ECTRIMS eLearning

Multiple sclerosis and cognitive testing: the relationship between traditional measures and novel computerized analytics - a preliminary analysis
Author(s): ,
M Gudesblatt
Affiliations:
South Shore Neurologic Associates, Patchogue
,
M Zarif
Affiliations:
South Shore Neurologic Associates, Patchogue
,
K Wissemann
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, NY
,
K Blitz
Affiliations:
South Shore Neurologic Associates, Patchogue
,
S Thotam
Affiliations:
South Shore Neurologic Associates, Patchogue
,
R Kane
Affiliations:
Neuropsychological Associates, Fairfax, VA;Georgetown University Hospital, Department of Neurology and Washington Neuropsychology Research Group, Washington D.C., DC, United States
,
C Sullivan
Affiliations:
Neuropsychological Associates, Fairfax, VA;Georgetown University Hospital, Department of Neurology and Washington Neuropsychology Research Group, Washington D.C., DC, United States
J Wilken
Affiliations:
Neuropsychological Associates, Fairfax, VA;Georgetown University Hospital, Department of Neurology and Washington Neuropsychology Research Group, Washington D.C., DC, United States
ECTRIMS Learn. Gudesblatt M. 09/16/16; 146728; P888
Mark Gudesblatt
Mark Gudesblatt
Contributions
Abstract

Abstract: P888

Type: Poster

Abstract Category: Clinical aspects of MS - Clinical assessment tools

Background: Multiple Sclerosis (MS), evaluated by EDSS, relapse and MRI, but none provide cognitive information. Cognitive function impacts: employment, Quality of Life, risk of falling. Traditional measures evaluating cognitive function: employ single score screens, limited availability, and difficult to incorporate into routine care. Computerized cognitive testing can easily incorporate into routine MS care and provide an objective method to screen and track changing disease impact. NeuroTrax computerized cognitive testing (NT) is one digital method to obtain a screening profile in people with MS (PwMS).

Objective: To evaluate the ability of NT identifying the presence of SDMT defined PwMS-cognitive impairment and the degree it correlates with traditional measures.

Methods: Prospective study to determine whether NT scores can predict cognitive impairment as defined by SDMT scores, and correlate NT scores with scores from traditional measures across a variety of cognitive domains.

Results: 46 PwMS and 15 healthy controls. NT- GCS, attention, executive function, memory differentiate cognitive dysfunction in PwMS from normal (defined by SDMT) (p< 0.001), and spatial and speed (p=0.03). NT Global score predicts level of impairment per SDMT: 83% specificity, 58% specificity, >70% positive and negative predictive values. NT cognitive domains correlate with traditional measures: NT-memory vs SRT (p< 0.001, r=.54); NT-attention vs PASAT (p< 0.001, r=.46), SDMT-oral (P< 0.001, r=.64); NT-speed vs PASAT-total (p< 0.003, r=-.38); NT-executive vs DKEFS-CS (p< 0.001, r=.54), FAS (p< 00.01, r=.32), and Animal (p< 0.002, r=.38); NT-verbal vs FAS and Animal (not significant); NT-spatial vs JLO (p< 0.02, r=-.30).

Conclusions: In a preliminary analysis of a larger study, NeuroTrax computerized cognitive testing appears to be useful as a cognitive screen in PwMS. Cognitive impairment in PwMS is common and analysis of cognitive burden of disease by NT could be incorporated into routine care to provide cognitive information that is unique/important and patient centric but not provided by EDSS, relapse rate or MRI findings.

Disclosure: All; nothing to disclose

Abstract: P888

Type: Poster

Abstract Category: Clinical aspects of MS - Clinical assessment tools

Background: Multiple Sclerosis (MS), evaluated by EDSS, relapse and MRI, but none provide cognitive information. Cognitive function impacts: employment, Quality of Life, risk of falling. Traditional measures evaluating cognitive function: employ single score screens, limited availability, and difficult to incorporate into routine care. Computerized cognitive testing can easily incorporate into routine MS care and provide an objective method to screen and track changing disease impact. NeuroTrax computerized cognitive testing (NT) is one digital method to obtain a screening profile in people with MS (PwMS).

Objective: To evaluate the ability of NT identifying the presence of SDMT defined PwMS-cognitive impairment and the degree it correlates with traditional measures.

Methods: Prospective study to determine whether NT scores can predict cognitive impairment as defined by SDMT scores, and correlate NT scores with scores from traditional measures across a variety of cognitive domains.

Results: 46 PwMS and 15 healthy controls. NT- GCS, attention, executive function, memory differentiate cognitive dysfunction in PwMS from normal (defined by SDMT) (p< 0.001), and spatial and speed (p=0.03). NT Global score predicts level of impairment per SDMT: 83% specificity, 58% specificity, >70% positive and negative predictive values. NT cognitive domains correlate with traditional measures: NT-memory vs SRT (p< 0.001, r=.54); NT-attention vs PASAT (p< 0.001, r=.46), SDMT-oral (P< 0.001, r=.64); NT-speed vs PASAT-total (p< 0.003, r=-.38); NT-executive vs DKEFS-CS (p< 0.001, r=.54), FAS (p< 00.01, r=.32), and Animal (p< 0.002, r=.38); NT-verbal vs FAS and Animal (not significant); NT-spatial vs JLO (p< 0.02, r=-.30).

Conclusions: In a preliminary analysis of a larger study, NeuroTrax computerized cognitive testing appears to be useful as a cognitive screen in PwMS. Cognitive impairment in PwMS is common and analysis of cognitive burden of disease by NT could be incorporated into routine care to provide cognitive information that is unique/important and patient centric but not provided by EDSS, relapse rate or MRI findings.

Disclosure: All; nothing to disclose

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