Cross-sectional models at baseline (unadjusted)

Cross-sectional models at baseline (adjusted)

Longitudinal models (unadjusted)

Longitudinal models (adjusted)