埃博拉疫情爆发期间患者分流的快速决策算法

IF 7.2 2区医学 Q1 IMMUNOLOGY

Emerging Infectious Diseases Pub Date : 2024-10-18 DOI:10.3201/eid3011.231650

Denis-Luc Ardiet, Justus Nsio, Gaston Komanda, Rebecca M. Coulborn, Emmanuel Grellety, Francesco Grandesso, Richard Kitenge, Dolla L. Ngwanga, Bibiche Matady, Guyguy Manangama, Mathias Mossoko, John K. Ngwama, Placide Mbala, Francisco Luquero, Klaudia Porten, Steve Ahuka-Mundeke

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引用次数: 0

摘要

埃博拉病毒病临床症状的特异性很低，这增加了疫情爆发期间向患者和医护人员进行院内传播的风险。要降低这种风险，就必须识别出极有可能感染埃博拉病毒的患者。通过对埃博拉病毒感染疑似患者的回顾性数据进行分析，确定了埃博拉病毒疾病预测评分的 13 个强预测因子和发病时间。我们还注意到，有 4 个高预测性变量可以区分感染高风险患者，而与他们的分数无关。在回顾性数据上对这一算法进行外部验证后发现，感染的概率随着分数的增加而持续上升。

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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Rapid Decision Algorithm for Patient Triage during Ebola Outbreaks

The low specificity of Ebola virus disease clinical signs increases the risk for nosocomial transmission to patients and healthcare workers during outbreaks. Reducing this risk requires identifying patients with a high likelihood of Ebola virus infection. Analyses of retrospective data from patients suspected of having Ebola virus infection identified 13 strong predictors and time from disease onset as constituents of a prediction score for Ebola virus disease. We also noted 4 highly predictive variables that could distinguish patients at high risk for infection, independent of their scores. External validation of this algorithm on retrospective data revealed the probability of infection continuously increased with the score.

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来源期刊

Emerging Infectious Diseases 医学-传染病学

CiteScore

17.30

自引率

1.70%

发文量

505

审稿时长

1 months

期刊介绍： Emerging Infectious Diseases is a monthly open access journal published by the Centers for Disease Control and Prevention. The primary goal of this peer-reviewed journal is to advance the global recognition of both new and reemerging infectious diseases, while also enhancing our understanding of the underlying factors that contribute to disease emergence, prevention, and elimination. Targeted towards professionals in the field of infectious diseases and related sciences, the journal encourages diverse contributions from experts in academic research, industry, clinical practice, public health, as well as specialists in economics, social sciences, and other relevant disciplines. By fostering a collaborative approach, Emerging Infectious Diseases aims to facilitate interdisciplinary dialogue and address the multifaceted challenges posed by infectious diseases.