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Clinical Features of 81 Hospitalized Patients with 2019 Novel Coronavirus-Infected Pneumonia in Jingzhou, China: A Descriptive Study

33 Pages Posted: 2 Mar 2020

See all articles by Fengqin Zhang

Fengqin Zhang

Huazhong University of Science and Technology - Department of Respiratory and Critical Care Medicine

Li He

Huazhong University of Science and Technology - Department of Respiratory Medicine

Yaoling Ouyang

Jingzhou Central Hospital - Department Of Laboratory Medicine

Jianhua Gong

Huazhong University of Science and Technology - Department of Respiratory Medicine

Xinying Li

Huazhong University of Science and Technology - Department of Epidemiology and Biostatistics

Yanqiu Wei

Huazhong University of Science and Technology - Department of Respiratory and Critical Care Medicine

Jiaojiao Chu

Huazhong University of Science and Technology - Department of Respiratory and Critical Care Medicine

Huihui Yue

Huazhong University of Science and Technology - Department of Respiratory and Critical Care Medicine

Lili Yu

Huazhong University of Science and Technology - Department of Respiratory Medicine

Tao Li

Jingzhou Central Hospital - Department Of Laboratory Medicine

Yimin Cai

Huazhong University of Science and Technology - Department of Epidemiology and Biostatistics

Zequn Lu

Huazhong University of Science and Technology - Department of Epidemiology and Biostatistics

Jingping Ma

Yangtze University - Department of Respiratory and Critical Medicine

Jianping Zhao

Huazhong University of Science and Technology - Department of Respiratory and Critical Care Medicine

Xiaoping Miao

Huazhong University of Science and Technology - Department of Epidemiology and Biostatistics

Li Liu

Huazhong University of Science and Technology - Department of Epidemiology and Biostatistics

Hui-Lan Zhang

Huazhong University of Science and Technology - Department of Respiratory and Critical Care Medicine

More...

Abstract

Background: Since the outbreak of COVID-19 in Wuhan, a large number of people have been infected. However the majority of existing medical institutions could not report the Ct value (Cycle threshold), can only distinguish between positive and negative. In fact, our prediction of viral load is absolutely critical to the severity of the disease and the clinical diagnosis.

Methods: We collected the basic data of 81 patients diagnosed with COVID-19 and admitted to Jingzhou central hospital. The epidemiological and clinical characteristics were compared between COVID-19 patients . And compared the relationship between viral load and clinical characteristics, epidemiology, laboratory examination and prognosis.

Findings: All of those 81 patients diagnosed as COVID-19, according to the detection of viral nucleic acid load, the viral load of the patients was divided into three levels: Grade1, Grade 2, and Grade 3. Significant differences were observed in close contact with the patients (p=0·016). Grade1 was 36·4%, Grade 2 was 60·9%, and Grade 3 was 75·0%. Remarkably, we found that among the patients with nucleic acid conversion to negative, 13 cases were improved (65·0%), and 5 cases (19·2%) without significant improvement, no patient were worse than before. And the deterioration of the patients all from the COVID-19 patients whose nucleic acid detection didn’t turn to negative.

Interpretation: Patients with a history of close contact with a confirmed patient have a high viral load. We found that the prognosis of patients with nucleic acid turning negative is better, and patients who have deteriorated are from patients who have not become negative.

Funding Statement: This study was supported by the National Natural Science Foundation of China [Grants 81974456]; the Clinical Research Physician Program of Tongji Medical College; the Huazhong University of Science and Technology [Grant 5001540075].

Declaration of Interests: All authors declare no competing interests.

Ethics Approval Statement: The study was approved by the Human Assurance Committee (HAC) of Jingzhou Central Hospital, and a written informed consent was obtained from each participant.

Keywords: viral load; COVID-19; epidemiology; prognosis

Suggested Citation

Zhang, Fengqin and He, Li and Ouyang, Yaoling and Gong, Jianhua and Li, Xinying and Wei, Yanqiu and Chu, Jiaojiao and Yue, Huihui and Yu, Lili and Li, Tao and Cai, Yimin and Lu, Zequn and Ma, Jingping and Zhao, Jianping and Miao, Xiaoping and Liu, Li and Zhang, Hui-Lan, Clinical Features of 81 Hospitalized Patients with 2019 Novel Coronavirus-Infected Pneumonia in Jingzhou, China: A Descriptive Study (February 21, 2020). Available at SSRN: https://ssrn.com/abstract=3544834 or http://dx.doi.org/10.2139/ssrn.3544834

Fengqin Zhang

Huazhong University of Science and Technology - Department of Respiratory and Critical Care Medicine

Wuhan
China

Li He

Huazhong University of Science and Technology - Department of Respiratory Medicine

China

Yaoling Ouyang

Jingzhou Central Hospital - Department Of Laboratory Medicine

China

Jianhua Gong

Huazhong University of Science and Technology - Department of Respiratory Medicine

China

Xinying Li

Huazhong University of Science and Technology - Department of Epidemiology and Biostatistics

China

Yanqiu Wei

Huazhong University of Science and Technology - Department of Respiratory and Critical Care Medicine

Wuhan
China

Jiaojiao Chu

Huazhong University of Science and Technology - Department of Respiratory and Critical Care Medicine

Wuhan
China

Huihui Yue

Huazhong University of Science and Technology - Department of Respiratory and Critical Care Medicine

Wuhan
China

Lili Yu

Huazhong University of Science and Technology - Department of Respiratory Medicine

China

Tao Li

Jingzhou Central Hospital - Department Of Laboratory Medicine

China

Yimin Cai

Huazhong University of Science and Technology - Department of Epidemiology and Biostatistics

China

Zequn Lu

Huazhong University of Science and Technology - Department of Epidemiology and Biostatistics

China

Jingping Ma

Yangtze University - Department of Respiratory and Critical Medicine ( email )

China

Jianping Zhao

Huazhong University of Science and Technology - Department of Respiratory and Critical Care Medicine ( email )

Wuhan
China

Xiaoping Miao

Huazhong University of Science and Technology - Department of Epidemiology and Biostatistics ( email )

China

Li Liu

Huazhong University of Science and Technology - Department of Epidemiology and Biostatistics ( email )

China

Hui-Lan Zhang (Contact Author)

Huazhong University of Science and Technology - Department of Respiratory and Critical Care Medicine ( email )

Wuhan
China