Refining Risk Prediction Models for Older Adults Using Electronic Health Records

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.

NCT Number	NCT06995365
Lead Sponsor	University of California, Los Angeles
Conditions	Predictive Modeling
Enrollment	18,000 participants
Start Date	2026-09
Primary Completion	2027-12 (estimated)
Study Completion	2028-03 (estimated)
Updated on ClinicalTrials.gov	2026-07-24