Table 1.
MS patientsn=66 | Non-MS controlsn=40 | |
---|---|---|
Age in years (SD) | 47.5 (12.4) | 35.2 (14.7) |
Gender | ||
Male | 14 (21%) | 12 (30%) |
Female | 52 (79%) | 28 (70%) |
MS characteristics | ||
RRMS | 51 (73%) | - |
EDSS (median, IQR) | 2.5 (1.25, 4.0) | - |
Disease duration (years, (SD)) | 14.0 (10.8) | - |
Baseline data (mean, SD) | ||
PASAT (n=56) | 46.37 (11.83) | 55.63 (5.95) |
CBB (n=66) | ||
Detection (DET)a | ||
Speed | 2.56 (0.11) | 2.51 (0.07) |
Accuracy | 1.47 (0.11) | 1.50 (0.09) |
Identification (IDN)a | ||
Speed | 2.75 (0.09) | 2.69 (0.08) |
Accuracy | 1.43 (0.13) | 1.43 (0.15) |
One card back (ONB)a | ||
Speed | 2.91 (0.09) | 2.84 (0.11) |
Accuracy | 1.36 (0.15) | 1.42 (0.17) |
One card learning (OCL)a | ||
Speed | 3.01 (0.27) | 2.99 (0.10) |
Accuracy | 0.99 (0.10) | 1.05 (0.10) |
Continuous paired associate learning (CPAL) | ||
Errors | 30.89 (32.17) | 12.23 (15.21) |
Groton maze learning (GML) | ||
Errors | 46.45 (16.22) | 36.90 (12.88) |
CBB: CogState Brief Battery; EDSS: Expanded Disability Status Scale; IQR: interquartile range; MS: multiple sclerosis; PASAT: Paced Auditory Serial Addition Test; RRMS: relapsing–remitting multiple sclerosis; SD: standard deviation.
aValues shown after base 10 logarithmic transformation.