Prediction of Lung Transplant Outcome

Plain Language Summary of the PLUTO Study Prediction of Lung Transplant Outcomes (PLUTO) What is this study about? This study aims to improve how doctors predict the health of lung transplant recipients over time. Many people with severe lung disease need a transplant, but even after receiving a new lung, some still face serious health issues. One of the biggest problems is chronic lung transplant dysfunction (CLAD), which can slowly damage the new lung and is currently irreversible. What is the goal of the study? Researchers want to better understand why some people do worse after a lung transplant. Researchers hope to identify early warning signs and improve diagnosis. The main goal is to build a model that can predict how well a lung transplant will function over time, using routine health data and test results from transplant patients. Who can take part in this study? People aged 15 and older who had a lung transplant between 2009 and 2027 and are being followed at one of the study centers. People who speak French and have national health insurance. People who gave written consent (or whose guardians did, if under 18). The study may also use past data from deceased patients who did not object to research use. How will the study work? The study will follow about 4,200 lung transplant recipients across many centers in France. Researchers will collect clinical data, lung function tests, biopsy results, and blood samples. Researchers will also study new biomarkers (signals in the body that may show how well a transplant is doing) found in blood or lung samples. Using these data, the investigators will build and test tools to predict transplant outcomes. Why is this research important? By understanding early signs of transplant problems, doctors can act sooner and tailor treatment for each person. This may improve long-term survival after a lung transplant and help guide future research. How long is the study? Each participant will be followed for about 3 years, and the full study will last 6 years, including data analysis.