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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

8.1K

Assessing Mild Behavioral Impairment with the Mild Behavioral Impairment-Checklist in People with Mild Cognitive

Sabela C Mallo1, Zahinoor Ismail2,3,4,5, Arturo X Pereiro1

  • 1Department of Developmental Psychology, University of Santiago de Compostela, Santiago, de Compostela, Galicia, Spain.

Journal of Alzheimer'S Disease : JAD
|September 4, 2018
PubMed
Abstract

Insights

Mild behavioral impairment (MBI) affects 14.2% of individuals with mild cognitive impairment (MCI). The Mild Behavioral Impairment Checklist (MBI-C) effectively detects these symptoms, which correlate with memory complaints and depression.

Area of Science:

  • Neurology
  • Geriatrics
  • Psychiatry

Background:

  • Neuropsychiatric symptoms (NPS) are common in mild cognitive impairment (MCI) and increase dementia risk.
  • Mild behavioral impairment (MBI) describes late-life NPS in pre-dementia stages.
  • The Mild Behavioral Impairment Checklist (MBI-C) is a novel tool for assessing MBI.

Purpose of the Study:

  • Estimate MBI prevalence in MCI patients.
  • Evaluate the MBI-C's score distribution, sensitivity, specificity, and diagnostic utility.
  • Correlate MBI-C scores with neuropsychological test results.

Main Methods:

  • 111 MCI participants were assessed using various questionnaires, including the MBI-C administered to informants.
  • Statistical analyses included descriptive statistics, logistic regression, ROC curve analysis, and bivariate correlations.

Main Results:

  • The prevalence of MBI in the MCI cohort was 14.2%.
  • An MBI-C total score cutoff of 6.5 demonstrated optimal sensitivity and specificity for MBI detection.
  • MBI-C scores positively correlated with subjective memory complaints, depressive symptoms, and the Neuropsychiatric Inventory-Questionnaire (NPI-Q).

Conclusions:

  • The MBI-C, administered via phone, is a sensitive tool for detecting MBI in individuals with MCI.
  • MBI symptoms in MCI are linked to subjective memory complaints, depression, and reduced Instrumental Activities of Daily Living.
  • Further research is needed to determine the predictive value of NPS in MCI for future dementia.
Keywords:
Behavioral and psychological symptoms of dementiadementiamild behavioral impairmentmild cognitive impairmentneuropsychiatric symptomspreclinical dementiaprodromal dementia

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