Factors associated with death in patients admitted with Ebola virus disease to Ebola Treatment Units in Guinea, Sierra Leone, and Liberia - December 2013 to March 2016.

Q2 Pharmacology, Toxicology and Pharmaceutics
F1000Research Pub Date : 2025-03-03 eCollection Date: 2024-01-01 DOI:10.12688/f1000research.149612.2
Trokon Omarley Yeabah, Ibrahima Kaba, Gomathi Ramaswamy, Prabin Dahal, Alexandre Delamou, Benjamin T Vonhm, Ralph W Jetoh, Laura Merson, Adam C Levine, Pryanka Relan, Anthony D Harries, Ajay M V Kumar
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引用次数: 0

Abstract

Background: The 2013-2016 West African Ebola Virus Disease (EVD) outbreak resulted in 28,600 cases and 11,300 deaths officially reported to the World Health Organization. Previous studies investigating factors associated with death had conflicting findings, interventions showing promising outcomes had small sample sizes, studies were often single- or dual-country based and most focused on laboratory-confirmed EVD and not on clinically-suspected EVD. We used the Ebola data platform of the Infectious Disease Data Observatory (IDDO) to review individual patient records to assess factors associated with death, and particularly whether there were differences between laboratory-confirmed and clinically-suspected cases.

Methods: This was a cohort study involving analysis of secondary data in the IDDO database. The study population included all patients classified as having either clinically-suspected or laboratory-confirmed EVD, admitted to 22 Ebola Treatment Units (ETU) in Guinea, Liberia and Sierra Leone between December 2013 and March 2016. Baseline characteristics and treatments were documented along with ETU exit outcomes. Factors associated with death were investigated by multivariable modified Poisson regression.

Results: There were 14,163 patients, of whom 6,208 (43.8%) were laboratory-confirmed and 7,955 (56.2%) were clinically-suspected. Outcomes were not recorded in 2,889 (20.4%) patients. Of the 11,274 patients with known outcomes, 4,090 (36.3%) died: 2,956 (43.6%) with laboratory-confirmed EVD and 1,134 (18.8%) with clinically-suspected EVD. The strongest risk factor for death was confirmed disease status. Patients with laboratory-confirmed disease had 2.9 times higher risk of death compared to clinically-suspected patients, after adjusting for other co-variables. Other factors significantly associated with death included a higher risk for patients aged ≥60 years and a lower risk for patients in Sierra Leone.

Conclusions: Although laboratory-confirmed patients admitted to ETUs fared worse than clinically-suspected patients, the latter still had a substantial risk of death and more attention needs to be paid to this group in future EVD outbreaks.

2013年12月至2016年3月,几内亚、塞拉利昂和利比里亚埃博拉治疗单位收治的埃博拉病毒病患者死亡相关因素
背景:2013-2016年西非埃博拉病毒病(EVD)暴发导致向世界卫生组织正式报告的28,600例病例和11,300例死亡。以往调查与死亡相关因素的研究结果相互矛盾,显示有希望结果的干预措施样本量小,研究往往是基于一国或两国的,并且最侧重于实验室确诊的埃博拉病毒病,而不是临床怀疑的埃博拉病毒病。我们使用传染病数据观测站(IDDO)的埃博拉数据平台来审查个体患者记录,以评估与死亡相关的因素,特别是实验室确诊病例和临床疑似病例之间是否存在差异。方法:这是一项队列研究,涉及IDDO数据库中的次要数据分析。研究人群包括2013年12月至2016年3月期间在几内亚、利比里亚和塞拉利昂的22个埃博拉治疗单位(ETU)住院的所有临床疑似或实验室确诊的埃博拉患者。记录基线特征和治疗以及ETU退出结果。采用多变量修正泊松回归分析死亡相关因素。结果:14163例患者中,实验室确诊6208例(43.8%),临床疑似7955例(56.2%)。2889例(20.4%)患者未记录预后。在已知结局的11274例患者中,4090例(36.3%)死亡:2956例(43.6%)死于实验室确诊的埃博拉病毒病,1134例(18.8%)死于临床怀疑的埃博拉病毒病。死亡的最大危险因素是确诊的疾病状况。在对其他协变量进行调整后,实验室确诊的疾病患者的死亡风险是临床疑似患者的2.9倍。其他与死亡显著相关的因素包括年龄≥60岁的患者风险较高,塞拉利昂患者风险较低。结论:虽然入院的实验室确诊患者的预后比临床疑似患者差,但后者仍有很大的死亡风险,在未来的EVD暴发中需要对这一群体给予更多的关注。
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来源期刊
F1000Research
F1000Research Pharmacology, Toxicology and Pharmaceutics-Pharmacology, Toxicology and Pharmaceutics (all)
CiteScore
5.00
自引率
0.00%
发文量
1646
审稿时长
1 weeks
期刊介绍: F1000Research publishes articles and other research outputs reporting basic scientific, scholarly, translational and clinical research across the physical and life sciences, engineering, medicine, social sciences and humanities. F1000Research is a scholarly publication platform set up for the scientific, scholarly and medical research community; each article has at least one author who is a qualified researcher, scholar or clinician actively working in their speciality and who has made a key contribution to the article. Articles must be original (not duplications). All research is suitable irrespective of the perceived level of interest or novelty; we welcome confirmatory and negative results, as well as null studies. F1000Research publishes different type of research, including clinical trials, systematic reviews, software tools, method articles, and many others. Reviews and Opinion articles providing a balanced and comprehensive overview of the latest discoveries in a particular field, or presenting a personal perspective on recent developments, are also welcome. See the full list of article types we accept for more information.
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