Renal Function Prediction in Living Donor Transplant Using Baseline Data

NCT06728995 | Active Not Recruiting

• 2 other identifiers: SNUH-Volumetry_KT RecipientH-2205-051-1322
• Study Type: observational
• Target: 3,500
• Locations: 1 country
• Sites: 1

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

Conditions

Renal Transplanted Recipients; Kidney Function

Keywords

renal transplantation; kidney volume; predictive model; machine learning

Outcome Measures

Primary Outcomes (1)

• Lowest Serum Creatinine Level

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

  Within one year post-transplant.

Study Arms (1)

Study Population

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

Eligibility Criteria

• Sex: all
• Healthy Volunteers: No
• Age Groups: Child (0-17), Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

Participants were recruited from Seoul National University Hospital, Severance Hospital, and Bundang Seoul National University Hospital, encompassing recipients and donors involved in living-donor kidney transplantation.

You may qualify if:

• \- Recipients and donors of living-donor kidney transplantation.

You may not qualify if:

• Donors or recipients with follow-up durations of less than 1 year.
• Recipients who received simultaneous organ transplantation in addition to kidney transplantation.

Sponsors & Collaborators

• Seoul National University Hospital: lead

Study Sites (1)

Seoul National University Hospital

Seoul, 03080, South Korea

Location

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: RETROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Professor

Study Record Dates

• First Submitted: December 4, 2024
• First Posted: December 11, 2024
• Study Start: May 17, 2022
• Primary Completion: December 20, 2024
• Study Completion: April 24, 2025
• Last Updated: December 11, 2024

Record last verified: 2024-12

Data Sharing

• IPD Sharing: Will share

Locations

KR (1)