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.

Abstract

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.

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