• Isaac S Alderete, Cathlyn K Medina, Arya Pontula, Samantha E Halpern, Alexandria L Soto, Kunal J Patel, Jacob A Klapper, and Matthew G Hartwig.
• Duke University School of Medicine, Durham, North Carolina. Electronic address: Isaac.alderete@duke.edu.
• J. Thorac. Cardiovasc. Surg. 2024 Nov 1.

ObjectiveCurrent risk-adjusted models to predict primary graft dysfunction (PGD) following lung transplantation (LTx) do not include bedside donor critical care data. Donor management goals (DMG) represent predefined critical care endpoints aimed at optimizing multi-organ donor management. Here, we sought to identify novel predictors to better understand the relationship between donor management and PGD following LTx.MethodsWe used the national DMG registry to identify a cohort of LTx recipients linked to their respective donors between January 1st, 2015 and March 1st, 2023. Grade 3 PGD (PGD3) was defined according to modified ISHLT criteria. Multivariable modeling was performed to identify risk factors for the development of PGD3.ResultsA total of 2704 eligible patients were identified of which 643 (23.8%) developed PGD3. After multivariable modeling, the likelihood of PGD3 was greater with increased donor age (OR 1.06 [1.02, 1.10] per 5 year change, p=0.003), increased donor serum pH at the time of authorization (OR 1.14 [1.02, 1.25] per 0.1 increase, p=0.016), donor history of cocaine use (OR 1.34 [1.05, 1.71], p=0.020), and increased recipient central venous pressure (1.03 [1.01, 1.06], p=0.005). Recipients who received donor lungs in which the DMG for PF ratio was met had a lower likelihood of developing PGD3 (OR 0.63 [0.46, 0.86], p=0.006).ConclusionThis study leverages a novel detailed donor management database to identify factors associated with the development of PGD3. These factors may be used to recognize donors and recipients that may benefit from early interventions to improve short-term outcomes.Copyright © 2024. Published by Elsevier Inc.

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