• Allan B Massie, Brian J Boyarsky, William A Werbel, Sunjae Bae, Chow Eric K H EKH Chicago Medical School, Rosalind Franklin University of Medicine and Science, Chicago, Illinois, USA., Robin K Avery, Christine M Durand, Niraj Desai, Daniel Brennan, Jacqueline M Garonzik-Wang, and Dorry L Segev.
• Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
• Am. J. Transplant. 2020 Nov 1; 20 (11): 2997-3007.

AbstractClinical decision-making in kidney transplant (KT) during the coronavirus disease 2019 (COVID-19) pandemic is understandably a conundrum: both candidates and recipients may face increased acquisition risks and case fatality rates (CFRs). Given our poor understanding of these risks, many centers have paused or reduced KT activity, yet data to inform such decisions are lacking. To quantify the benefit/harm of KT in this context, we conducted a simulation study of immediate-KT vs delay-until-after-pandemic for different patient phenotypes under a variety of potential COVID-19 scenarios. A calculator was implemented (http://www.transplantmodels.com/covid_sim), and machine learning approaches were used to evaluate the important aspects of our modeling. Characteristics of the pandemic (acquisition risk, CFR) and length of delay (length of pandemic, waitlist priority when modeling deceased donor KT) had greatest influence on benefit/harm. In most scenarios of COVID-19 dynamics and patient characteristics, immediate KT provided survival benefit; KT only began showing evidence of harm in scenarios where CFRs were substantially higher for KT recipients (eg, ≥50% fatality) than for waitlist registrants. Our simulations suggest that KT could be beneficial in many centers if local resources allow, and our calculator can help identify patients who would benefit most. Furthermore, as the pandemic evolves, our calculator can update these predictions.© 2020 The American Society of Transplantation and the American Society of Transplant Surgeons.

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