TEDD Analysis



Table 1


AD
(N=8)
DLB
(N=11)
P-value
Daily activity counts
Mean (SD) 1620000 (232000) 1240000 (473000) 0.035
Median [Min, Max] 1620000 [1290000, 1950000] 1370000 [407000, 1860000]
Day activity
Mean (SD) 868000 (160000) 649000 (264000) 0.039
Median [Min, Max] 876000 [657000, 1100000] 740000 [238000, 931000]
Night activity
Mean (SD) 153000 (73300) 122000 (84400) 0.407
Median [Min, Max] 134000 [71700, 305000] 95500 [29900, 262000]
Drowsy
No 5 (62.5%) 2 (18.2%) 0.135
Yes 3 (37.5%) 9 (81.8%)
Nap
No 7 (87.5%) 5 (45.5%) 0.163
Yes 1 (12.5%) 6 (54.5%)
Illogical
No 3 (37.5%) 0 (0%) 0.115
Yes 5 (62.5%) 11 (100%)
Stare
No 6 (75.0%) 4 (36.4%) 0.23
Yes 2 (25.0%) 7 (63.6%)
Fluctuator
No 6 (75.0%) 2 (18.2%) 0.045
Yes 2 (25.0%) 9 (81.8%)
Hallucinations
No 8 (100%) 2 (18.2%) 0.002
Yes 0 (0%) 9 (81.8%)
Delusions
No 8 (100%) 5 (45.5%) 0.043
Yes 0 (0%) 6 (54.5%)


## 
##  Welch Two Sample t-test
## 
## data:  act_fluc$daily_counts by act_fluc$Status
## t = 2.3105, df = 15.309, p-value = 0.03518
## alternative hypothesis: true difference in means between group AD and group DLB is not equal to 0
## 95 percent confidence interval:
##   30043.74 729443.23
## sample estimates:
##  mean in group AD mean in group DLB 
##           1617650           1237907

Exploratory figures








Other activity measures


High intradaily variability may indicate daytime napping and/or nighttime arousals




Values range from 0 to 1, with higher values indicating greater stability






UPDRS



MoCA



NPI


##          
##           H: No H: Yes
##   MF: No      8      0
##   MF: Yes     2      9
##          
##           D: No D: Yes
##   MF: No      8      0
##   MF: Yes     5      6



AAI


## # A tibble: 15 × 3
##    newID AA_Over Status
##    <chr>   <dbl> <chr> 
##  1 001     65.6  AD    
##  2 003      8.2  DLB   
##  3 005     80.1  AD    
##  4 006      0    AD    
##  5 007     18.3  DLB   
##  6 008      3.2  DLB   
##  7 011     32.3  AD    
##  8 012      3.30 DLB   
##  9 014     34.9  DLB   
## 10 016      8.4  AD    
## 11 017     20.9  AD    
## 12 018     17.1  AD    
## 13 019     22.1  DLB   
## 14 020      4.62 DLB   
## 15 022      6.19 DLB








Cleaveland Clinic Analysis



Overall
(N=171)
Baseline age
Mean (SD) 70.3 (6.51)
Median [Min, Max] 70.0 [55.0, 89.0]
Missing 1 (0.6%)
Gender
1 146 (85.4%)
2 24 (14.0%)
Missing 1 (0.6%)
Baseline MoCA
Mean (SD) 19.7 (5.69)
Median [Min, Max] 21.0 [6.00, 30.0]
Missing 6 (3.5%)
Baseline question 1
0 44 (25.7%)
1 91 (53.2%)
9 3 (1.8%)
Missing 33 (19.3%)
Baseline question 2
0 67 (39.2%)
1 66 (38.6%)
9 5 (2.9%)
Missing 33 (19.3%)
Baseline question 3
0 28 (16.4%)
1 108 (63.2%)
9 2 (1.2%)
Missing 33 (19.3%)
Baseline question 4
0 63 (36.8%)
1 70 (40.9%)
9 5 (2.9%)
Missing 33 (19.3%)
Fluctuator (baseline)
No 66 (38.6%)
Yes 71 (41.5%)
Missing 34 (19.9%)
Fluctuator (month 12)
No 26 (15.2%)
Yes 53 (31.0%)
Missing 92 (53.8%)
Fluctuator (month 24)
No 20 (11.7%)
Yes 35 (20.5%)
Missing 116 (67.8%)
Fluctuator (month 36)
No 14 (8.2%)
Yes 17 (9.9%)
Missing 140 (81.9%)
Baseline UPDRS score
Mean (SD) 28.9 (15.7)
Median [Min, Max] 27.0 [0, 80.0]
Missing 12 (7.0%)
Month 12 UPDRS score
Mean (SD) 30.2 (17.6)
Median [Min, Max] 28.0 [2.00, 87.0]
Missing 80 (46.8%)
Month 24 UPDRS score
Mean (SD) 33.4 (19.3)
Median [Min, Max] 31.0 [1.00, 83.0]
Missing 116 (67.8%)
Month 36 UPDRS score
Mean (SD) 33.3 (17.7)
Median [Min, Max] 32.5 [2.00, 71.0]
Missing 141 (82.5%)


Table 1 by baseline fluctuation status


No
(N=66)
Yes
(N=71)
Overall
(N=137)
Baseline age
Mean (SD) 69.8 (6.35) 70.5 (6.38) 70.2 (6.35)
Median [Min, Max] 70.0 [57.0, 84.0] 70.0 [55.0, 86.0] 70.0 [55.0, 86.0]
Gender
1 57 (86.4%) 60 (84.5%) 117 (85.4%)
2 9 (13.6%) 11 (15.5%) 20 (14.6%)
Baseline MoCA
Mean (SD) 21.3 (5.15) 19.2 (5.80) 20.2 (5.58)
Median [Min, Max] 22.0 [10.0, 30.0] 20.0 [7.00, 29.0] 21.0 [7.00, 30.0]
Missing 2 (3.0%) 1 (1.4%) 3 (2.2%)
Baseline question 1
0 42 (63.6%) 2 (2.8%) 44 (32.1%)
1 22 (33.3%) 69 (97.2%) 91 (66.4%)
9 1 (1.5%) 0 (0%) 1 (0.7%)
Missing 1 (1.5%) 0 (0%) 1 (0.7%)
Baseline question 2
0 49 (74.2%) 18 (25.4%) 67 (48.9%)
1 13 (19.7%) 53 (74.6%) 66 (48.2%)
9 3 (4.5%) 0 (0%) 3 (2.2%)
Missing 1 (1.5%) 0 (0%) 1 (0.7%)
Baseline question 3
0 28 (42.4%) 0 (0%) 28 (20.4%)
1 37 (56.1%) 71 (100%) 108 (78.8%)
9 0 (0%) 0 (0%) 0 (0%)
Missing 1 (1.5%) 0 (0%) 1 (0.7%)
Baseline question 4
0 48 (72.7%) 15 (21.1%) 63 (46.0%)
1 16 (24.2%) 54 (76.1%) 70 (51.1%)
9 1 (1.5%) 2 (2.8%) 3 (2.2%)
Missing 1 (1.5%) 0 (0%) 1 (0.7%)
Fluctuator (baseline)
No 66 (100%) 0 (0%) 66 (48.2%)
Yes 0 (0%) 71 (100%) 71 (51.8%)
Fluctuator (month 12)
No 16 (24.2%) 9 (12.7%) 25 (18.2%)
Yes 17 (25.8%) 32 (45.1%) 49 (35.8%)
Missing 33 (50.0%) 30 (42.3%) 63 (46.0%)
Fluctuator (month 24)
No 14 (21.2%) 5 (7.0%) 19 (13.9%)
Yes 13 (19.7%) 19 (26.8%) 32 (23.4%)
Missing 39 (59.1%) 47 (66.2%) 86 (62.8%)
Fluctuator (month 36)
No 6 (9.1%) 4 (5.6%) 10 (7.3%)
Yes 8 (12.1%) 9 (12.7%) 17 (12.4%)
Missing 52 (78.8%) 58 (81.7%) 110 (80.3%)
Baseline UPDRS score
Mean (SD) 27.0 (18.0) 29.0 (13.6) 28.1 (15.8)
Median [Min, Max] 25.0 [0, 80.0] 28.5 [2.00, 68.0] 27.0 [0, 80.0]
Missing 5 (7.6%) 1 (1.4%) 6 (4.4%)
Month 12 UPDRS score
Mean (SD) 29.0 (22.1) 29.7 (13.5) 29.4 (18.1)
Median [Min, Max] 26.0 [2.00, 87.0] 30.5 [5.00, 60.0] 28.0 [2.00, 87.0]
Missing 33 (50.0%) 37 (52.1%) 70 (51.1%)
Month 24 UPDRS score
Mean (SD) 29.3 (20.1) 36.1 (18.5) 32.6 (19.4)
Median [Min, Max] 29.0 [1.00, 83.0] 33.0 [3.00, 75.0] 31.0 [1.00, 83.0]
Missing 45 (68.2%) 51 (71.8%) 96 (70.1%)
Month 36 UPDRS score
Mean (SD) 26.0 (16.7) 38.2 (15.1) 31.5 (16.8)
Median [Min, Max] 28.0 [2.00, 54.0] 39.0 [7.00, 57.0] 34.0 [2.00, 57.0]
Missing 55 (83.3%) 62 (87.3%) 117 (85.4%)



UPDRS scores vs. Fluctuation status


## 
##  Welch Two Sample t-test
## 
## data:  cc_fluc$updrs_base by cc_fluc$fluc_base
## t = -0.68672, df = 110.94, p-value = 0.4937
## alternative hypothesis: true difference in means between group No and group Yes is not equal to 0
## 95 percent confidence interval:
##  -7.524567  3.651499
## sample estimates:
##  mean in group No mean in group Yes 
##          27.04918          28.98571
## 
##  Welch Two Sample t-test
## 
## data:  cc_fluc$updrs_m12 by cc_fluc$fluc_m12
## t = 0.42765, df = 22.416, p-value = 0.673
## alternative hypothesis: true difference in means between group No and group Yes is not equal to 0
## 95 percent confidence interval:
##  -9.434806 14.343378
## sample estimates:
##  mean in group No mean in group Yes 
##          28.21429          25.76000
## 
##  Welch Two Sample t-test
## 
## data:  cc_fluc$updrs_m24 by cc_fluc$fluc_m24
## t = -1.2797, df = 19.449, p-value = 0.2157
## alternative hypothesis: true difference in means between group No and group Yes is not equal to 0
## 95 percent confidence interval:
##  -23.512377   5.652237
## sample estimates:
##  mean in group No mean in group Yes 
##          28.45455          37.38462
## 
##  Welch Two Sample t-test
## 
## data:  cc_fluc$updrs_m36 by cc_fluc$fluc_m36
## t = -0.91326, df = 2.241, p-value = 0.4485
## alternative hypothesis: true difference in means between group No and group Yes is not equal to 0
## 95 percent confidence interval:
##  -74.48349  46.15016
## sample estimates:
##  mean in group No mean in group Yes 
##          27.33333          41.50000



MoCA scores vs. Fluctuation status


## 
##  Welch Two Sample t-test
## 
## data:  cc_fluc$moca_base by cc_fluc$fluc_base
## t = 2.2136, df = 131.89, p-value = 0.02858
## alternative hypothesis: true difference in means between group No and group Yes is not equal to 0
## 95 percent confidence interval:
##  0.2227708 3.9656221
## sample estimates:
##  mean in group No mean in group Yes 
##          21.26562          19.17143
## 
##  Welch Two Sample t-test
## 
## data:  cc_fluc$moca_m12 by cc_fluc$fluc_m12
## t = 0.20603, df = 28.385, p-value = 0.8382
## alternative hypothesis: true difference in means between group No and group Yes is not equal to 0
## 95 percent confidence interval:
##  -3.887147  4.757147
## sample estimates:
##  mean in group No mean in group Yes 
##            18.875            18.440
## 
##  Welch Two Sample t-test
## 
## data:  cc_fluc$moca_m24 by cc_fluc$fluc_m24
## t = 0.322, df = 20.042, p-value = 0.7508
## alternative hypothesis: true difference in means between group No and group Yes is not equal to 0
## 95 percent confidence interval:
##  -5.394339  7.364036
## sample estimates:
##  mean in group No mean in group Yes 
##          18.16667          17.18182


CDR vs. Fluctuation status


## 
##  Welch Two Sample t-test
## 
## data:  cc_fluc$cdr_base by cc_fluc$fluc_base
## t = -0.6546, df = 70.037, p-value = 0.5149
## alternative hypothesis: true difference in means between group No and group Yes is not equal to 0
## 95 percent confidence interval:
##  -1.8129261  0.9169433
## sample estimates:
##  mean in group No mean in group Yes 
##          4.661765          5.109756
## 
##  Welch Two Sample t-test
## 
## data:  cc_fluc$cdr_m12 by cc_fluc$fluc_m12
## t = 0.30801, df = 15.122, p-value = 0.7623
## alternative hypothesis: true difference in means between group No and group Yes is not equal to 0
## 95 percent confidence interval:
##  -2.419817  3.237999
## sample estimates:
##  mean in group No mean in group Yes 
##          5.909091          5.500000
## 
##  Welch Two Sample t-test
## 
## data:  cc_fluc$cdr_m24 by cc_fluc$fluc_m24
## t = -0.88223, df = 14.638, p-value = 0.3919
## alternative hypothesis: true difference in means between group No and group Yes is not equal to 0
## 95 percent confidence interval:
##  -4.884696  2.029140
## sample estimates:
##  mean in group No mean in group Yes 
##          5.350000          6.777778




Measuring consistency



## # A tibble: 11 × 5
## # Groups:   fluc_base, fluc_m12, fluc_m24 [7]
##    fluc_base fluc_m12 fluc_m24 fluc_m36     n
##    <chr>     <chr>    <chr>    <chr>    <int>
##  1 No        No       No       No           1
##  2 No        No       No       Yes          3
##  3 No        No       Yes      No           1
##  4 No        Yes      No       No           1
##  5 No        Yes      Yes      No           2
##  6 No        Yes      Yes      Yes          3
##  7 Yes       No       No       No           1
##  8 Yes       No       No       Yes          1
##  9 Yes       Yes      No       No           2
## 10 Yes       Yes      Yes      No           1
## 11 Yes       Yes      Yes      Yes          4
## # A tibble: 6 × 7
##   fluc_base fluc_m12 fluc_m24 fluc_m36 initial final group         
##   <chr>     <chr>    <chr>    <chr>      <dbl> <dbl> <chr>         
## 1 Yes       Yes      No       No             1     0 Improvement   
## 2 Yes       Yes      Yes      <NA>           1     1 Consistent yes
## 3 No        No       No       <NA>           0     0 Consistent no 
## 4 No        Yes      <NA>     <NA>           0     1 Progression   
## 5 Yes       No       No       Yes            1     1 Inconsistent  
## 6 No        No       Yes      No             0     0 Inconsistent
Overall
(N=171)
Group
Consistent no 15 (8.8%)
Consistent yes 38 (22.2%)
Improvement 12 (7.0%)
Inconsistent 8 (4.7%)
Progression 18 (10.5%)
Missing 80 (46.8%)
Overall
(N=91)
Group
Consistent no 15 (16.5%)
Consistent yes 38 (41.8%)
Improvement 12 (13.2%)
Inconsistent 8 (8.8%)
Progression 18 (19.8%)




Spaghetti plots for people who “progressed”





Spaghetti plots for people who “improved”






Spaghetti plots for consistent yes




Attrition