XXXX predicts @entity73 in relapsing remitting multiple sclerosis. Effect on instrumental activities of daily living and employment status.

@entity1 @entity3145 @entity73 @entity9479 @entity194
INTRODUCTION: @entity73 is an important predictor of quality of life at all stages of MS. Magnetic Resonance Imaging (MRI) markers have been used to associate @entity3145 with @entity73 . OBJECTIVE: The aim of the study was to designate the MRI marker that predicts @entity73 and explore its effect on every day activities and employment status. METHODS: 50 RRMS @entity1 and 31 healthy @entity1 underwent neuropsychological assessment using the Trail Making Test (TMT) parts A and B, semantic and phonological verbal fluency task and a computerized cognitive screening battery (Central Nervous System Vital Signs). Everyday activities were evaluated with the instrumental activities of daily living (IADL) scale and employment status. Brain MRI was performed in all @entity1 . We measured total lesion volume, third ventricle width, corpus callosum and thalamic @entity194 . RESULTS: The frequency of @entity73 for our RRMS @entity1 was 38%. RRMS @entity1 differed significantly from controls on the TMTA, TMTB, phonological verbal fluency task, memory, psychomotor speed, reaction time and @entity73 . Neuropsychological measures had a strong correlation with all MRI @entity194 measures and a weak or moderate correlation with lesion volume. Psychomotor speed was the most sensitive marker for IADL, while memory and TMTB for employment status. Thalamic area was the most sensitive MRI marker for memory, psychomotor speed and TMTB.. CONCLUSION: @entity9479 predicts the clinically meaningful @entity73 in our RRMS @entity1 .
