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Objective: The transplantation of hearts from donors who experienced intracranial bleeding (ICB) has been associated with inferior long-term survival in both single-center analyses and, more recently, with the United Network for Ogan Sharing Registry. The purpose of this study was to further explore this relationship through propensity score matching in recipients receiving donor hearts from ICB and non-ICB donors in a large national registry. Methods: We performed a retrospective cohort analysis of the United Network for Organ Sharing Registry Organ Procurement and Transplantation Network between 2006 and 2018 for adult candidates wait-listed for isolated heart transplantation. Recipients were stratified into 2 groups: ICB and non-ICB donors. Propensity score matching was performed to estimate causal effects by using observational data. Kaplan-Meier analysis was used to estimate survival posttransplant. Cox proportional hazards modeling was used to evaluate the independent effect of ICB as a cause of death. Results: A total of 25,315 candidates met inclusion criteria. ICB heart donors (n = 5529) were older (median age, 42 vs 27 years; P

Purpose: As rates of lung transplants in the US grow, waitlist mortality increases. While the literature reports similar survival outcomes of DBD and DCD transplants, research should investigate improvements to DCD lung recovery protocols to increase the total number recovered. Recently, Choi et al. presented donor variables indicative of ultimate lung recovery1. However, expansion of DCD lung transplants requires a comparison of these indicators to DBD donors for application of similar parameters to increase the rate of DCD lung recovery to ensure that viable DCD organs are not discarded due to overly stringent donor and organ requirements. Methods: We performed a retrospective analysis of United Network for Organs Sharing (UNOS) Organ Procurement and Transplantation Network/UNOS STAR (Standard Analysis and Research) database. Donors who donated ≥1 organ from 10/1999–01/2019 were extracted and stratified according to DBD and DCD status. Associated characteristics of potential DCD and DBD lung donors were compared, and a multivariable logistic regression model with ≥1 transplanted lung was constructed to evaluate the independent effects of important predictors. Results: Our data included 179,228 potential lung donors, 162,157 DBD (31,486 donated, 19.4% recovery) and 17,071 DCD (526 donated, 3.1% recovery). Odds of lung non-use between DBD and DCD donors were significantly associated with blood type, alcohol use, cause of death, smoking history, drug use, death circumstance, ethnicity, gender, hypertension, cancer, age, and lung pO2 on 100% P/F ratio (P 50 in both DBD and DCD. However, likelihood of procurement is 1.84 [95% 1.42, 2.38, p 50 in DBD vs DCD donors. In addition, for each era, the odds for procuring DCD vs. DBD lungs consistently improved [95% 1.46–2.57, p