Prediction of donor related lung injury in clinical lung transplantation using a validated ex vivo lung perfusion inflammation score.

Background: Ex vivo lung perfusion (EVLP) is an isolated organ assessment technique that has revolutionized the field of lung transplantation and enabled a safe increase in the number of organs transplanted. The objective of this study was to develop a protein-based assay that would provide a precision medicine approach to lung injury assessment during EVLP.

Methods: Perfusate samples collected from clinical EVLP cases performed from 2009 to 2019 were separated into development (n = 281) and validation (n = 57) sets to derive and validate an inflammation score based on IL-6 and IL-8 protein levels in perfusate. The ability of an inflammation score to predict lungs suitable for transplantation and likely to produce excellent recipient outcomes (time on ventilator ≤ 3 days) was assessed. Inflammation scores were compared to conventional clinical EVLP assessment parameters and associated with outcomes, including primary graft dysfunction and patient care in the ICU.

Results: An inflammation score accurately predicted the decision to transplant (AUROC 68% [95% CI 62-74]) at the end of EVLP and those transplants associated with short ventilator times (AUROC 73% [95% CI 66-80]). The score identified lungs more likely to develop primary graft dysfunction at 72-hours post-transplant (OR 4.0, p = 0.03). A model comprised of the inflammation score and ∆PO was able to determine EVLP transplants that were likely to have excellent recipient outcomes, with an accuracy of 87% [95% CI 83-92].

Conclusions: The adoption of an inflammation score will improve accuracy of EVLP decision-making and increase confidence of surgical teams to determine lungs that are suitable for transplantation, thereby improving organ utilization rates and patient outcomes.