Clinical Risk Score Prediction for Risk of Dementia Among Late-life Population With Depression

The goal of this observational study is to learn about the ability of a point risk score prediction model, developed using electronic medical record data, to predict the risk of progression from geriatric depression to dementia in older Chinese adults. The main questions it aims to answer are: Does a higher point risk score increase the risk of developing dementia in older adults with depression? What is the accuracy of the point risk score prediction model in identifying individuals at high risk of dementia among older adults with depression? Participants will receive their usual medical care as they normally would. No new treatments, tests, or procedures will be performed specifically for this study. The research team will collect data from their electronic medical records, including depression diagnoses, dementia diagnoses, comorbidities, medication records, and follow-up information. The point risk score will be calculated based on these routinely collected clinical data.