Refining Risk Prediction Models for Older Adults Using Electronic Health Records

May 20, 2025 updated by: Catherine A. Sarkisian, University of California, Los Angeles

Patient-centered Precision Medicine Lab Result Communication for Older Adults - Validation and Refinement of an Existing Chronic Kidney Disease (CKD) Risk Model

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.

Study Overview

Status

Not yet recruiting

Conditions

Intervention / Treatment

Study Type

Observational

Enrollment (Estimated)

18000

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

  • United States
    • California
      • Los Angeles, California, United States, 90024
        • UCLA Health System

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

Adults aged 65 and older who received care within the UCLA or UC Health system, have at least 5 years of clinical follow-up, and have had a serum creatinine test. Data are drawn from existing electronic health records.

Description

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.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Performance of the Risk Prediction Model
Time Frame: Up to 5 years of retrospective follow up
Evaluate the predictive performance of a machine learning-based risk model using retrospective Electronic Health Records (EHR) data. The model estimates the likelihood of disease progression in older adults. The model should be designed to be adaptable to various clinical conditions. Metrics include Area Under the Receiver Operating Characteristic Curve (AUC-ROC), sensitivity, and specificity.
Up to 5 years of retrospective follow up

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

University of California, Los Angeles

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

August 1, 2025

Primary Completion (Estimated)

December 1, 2025

Study Completion (Estimated)

March 1, 2026

Study Registration Dates

First Submitted

May 20, 2025

First Submitted That Met QC Criteria

May 20, 2025

First Posted (Actual)

May 29, 2025

Study Record Updates

Last Update Posted (Actual)

May 29, 2025

Last Update Submitted That Met QC Criteria

May 20, 2025

Last Verified

May 1, 2025

More Information

Terms related to this study

Keywords

Other Study ID Numbers

  • IRB-25-0471

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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