Renal Function Prediction in Living Donor Transplant Using Baseline Data

N/AActive Not RecruitingNCT06728995

Seoul National University Hospital3,500 enrolled

Overview

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

Study Type

OBSERVATIONAL

Enrollment

3,500

Conditions

Renal Transplanted Recipients Kidney Function

Eligibility

Sex: ALL

Medical Language ↔ Plain English

Inclusion Criteria: \- Recipients and donors of living-donor kidney transplantation. Exclusion Criteria: * Donors or recipients with follow-up durations of less than 1 year. * Recipients who received simultaneous organ transplantation in addition to kidney transplantation.

Locations (1)

Seoul National University Hospital

Seoul, South Korea

Outcomes

Primary Outcomes

Lowest Serum Creatinine Level

Measurement of the lowest serum creatinine level post-transplant to evaluate kidney function.

Time frame: Within one year post-transplant.

Data from ClinicalTrials.gov

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