Suppr超能文献

用于预测埃博拉病毒治疗院内结局的严重度评分。

Severity score for predicting in-facility Ebola treatment outcome.

机构信息

Center for International Health, University of Munich (LMU), Munich, Germany; Department of Environmental Health Sciences, Njala University, Bo, Sierra Leone.

Department of Statistics, University of Munich (LMU), Munich, Germany.

出版信息

Ann Epidemiol. 2020 Sep;49:68-74. doi: 10.1016/j.annepidem.2020.07.017. Epub 2020 Aug 5.

Abstract

PURPOSE

Sierra Leone recorded the highest incidence rate for the 2013-2016 West African Ebola outbreak. In this investigation, we used the medical records of Ebola patients with different sociodemographic and clinical features to determine the factors that are associated with Ebola treatment outcome during the 2013-2016 West African Ebola outbreak in Sierra Leone and constructed a predictive in-facility mortality score.

METHODS

We used the anonymized medical records of 1077 laboratory-confirmed pediatric and adult patients with EVD who received treatment at the 34 Military Hospital and the Police Training School Ebola Treatment Centers in Sierra Leone between the period of June 2014 and April 2015. We later determined the in-facility case fatality rates for Ebola, the odds of dying during Ebola treatment, and later constructed a predictive in-facility mortality score for these patients based on their clinical and sociodemographic characteristics.

RESULTS

We constructed a model that partitioned the study population into three mortality risk groups of equal patient numbers, based on risk scoring: low (score ≤ -5), medium (score -4 to 1), and high-risk group (score ≥ 2). The CFR of patients with EVD belonging to the low- (≤-5), medium (-4 to 1), and high- (≥2) risk groups were 0.56%, 9.75%, and 67.41%, respectively.

CONCLUSIONS

We succeeded in designing an in-facility mortality risk score that reflects EVD clinical severity and can assist in the clinical prioritization of patients with EVD.

摘要

目的

塞拉利昂记录了 2013-2016 年西非埃博拉疫情的最高发病率。在这项调查中,我们使用了具有不同社会人口学和临床特征的埃博拉患者的病历,以确定在 2013-2016 年塞拉利昂西非埃博拉疫情期间与埃博拉治疗结果相关的因素,并构建了一个预测院内死亡率的评分。

方法

我们使用了 2014 年 6 月至 2015 年 4 月期间在塞拉利昂 34 号军事医院和警察培训学校埃博拉治疗中心接受治疗的 1077 例实验室确诊的小儿和成人埃博拉病毒病患者的匿名病历。我们随后确定了埃博拉的院内病死率、埃博拉治疗期间死亡的几率,并根据患者的临床和社会人口学特征,为这些患者构建了一个预测院内死亡率的评分。

结果

我们构建了一个模型,根据风险评分将研究人群分为三个死亡率风险相等的患者数量组:低风险组(评分≤-5)、中风险组(评分-4 至 1)和高风险组(评分≥2)。EVD 患者属于低风险组(≤-5)、中风险组(-4 至 1)和高风险组(≥2)的 CFR 分别为 0.56%、9.75%和 67.41%。

结论

我们成功设计了一个反映埃博拉病毒病临床严重程度的院内死亡率风险评分,可以帮助对埃博拉病毒病患者进行临床优先排序。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验