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BASIC评分：一种识别新型冠状病毒肺炎早期进展为重症高风险患者的有用工具。

The BASIC Score: A Useful Tool to Identify Patients at High Risk of Early Progression to Severe Coronavirus Disease 2019.

作者信息

Kaeuffer Charlotte, Ruch Yvon, Fabacher Thibaut, Hinschberger Olivier, Mootien Joy, Eyriey Magali, Greigert Valentin, Meyer Nicolas, Fafi-Kremer Samira, Lefebvre Nicolas, Hansmann Yves, Martinot Martin, Danion François

机构信息

CHU de Strasbourg, Department of Infectious and Tropical Diseases, Strasbourg, France.

Fédération de Médecine Translationnelle de Strasbourg, Université de Strasbourg, Strasbourg, France.

出版信息

Open Forum Infect Dis. 2020 Sep 1;7(10):ofaa405. doi: 10.1093/ofid/ofaa405. eCollection 2020 Oct.

DOI:10.1093/ofid/ofaa405
PMID:33274248
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7499730/
Abstract

We developed a score, with easily accessible data (age, sex, body mass index, dyspnea, inflammatory parameters), to predict the risk of rapid progression to severe coronavirus disease 2019. Using a cutoff of >6 points, the negative predictive value was 87%.

摘要

我们开发了一种评分系统，利用易于获取的数据（年龄、性别、体重指数、呼吸困难、炎症参数）来预测快速进展为重症2019冠状病毒病的风险。使用>6分的临界值时，阴性预测值为87%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/920f/7690364/b0818b9637ea/ofaa405_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/920f/7690364/b0818b9637ea/ofaa405_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/920f/7690364/b0818b9637ea/ofaa405_fig1.jpg

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2
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3
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