Renal Function Prediction in Living Donor Transplant Using Baseline Data

Active, not recruiting

• Conditions: Renal Transplanted Recipients; Kidney Function

• Registration Number: NCT06728995
• Lead Sponsor: Seoul National University Hospital

Brief 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

Detailed Description

Not available

Study Timeline

• Study Start: 2022-05-17
• Status Verified: 2024-12
• Study First Submitted: 2024-12-04
• Study First Submitted QC: 2024-12-06
• Last Update Submitted: 2024-12-06
• Study First Posted: 2024-12-11
• Last Update Posted: 2024-12-11
• Primary Completion: 2024-12-20
• Study Completion: 2025-04-24

Recruitment & Eligibility

• Status: ACTIVE_NOT_RECRUITING
• Sex: All
• Target Recruitment: 3500

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.

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
Lowest Serum Creatinine Level	Within one year post-transplant.	Measurement of the lowest serum creatinine level post-transplant to evaluate kidney function.

Trial Locations

Locations (1)

Seoul National University Hospital; 🇰🇷 Seoul, Korea, Republic of