Using routine health-care data to search for unknown transfusion-transmitted disease: a nationwide, agnostic retrospective cohort study

IF 23.8 1区 医学 Q1 MEDICAL INFORMATICS
Torsten Dahlén MD PhD , Jingcheng Zhao MD PhD , Prof Michael P Busch MD PhD , Gustaf Edgren MD PhD
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引用次数: 0

Abstract

Background

Identification and prevention of transfusion-transmitted disease is essential for blood transfusion safety. However, current surveillance systems are largely driven by reports of sentinel events, which is an approach that might be inadequate for identifying transmission of pathogens not known to be transmissible or pathogens with long incubation periods. Using a combination of health-data registers and blood-bank databases, we aimed to perform an agnostic search for potential transfusion-transmitted diseases and to identify unknown threats to the blood supply.

Methods

In this nationwide, agnostic retrospective cohort study, we developed a systematic algorithm for performing a phenome-wide search for transfusion-transmitted disease without consideration of any a-priori suspicion of blood-borne transmissibility. We applied this algorithm to a nationwide Swedish transfusion database (SCANDAT-3S) to test for possible transmission of 1155 disease entities based on all relevant diagnostic coding systems in use during the period. We ascertained health outcomes of blood donors and transfusion recipients from the Swedish National Inpatient Register, Swedish Cause of Death Register, and Swedish Cancer Register. Analyses were two-pronged, studying both disease diagnosis concordance between donors and recipients and a possible shared increased disease risk among all recipients of a given donor. For both approaches, we used Cox proportional hazards regression models with time-dependent covariates. Adjustment for multiple comparisons was done using a false discovery rate method.

Findings

The analyses included data on 1·72 million patients who had received 18·97 million transfusions (red blood cell, plasma, platelet, or whole blood units) between Jan 1, 1968, and Dec 31, 2017, from 1·04 million blood donors. The median follow-up was 4·5 (IQR 0·9–11·4) years for recipients and 18·5 (8·3–26·2) years for donors. We found evidence of transfusion-transmission for 15 diseases, of which 13 were validated using a second conceptually different approach. We identified transmission of viral hepatitis and its complications (eg, oesophageal varices) but also transmission of other conditions (eg, pneumonia of unknown origin). The diseases that could not be validated in this second approach, HIV and abnormal findings in specimens from male genital organs, were not statistically significant after adjustment for multiple testing. The effect sizes were small (close to 1) for other conditions.

Interpretation

We find no strong evidence of unexpected, widespread transfusion-transmitted disease. This novel approach serves as a proof-of-concept for agnostic, data-driven surveillance for transfusion-transmitted disease using routinely collected blood-bank and health-care data.

Funding

Department of Health and Human Services, US National Heart, Lung, and Blood Institute, US National Institutes of Health, Swedish Research Council and Region Stockholm.

利用常规医疗保健数据搜索未知输血传播疾病:一项全国范围的不可知回顾性队列研究
背景识别和预防输血传播疾病对输血安全至关重要。然而,目前的监测系统主要由哨点事件报告驱动,这种方法可能不足以识别未知可传播的病原体或潜伏期较长的病原体的传播。在这项全国范围内的不可知论回顾性队列研究中,我们开发了一种系统算法,用于对输血传播疾病进行全表搜索,而不考虑任何先验的血液传播性怀疑。我们将该算法应用于瑞典全国范围的输血数据库(SCANDAT-3S),根据这一时期使用的所有相关诊断编码系统检测了 1155 种疾病实体的可能传播情况。我们从瑞典全国住院病人登记册、瑞典死因登记册和瑞典癌症登记册中确定了献血者和输血者的健康状况。分析是双管齐下的,既研究献血者和受血者之间疾病诊断的一致性,也研究特定献血者的所有受血者之间可能共同增加的疾病风险。对于这两种方法,我们都使用了带有时间协变量的考克斯比例危险回归模型。分析纳入了 1968 年 1 月 1 日至 2017 年 12 月 31 日期间接受过 1,800 万至 9,700 万次输血(红细胞、血浆、血小板或全血单位)的 1,7200 万名患者的数据,这些患者来自 1,0400 万名献血者。受血者的随访中位数为 4-5 年(IQR 0-9-11-4),献血者的随访中位数为 18-5 年(8-3-26-2)。我们发现了 15 种疾病的输血传播证据,其中 13 种已通过第二种概念不同的方法进行了验证。我们发现了病毒性肝炎及其并发症(如食道静脉曲张)的传播,也发现了其他疾病(如不明原因肺炎)的传播。在第二种方法中无法验证的疾病,即艾滋病毒和男性生殖器官标本中的异常结果,在对多重检测进行调整后并无统计学意义。其他疾病的效应大小较小(接近 1)。这种新方法证明了利用日常收集的血库和医疗数据对输血传播疾病进行不可知的、数据驱动的监测的概念。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
41.20
自引率
1.60%
发文量
232
审稿时长
13 weeks
期刊介绍: The Lancet Digital Health publishes important, innovative, and practice-changing research on any topic connected with digital technology in clinical medicine, public health, and global health. The journal’s open access content crosses subject boundaries, building bridges between health professionals and researchers.By bringing together the most important advances in this multidisciplinary field,The Lancet Digital Health is the most prominent publishing venue in digital health. We publish a range of content types including Articles,Review, Comment, and Correspondence, contributing to promoting digital technologies in health practice worldwide.
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