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Cognitive Profiles of Aging in Multiple Sclerosis

BACKGROUND: Increasingly favorable mortality prognosis in multiple sclerosis (MS) raises questions regarding MS-specific cognitive aging and the presence of comorbidities such as Alzheimer’s disease (AD). OBJECTIVE: To assess elderly with MS (EwMS) and age-matched healthy controls (HCs) using both M...

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Detalles Bibliográficos
Autores principales: Jakimovski, Dejan, Weinstock-Guttman, Bianca, Roy, Shumita, Jaworski, Michael, Hancock, Laura, Nizinski, Alissa, Srinivasan, Pavitra, Fuchs, Tom A., Szigeti, Kinga, Zivadinov, Robert, Benedict, Ralph H. B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6524468/
https://www.ncbi.nlm.nih.gov/pubmed/31133845
http://dx.doi.org/10.3389/fnagi.2019.00105
Descripción
Sumario:BACKGROUND: Increasingly favorable mortality prognosis in multiple sclerosis (MS) raises questions regarding MS-specific cognitive aging and the presence of comorbidities such as Alzheimer’s disease (AD). OBJECTIVE: To assess elderly with MS (EwMS) and age-matched healthy controls (HCs) using both MS- and AD-specific psychometrics. METHODS: EwMS (n = 104) and 56 HCs were assessed on a broad spectrum of language, visual-spatial processing, memory, processing speed, and executive function tests. Using logistic regression analysis, we examined cognitive performance differences between the EwMS and HC groups. Cognitive impairment (CI) was defined using a -1.5 SD threshold relative to age and education years-matched HCs, in two cognitive domains. RESULTS: CI was observed in 47.1% of EwMS with differences most often seen on tests emphasizing cognitive processing speed as measured by Symbol Digit Modalities Test (SDMT) (d = 0.9, p < 0.001) and verbal fluency (both category-based d = 0.87, p < 0.001; letter-based d = 0.67, p < 0.001). After adjusting for age, sex and years of education, MS/HC diagnosis was best predicted (R(2) = 0.27) by differences in category-based verbal fluency (Wald = 9.935, p = 0.002) and SDMT (Wald = 13.937, p < 0.001). CONCLUSION: This study confirms the common hallmark of slowed cognitive processing speed in MS among elderly patients. Defective verbal fluency, less often observed in younger cohorts, may represent emerging cognitive pathology due to other etiologies.