Detecting cognitive dysfunction in a busy multiple sclerosis clinical setting: a computer generated approach

Area of Science:

• Neuroscience
• Clinical Neurology
• Psychometrics

Background:

• Cognitive impairment is a significant challenge in multiple sclerosis (MS).
• Differentiating cognitive deficits across MS disease courses (CIS, RRMS, PPMS, SPMS) is crucial for patient management.
• Existing assessment methods may be time-consuming for routine clinical use.

Purpose of the Study:

• To evaluate a brief, computerized cognitive test battery for detecting cognitive differences in patients with various MS subtypes.
• To assess the battery's ability to differentiate between clinically isolated syndromes (CIS), relapsing-remitting MS (RRMS), primary progressive MS (PPMS), and secondary progressive MS (SPMS).

Main Methods:

• A cohort of 136 MS patients (CIS, RRMS, PPMS, SPMS) aged 18-63 was recruited.
• Participants completed five validated computerized cognitive tests, including STROOP, Symbol Digit Modalities Test, and Paced Visual Serial Addition Test (PVSAT).
• A speed of cognition index was derived from reaction time measures.

Main Results:

• Significant cognitive differences were observed between MS groups on most tests (P < 0.01), except PVSAT 2s trial.
• Clinically isolated syndrome (CIS) patients showed the least impairment, while secondary progressive MS (SPMS) patients exhibited the most significant deficits.
• Relapsing-remitting MS (RRMS) and primary progressive MS (PPMS) patients presented similar cognitive profiles, falling between CIS and SPMS impairment levels.
• These distinctions remained significant after adjusting for age and education.

Conclusions:

• The computerized cognitive battery effectively distinguishes cognitive decline across the MS disease spectrum.
• The test's brevity (20 minutes) and ease of administration support its clinical utility.
• This tool enhances construct validity by demonstrating sensitivity to MS disease progression.