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NCT07715617
Development of a Prediction Score for the Occurrence of Death or Lung Transplantation in Patients With Emphysema Secondary to Alpha-1-anti-tripsin Deficiency
Conditions: Alpha-1-antitrypsin Deficiency, Emphysema, Artificial Intelligence (AI), Predictive Learning Models, Mortality Prediction, Lung Transplantation
Sex: All
Ages: 18 Years – N/A
Healthy volunteers: No
Enrollment: 230
Sponsor: University Hospital, Bordeaux
Location: Hospices Civils de Lyon Bron
Summary
Emphysema linked to alpha-1-antitrypsin deficiency (DAAT): towards a better prediction of risks Emphysema caused by alpha-1-antitrypsin deficiency (DAAT) is a rare genetic disorder that can lead to serious complications, such as the need for a lung transplant or death, affecting up to 15% of patients. The only specific treatment available is a weekly infusion of alpha-1-antitrypsin (IV-AAT), an expensive and burdensome therapy.
Currently, there is no reliable model to predict the course of the disease in these patients. Our study, conducted in several French hospitals, aims to develop a prediction tool combining clinical, biological, functional data and advanced medical image analysis (lung CT). This model will make it possible to identify the most at-risk patients, in order to better adapt their care, anticipate transplant needs and avoid unnecessary treatments for low-risk patients.
Ultimately, this approach could also improve access to care for patients who need it most, while optimizing health system resources.
Eligibility Criteria
1. Inclusion criteria:
* diagnosed between 2010 and 2025
* in the pulmonology department
* diagnosis of emphysema and COPD secondary to alpha-1 antitrypsin deficiency ZZ, Znull, ZMalton, Z and rare mutations,
* emphysema according to the initial thoracic CT scan (+/- 12 months after diagnosis).
2. Exclusion criteria:
* Age \
Source: ClinicalTrials.gov (NCT07715617). StuddyBuddy aggregates publicly available trial information.