Risk Prediction and Its Intelligent Assessment for Cognitive Impairment Among Community-dwelling Older Adults

Peking University Sixth Hospital

Status: Completed

Conditions: Aging; Cognitive Impairment; Cohort; Predictive Model

Study type: Observational

Funder types: Other

Identifiers

NCT05385874

SHOUFA2020-3-4114

Details and patient eligibility

About

Cognitive impairment is one of the core early signs of dementia, and it is also a key stage for community-based dementia prevention. Accurate and convenient prediction of cognitive impairment can help the community to identify and manage the high-risk population of dementia. Previous studies had developed several dementia predicting models, but such models may be not suitable for cognitive impairment prediction. Based on the national representative follow-up data of Chinese Longitudinal Healthy Longevity Survey (CLHLS), this project aims to develop and validate a brief cognitive impairment prediction algorithm among the community-dwelling elderly, using machine learning methods (such as Logistic regression, Naïve Bayes model, Extreme Gradient Boosting Tree and so on). Finally, based on the constructed model, an easy-to-use online intelligent assessment tool for predicting cognitive impairment risk will be developed. The general practitioners, social workers and the elderly would be invited to use the tool and we will revise the tool according to their suggestions and comments. This project is expected to provide scientific basis and technical support for community-based dementia prevention, and will also be useful for the elderly to easily understand their cognitive health.

Enrollment: 13,228 patients

Sex: All

Ages: 65+ years old

Volunteers: Accepts Healthy Volunteers

Inclusion criteria

1. Aged 65 or over at baseline;
2. With normal cognitive function at baseline (score ≥ 18 on the Chinese version of Mini-Mental State Examination, MMSE);
3. Completed MMSE assessment three years later;
4. Provided informed consent voluntarily.

Exclusion criteria

1. Aged <65;
2. had a history of dementia or MMSE score < 18 at baseline;
3. lost to follow-up or without cognitive function assessment three years later;
4. Refused to participate the survey.

Trial design

13,228 participants in 2 patient groups

Training cohort

Description:

The training cohort will be used for model development.

Testing cohort

Description:

The testing cohort, a new cohort compared with the training cohort, will be used for model external validation.