Comparison of clinical, radiological and laboratory findings in discharged and dead patients with COVID-19

比较新冠肺炎出院患者和死亡患者的临床、放射学和实验室检查结果

阅读:1

Abstract

BACKGROUND: Coronavirus disease 19 (COVID-19) is a recently described infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Iran was the first country where the SARS-Cov-2 was detected in the Middle East. In the current study, we aimed to evaluate the clinical, radiological and laboratory findings in hospitalized COVID-19 confirmed cases in Iran. METHODS: The clinical manifestations, radiological data, laboratory findings, and the underlying diseases of the patients with COVID-19 were obtained from electronic medical records. Next, this information was compared in discharged and dead patients. RESULTS: Overall, 4028 patients with COVID-19 including 3088 discharged, 778 dead, and 162 still hospitalized patients were enrolled in this study. The highest percentage of people who recovered (55%) was between 30 and 60 years old and the highest percentage of deaths (74.4%) was more than 60 years old. Based on demographic data, 50.05% were female and 49.95% were male. Clinical evaluations revealed that dyspnea (56.9%), cough (31.4%) and fever (17.8%) were the most manifestations. Comorbidities were significantly higher in the dead group. Laboratory analysis revealed abnormalities in lymphocyte count (LYM), erythrocyte sedimentation rate (ESR), and inflammatory biomarkers such as C-reactive protein (CRP). The most prevalent computed tomography (CT) scan data were ground-glass opacity (GGO) (30.5%) and consolidation (9.4%). CONCLUSIONS: Laboratory parameters and clinical and radiological findings help to evaluate the follow-up of the disease in patients. Age and comorbidities are factors that predispose people to COVID-19. Further research is needed to evaluate the effects of various factors on the progression of COVID-19 infection.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。