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Updated: Jun 28, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
An application study: 21-item Subjective Cognitive Decline Questionnaire in detecting mild cognitive impairment.
Lixiao Hao1, Yue Xing2, Ying Han3,4,5
1Department of General Practice, Xuanwu Hospital of Capital Medical University, Beijing, China.
The Subjective Cognitive Decline Questionnaire (SCD-Q21) shows modest ability to detect mild cognitive impairment (MCI) alone but improves significantly when combined with other health factors. This tool aids in early detection of MCI in community settings.
Area of Science:
- Neuroscience
- Gerontology
- Psychometrics
Background:
- Subjective Cognitive Decline (SCD) is a prevalent early symptom in Mild Cognitive Impairment (MCI).
- Limited evidence exists on the efficacy of the 21-item SCD Questionnaire (SCD-Q21) in distinguishing MCI from normal cognition (NC).
- The SCD-Q21's utility for early MCI detection in community settings requires further investigation.
Purpose of the Study:
- To evaluate the discriminative performance of the Chinese SCD-Q21 compared to the SCD-Q9 for early MCI detection.
- To assess the added value of demographic and clinical covariates to the SCD-Q21.
- To determine an optimal cut-off score for the SCD-Q21 in identifying MCI.
Main Methods:
- A cross-sectional study involving 294 NCs and 83 individuals with MCI.
- Participants completed the SCD-Q21, SCD-Q9, Hamilton Anxiety Scale (HAMA), and Hamilton Depression Scale (HAMD).
- Logistic regression and Receiver Operating Characteristic (ROC) analyses were employed to assess discrimination and identify optimal cut-offs.
Main Results:
- The SCD-Q21 total scores were significantly higher in the MCI group.
- Lower education, higher Body Mass Index (BMI), and higher SCD-Q21 scores were independently associated with MCI.
- Combined use of SCD-Q21 with covariates (age, sex, education, BMI, HAMA/HAMD) achieved an Area Under the Curve (AUC) of approximately 0.91.
Conclusions:
- The SCD-Q21 offers independent information but has moderate standalone discriminative power for MCI.
- Integrating SCD-Q21 with simple covariates enhances its utility for efficient MCI case-finding in community settings.
- A SCD-Q21 cut-off score of ≥7 demonstrated 69.88% sensitivity and 62.93% specificity.
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