Clinical Trials Logo
  1. Home
  2. Lung Transplantation
  3. NCT06218758

Prediction Model for PPCs in Patients Undergoing Lung Transplantation Using Machine Learning

Lung Transplantation Clinical Trial

Official title:
Prediction Model for Postoperative Pulmonary Complications in Patients Undergoing Lung Transplantation Using Machine Learning: a Retrospective Cohort Study

Clinical Trial Summary

Since the first human lung transplantation in 1963, significant advancements in immunosuppressive agents from the mid-1990s have greatly improved the quantity and quality of such procedures. In 2004, a total of 1,815 lung transplantations were globally reported. Patients undergoing this procedure are typically elderly and experience not only impaired lung function but also overall health instability. Despite successful outcomes, postoperative pulmonary complications (PPCs) can lead to serious consequences, including deterioration and fatality. PPCs resulting from lung transplantation may lead to prolonged hospitalization, increased complications, and the need for additional treatment. Various factors, such as age, smoking, pre-existing lung diseases, immunosuppressive drug use, diabetes, hypertension, infections, allergies, and immune disorders, are associated with the development of PPCs. The retrospective analysis of medical records from adult patients who underwent lung transplantation aims to investigate patient characteristics, anesthesia methods, intraoperative tests, and the occurrence of PPCs, with the ultimate goal of analyzing the incidence and risk factors of postoperative respiratory complications and developing a predictive model through machine learning.

Clinical Trial Description

After the first report of lung transplantation in humans in 1963, rapid advancements in immunosuppressive agents since the mid-1990s have led to significant progress in both the quantity and quality of lung transplantation. In 2004, a total of 1,815 lung transplantations were reported worldwide. Patients undergoing lung transplantation are typically elderly, often experiencing not only impaired lung function but also overall instability in their health. Despite successful outcomes in lung transplantation, the occurrence of pulmonary complications after surgery can lead to deterioration or even fatal consequences. Postoperative pulmonary complications (PPCs) can result in prolonged hospitalization, increased complications, and the need for additional treatment. Various factors are associated with the development of PPCs after lung transplantation, including age, smoking, pre-existing lung diseases (such as chronic obstructive pulmonary disease, pulmonary fibrosis, etc.), immunosuppressive drug use post-transplant, diabetes, hypertension, pulmonary hypertension, heart disease, infections, allergies, and immune disorders. The retrospective analysis of medical records of adult patients who underwent lung transplantation aims to investigate patient characteristics, anesthesia methods, intraoperative tests, and the occurrence of PPCs. The goal is to analyze the incidence and risk factors of postoperative respiratory complications and develop a predictive model through machine learning. ;

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT06218758
Study type Observational
Source Pusan National University Yangsan Hospital
Contact Hee Young Kim, MD, PhD
Phone 82-10-7641-1774
Email anekhy@gmail.com
Status Recruiting
Phase
Start date January 22, 2024
Completion date December 31, 2024
View Details
See also
  Status Clinical Trial Phase
Completed NCT02581111 - Naloxone for Optimizing Hypoxemia Of Lung Donors Phase 2/Phase 3
Recruiting NCT02177916 - Patient Education Study to Determine Knowledge Acquisition in Patients Preparing to Undergo Lung Transplantation N/A
Not yet recruiting NCT01394835 - Safety and Efficacy of Inhaled Alpha-1 Antitrypsin in Preventing Bronchiolitis Obliterable Syndrome in Lung Transplant Recipients Phase 2
Not yet recruiting NCT01162148 - Pulmonary Rehabilitation and Inspiratory Muscle Training (IMT) for Patients Following Lung Transplantation N/A
Completed NCT01204970 - Confocal Laser Micro-endoscopy in Chronic Obstructive Pulmonary Disease (COPD) and Lung Transplant Recipients N/A
Active, not recruiting NCT00980967 - Predictive Factors for Chronic Rejection in Lung Transplant Recipients: COLT Study N/A
Completed NCT00531921 - Effects of Donor and Recipient Genetic Expression on Heart, Lung, Liver, or Kidney Transplant Survival N/A
Recruiting NCT00163696 - Multi Breath Nitrogen Washout (MBNW) as a Measure of Small Airway Function in Patients With Respiratory Disease N/A
Completed NCT00177684 - Pharmacokinetic Profiles of Inhaled Lipid Complex Amphotericin B (Abelcet ®) Phase 3
Completed NCT00163891 - Comparison of Two Chest Physiotherapy Protocols in Lung Transplant Recipients N/A
Completed NCT03668483 - Relation Between Muscle Strength With Exercise Capacity and Dyspnea in LTx N/A
Not yet recruiting NCT02855372 - Impact of the Age Difference Between the Donor and Recipient on the Morbidity and Mortality After Lung Transplantation. Study on a National Multicenter Cohort (COLT) N/A
Completed NCT01212406 - Vitamin D in Bronchiolitis Obliterans Syndrome Phase 4
Completed NCT01211509 - Montelukast in Bronchiolitis Obliterans Syndrome Phase 4
Not yet recruiting NCT00808600 - Empowerment of Lung and Heart-lung Transplant Patients N/A
Completed NCT00553397 - Live Lung Donor Retrospective Study N/A
Completed NCT00402805 - Improving the Humoral Response to Influenza Vaccine in Lung Transplant Recipients by an Intradermal Strategy Phase 4
Completed NCT00701922 - Surveillance Study of Viral Infections Following Lung Transplantation N/A
Terminated NCT00235651 - Abelcet Radiotagging Protocol: Inhaled Lipid Complex Abelcet® in Lung Transplant Recipients Phase 3
Active, not recruiting NCT02936505 - Clinical Study Evaluating Two Treatment Protocols for Immunosuppressive Drugs. Looking at 3-year Incidence of CLAD. N/A