Refining Risk Prediction Models for Older Adults Using Electronic Health Records

NCT ID: NCT06995365

Last Updated: 2025-05-29

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

NOT_YET_RECRUITING

Total Enrollment

18000 participants

Study Classification

OBSERVATIONAL

Study Start Date

2025-08-31

Study Completion Date

2026-03-31

Brief Summary

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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.

Detailed Description

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Conditions

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Predictive Modeling

Study Design

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Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Interventions

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Risk Prediction Model

This study analyzes retrospective electronic health record (EHR) data from older adults to refine and validate a predictive model for other conditions in future studies.

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* 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.
Minimum Eligible Age

65 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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University of California, Los Angeles

OTHER

Sponsor Role lead

Responsible Party

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Catherine A. Sarkisian

Associate Professor of Medicine

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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UCLA Health System

Los Angeles, California, United States

Site Status

Countries

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United States

Central Contacts

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Katelyn Nguyen

Role: CONTACT

13102675250

Other Identifiers

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IRB-25-0471

Identifier Type: -

Identifier Source: org_study_id

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