新冠肺炎单感染者与新冠肺炎和流感病毒共感染者血液检测结果和症状的比较

Bo Kyeung Jung, Seung Keun Ham, Jae Kyung Kim
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引用次数: 0

摘要

2019年12月,由该病毒引起的新型冠状病毒病2019 (COVID-19)在中国出现,并在全球迅速传播,感染了数百万人。观察到COVID-19感染病例导致病毒性肺炎。从2020年11月到2021年1月,京畿道医院共收治了35名甲型和乙型流感患者,这两种病毒的症状与新冠病毒相似。将这些患者的记录与到医院就诊的新冠肺炎患者的记录进行比较。研究患者包括30名患有COVID-19和/或流感的患者,其中5名仅患有流感。121例无感染患者作为对照组。COVID-19合并流感患者乳酸脱氢酶水平明显高于单独感染COVID-19的患者。单独感染COVID-19患者的红细胞沉降率(ESR)高于其他组。与单独感染COVID-19组相比,COVID-19合并流感感染组的临床异常值显著。这些结果有望在分析感染患者的血液学数据,比较同时感染和单次感染数据,确定临床症状和其他体征方面发挥重要作用。这些结果也可能有助于开发COVID-19的疫苗和治疗方法。版权所有Ⓒ2022韩国临床检验学会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison of Blood Test Results and Symptoms of Patients with COVID-19 Monoinfection and with COVID-19 and Influenza Virus Co-Infection
In December 2019, the coronavirus disease 2019 (COVID-19) caused by the virus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged in China and spread rapidly around the world, infecting millions of people. Cases of COVID-19 infection were observed to lead to viral pneumonia. Thirty-five patients admitted to the Gyeonggi Medical Center, South Korea, between November 2020 to January 2021, were found to have been infected with the influenza virus A and B, which cause symptoms similar to COVID-19. The records of these patients and those of COVID-19 patients who visited the hospital for medical examination were compared. The study patients included thirty patients with COVID-19 and/or influenza, five of those with influenza alone. A group of 121 patients without infection was used as control. Patients with COVID-19 and influenza had significantly higher lactate dehydrogenase levels than the patients with COVID-19 alone. The erythrocyte sedimentation rate (ESR) was higher in patients with COVID-19 alone than in other groups. Significant clinical outliers were observed in the COVID-19 and influenza infection group compared with the COVID-19 alone group. These results are expected to play an important role in the analysis of the hematological data of infected patients and the comparison of simultaneous and single infection data to determine clinical symptoms and other signs. These results may also assist in the development of vaccines and treatments for COVID-19. Copyright Ⓒ 2022 The Korean Society for Clinical Laboratory Science.
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