UCLA Health System
Los Angeles, California, 90024, United States
Not Yet Recruiting
NCT Number: NCT06995365
Refining Risk Prediction Models for Older Adults Using Electronic Health Records
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.
Not Yet Recruiting
Trial opening soon.
Get NotifiedKey information
Conditions
Age range
65 year and older
Sex eligibility
All sexes
Study type
Observational
Primary location
Who can participate
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
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.
Treatment and study plan
Risk Prediction Model
OtherThis study analyzes retrospective electronic health record (EHR) data from older adults to refine and validate a predictive model for other conditions in future studies.
Primary outcomes
-
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.
Study contacts
Contact information is provided by the study sponsor or research team.
Sponsors and collaborators
Lead sponsor
University of California, Los Angeles
Other
Registry information
Official study title
Patient-centered Precision Medicine Lab Result Communication for Older Adults - Validation and Refinement of an Existing Chronic Kidney Disease (CKD) Risk Model
Important dates
- Study start
- 2026
- Primary completion
- 2027
- Study completion
- 2028
- First posted
- May 29, 2025
- Registry last updated
- Jul 24, 2026
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.