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Do patient decision aids help people who are facing decisions about solid organ transplantation? A systematic review.患者决策辅助工具是否有助于面临实体器官移植决策的人?系统评价。
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本文引用的文献

1
Handling time varying confounding in observational research.处理观察性研究中的时变混杂因素。
BMJ. 2017 Oct 16;359:j4587. doi: 10.1136/bmj.j4587.
2
A kidney offer acceptance decision tool to inform the decision to accept an offer or wait for a better kidney.一个肾脏供体接受决策工具,用于告知接受供体或等待更好肾脏的决策。
Am J Transplant. 2018 Apr;18(4):897-906. doi: 10.1111/ajt.14506. Epub 2017 Oct 17.
3
Kidney allograft offers: Predictors of turndown and the impact of late organ acceptance on allograft survival.肾移植供体:拒绝接受的预测因素以及晚期器官接受对移植物存活率的影响。
Am J Transplant. 2018 Feb;18(2):391-401. doi: 10.1111/ajt.14449. Epub 2017 Sep 2.
4
Survival Benefit of Transplantation with a Deceased Diabetic Donor Kidney Compared with Remaining on the Waitlist.与继续等待相比,接受糖尿病死亡供者肾脏移植的生存获益
Clin J Am Soc Nephrol. 2017 Jun 7;12(6):974-982. doi: 10.2215/CJN.10280916. Epub 2017 May 25.
5
Consolidation in the Dialysis Industry, Patient Choice, and Local Market Competition.透析行业的整合、患者选择与本地市场竞争。
Clin J Am Soc Nephrol. 2017 Mar 7;12(3):536-545. doi: 10.2215/CJN.06340616. Epub 2016 Nov 9.
6
Predictors of Deceased Donor Kidney Discard in the United States.美国死亡供体肾脏废弃的预测因素。
Transplantation. 2017 Jul;101(7):1690-1697. doi: 10.1097/TP.0000000000001238.
7
Survival benefit of primary deceased donor transplantation with high-KDPI kidneys.高KDPI肾脏的原发性脑死亡供体移植的生存获益。
Am J Transplant. 2014 Oct;14(10):2310-6. doi: 10.1111/ajt.12830. Epub 2014 Aug 19.
8
New national allocation policy for deceased donor kidneys in the United States and possible effect on patient outcomes.美国已故捐赠者肾脏的新国家分配政策及其对患者治疗结果的可能影响。
J Am Soc Nephrol. 2014 Aug;25(8):1842-8. doi: 10.1681/ASN.2013070784. Epub 2014 May 15.
9
PHS guideline for reducing human immunodeficiency virus, hepatitis B virus, and hepatitis C virus transmission through organ transplantation.通过器官移植减少人类免疫缺陷病毒、乙型肝炎病毒和丙型肝炎病毒传播的公共卫生服务指南。
Public Health Rep. 2013 Jul;128(4):247-343. doi: 10.1177/003335491312800403.
10
Methods for dealing with time-dependent confounding.处理时依混杂的方法。
Stat Med. 2013 Apr 30;32(9):1584-618. doi: 10.1002/sim.5686. Epub 2012 Dec 3.

利用边际结构模型与 Cox 回归评估接受与拒绝肾移植供体的生存获益。

Leveraging marginal structural modeling with Cox regression to assess the survival benefit of accepting vs declining kidney allograft offers.

机构信息

Renal-Electrolyte and Hypertension Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.

Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.

出版信息

Am J Transplant. 2019 Jul;19(7):1999-2008. doi: 10.1111/ajt.15290. Epub 2019 Mar 2.

DOI:10.1111/ajt.15290
PMID:30725536
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6591028/
Abstract

Existing studies evaluating the survival benefit of kidney transplantation were unable to incorporate time-updated information on decisions related to each organ offer. We used national registry data, including organ turndown data, to evaluate the survival benefit of accepting vs turning down kidney offers in candidates waitlisted from 2007-2013. Among candidates who declined their first offer, only 43% ultimately received organ transplantations. Recipients who later underwent organ transplantation after declining their first offer had markedly longer wait times than recipients who accepted their first offer, and 56% received kidney transplants that were of similar or lower quality compared to their initial offer. In marginal structural modeling analyses accounting for time-updated offer characteristics (including Kidney Donor Profile Index, Public Health System risk status, and pumping), after 3 months posttransplant, there was a significant survival benefit of accepting an offer (adjusted hazard ratio 0.76, 95% confidence interval 0.66-0.89) that was similar among diabetics, candidates aged >65 years, and candidates living in donor service areas with the longest waitlist times. After carefully accounting for the effect of donor quality, we confirm that the survival benefit of accepting an organ offer is clinically meaningful and persistent beyond 3 months post-kidney transplantation, including high-risk subgroups of organ transplantation candidates.

摘要

现有的评估肾移植生存获益的研究无法纳入与每个器官供体相关决策的最新信息。我们使用国家登记数据,包括器官放弃数据,评估了 2007 年至 2013 年期间等待名单上的候选人接受与拒绝肾源的生存获益。在拒绝了首次供体的候选人中,只有 43%最终接受了器官移植。与接受首次供体的患者相比,拒绝首次供体后接受器官移植的患者等待时间明显更长,并且 56%的患者接受的移植器官与首次供体相似或质量更低。在考虑了时间更新的供体特征(包括肾脏供体评分指数、公共卫生系统风险状况和泵功能)的边际结构模型分析中,移植后 3 个月,接受供体的生存获益具有显著统计学意义(调整后的风险比 0.76,95%置信区间 0.66-0.89),且在糖尿病患者、年龄 >65 岁的患者和等待时间最长的供体服务区的患者中相似。在仔细考虑供体质量的影响后,我们确认接受器官供体的生存获益具有临床意义,且在肾移植后 3 个月后仍持续存在,包括器官移植候选人群的高危亚组。