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Table 2 Cross-sectional disease characteristics compared by age cohort (ages 3846 vs. 5462 years) and by sex

From: No sex-specific difference in disease trajectory in multiple sclerosis patients before and after age 50

 

Female

Male

Female vs. Male

Adjusted interaction analysis age cohort*sex

Cohort (years)

C1

C2

p

C1

C2

p

C1

C2

 

38-46

54-62

 

38-46

54-62

 

p

p

 

Clinical characteristics (mean +/- SD)

         

EDSS*

1.42 (1.33)

2.39 (1.99)

<0.0001

1.98 (1.88)

2.82 (2.31)

0.02

0.03

0.32

0.6

Relapse rate in prior two years %

0.34 (0.64)

0.05 (0.27)

<0.0001

0.41 (0.83)

0.05 (0.22)

0.03

0.84

0.84

0.84

MRI characteristics (mean +/- SD) +

         

BPF

0.88 (0.04)

0.85 (0.04)

<0.0001

0.85 (0.04)

0.81 (0.04)

<0.0001

0.0002

0.0004

0.34

T2 Lesion volume

3.91 (3.06)

5.29 (5.76)

0.11

4.42 (3.84)

6.11 (6.31)

0.41

0.36

0.63

0.98

Patient- reported outcomes (mean +/- SD) ^

         

CES- D

29.5 (8.28)

28.18 (8.24)

0.26

30.94 (8.22)

29.86 (8.53)

0.63

0.3

0.43

0.93

MFIS

24.64 (16.27)

28.52 (16.9)

0.1

27.33 (20.23)

28.24 (19.52)

0.86

0.42

0.95

0.5

SF-36 PCS

49.08 (8.99)

45.34 (11.08)

0.01

48.85 (9.14)

46.44 (10.77)

0.37

0.88

0.68

0.55

SF-36 MCS

49.05 (10.02)

50.03 (9.26)

0.48

47.51 (9.12)

48.11 (8.7)

0.8

0.33

0.37

1

  1. Legend: EDSS, expanded disability status scale, BPF, brain parenchymal fraction, CES-D, Center for Epidemiological Study, MFIS, Modified Fatigue Impact Scale *: N=551. The group comparisons were completed with a Wilcoxon test, and the interaction analysis was completed with a proportional odds model %: N=285. The group comparisons were completed with a Wilcoxon test, and the interaction analysis was completed with a negative binomial regression model +: N=308. The BPF and log-transformed T2 lesion volume were compared using a t-test, and the interaction analysis was completed with linear regression ^: N=287. All comparisons were made using a t-test, and the interaction analysis was completed with linear regression.