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BackgroundThe published experience of lung transplantation in acute respiratory distress syndrome (ARDS) is limited. The aim of this study was to investigate the contemporary results of lung transplantation attempts in ARDS in major European centres.MethodsWe conducted a retrospective multicentre cohort study of all patients listed for lung transplantation between 2011 and 2019. We surveyed 68 centres in 22 European countries. All patients admitted to the waitlist for lung transplantation with a diagnosis of “ARDS/pneumonia” were included. Patients without extracorporeal membrane oxygenation (ECMO) or mechanical ventilation were excluded. Patients were followed until 1 October 2020 or death. Multivariable analysis for 1-year survival after listing and lung transplantation was performed.Results55 centres (81%) with a total transplant activity of 12 438 lung transplants during the 9-year period gave feedback. 40 patients with a median age of 35 years were identified. Patients were listed for lung transplantation in 18 different centres in 10 countries. 31 patients underwent lung transplantation (0.25% of all indications) and nine patients died on the waitlist. 90% of transplanted patients were on ECMO in combination with mechanical ventilation before lung transplantation. On multivariable analysis, transplantation during 2015–2019 was independently associated with better 1-year survival after lung transplantation (OR 10.493, 95% CI 1.977–55.705; p=0.006). 16 survivors out of 23 patients with known status (70%) returned to work after lung transplantation.ConclusionsLung transplantation in highly selected ARDS patients is feasible and outcome has improved in the modern era. The selection process remains ethically and technically challenging.

BackgroundChronic lung allograft dysfunction (CLAD) is the principal cause of graft failure in lung transplant recipients and prognosis depends on CLAD phenotype. We used a machine learning computed tomography (CT) lung texture analysis tool at CLAD diagnosis for phenotyping and prognostication compared with radiologist scoring.MethodsThis retrospective study included all adult first double lung transplant patients (January 2010–December 2015) with CLAD (censored December 2019) and inspiratory CT near CLAD diagnosis. The machine learning tool quantified ground-glass opacity, reticulation, hyperlucent lung and pulmonary vessel volume (PVV). Two radiologists scored for ground-glass opacity, reticulation, consolidation, pleural effusion, air trapping and bronchiectasis. Receiver operating characteristic curve analysis was used to evaluate the diagnostic performance of machine learning and radiologist for CLAD phenotype. Multivariable Cox proportional hazards regression analysis for allograft survival controlled for age, sex, native lung disease, cytomegalovirus serostatus and CLAD phenotype.Results88 patients were included (57 bronchiolitis obliterans syndrome (BOS), 20 restrictive allograft syndrome (RAS)/mixed and 11 unclassified/undefined) with CT a median 9.5 days from CLAD onset. Radiologist and machine learning parameters phenotyped RAS/mixed with PVV as the strongest indicator (area under the curve (AUC) 0.85). Machine learning hyperlucent lung phenotyped BOS using only inspiratory CT (AUC 0.76). Radiologist and machine learning parameters predicted graft failure in the multivariable analysis, best with PVV (hazard ratio 1.23, 95% CI 1.05–1.44; p=0.01).ConclusionsMachine learning discriminated between CLAD phenotypes on CT. Both radiologist and machine learning scoring were associated with graft failure, independent of CLAD phenotype. PVV, unique to machine learning, was the strongest in phenotyping and prognostication.

Lung transplantation has become an invaluable approach for the treatment of end-stage respiratory diseases. However, survival after lung transplant remains limited due to chronic lung allograft dysfunction (CLAD), a fibrotic process affecting the airway and/or parenchymal compartments of the lung graft leading to a significant and persistent deterioration in lung function [1, 2]. With our accelerating understanding of CLAD, it has become evident that CLAD is a heterogeneous process comprised of multiple patterns of physiological and radiological features, which have strong implications for post-CLAD survival [3]. Footnotes This manuscript has recently been accepted for publication in the European Respiratory Journal . It is published here in its accepted form prior to copyediting and typesetting by our production team. After these production processes are complete and the authors have approved the resulting proofs, the article will move to the latest issue of the ERJ online. Please open or download the PDF to view this article. Conflict of interest: Dr. Levy has nothing to disclose. Conflict of interest: Dr. Huszti has nothing to disclose. Conflict of interest: Dr. Berra has nothing to disclose. Conflict of interest: Dr. Renaud-Picard has nothing to disclose. Conflict of interest: Dr. Kawashima has nothing to disclose. Conflict of interest: Dr. Takahagi has nothing to disclose. Conflict of interest: Dr. Moshkelgosha has nothing to disclose. Conflict of interest: Dr. Ghany has nothing to disclose. Conflict of interest: Dr. Fuchs has nothing to disclose. Conflict of interest: Dr. Chow has nothing to disclose. Conflict of interest: Dr. Keshavjee has nothing to disclose. Conflict of interest: Dr. Singer has nothing to disclose. Conflict of interest: Dr. Tikkanen has nothing to disclose. Conflict of interest: Dr. Martinu has nothing to disclose.

RationaleThe diffusing capacity of the lung for carbon monoxide corrected for haemoglobin (DLCOcor) measures gas movement across the alveolar–capillary interface. We hypothesised that DLCOcor is a sensitive measure of injurious allograft processes disrupting this interface.ObjectivesTo determine the prognostic significance of the DLCOcor trajectory on chronic lung allograft dysfunction (CLAD) and survival.MethodsA retrospective analysis was conducted of all bilateral lung transplant recipients at a single centre, between January 1998 and January 2018, with one or more DLCOcor measurements. Low baseline DLCOcor was defined as the failure to achieve a DLCOcor >75% predicted. Drops in DLCOcor were defined as >15% below recent baseline.Results1259 out of 1492 lung transplant recipients were included. The median (range) time to peak DLCOcor was 354 (181–737) days and the mean±sdDLCOcor was 80.2±21.2% pred. Multivariable analysis demonstrated that low baseline DLCOcor was significantly associated with death (hazrd ratio (HR) 1.68, 95% CI 1.27–2.20; pDLCOcor was not independently associated with CLAD after adjustment for low baseline forced expiratory volume in 1 s or forced vital capacity. Any DLCOcor declines ≥15% were significantly associated with death, independent of concurrent spirometric decline. Lower percentage predicted DLCOcor values at CLAD onset were associated with shorter post-CLAD survival (HR 0.75 per 10%-unit change, pConclusionLow baseline DLCOcor and post-transplant declines in DLCOcor were significantly associated with survival, independent of spirometric measurements. We propose that DLCOcor testing may allow identification of a subphenotype of baseline and chronic allograft dysfunction not captured by spirometry. There may be benefit in routine monitoring of DLCOcor after lung transplantation to identify patients at risk of poor outcomes.

Intragraft DSA can be found in explanted lungs of patients with chronic lung allograft dysfunction in the absence of circulating DSA. New diagnostic approaches to assess for intragraft DSA may add to our diagnostic arsenal in treating AMR.http://bit.ly/31kS00b