文献综述:胸部CT在疑似COVID-19患者急诊分诊中的有效性

A. Lutfiyah, I. Purnawan, Ridlwan Kamaluddin
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引用次数: 0

摘要

背景:COVID-19是由严重急性呼吸综合征冠状病毒-2 (SARS-CoV-2)病毒引起的。这种病毒的传播速度非常快,所以患者来到急诊科(ED)进行检查。初步检查采用RT-PCR法对患者进行分类。此外,最近有研究表明,计算机断层扫描(CT)可以作为一种分诊工具,帮助早期诊断疑似COVID-19患者。目的:探讨胸部CT对疑似COVID-19患者急诊分诊的指导意义。方法:使用Google Scholar、science Direct和PubMed数据库进行电子检索。文章有效期为2020年3月至2021年1月。本文检索关键词以“胸部CT”检索“triage”、“急诊室”检索“COVID-19”,以“胸部x线”检索“triage”、“急诊室”检索“COVID-19”,共检索到5篇研究文章。结果:根据在60分钟内发布新冠肺炎确诊患者胸部CT结果的速度,可以将胸部CT用作分诊工具。其次,根据胸部CT的敏感性为90.2%,根据胸部CT说明书的敏感性为89%。结论:胸部CT检查作为诊断疑似COVID-19患者的首选筛查方法非常有效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Literature Review: Effectiveness of Chest CT for Triage in the Emergency Departmet (ED) in Patients with Suspected COVID-19
Background: COVID-19 is caused by the Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) virus. The spread of this virus is very fast, so patients come to the Emergency Department (ED) for examination. The initial examination was carried out by triage the patient using the RT-PCR method. Then, there are recent studies that Computed Tomography (CT) can be used as a triage tool and help in the early diagnosis of patients with suspected COVID-19. Objectives: To determine chest CT for triage in the Emergency Department (ED) in patients with suspected COVID-19. Method:Search for articles was conducted electronically using Google Scholar, Sience Direct, and PubMed databases. Article used from March 2020 to January 2021. Keywords in this article search used the keywords "chest CT" for "triage" and "emergency department" for "COVID-19" and "chest x-ray" for "triage" and "emergency department" for "COVID-19", thus getting 5 research articles reviewed. Results: A chest CT that can be used as a triage tool based on the speed at which the chest CT results can be released depicting a confirmed COVID-19 patient in 60 minutes. Second, based on the sensitivity of chest CT there was 90.2% and according to chest CT instructions there was 89%. Conclusion: Chest CT examination is very effective as the first triage in diagnosing patients with suspected COVID-19.
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