Renal Function Prediction in Living Donor Transplant Using Baseline Data
Condition(s) studied
Study summary
This study aims to predict early post-transplant kidney function in living donor kidney transplant recipients using baseline characteristics of donors and recipients. The study involves analyzing pre-transplant data to develop a machine learning model that predicts serum creatinine levels one year post-transplant. This research may improve decision-making and outcomes for transplant patients
Eligibility
Primary outcome measure(s)
- Lowest Serum Creatinine Level — Within one year post-transplant.
Measurement of the lowest serum creatinine level post-transplant to evaluate kidney function.
Trial sites (1)
| Facility | City | Region | Status |
|---|---|---|---|
| Seoul National University Hospital | Seoul | South Korea |
More Seoul National University Hospital trials in South Korea
This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
View NCT06728995 on ClinicalTrials.gov ↗ ← All trials in South Korea