Improving Patient Access to Liver Allografts Through a Mathematically Optimized Continuous Organ Distribution Model.
Improving Patient Access to Liver Allografts Through a Mathematically Optimized Continuous Organ Distribution Model.
复制标题
通过数学优化的连续器官分布模型改善患者获得同种异体肝脏移植的机会。
DOI:
10.1097/tp.0000000000003018
复制
发表时间:
2020
期刊:
影响因子:
6.2
通讯作者:
Lunsford,KeriE
中科院分区:
文献类型:
--
作者:
Panayotova,GuerganaG;Guarrera,JamesV;Lunsford,KeriE
Liver organ allocation policy in the United States has been at the forefront of controversy in the transplant community over the past decade. Arguments have intensified in the last year, following the Health Resources and Services Administration mandate to improve equity in organ distribution and the resulting litigations. 1, 2 As need continues to exceed organ availability, the disparities in distribution and access have become more evident. The common points of contention with current allocation practice is not only organ availability, but also center and regional variations in listing practices, application for model of end-stage liver disease (MELD) exceptions, recipient medical acuity at transplant, utilization of marginal donors, and waiting times. 3–6 Combined, these factors profoundly affect a patient’s probability of transplant, and have prompted the search for a solution.In this issue of Transplantation, Bertsimas and colleagues present their article “Balancing efficiency and fairness in liver transplant access: tradeoff curves for the assessment of organ distribution policies.” Here, they compare the 3 distribution frameworks currently under evaluation by the OPTN/UNOS Ad Hoc Geography Committee: the approved, but contested, acuity circles (fixed radii around the donor hospital with patient stratification via model of end-stage liver disease sodium [MELD-Na] score); mathematically optimized geographic boundaries (optimized allocation districts); and continuous distribution (allocation by a score composed of factors such as medical urgency and proximity to donor without specific geographic limits). 7 Using tradeoff curves and a standardized computer model for allocation, the group demonstrates that the continuous distribution system outperforms the former 2 by reducing recipient mortality and MELD variability between centers. 8 The effect is maintained regardless of the disease acuity score used (MELD versus MELD-Na). Furthermore, the previously proposed novel medical need score, the optimized prediction of mortality, compounds the effects of continuous scoring and has the greatest effect on lives saved across all transport distances. 2, 8 This latter concept, while not the primary focus of the article, adds an additional layer of complexity to the mathematical algorithms that bears further evaluation.