Not Yet RecruitingNot Applicable

Refining Risk Prediction Models for Older Adults Using Electronic Health Records

United States18,000 participantsStarted 2026-09

Plain-language summary

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.

Who can participate

Age range

65 Years

Sex

ALL

See this in plain English?

AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.

Inclusion Criteria include, but are not limited to: * being over the age of 65; having at least 5 years of clinical follow up; and having a serum creatinine lab test conducted Exclusion Criteria: * Patients younger than 65 years old * Patients with less than 5 years of clinical follow-up * Patients from health systems outside of the UC Health network.

Questions worth asking your doctor

Bring these to your next appointment. They're a starting point for a shared conversation — not a sign you qualify or a recommendation to enrol.

1Based on my diagnosis and history, is this trial worth exploring for me — or is there a standard treatment we should try first?
2What does this trial's phase tell us about how much is already known about its safety and benefit?
3What would taking part actually involve for me — visits, tests, time, and travel?
4What are the known and possible risks or side effects I should weigh, and how would they be monitored?
5If this trial isn't the right fit, what other options or trials would you suggest I look into?

Generated to help you prepare — always confirm anything about your own eligibility and care with the study team and your doctor.

Questions for the trial coordinator

The trial coordinator is the person who runs the study day to day. These cover the practical side — logistics, costs, and what taking part would actually mean for your life. The study team confirms whether you meet the criteria; these are questions to ask, not a sign you qualify.

1What does taking part actually involve week to week — how many visits, where, and how long does each one take?
2What costs are covered by the study, and what might I have to pay for myself, including travel, parking, or time off work?
3What happens during screening, and what happens if the study team confirms I don't meet the criteria after those tests?
4Who pays for the scans, blood work, and other tests the trial requires — the study, my insurance, or me?
5How will being in the trial affect my regular care, and will my own doctor stay informed and involved?
6Can I leave the trial at any point if I change my mind, and what would happen to my care if I do?

A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.

What they're measuring

Performance of the Risk Prediction Model

Timeframe: Up to 5 years of retrospective follow up

Trial details

NCT IDNCT06995365

SponsorUniversity of California, Los Angeles

Sponsor typeOTHER

Study typeOBSERVATIONAL

Primary completion2027-12

Contact for this trial

Katelyn Nguyen

13102675250 katenguyen@mednet.ucla.edu

View on ClinicalTrials.gov More Predictive Modeling trials