Refining Risk Prediction Models for Older Adults Using Electronic Health Records
Part of paid clinical trials in Los Angeles, California.
- Sponsor
- University of California, Los Angeles
- Study ID
- NCT06995365
- Status
- Not Yet Recruiting
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Conditions
- Predictive Modeling
Eligibility Criteria
- Sex
- ALL
- Age
- 65 Years - N/A
- Healthy Volunteers
- Not accepted
Interventions
- Risk Prediction Model — OTHERThis study analyzes retrospective electronic health record (EHR) data from older adults to refine and validate a predictive model for other conditions in future studies.
Study Details
This study aims to improve how lab results are communicated to older adults by refining a predictive model that uses electronic health record (EHR) data. The model was originally developed to estimate the risk of chronic kidney disease (CKD) progression. Researchers will use existing health data to test and improve the accuracy of the model and explore how it might be adapted for use in other health conditions. The study does not involve direct interaction with patients and is conducted entirely using de-identified data in a secure environment.
Key Dates
- Start date
- Aug 31, 2025
- Status verified
- May 2025
- Primary completion
- Dec 31, 2025
- Completion
- Mar 31, 2026
Study Design
- Enrollment
- 18,000 participants (estimated)
Primary Outcome Measure
Performance of the Risk Prediction Model [ Time Frame: Up to 5 years of retrospective follow up ]
Central Contacts
- Katelyn Nguyen13102675250
Locations (1)
| Facility | City | State | ZIP | Site coordinators |
|---|---|---|---|---|
| UCLA Health System | Los Angeles | California | 90024 | - |