Renal Function Prediction in Living Donor Transplant Using Baseline Data

Seoul National University

Status: Active, not recruiting

Conditions: Renal Transplanted Recipients; Kidney Function

Study type: Observational

Funder types: Other

Identifiers

NCT06728995

SNUH-Volumetry_KT Recipient

H-2205-051-1322 (Other Identifier)

Details and patient eligibility

About

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

Enrollment: 3,500 estimated patients

Sex: All

Volunteers: No Healthy Volunteers

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.

Trial design

3,500 participants in 1 patient group

Study Population

Description:

All participants included in the retrospective study who underwent living-donor kidney transplantation. No interventions were applied as this is an observational study.