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Refining Risk Prediction Models for Older Adults Using Electronic Health Records

NCT06995365 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 18000

Last updated 2025-05-29

No results posted yet for this study

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.

Conditions

  • Predictive Modeling

Interventions

OTHER

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.

Sponsors & Collaborators

Eligibility

Min Age
65 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-08-31
Primary Completion
2025-12-31
Completion
2026-03-31

Countries

  • United States

Study Locations

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Entities

Companies

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06995365 on ClinicalTrials.gov