Distinguishing Coronavirus Disease 2019 Patients From General Surgery Emergency Patients With the CIAAD Scale: Development and Validation of a Prediction Model Based on 822 Cases in China

Distinguishing Coronavirus Disease 2019 Patients From General Surgery Emergency Patients With the CIAAD Scale: Development and Validation of a Prediction Model Based on 822 Cases in China

Background: During the epidemic, surgeons cannot identify infectious acute abdomen patients with suspected coronavirus disease 2019 (COVID-19) immediately using the current widely applied methods, such as double nucleic acid detection. We aimed to develop and validate a prediction model, presented a...

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Bibliographic Details
Main Authors: Bangbo Zhao, Yingxin Wei, Wenwu Sun, Cheng Qin, Xingtong Zhou, Zihao Wang, Tianhao Li, Hongtao Cao, Yujun Wang, Weibin Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-04-01
Series:Frontiers in Medicine
Subjects:
COVID-19
infectious acute abdomen
prediction model
nomogram
prediction scale
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2021.601941/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2021.601941/full

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