Distinctive clinical features of mild cognitive impairment with subcortical cerebrovascular disease

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Abstract

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.

Original languageEnglish
Pages (from-to)196-203
Number of pages8
JournalDementia and Geriatric Cognitive Disorders
Volume19
Issue number4
DOIs
Publication statusPublished - 2005

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Cerebrovascular Disorders
Confidence Intervals
Institutionalization
Behavioral Symptoms
Vascular Dementia
Memory Disorders
Gait
ROC Curve
Cognitive Dysfunction
Logistic Models
Regression Analysis
Equipment and Supplies
Mortality

Keywords

  • Cerebrovascular disease
  • Mild cognitive impairment
  • Small vessel disease
  • Subcortical vascular cognitive impairment

ASJC Scopus subject areas

  • Neuropsychology and Physiological Psychology
  • Geriatrics and Gerontology

Cite this

@article{4eca8c39b7fd4922bb2723c7fa3a95ad,
title = "Distinctive clinical features of mild cognitive impairment with subcortical cerebrovascular disease",
abstract = "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.",
keywords = "Cerebrovascular disease, Mild cognitive impairment, Small vessel disease, Subcortical vascular cognitive impairment",
author = "Samantha Galluzzi and Sheu, {Ching Fan} and Orazio Zanetti and Frisoni, {Giovanni B.}",
year = "2005",
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T1 - Distinctive clinical features of mild cognitive impairment with subcortical cerebrovascular disease

AU - Galluzzi, Samantha

AU - Sheu, Ching Fan

AU - Zanetti, Orazio

AU - Frisoni, Giovanni B.

PY - 2005

Y1 - 2005

N2 - 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.

AB - 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.

KW - Cerebrovascular disease

KW - Mild cognitive impairment

KW - Small vessel disease

KW - Subcortical vascular cognitive impairment

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