Suppr超能文献

对高风险供体器官受者进行筛查:一项多中心回顾性研究。

Screening recipients of increased risk donor organs: A multicenter retrospective study.

作者信息

Ison Michael G, Rana Meenakshi M, Brizendine Kyle D, Chimienti Sonia, Le Jade, Kfoury Rosette, Mohazabnia Parvin, Theodoropoulos Nicole

机构信息

Division of Infectious Diseases, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.

Northwestern University Transplant Outcomes Research Collaborative (NUTORC), Comprehensive Transplant Center, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.

出版信息

Transpl Infect Dis. 2018 Jun;20(3):e12862. doi: 10.1111/tid.12862. Epub 2018 Mar 26.

Abstract

Organ Procurement & Transplantation Network policy requires post-transplant screening of recipients of organs from donors at increased risk for transmission of HIV, hepatitis B virus, and hepatitis C virus. Available data suggest that follow-up testing of recipients is not routinely conducted. Data on increased risk donors and recipients of their organs from 2008 to 2012 were retrospectively collected from 6 transplant centers after IRB approval. Descriptive statistics were performed. About 363 (60%) recipients were screened for transmission of HIV, HBV, and/or HCV at some time point; 257 (70.8%) within 90 days of transplant. The type of test used to screen for infection was variable with many recipients (25%-43%) screened with serology alone. Our results reveal that post-transplant screening for HIV, HBV, and HCV in recipients of increased risk donor organs did not universally occur and testing methods were variable.

摘要

器官获取与移植网络政策要求对接受来自感染人类免疫缺陷病毒(HIV)、乙型肝炎病毒(HBV)和丙型肝炎病毒(HCV)风险增加的供体器官的受者进行移植后筛查。现有数据表明,并未对受者进行常规的后续检测。在获得机构审查委员会(IRB)批准后,于2008年至2012年从6个移植中心回顾性收集了关于感染风险增加的供体及其器官受者的数据,并进行了描述性统计分析。约363名(60%)受者在某个时间点接受了HIV、HBV和/或HCV传播的筛查;其中257名(70.8%)在移植后90天内接受了筛查。用于筛查感染的检测类型各不相同,许多受者(25%-43%)仅接受了血清学筛查。我们的结果显示,对于接受感染风险增加的供体器官的受者,并未普遍进行移植后HIV、HBV和HCV筛查,且检测方法也各不相同。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验