Related Experiment Video
Updated: Jan 19, 2026

Evaluation of the Cognitive Performance of Hypertensive Patients with Silent Cerebrovascular Lesions
Published on: April 23, 2021
Distinctive clinical features of mild cognitive impairment with subcortical cerebrovascular disease
Samantha Galluzzi1, Ching-Fan Sheu, Orazio Zanetti
1Laboratory of Epidemiology and Neuroimaging, IRCCS San Giovanni di Dio - FBF, via Pilastroni 4, IT-25125 Brescia, Italy.
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.
Insights
Identifying subcortical vascular mild cognitive impairment (svMCI) is crucial. Core and supporting clinical features, including extrapyramidal signs and urinary symptoms, effectively distinguish svMCI from amnestic MCI (aMCI).
Area of Science:
- Neurology
- Geriatrics
- Cognitive Science
Background:
- Subcortical vascular mild cognitive impairment (svMCI) is associated with poorer patient outcomes.
- Accurate identification of svMCI is essential for appropriate patient management.
- Distinguishing svMCI from amnestic MCI (aMCI) is clinically important.
Purpose of the Study:
- To identify core and supporting clinical features for recognizing svMCI.
- To discriminate svMCI patients from aMCI patients.
- To evaluate the diagnostic utility of specific clinical assessments.
Main Methods:
- Stepwise logistic regression analysis was used to identify discriminating features.
- Twenty-nine svMCI and 14 aMCI patients were assessed in a memory clinic.
- Receiver operating characteristic (ROC) curves estimated discrimination accuracy.
Main Results:
- Extrapyramidal sign scale and letter fluency showed high discrimination accuracy (0.75).
- Neuropsychiatric Inventory irritability and urinary dependence also contributed significantly (0.66).
- A combined model of core and supporting features achieved high overall accuracy (0.98).
Conclusions:
- Clinical criteria for svMCI, encompassing core and supporting features, are valuable for identification.
- All assessed domains independently contribute to recognizing svMCI.
- These criteria can aid clinicians in identifying svMCI in clinical settings.
Related Concept Videos
Coronary Artery Disease III: Clinical Manifestations
Peripheral Arterial Disease II: Clinical Manifestations and Diagnostic Evaluation
Endocarditis II: Clinical Features of Infective Endocarditis
Dementia
The progression of dementia is generally gradual....
Alzheimer's Disease: Overview
The clinical diagnosis of AD hinges on the presence of memory and other cognitive impairments. Biomarkers, such as changes in Aβ...
Cognitive Development During Adulthood

