Thalamic atrophy, duration of illness, and years of education are the best predictors of cognitive impairment in multiple sclerosis

Pub Date : 2022-05-16 DOI:10.1111/cen3.12705
Eman M. Khedr, Tarek Desoky, Ayman Gamea, Mohammed Y. Ezzeldin, Ahmed F. Zaki
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Abstract

Background

Cognitive impairment (CI) is common in multiple sclerosis. We assessed the relationship between CI and demographic, motor disability, and volumetric brain atrophy in relapsing remitting multiple sclerosis (RRMS).

Methods

In all, 43 RRMS patients and 40 age- sex-, and education-matched normal volunteers were enrolled. Assessments included: demographic, Expanded Disability Status Scale (EDSS); Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS); and brain volumetric assessment.

Results

The mean age of onset of RRMS patients was 25.72 y and the mean number of attacks was 3.30 ± 2.33/year. The total brain volume, cerebral, and cerebellar hemispheres, brainstem as well as thalamic and hippocampal gray matter were significantly reduced in RRMS patients compared with controls.

CI was detected in 41.9% of patients. Patients with CI had fewer years of education (P = .001), a higher number of attacks (P = .002), worse EDSS scores (P = .030); reduced gray matter volume, particularly of the thalamus, and hippocampus compared with patients without CI. There were significant negative correlations between CI with duration of illness, number of attacks, time elapsed between onset and diagnosis, and EDSS. Thalamic volume showed strong positive correlations with CI (P < .0001). The best predictors of CI were thalamic atrophy, duration of illness, and years of education (P = .001, .010, and .035 respectively).

Conclusion

We confirmed the presence of gray matter atrophy of the brain in RRMS patients. Volumetric magnetic resonance imaging measures of thalamus, duration of illness, and years of education could be useful biomarkers of CI in RRMS.

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丘脑萎缩、病程和受教育年限是多发性硬化症中认知障碍的最佳预测指标
认知障碍(CI)在多发性硬化症中很常见。我们评估了复发缓解型多发性硬化症(RRMS)患者CI与人口统计学、运动障碍和体积性脑萎缩之间的关系。
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