器官获取组织之间小儿捐献心脏利用率的差异

IF 1.2 4区 医学 Q3 PEDIATRICS Pediatric Transplantation Pub Date : 2024-04-13 DOI:10.1111/petr.14747
Firezer Haregu, R. Jerome Dixon, Michael Porter, Michael McCulloch
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A machine learning algorithm, combining 11 OPO, donor, candidate, and offer variables, was used to determine factors most predictive of whether a heart offer is accepted.ResultsThere was no clinically significant difference between the top and bottom quintile OPOs in baseline donor characteristics, distance between donor and listing center, management strategies, or organ quality. Machine learning modeling suggested neither OPO donor management nor cardiac function is the primary driver of whether an organ is accepted. Instead, number of prior donor offer refusals and individual listing center receiving the offer were two of the most predictive variables of organ acceptance.ConclusionsOPO clinical practice variation does not seem to account for the discrepancy in pediatric donor heart utilization rates among OPOs. 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引用次数: 0

摘要

背景器官获取组织(OPO)负责器官捐献者的医疗管理。鉴于OPO之间小儿捐献心脏利用率的差异,我们研究了可能解释这种差异的因素,包括捐献者医疗管理、器官质量和候选者因素的差异。方法查询器官获取和移植网络数据库,了解2010年至2019年期间小儿(<18岁)心脏捐献者和接受小儿捐献心脏的候选者。根据小儿心脏供体利用率对OPO进行分层,并根据供体管理策略和结果对最高和最低的五分位数进行比较。结果在基线供体特征、供体与排序中心之间的距离、管理策略或器官质量方面,最高和最低五分位数的OPO之间没有显著的临床差异。机器学习建模表明,OPO供体管理和心脏功能都不是器官是否被接受的主要驱动因素。结论OPO临床实践的差异似乎并不能解释OPO之间儿科捐献者心脏利用率的差异。挂牌中心接受器官的做法和之前被拒绝的捐献者数量似乎是心脏利用率的重要驱动因素,考虑到OPO和挂牌中心之间的区域关联,至少可以部分解释OPO心脏利用率的差异。
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Pediatric donor heart utilization variability among organ procurement organizations
BackgroundOrgan procurement organizations (OPOs) are responsible for the medical management of organ donors. Given the variability in pediatric donor heart utilization among OPOs, we examined factors that may explain this variability, including differences in donor medical management, organ quality, and candidate factors.MethodsThe Organ Procurement and Transplant Network database was queried for pediatric (<18 years) heart donors and candidates receiving pediatric donor heart offers from 2010 to 2019. OPOs were stratified by pediatric donor heart utilization rate, and the top and bottom quintiles were compared based on donor management strategies and outcomes. A machine learning algorithm, combining 11 OPO, donor, candidate, and offer variables, was used to determine factors most predictive of whether a heart offer is accepted.ResultsThere was no clinically significant difference between the top and bottom quintile OPOs in baseline donor characteristics, distance between donor and listing center, management strategies, or organ quality. Machine learning modeling suggested neither OPO donor management nor cardiac function is the primary driver of whether an organ is accepted. Instead, number of prior donor offer refusals and individual listing center receiving the offer were two of the most predictive variables of organ acceptance.ConclusionsOPO clinical practice variation does not seem to account for the discrepancy in pediatric donor heart utilization rates among OPOs. Listing center acceptance practice and prior number of donor refusals seem to be the important drivers of heart utilization and may at least partially account for the variation in OPO heart utilization rates given the regional association between OPOs and listing centers.
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来源期刊
Pediatric Transplantation
Pediatric Transplantation 医学-小儿科
CiteScore
2.90
自引率
15.40%
发文量
216
审稿时长
3-8 weeks
期刊介绍: The aim of Pediatric Transplantation is to publish original articles of the highest quality on clinical experience and basic research in transplantation of tissues and solid organs in infants, children and adolescents. The journal seeks to disseminate the latest information widely to all individuals involved in kidney, liver, heart, lung, intestine and stem cell (bone-marrow) transplantation. In addition, the journal publishes focused reviews on topics relevant to pediatric transplantation as well as timely editorial comment on controversial issues.
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