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Updated: Jul 20, 2026
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
A point-based cognitive impairment scoring system for southeast Asian adults
Wei Ying Tan1, Xiangyuan Huang1, Caroline Robert2
1Saw Swee Hock School of Public Health, National University of Singapore, Singapore. Tahir Foundation Building, 12 Science Drive 2 117549, Singapore.
Background:
Cognitive impairment is a growing concern in Southeast Asian populations, where the burden of cerebrovascular disease (CeVD) is high. Currently, there is no point-based scoring system for identifying cognitive impairment in these populations.
Objective:
To develop and validate a simple point-based Cognitive Impairment Scoring System (CISS) for identifying individuals with cognitive impairment no dementia (CIND) and concomitant CeVD in Southeast Asian populations.
Design:
A cross-sectional study using data from two population-based studies.
Setting:
Community-based setting in Southeast Asia.
Participants:
1,511 Southeast Asian adults (664 with CIND, 44.0 %).
Measures:
Two CISS measures were developed: a basic measure including 11 easily assessable risk factors, and an extended measure incorporating seven additional neuroimaging markers. Performance was evaluated using receiver operating characteristic analysis (AUC) and calibration plots.
Results:
The AUC for CISS-basic and CISS-extended were 0.81 (95 %CI, 0.76-0.86) and 0.85 (95 %CI, 0.81-0.89), respectively. Calibration plots indicated satisfactory fit for both the basic measure (p=0.82) and the extended measure (p=0.17). The basic measure included age, gender, ethnicity, education, systolic blood pressure, BMI, smoking history, diabetes, hyperlipidemia, stroke history, and mild/moderate depression. The extended measure added neuroimaging markers of CeVD and brain atrophy.
Conclusion:
The CISS provides a quick, objective, and clinically relevant tool for assessing cognitive impairment risk in Southeast Asian populations. The basic measure is suitable for initial community-based screenings, while the extended measure offers higher specificity for probable diagnosis. This point-based system enables rapid estimation of cognitive status without requiring complex calculations, potentially improving early detection and management of cognitive impairment in clinical practice.
