The Clinical and Radiological Manifestations in Coronavirus Disease (COVID-19) with Negative Nucleic Acid Results

OPEN FORUM INFECTIOUS DISEASES(2020)

引用 1|浏览44
暂无评分
摘要
Background. Coronavirus disease 2019 (COVID-19) was a new emerging disease with high infectiousness. Its diagnosis primarily depended on real-time polymerase chain reaction (RT-PCR) results. This study investigated epidemiological, clinical, and radiological characteristics of COVID-19 with negative RT-PCR results before confirmation. Methods. Patients with COVID-19 were enrolled and divided into 2 groups: a negative group with negative RT-PCR results before confirmation and a positive group with positive results at the first detection. Epidemiological and clinical features were compared. Dynamic chest computerized tomography (CT) images of the negative group were evaluated. Results. Ninety-nine laboratory-confirmed patients with COVID-19 including 8 patients (8%) with negative RT-PCR results were included. Patients from the negative group had similar epidemiological features: the average age (50.25 +/- 13.27 years in the negative group and 53.70 +/- 16.64 years in the positive group) and gender distribution (males made up 50% of the negative group and 62.6% of the positive group) were comparable. No significant differences were observed in clinical symptoms between the 2 groups. We found that fever was the most common symptom for both groups, followed by cough, expectoration, chest distress, fatigue, and gastroenterological symptoms. Moreover, ground-glass opacities and consolidations were the main manifestation in chest CT of patients with COVID-19 with or without confirmed RT-PCR results. Conclusions. Regardless of initial RT-PCR results, patients with COVID-19 had similar epidemiological, clinical, and chest CT features. Our study suggests value from early chest CT scans in COVID-19 screening and dynamic significance of radiology in disease monitoring should guide clinical decisions.
更多
查看译文
关键词
chest CT,COVID-19,early diagnosis,RT-PCR,SARS-CoV-2
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要