Prediction Model for Postoperative AKI in Patients Undergoing Lung Transplantation Using Machine Learning

Launched by PUSAN NATIONAL UNIVERSITY YANGSAN HOSPITAL · Jan 22, 2024

Keywords

ClinConnect Summary

This clinical trial is studying how to predict kidney problems after lung transplantation using advanced computer techniques called machine learning. Lung transplantation is a life-saving procedure for patients with severe lung disease, but some people may experience kidney issues after surgery, which can lead to longer hospital stays and other complications. The researchers are looking at information from past lung transplant patients to identify factors that may increase the risk of kidney problems, such as blood flow issues and certain medications.

To participate in this trial, you need to be an adult aged 18 or older who has had a lung transplant for end-stage lung disease. There are no specific exclusions, so if you meet these criteria, you may be eligible. If you join the study, you can expect to help researchers gather important data that could improve care for future lung transplant patients by identifying who is at risk for kidney problems after surgery. Your involvement could contribute to better predicting and managing these potential complications.

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• • Adult patients 18 years of age or older who underwent lung transplantation for end-stage lung disease
• Exclusion Criteria:
• • None.