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Updated: Jul 18, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Level of cognitive impairment predicts mortality in high-risk community samples: the memory and medical care study
Hochang B Lee1, Judy D Kasper, Andrew D Shore
1The Johns Hopkins University School of Medicine, 550 N. Broadway, Suite 308, Baltimore, MD 21205, USA. Hochang@jhmi.edu
Abstract:
Over the course of 3 years, the authors investigated the relationship between severity of cognitive impairment and mortality in a community sample of 498 elders at high risk for cognitive impairment. Subjects were classified as having no cognitive disorder, mild cognitive impairment, or dementia, based on a validated battery of four neuropsychological tests. Severity of impairment was based on Mini-Mental State Examination scores. Additional data were obtained from subjects' knowledgeable informants and Medicare records. Kaplan-Meier survival estimates and Cox hazard proportion analysis of the sample revealed that presence of cognitive impairment increases mortality in a fashion that parallels the severity of the impairment.
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