Prediction Model for PPCs 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 investigating a new way to predict complications that can happen after lung transplantation, known as postoperative pulmonary complications (PPCs). Researchers are using advanced computer technology, called machine learning, to analyze medical records of adults who have had a lung transplant. By looking at various factors such as age, smoking history, and existing health issues, they hope to develop a tool that can help doctors identify which patients are at higher risk for these complications. This information could ultimately lead to better care and improved outcomes for patients undergoing this important procedure.

To be eligible for this trial, participants need to be adults aged 18 or older who have had a lung transplant due to severe lung disease. There are no specific exclusions, so a wide range of patients can potentially take part. If you join the study, you can expect that your medical information will be reviewed to help researchers understand more about lung transplant outcomes. Your participation could contribute to important advancements in how we manage and care for patients after lung transplantation, potentially making the procedure safer for future patients.

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.