COVID-19 Cases Detection: Suspect Case Strategy

Advanced Emergency Medicine

View Publication Info
 
 
Field Value
 
Title COVID-19 Cases Detection: Suspect Case Strategy
 
Creator Ji, Zhongliang
Lu, Kailin
Sun, Xuedong
 
Subject Suspect Case; COVID-19; RT-PCR; Blood Test; Chest CT
 
Description Background and objective: as COVID-19 has triggered enormous human casualties and disastrous economic loss, the strategies to contain its spread are urgently needed. We aim to assess the value of our suspect case strategy on COVID-19 cases detection and ensure it to be a complement to the RT-PCR test. Materials and methods: from January 23 to April 30, 2020, patients admitted to our emergence isolation ward (EIW) were analyzed in this study. With RT-PCR as a reference standard, all participants were assigned to COVID-19 positive and negative groups. We compared the performance of the suspect case strategy, WBC, LYM, and chest radiography on COVID-19 detection. Results: one hundred twenty-five cases were analyzed in the study period. The receiver operating characteristic (ROC) curve revealed the sensitivity of WBC and LYM on COVID-19 detection was 92.11% and 76.31%, respectively. The sensitivity of the suspect case was 94.73%, and the sensitivity of chest CT was 53.33%. Statistically significant differences were observed for the suspect case, WBCs, LYM, and chest CT on COVID-19 detection. Discussion: suspect case strategy can help identify false negative RT-PCR tests and be a useful complement to RT-PCR in some countries with a tremendous shortage of RT-PCR agents and specialized laboratory during the COVID-19 outbreak.
 
Publisher Universe Scientific Publishing Pte. Ltd.
 
Contributor
 
Date 2020-10-13
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion

 
Format application/pdf
 
Identifier http://aem.usp-pl.com/index.php/aem/article/view/175
10.18686/aem.v9i3.175
 
Source Advanced Emergency Medicine; Vol 9, No 3 (Published); 72-77
2315-456X
 
Language eng
 
Relation http://aem.usp-pl.com/index.php/aem/article/view/175/169
 
Rights Copyright (c) 2020 Zhongliang Ji, Kailin Lu, Xuedong Sun
http://creativecommons.org/licenses/by-nc/4.0
 

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