Department of Emergency Medicine, Faculty of Medicine, University of Thessaly, BIOPOLIS, Larissa, Greece.
Department of Respiratory Medicine, Faculty of Medicine, University of Thessaly, Biopolis, Larissa, Greece.
Expert Rev Respir Med. 2022 Mar;16(3):263-272. doi: 10.1080/17476348.2022.2049760. Epub 2022 Mar 10.
Coronavirus Disease 19 (COVID-19) diagnosis has been a major problem in most Emergency Departments (EDs) and other senior care facilities. Various clinical manifestations, and the several radiologic and laboratory data combined with the misleading test results to identify the virus, are responsible for certain misdiagnoses, especially in suspected cases needing urgent management and treatment. Although emergency and other front-line physicians struggle to manage COVID-19 patients, still existent cases with ambiguous diagnosis trammel the ED safety and responsibility.
This review article summarizes on a large scale the common information for the medical history, clinical examinations, radiology and laboratory data for SARS-CoV-2. We summarize the available literature using the PubMed, Science Direct and EMBASE databases published until December 2021 on the general information for COVID-19 diagnosis, and, finally, we propose algorithms for a precise and on-the-spot diagnosis the disease.
COVID-19 diagnosis has appeared to be such ambiguous, and physicians need to correlate medical history, medical examination, potential extrapulmonary manifestations, along with laboratory and radiologic data, for a prompt COVID-19 diagnosis.
在大多数急诊部(ED)和其他高级护理机构,新型冠状病毒病 19(COVID-19)的诊断一直是一个主要问题。各种临床表现,以及多种影像学和实验室数据,并结合具有误导性的检测结果来识别病毒,导致了某些误诊,尤其是在需要紧急处理和治疗的疑似病例中。尽管急诊和其他一线医生努力管理 COVID-19 患者,但仍然存在诊断不明确的病例,这给 ED 的安全和责任带来了困扰。
本文综述了 SARS-CoV-2 的病史、临床检查、影像学和实验室数据的常见信息。我们使用 PubMed、Science Direct 和 EMBASE 数据库,汇总了截至 2021 年 12 月发表的关于 COVID-19 诊断的一般信息的相关文献,并最终提出了用于准确和现场诊断该疾病的算法。
COVID-19 的诊断似乎存在很大的模糊性,医生需要将病史、体格检查、潜在的肺外表现以及实验室和影像学数据进行关联,以便快速诊断 COVID-19。