Cognitive Profiles of Aging in Multiple Sclerosis

被引:37
作者
Jakimovski, Dejan [1 ,2 ]
Weinstock-Guttman, Bianca [1 ]
Roy, Shumita [1 ]
Jaworski, Michael, III [1 ]
Hancock, Laura [3 ]
Nizinski, Alissa [1 ]
Srinivasan, Pavitra [1 ]
Fuchs, Tom A. [1 ,2 ]
Szigeti, Kinga [1 ]
Zivadinov, Robert [1 ,2 ,4 ]
Benedict, Ralph H. B. [1 ]
机构
[1] Univ Buffalo State Univ New York, Dept Neurol, Jacobs Sch Med & Biomed Sci, Buffalo, NY 14260 USA
[2] Univ Buffalo State Univ New York, Dept Neurol, Buffalo Neuroimaging Anal Ctr, Jacobs Sch Med & Biomed Sci, Buffalo, NY USA
[3] Univ Wisconsin, Dept Neurol, Sch Med & Publ Hlth, Madison, WI 53706 USA
[4] Univ Buffalo State Univ New York, Ctr Biomed Imaging, Clin Translat Sci Inst, Buffalo, NY USA
来源
FRONTIERS IN AGING NEUROSCIENCE | 2019年 / 11卷
关键词
aging; MS; cognition; processing speed; verbal fluency; ALZHEIMERS-DISEASE;
D O I
10.3389/fnagi.2019.00105
中图分类号
R592 [老年病学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 100203 ;
摘要
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 categorybased 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.
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页数:8
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