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Updated: Aug 12, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Age and Marital Status Predict Mild Cognitive Impairment During Acute Coronary Syndrome Admission: An Observational
Background:
Mild cognitive impairment (MCI) has been reported after acute coronary syndrome (ACS), but it is uncertain who is at risk, particularly during inpatient admission.
Objective:
In this study, we aimed to explore the prevalence and cognitive domains affected in MCI during ACS admission and determine factors that identify patients most at risk of MCI.
Methods:
Inpatients with ACS were consecutively recruited from 2 tertiary hospital cardiac wards and screened with the Montreal Cognitive Assessment and the Hopkins Verbal Learning Test. Screening included health literacy (Newest Vital Sign), depressive symptoms (Patient Health Questionnaire-9), and physical activity (Physical Activity Scale for the Elderly). Factors associated with MCI were determined using logistic regression.
Results:
Participants (n = 81) had a mean (SD) age of 63.5 (10.9) years, and 82.7% were male. In total, MCI was identified in 52.5%, 42.5% with 1 screen and 10% with both. Individually, the Montreal Cognitive Assessment identified MCI in 48.1%, and the Hopkins Verbal Learning Test identified MCI in 13.8%. In Montreal Cognitive Assessment screening, the cognitive domains in which participants most frequently did not achieve the maximum points available were delayed recall (81.5%), visuospatial executive function (48.1%), and attention (30.9%). Accounting for education, depression, physical activity, and ACS diagnosis, the likelihood of an MCI positive screen increased by 11% per year of age (odds ratio, 1.11; 95% confidence interval, 1.04-1.18) and by 3.6 times for those who are unmarried/unpartnered (odds ratio, 3.61; 95% confidence interval, 1.09-11.89).
Conclusion:
An estimated half of patients with ACS screen positive for MCI during admission, with single and older patients most at risk. Multiple areas of thinking were affected with potential impact on capacity for learning heart disease management.
Insights
Mild cognitive impairment (MCI) affects about half of patients admitted for acute coronary syndrome (ACS). Older age and being unmarried increase the risk for MCI in these patients.
Area of Science:
- Cardiology
- Neurology
- Geriatrics
Background:
- Mild cognitive impairment (MCI) is a known complication following acute coronary syndrome (ACS).
- Identifying patients at risk for MCI during ACS inpatient admission remains unclear.
Purpose of the Study:
- To determine the prevalence and affected cognitive domains of MCI in patients admitted for ACS.
- To identify factors associated with increased risk of MCI in this population.
Main Methods:
- Consecutive inpatients with ACS were recruited from two tertiary hospital cardiac wards.
- Cognitive function was screened using the Montreal Cognitive Assessment and Hopkins Verbal Learning Test.
- Health literacy, depressive symptoms, and physical activity were also assessed; logistic regression identified MCI risk factors.
Main Results:
- Of 81 participants (mean age 63.5 years, 82.7% male), 52.5% screened positive for MCI.
- The Montreal Cognitive Assessment identified MCI in 48.1% of patients, with delayed recall, visuospatial executive function, and attention most affected.
- Increased age (OR 1.11 per year) and being unmarried (OR 3.61) were significant predictors of MCI, even after accounting for education, depression, physical activity, and ACS diagnosis.
Conclusions:
- Approximately half of patients with ACS exhibit MCI during admission, with older and unmarried individuals being most vulnerable.
- Affected cognitive domains, including memory and executive function, may impair patients' ability to manage heart disease.
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