Distinctive clinical features of mild cognitive impairment with subcortical cerebrovascular disease

Samantha Galluzzi, Ching Fan Sheu, Orazio Zanetti, Giovanni B. Frisoni

研究成果: Article同行評審

101 引文 斯高帕斯(Scopus)

摘要

Background and Purpose: Patients with mild cognitive impairment and subcortical cerebrovascular disease (svMCI) can be isolated using criteria modified from those of Erkinjuntti et al. for subcortical vascular dementia and have poorer outcomes (cognitive deterioration, disability, institutionalization, and mortality). The aim of this study was to test which of the core (dysexecutive syndrome with relative sparing of memory, gait disorders and extrapyramidal signs) and supporting (urinary and behavioral symptoms) clinical features are most useful to recognize patients with svMCI and discriminate them from those with amnestic MCI (aMCI). Methods: Twenty-nine svMCI and 14 aMCI patients were seen in a memory clinic. Tests and scales assessing core and supporting features that independently contributed to the discrimination between svMCI and aMCI were identified with stepwise logistic regression analysis. The accuracy of the discrimination was estimated with area under the receiver operating characteristic curve and 95% confidence intervals (CIs). Results: The most accurate scales were the extrapyramidal sign scale by Richards et al. (0.75, 95% CI 0.61-0.89), letter fluency (0.75, 95% CI 0.61-0.90), irritability of the Neuropsychiatric Inventory and urinary dependence (0.66, 95% CI 0.49-0.82 for both), and digit span forward (0.59,95% CI 0.41-0.77). The overall accuracy of a model compounding information from main and supporting features was 0.98, 95% CI 0.94-1.0. Conclusions: All the domains that are included in the clinical criteria for svMCI independently contribute to the identification of the condition. These criteria can be useful to recognize svMCI patients in clinical settings.

原文English
頁(從 - 到)196-203
頁數8
期刊Dementia and Geriatric Cognitive Disorders
19
發行號4
DOIs
出版狀態Published - 2005

All Science Journal Classification (ASJC) codes

  • 老年病學和老年學
  • 認知神經科學
  • 精神病學和心理健康

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