An observational study in Alpha-1-antitrypsin Deficiency, Emphysema and Artificial Intelligence (AI), sponsored by University Hospital, Bordeaux. Recruiting at 4 sites in France. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2026-07-20.
Sponsored by University Hospital, Bordeaux · Observational
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.
Context. Emphysema secondary to alpha-1-anti-trypsin deficiency (AATD) is a genetic rare disease, but with pejorative events such as death or lung transplantation (LT) which affect up to 15% of patients. Aside from standard medical care for COPD management, the only specific treatment as augmentation therapy for severe AATD, is weekly intravenous alpha-1 antitrypsin (IV-AAT) which is still expensive and restrictive. Several prognostic scores for tobacco-related COPD have been developed but, none of them have been validated in AATD, neither have included quantitative chest CT imaging while they have been associated with mortality in emphysema. Therefore, we aim to develop a prediction model combining clinical, biological, functional and quantitative CT data (including radiomics) for mortality or LT to identify at-risk patients with emphysema secondary to AATD.
Methods: From several French hospitals, we'll conduct a multicenter retrospective study based on data collected in usual care among patients over 18-year-old, with an available chest CT. We'll collect clinical data (BMI, mMRC dyspnea scale), respiratory function parameters and quantitative imaging data (including radiomics) from the initial CT from AATD patients secondary to ZZ, Znull, ZMalton, Z and rare mutations. We'll then validate our results on an independent external database from the European AADT cohort (EARCO), with specific dedicated funding.
Perspectives: To develop a prediction model to identify the AATD patients at risk of clinical deterioration, defined by death or LT allowing for personalized care, in order to: 1. anticipate registration on the transplant list, 2. optimize overall management, including pharmacological (IV-AAT) and non-pharmacological management. 3. to avoid cost-prohibitive and constraining IV-AAT infusion for low risk patients For Health policy, finding a way to target high-risk patients may help a better access for IV-AAT to appropriate individuals.
142 studies on the registry are indexed under alpha 1-Antitrypsin Deficiency; 32 are open to participants now.
This study's planned enrollment of 230 is above the median of 160 across 46 observational studies indexed under alpha 1-Antitrypsin Deficiency.
Browse alpha 1-Antitrypsin Deficiency studies →University Hospital, Bordeaux is the lead sponsor of 806 studies on the registry; 197 are open to participants now.
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The subjects included will be any patients followed and diagnosed between 2010 and 2025 in the pulmonology department for emphysema and COPD secondary to alpha-1 antitrypsin deficiency ZZ, Znull, ZMalton, Z and rare mutations, based on the diagnosis of emphysema made from an initial thoracic CT scan (+/- 12 months after diagnosis).
Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.
diagnosed between 2010 and 2025
Age \<18 years
Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.
Chronic obstructive pulmonary disease: long-term lung disease that makes it hard to breathe out, including emphysema and chronic bronchitis.
COPD
Chronic obstructive pulmonary disease: long-term lung disease that makes it hard to breathe out, including emphysema and chronic bronchitis.
Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.
The subjects included will be any patients followed and diagnosed between 2010 and 2025 in the pulmonology department for emphysema and COPD secondary to alpha-1 antitrypsin deficiency ZZ, Znull, ZMalton, Z and rare mutations, based on the diagnosis of emphysema made from an initial thoracic CT scan (+/- 12 months after diagnosis).
Evaluation of vital status
Death within 5 years of emphysema diagnosis.
Time frame: 5 years
Evaluation of transplantation status
Lung transplantation within 5 years of emphysema diagnosis.
Time frame: 5 years
Plan to share: Undecided
Started Feb 2026 (actual). Primary completion is estimated for Mar 2031, 61 months after the start.
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