Related Experiment Video

Updated: Jun 25, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

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

Published on: January 11, 2020

Predictive value of mild cognitive impairment for dementia. The influence of case definition and age

M A E Baars1, M P J van Boxtel, J B Dijkstra

  • 1Department of Psychiatry and Neuropsychology, School for Public Health and Primary Care CAPHRI, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands. lia.baars@np.unimaas.nl

Dementia and Geriatric Cognitive Disorders
|February 10, 2009
PubMed
Abstract

Insights

Predicting dementia risk is improved by considering multiple cognitive domains for mild cognitive impairment (MCI). Older adults (70+) show better prediction accuracy, regardless of self-reported symptoms.

Area of Science:

  • Neurology
  • Gerontology
  • Cognitive Science

Background:

  • Mild cognitive impairment (MCI) definitions vary in population studies.
  • Accurate prediction of dementia from MCI is crucial for early intervention.
  • The influence of age on MCI's predictive value for dementia is not fully understood.

Purpose of the Study:

  • To compare the predictive values of different MCI definitions for dementia.
  • To investigate the effect of age on the predictive accuracy of MCI for dementia.

Main Methods:

  • Utilized data from the longitudinal Maastricht Aging Study.
  • Evaluated various MCI definitions, considering multiple cognitive domains and subjective complaints.
  • Analyzed the impact of age groups (60-70 vs. 70-85 years) on prediction accuracy.

Main Results:

  • Mild cognitive impairment (MCI) best predicted dementia when multiple cognitive domains were assessed (sensitivity: 0.66, specificity: 0.78).
  • Subjective complaints did not improve dementia prediction accuracy.
  • Age significantly influenced MCI's sensitivity for dementia prediction, with higher sensitivity in older age groups (70-85 years: 0.70 vs. 60-70 years: 0.56).

Conclusions:

  • The most effective prediction of dementia involves assessing multiple cognitive domains in individuals aged 70 and older.
  • Subjective complaints are not essential for accurate dementia prediction when using a multi-domain MCI approach.
  • Age is a significant factor modulating the predictive power of MCI for future dementia.

More Related Videos

The 4 Mountains Test: A Short Test of Spatial Memory with High Sensitivity for the Diagnosis of Pre-dementia Alzheimer's Disease06:23

The 4 Mountains Test: A Short Test of Spatial Memory with High Sensitivity for the Diagnosis of Pre-dementia Alzheimer's Disease

Published on: October 13, 2016

Highlighting and Reducing the Impact of Negative Aging Stereotypes During Older Adults' Cognitive Testing06:58

Highlighting and Reducing the Impact of Negative Aging Stereotypes During Older Adults' Cognitive Testing

Published on: January 24, 2020

Related Concept Videos

Dementia l: Introduction01:22

Dementia l: Introduction

Dementia is an acquired, progressive syndrome characterized by a decline in multiple cognitive domains severe enough to impair daily functioning and reduce independence. Although memory loss is a central feature, the diagnosis requires additional deficits involving language, executive function, visuospatial skills, judgment, calculation, or abstract reasoning. These cognitive impairments reflect underlying neurodegenerative or vascular processes that gradually disrupt neuronal networks...
Alzheimer Disease l: Introduction01:29

Alzheimer Disease l: Introduction

Alzheimer disease is a chronic, progressive, and irreversible neurodegenerative disorder and the most common cause of dementia in older adults. It leads to gradual neuronal loss, causing cognitive decline, behavioral changes, and loss of functional independence.Risk Factors and EtiologyThe disease is multifactorial. Age is the strongest risk factor, with prevalence doubling every 5 years after age 65. Genetic factors include mutations in genes such as APP, PSEN1, and PSEN2, which are associated...
Cognitive Development During Adulthood01:30

Cognitive Development During Adulthood

Cognitive development continues throughout adulthood, undergoing significant shifts across early, middle, and late stages. Individual transition occurs from adolescent idealism to pragmatic and adaptable thinking in early adulthood. During this period, individuals learn to integrate personal beliefs with the recognition that other perspectives are equally valid. Exposure to the complexities of modern society, diverse experiences, and higher education contribute to this adaptive thought process,...
Dementia01:30

Dementia

Dementia is a collective term for cognitive disorders primarily affecting memory, thinking, and reasoning. It is not a specific disease but a syndrome, with Alzheimer's disease being the most common cause, accounting for approximately 60-80% of cases. Other types include vascular dementia, Lewy body dementia, and frontotemporal dementia. Dementia affects millions worldwide, particularly older adults, though it is not a normal part of aging.
The progression of dementia is generally gradual.
Alzheimer's Disease: Overview01:26

Alzheimer's Disease: Overview

Alzheimer's Disease (AD) is a continually advancing neurodegenerative disorder, distinguished by escalating memory loss, cognitive dysfunction, and dementia. The disease unfolds in three stages: preclinical, mild cognitive impairment (MCI), and dementia. Its onset is insidious, and the progression gradual, with the cause not well explained by other disorders.
The clinical diagnosis of AD hinges on the presence of memory and other cognitive impairments. Biomarkers, such as changes in Aβ and tau...
Sensitivity, Specificity, and Predicted Value01:13

Sensitivity, Specificity, and Predicted Value

In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
Sensitivity is the...