Can we predict lung transplant outcomes? new study seeks answers

NCT ID NCT07356752

Ongoing Knowledge-focused Sponsor: Hopital Foch Source: ClinicalTrials.gov ↗

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study follows about 4,200 lung transplant recipients in France to understand why some people develop serious complications like chronic lung allograft dysfunction (CLAD). Researchers will collect routine health data, lung function tests, and blood samples to build a model that predicts how well a transplanted lung will work over time. The goal is to identify early warning signs so doctors can act sooner and personalize care.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

What this could lead to: If successful, this could lead to better tools for doctors to predict and catch lung transplant problems early, potentially improving long-term survival.
What could go wrong: This is an observational study, not a treatment trial. It may not directly change patient care, and the prediction models might not work as well in real-world settings.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

chronic transplant rejection Rejection, Psychology transplant rejection transplant-related bronchiolitis obliterans

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

CHRONIC LUNG ALLOGRAFT DYSFUNCTION (CLAD) CHRONIC REJECTION OF LUNG TRANSPLANT GRAFT DYSFUNCTION LUNG TRANSPLANTATION

Contacts and locations

Locations

APHP - site de Bichat

Paris, Paris 18, 75018, France
APHP - site de Cochin

Paris, Paris 14, 75014, France
CHU Bordeaux & INSERM U1045

Talence, Talence, 33404, France
CHU LYON

Lyon, 69007, France
CHU Nantes Hôpital Maison Blanche

Nantes, 44000, France
CHU Strasbourg

Strasbourg, Strasbourg, 67084, France
CML La Fondation Hôpital Saint-Joseph

Le Plessis-Robinson, 92350, France
Chu Grenoble

Grenoble, 38700, France
Hôpital Foch

Suresnes, 92150, France

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