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Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study.
Lancet. 2020 02 15; 395(10223):507-513.Lct

Abstract

BACKGROUND

In December, 2019, a pneumonia associated with the 2019 novel coronavirus (2019-nCoV) emerged in Wuhan, China. We aimed to further clarify the epidemiological and clinical characteristics of 2019-nCoV pneumonia.

METHODS

In this retrospective, single-centre study, we included all confirmed cases of 2019-nCoV in Wuhan Jinyintan Hospital from Jan 1 to Jan 20, 2020. Cases were confirmed by real-time RT-PCR and were analysed for epidemiological, demographic, clinical, and radiological features and laboratory data. Outcomes were followed up until Jan 25, 2020.

FINDINGS

Of the 99 patients with 2019-nCoV pneumonia, 49 (49%) had a history of exposure to the Huanan seafood market. The average age of the patients was 55·5 years (SD 13·1), including 67 men and 32 women. 2019-nCoV was detected in all patients by real-time RT-PCR. 50 (51%) patients had chronic diseases. Patients had clinical manifestations of fever (82 [83%] patients), cough (81 [82%] patients), shortness of breath (31 [31%] patients), muscle ache (11 [11%] patients), confusion (nine [9%] patients), headache (eight [8%] patients), sore throat (five [5%] patients), rhinorrhoea (four [4%] patients), chest pain (two [2%] patients), diarrhoea (two [2%] patients), and nausea and vomiting (one [1%] patient). According to imaging examination, 74 (75%) patients showed bilateral pneumonia, 14 (14%) patients showed multiple mottling and ground-glass opacity, and one (1%) patient had pneumothorax. 17 (17%) patients developed acute respiratory distress syndrome and, among them, 11 (11%) patients worsened in a short period of time and died of multiple organ failure.

INTERPRETATION

The 2019-nCoV infection was of clustering onset, is more likely to affect older males with comorbidities, and can result in severe and even fatal respiratory diseases such as acute respiratory distress syndrome. In general, characteristics of patients who died were in line with the MuLBSTA score, an early warning model for predicting mortality in viral pneumonia. Further investigation is needed to explore the applicability of the MuLBSTA score in predicting the risk of mortality in 2019-nCoV infection.

FUNDING

National Key R&D Program of China.

Authors+Show Affiliations

Tuberculosis and Respiratory Department, Wuhan Jinyintan Hospital, Wuhan, China.Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Institute of Respiratory Diseases, Shanghai Jiaotong University School of Medicine, Shanghai, China.Tuberculosis and Respiratory Department, Wuhan Jinyintan Hospital, Wuhan, China.Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Institute of Respiratory Diseases, Shanghai Jiaotong University School of Medicine, Shanghai, China.Infection Disease Department, Wuhan Jinyintan Hospital, Wuhan, China.Science and Education Department, Wuhan Jinyintan Hospital, Wuhan, China; State Key Laboratory of Virology, Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan, China.State Key Laboratory of Virology, Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan, China.Infection Disease Department, Wuhan Jinyintan Hospital, Wuhan, China.The Office of Drug Clinical Trial Institution, Wuhan Jinyintan Hospital, Wuhan, China.Tuberculosis and Respiratory Department, Wuhan Jinyintan Hospital, Wuhan, China.Tuberculosis and Respiratory Department, Wuhan Jinyintan Hospital, Wuhan, China.Tuberculosis and Respiratory Department, Wuhan Jinyintan Hospital, Wuhan, China.Research Laboratory of Clinical Virology, Ruijin Hospital and Ruijin Hospital North, Shanghai Jiaotong University School of Medicine, Shanghai, China; Clinical Research Center, Ruijin Hospital North, Shanghai Jiaotong University School of Medicine, Shanghai, China. Electronic address: zhangx@shsmu.edu.cn.Tuberculosis and Respiratory Department, Wuhan Jinyintan Hospital, Wuhan, China. Electronic address: zhangli080806@163.com.

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

32007143

Citation

Chen, Nanshan, et al. "Epidemiological and Clinical Characteristics of 99 Cases of 2019 Novel Coronavirus Pneumonia in Wuhan, China: a Descriptive Study." Lancet (London, England), vol. 395, no. 10223, 2020, pp. 507-513.
Chen N, Zhou M, Dong X, et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet. 2020;395(10223):507-513.
Chen, N., Zhou, M., Dong, X., Qu, J., Gong, F., Han, Y., Qiu, Y., Wang, J., Liu, Y., Wei, Y., Xia, J., Yu, T., Zhang, X., & Zhang, L. (2020). Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet (London, England), 395(10223), 507-513. https://doi.org/10.1016/S0140-6736(20)30211-7
Chen N, et al. Epidemiological and Clinical Characteristics of 99 Cases of 2019 Novel Coronavirus Pneumonia in Wuhan, China: a Descriptive Study. Lancet. 2020 02 15;395(10223):507-513. PubMed PMID: 32007143.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. AU - Chen,Nanshan, AU - Zhou,Min, AU - Dong,Xuan, AU - Qu,Jieming, AU - Gong,Fengyun, AU - Han,Yang, AU - Qiu,Yang, AU - Wang,Jingli, AU - Liu,Ying, AU - Wei,Yuan, AU - Xia,Jia'an, AU - Yu,Ting, AU - Zhang,Xinxin, AU - Zhang,Li, Y1 - 2020/01/30/ PY - 2020/01/21/received PY - 2020/01/25/revised PY - 2020/01/26/accepted PY - 2020/2/3/pubmed PY - 2020/3/14/medline PY - 2020/2/3/entrez SP - 507 EP - 513 JF - Lancet (London, England) JO - Lancet VL - 395 IS - 10223 N2 - BACKGROUND: In December, 2019, a pneumonia associated with the 2019 novel coronavirus (2019-nCoV) emerged in Wuhan, China. We aimed to further clarify the epidemiological and clinical characteristics of 2019-nCoV pneumonia. METHODS: In this retrospective, single-centre study, we included all confirmed cases of 2019-nCoV in Wuhan Jinyintan Hospital from Jan 1 to Jan 20, 2020. Cases were confirmed by real-time RT-PCR and were analysed for epidemiological, demographic, clinical, and radiological features and laboratory data. Outcomes were followed up until Jan 25, 2020. FINDINGS: Of the 99 patients with 2019-nCoV pneumonia, 49 (49%) had a history of exposure to the Huanan seafood market. The average age of the patients was 55·5 years (SD 13·1), including 67 men and 32 women. 2019-nCoV was detected in all patients by real-time RT-PCR. 50 (51%) patients had chronic diseases. Patients had clinical manifestations of fever (82 [83%] patients), cough (81 [82%] patients), shortness of breath (31 [31%] patients), muscle ache (11 [11%] patients), confusion (nine [9%] patients), headache (eight [8%] patients), sore throat (five [5%] patients), rhinorrhoea (four [4%] patients), chest pain (two [2%] patients), diarrhoea (two [2%] patients), and nausea and vomiting (one [1%] patient). According to imaging examination, 74 (75%) patients showed bilateral pneumonia, 14 (14%) patients showed multiple mottling and ground-glass opacity, and one (1%) patient had pneumothorax. 17 (17%) patients developed acute respiratory distress syndrome and, among them, 11 (11%) patients worsened in a short period of time and died of multiple organ failure. INTERPRETATION: The 2019-nCoV infection was of clustering onset, is more likely to affect older males with comorbidities, and can result in severe and even fatal respiratory diseases such as acute respiratory distress syndrome. In general, characteristics of patients who died were in line with the MuLBSTA score, an early warning model for predicting mortality in viral pneumonia. Further investigation is needed to explore the applicability of the MuLBSTA score in predicting the risk of mortality in 2019-nCoV infection. FUNDING: National Key R&D Program of China. SN - 1474-547X UR - https://www.unboundmedicine.com/medline/citation/32007143/full_citation L2 - https://linkinghub.elsevier.com/retrieve/pii/S0140-6736(20)30211-7 DB - PRIME DP - Unbound Medicine ER -