ECTRIMS eLearning

Multiple sclerosis and EDSS: the imprint of depression and subjective cognitive fatigue on cognitive function
Author(s): ,
D Golan
Affiliations:
Department of Neurology, Carmel Medical Center;Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
,
J Underwood
Affiliations:
South Shore Neurologic Associates, Patchogue
,
M Gudesblatt
Affiliations:
South Shore Neurologic Associates, Patchogue
,
K Wissemann
Affiliations:
South Shore Neurologic Associates, Patchogue
,
M Zarif
Affiliations:
South Shore Neurologic Associates, Patchogue
,
B Bumstead
Affiliations:
South Shore Neurologic Associates, Patchogue
,
L Fafard
Affiliations:
South Shore Neurologic Associates, Patchogue
,
M Buhse
Affiliations:
South Shore Neurologic Associates, Patchogue;Stony Brook University, Stony Brook
,
K Blitz
Affiliations:
South Shore Neurologic Associates, Patchogue
,
C Sullivan
Affiliations:
Neuropsychological Associates, Fairfax, NY;Georgetown University Hospital, Department of Neurology and Washington Neuropsychology Research Group, Washington, DC
,
J Wilken
Affiliations:
Georgetown University Hospital, Department of Neurology and Washington Neuropsychology Research Group, Washington, DC;Neuropsychological Associates, Fairfax, VA
G Doniger
Affiliations:
NeuroTrax Corporation, Bellaire, TX, United States
ECTRIMS Learn. Golan D. 09/15/16; 146180; P340
Dr. Daniel Golan
Dr. Daniel Golan
Contributions
Abstract

Abstract: P340

Type: Poster

Abstract Category: Clinical aspects of MS - MS symptoms

Background: Multiple Sclerosis impacts cognition and is associated with fatigue and depression. However the association between subjective cognitive fatigue and objective cognitive dysfunction in people with MS (PwMS) is complicated and independent analyses of this relationship provide conflicting results. A major difficulty is that subjective fatigue seems strongly correlated with depression, which might also impair cognition.

Objective: To explore the association between cognitive fatigue, depression, and cognitive function in a large PwMS cohort.

Methods: PwMS completed a standardized computerized cognitive assessment battery (NeuroTrax) while cognitive fatigue impact (cognitive subscale of the Modified Fatigue Impact Scale) and depression (Beck Depression Inventory Questionnaires) were evaluated respectively, in the course of routine care.

Results: 672 PwMS [Female: 506 (75%), EDSS 2.6±2, Education years: 14.6±2.7]. Both subjective cognitive fatigue and depression were significantly and negatively correlated with the same cognitive domains: memory, executive function, attention, information processing and motor function. Therefore, a fatigue and depression sensitive global cognitive score (FDS-GCS) was defined as the average of these sub-scores. A significant interaction was identified between disease stage [low disability (EDSS 0-3.5) vs high disability (EDSS 4-8)] and depression on cognitive function [F(1,668)=4.1, P=0.05]. For patients with low physical disability (n=551), Linear regression modeling revealed significant independent correlations only between depression and FDS-GCS (β=-0.3, P=< 0.0001), while subjective cognitive fatigue had no independent correlation with objective cognitive function. Depression and subjective cognitive fatigue accounted for 12% of the variance in FDS-GCS. In highly disabled PwMS (n=121), neither fatigue nor depression were correlated with objective cognitive function.

Conclusion: Cognitive function in PwMS with low physical disability is associated with depression, but is not independently associated with subjective cognitive fatigue. These factors explain only a small portion of the variance in computerized cognitive scores in PwMS.

Disclosure: Glen Doniger is an employee of NeuroTrax Corporation

Abstract: P340

Type: Poster

Abstract Category: Clinical aspects of MS - MS symptoms

Background: Multiple Sclerosis impacts cognition and is associated with fatigue and depression. However the association between subjective cognitive fatigue and objective cognitive dysfunction in people with MS (PwMS) is complicated and independent analyses of this relationship provide conflicting results. A major difficulty is that subjective fatigue seems strongly correlated with depression, which might also impair cognition.

Objective: To explore the association between cognitive fatigue, depression, and cognitive function in a large PwMS cohort.

Methods: PwMS completed a standardized computerized cognitive assessment battery (NeuroTrax) while cognitive fatigue impact (cognitive subscale of the Modified Fatigue Impact Scale) and depression (Beck Depression Inventory Questionnaires) were evaluated respectively, in the course of routine care.

Results: 672 PwMS [Female: 506 (75%), EDSS 2.6±2, Education years: 14.6±2.7]. Both subjective cognitive fatigue and depression were significantly and negatively correlated with the same cognitive domains: memory, executive function, attention, information processing and motor function. Therefore, a fatigue and depression sensitive global cognitive score (FDS-GCS) was defined as the average of these sub-scores. A significant interaction was identified between disease stage [low disability (EDSS 0-3.5) vs high disability (EDSS 4-8)] and depression on cognitive function [F(1,668)=4.1, P=0.05]. For patients with low physical disability (n=551), Linear regression modeling revealed significant independent correlations only between depression and FDS-GCS (β=-0.3, P=< 0.0001), while subjective cognitive fatigue had no independent correlation with objective cognitive function. Depression and subjective cognitive fatigue accounted for 12% of the variance in FDS-GCS. In highly disabled PwMS (n=121), neither fatigue nor depression were correlated with objective cognitive function.

Conclusion: Cognitive function in PwMS with low physical disability is associated with depression, but is not independently associated with subjective cognitive fatigue. These factors explain only a small portion of the variance in computerized cognitive scores in PwMS.

Disclosure: Glen Doniger is an employee of NeuroTrax Corporation

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