This study is not yet accepting patients

Refining Risk Prediction Models for Older Adults Using Electronic Health Records

a study on Predictive Modeling Chronic Kidney Disease Kidney Disease

Summary

Eligibility
for people ages 65 years and up (full criteria)
Location
at Los Angeles, California
Dates
study started
study ends around
Principal Investigator
by Catherine A. Sarkisian

Description

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.

Official Title

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

Keywords

Predictive Modeling, Lab Result Communication, Risk Stratification, Risk Prediction Model

Eligibility

You can join if…

Open to people ages 65 years and up

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

You CAN'T join if...

  • 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.

Location

  • UCLA Health System
    Los Angeles California 90024 United States

Lead Scientist at UCLA

Details

Status
not yet accepting patients
Start Date
Completion Date
(estimated)
Sponsor
University of California, Los Angeles
ID
NCT06995365
Study Type
Observational
Participants
Expecting 18000 study participants
Last Updated