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

Aging Clinical Trial

Official title:

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

Clinical Trial Details — Status: Completed

Administrative data

• NCT number: NCT05385874
• Other study ID #: SHOUFA2020-3-4114
• Status: Completed
• Start date: April 1, 2022
• Est. completion date: December 30, 2023

Study information

• Verified date: April 2024
• Source: Peking University Sixth Hospital
• Contact: n/a
• Is FDA regulated: No
• Study type: Observational

Clinical Trial Summary

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.

Recruitment information / eligibility

• Status: Completed
• Enrollment: 13228
• Est. completion date: December 30, 2023
• Est. primary completion date: December 30, 2023
• Accepts healthy volunteers: Accepts Healthy Volunteers
• Gender: All
• Age group: 65 Years and older

Eligibility

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.

Related Conditions & MeSH terms

• Aging
• Cognitive Dysfunction
• Cognitive Impairment
• Predictive Model

Locations

Country	Name	City	State
China	Peking University Six Hospital	Beijing

Sponsors (1)

Lead Sponsor	Collaborator
Peking University Sixth Hospital

Country where clinical trial is conducted

China, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	AUC	the AUC of the prediciton model based on the test data	an average of 3 years after baseline assessement
Secondary	sensitivity	the sensitivity of the prediciton model based on the test data	an average of 3 years after baseline assessement
Secondary	specificity	the specificity of the prediciton model based on the test data	an average of 3 years after baseline assessement
Secondary	positive predictive value	the positive predictive value of the prediciton model based on the test data	an average of 3 years after baseline assessement
Secondary	negative predictive value	the negative predictive value of the prediciton model based on the test data	an average of 3 years after baseline assessement