Renal Function Prediction in Living Donor Transplant Using Baseline Data

Prediction of Recipient Renal Function in Living Donor Kidney Transplantation Using Baseline Characteristics and Donor Renal Volume

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT06728995

Enrollment

3500

Registered

2024-12-11

Start date

2022-05-17

Completion date

2025-04-24

Last updated

2024-12-11

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Kidney Function, Renal Transplanted Recipients

Keywords

renal transplantation, kidney volume, predictive model, machine learning

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

Interventions

None listed

Study design

Observational model

COHORT

Time perspective

RETROSPECTIVE

Eligibility

Sex/Gender

ALL

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.

Design outcomes

Primary

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

Countries

South Korea

Outcome results