American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2023
Development and validation of the lung donor (LUNDON) acceptability score for pulmonary transplantation.
СтатьяПоддержка NIH: внешняя программаНазвание и аннотация: Перевод в очереди
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Heiden Brendan T, Yang Zhizhou, Bai Yun Zhu, Yan Yan, Chang Su-Hsin, Park Yikyung, Colditz Graham A, Dart Hank, Hachem Ramsey R, Witt Chad A, Vazquez Guillamet Rodrigo, Byers Derek E, Marklin Gary F, Pasque Michael K, Kreisel Daniel, Nava Ruben G, Meyers Bryan F, Kozower Benjamin D, Puri Varun
Аннотация
There is a chronic shortage of donor lungs for pulmonary transplantation due, in part, to low lung utilization rates in the United States. We performed a retrospective cohort study using data from the Scientific Registry of Transplant Recipients database (2006-2019) and developed the lung donor (LUNDON) acceptability score. A total of 83 219 brain-dead donors were included and were randomly divided into derivation (n = 58 314, 70%) and validation (n = 24 905, 30%) cohorts. The overall lung acceptance was 27.3% (n = 22 767). Donor factors associated with the lung acceptance were age, maximum creatinine, ratio of arterial partial pressure of oxygen to fraction of inspired oxygen, mechanism of death by asphyxiation or drowning, history of cigarette use (≥20 pack-years), history of myocardial infarction, chest x-ray appearance, bloodstream infection, and the occurrence of cardiac arrest after brain death. The prediction model had high discriminatory power (C statistic, 0.891; 95% confidence interval, 0.886-0.895) in the validation cohort. We developed a web-based, user-friendly tool (available at https://sites.wustl.edu/lundon) that provides the predicted probability of donor lung acceptance. LUNDON score was also associated with recipient survival in patients with high lung allocation scores. In conclusion, the multivariable LUNDON score uses readily available donor characteristics to reliably predict lung acceptability. Widespread adoption of this model may standardize lung donor evaluation and improve lung utilization rates.