Elizabeth J Bashian,Thomas F O'Shea,Susana Arrigain,Rocio Lopez,Jesse D Schold,Alison H Mungo,Elizabeth A David,Alice L Gray,Jordan R H Hoffman,Michael T Cain
{"title":"Out-of-Sequence Lung Allocation and Outcomes for Bypassed Candidates in the United States.","authors":"Elizabeth J Bashian,Thomas F O'Shea,Susana Arrigain,Rocio Lopez,Jesse D Schold,Alison H Mungo,Elizabeth A David,Alice L Gray,Jordan R H Hoffman,Michael T Cain","doi":"10.1016/j.healun.2026.07.016","DOIUrl":null,"url":null,"abstract":"BACKGROUND\r\nOut-of-sequence (OOS) allocation allows organ procurement organizations (OPOs) to expedite organ placement outside of match-run order, but outcomes for candidates bypassed during OOS placement are poorly described. We evaluated the frequency, timing, and outcomes of candidates skipped when a lung offer was placed OOS.\r\n\r\nMETHODS\r\nUsing Scientific Registry of Transplant Recipients (SRTR) data, we identified all adult lung transplant prevalent candidates between 1/1/2021 and 11/30/2024. Candidates were classified as skipped if bypassed during an OOS offer. Competing-risk analyses estimated cumulative incidence of transplant, death, or removal for clinical deterioration following first skip. Cox models with time-dependent skip exposure evaluated associations with outcomes. Sensitivity analyses were restricted to candidates listed after implementation of Composite Allocation Score (CAS).\r\n\r\nRESULTS\r\nAmong 12,967 candidates, 7,468 (58%) were skipped at least once. Median time from listing date (or 1/1/2021) to first skip was 9 days (IQR 3-26). After first skip, 6-month cumulative incidence was 74% for transplant, 2.0% for death, and 1.5% for removal due to deterioration. In time-dependent models, skipping was associated with a higher likelihood of transplant (adjusted HR 1.43, 95% CI 1.37-1.49) and lower hazard of death (adjusted HR 0.76, 95% CI 0.64-0.90). Center-level transplant rates among skipped candidates varied substantially, with a median of 218 (IQR 157-372) transplants per 100 patient years.\r\n\r\nCONCLUSION\r\nOOS allocation is common, occurs early after listing, and is not associated with worse short-term waitlist survival. However, marked center-level variation in post-skip transplant rates suggests heterogeneity in implementation and raises concern for inconsistent application of OOS practice and potential inequity in lung allocation.","PeriodicalId":22654,"journal":{"name":"The Journal of Heart and Lung Transplantation","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2026-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Journal of Heart and Lung Transplantation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.healun.2026.07.016","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
BACKGROUND
Out-of-sequence (OOS) allocation allows organ procurement organizations (OPOs) to expedite organ placement outside of match-run order, but outcomes for candidates bypassed during OOS placement are poorly described. We evaluated the frequency, timing, and outcomes of candidates skipped when a lung offer was placed OOS.
METHODS
Using Scientific Registry of Transplant Recipients (SRTR) data, we identified all adult lung transplant prevalent candidates between 1/1/2021 and 11/30/2024. Candidates were classified as skipped if bypassed during an OOS offer. Competing-risk analyses estimated cumulative incidence of transplant, death, or removal for clinical deterioration following first skip. Cox models with time-dependent skip exposure evaluated associations with outcomes. Sensitivity analyses were restricted to candidates listed after implementation of Composite Allocation Score (CAS).
RESULTS
Among 12,967 candidates, 7,468 (58%) were skipped at least once. Median time from listing date (or 1/1/2021) to first skip was 9 days (IQR 3-26). After first skip, 6-month cumulative incidence was 74% for transplant, 2.0% for death, and 1.5% for removal due to deterioration. In time-dependent models, skipping was associated with a higher likelihood of transplant (adjusted HR 1.43, 95% CI 1.37-1.49) and lower hazard of death (adjusted HR 0.76, 95% CI 0.64-0.90). Center-level transplant rates among skipped candidates varied substantially, with a median of 218 (IQR 157-372) transplants per 100 patient years.
CONCLUSION
OOS allocation is common, occurs early after listing, and is not associated with worse short-term waitlist survival. However, marked center-level variation in post-skip transplant rates suggests heterogeneity in implementation and raises concern for inconsistent application of OOS practice and potential inequity in lung allocation.
顺序外(OOS)分配允许器官采购组织(opo)加快匹配运行顺序之外的器官安置,但在OOS安置期间被绕过的候选人的结果描述不佳。我们评估了当肺offer被放置OOS时,候选人跳过的频率、时间和结果。方法使用移植受者科学登记(SRTR)数据,确定2021年1月1日至2024年11月30日期间所有成人肺移植流行候选人。如果候选人在OOS报价期间被绕过,则将其归类为跳过。竞争风险分析估计了第一次跳跃后临床恶化的移植、死亡或切除的累积发生率。Cox模型与时间依赖的跳过暴露评估与结果的关联。敏感性分析仅限于实施复合分配评分(CAS)后列出的候选患者。结果在12967名考生中,有7468人(58%)至少被跳过一次。从上市日期(或2021年1月1日)到第一次跳过的中位数时间为9天(IQR 3-26)。第一次跳跃后,6个月累计移植发生率为74%,死亡发生率为2.0%,因恶化而切除发生率为1.5%。在时间依赖的模型中,跳跃性与较高的移植可能性(调整后的风险比1.43,95% CI 1.37-1.49)和较低的死亡风险(调整后的风险比0.76,95% CI 0.64-0.90)相关。在被跳过的候选患者中,中心水平的移植率差异很大,平均每100名患者年移植218例(IQR 157-372)。结论:oos分配是常见的,发生在上市后早期,与较差的短期等待名单生存无关。然而,跳跃后移植率的显著中心水平差异表明了实施的异质性,并引起了对OOS实践应用不一致和肺分配潜在不公平的关注。