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Analysis of Epidemiological and Clinical Features in Older Patients With Coronavirus Disease 2019 (COVID-19) Outside Wuhan

Clinical Infectious Diseases, 2020-07, Vol.71 (15), p.740-747 [Peer Reviewed Journal]

The Author(s) 2020. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: journals.permissions@oup.com. 2020 ;The Author(s) 2020. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: journals.permissions@oup.com. ;2020. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the associated terms available at https://academic.oup.com/journals/pages/coronavirus . ;ISSN: 1058-4838 ;EISSN: 1537-6591 ;DOI: 10.1093/cid/ciaa242 ;PMID: 32211844

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  • Title:
    Analysis of Epidemiological and Clinical Features in Older Patients With Coronavirus Disease 2019 (COVID-19) Outside Wuhan
  • Author: Lian, Jiangshan ; Jin, Xi ; Hao, Shaorui ; Cai, Huan ; Zhang, Shanyan ; Zheng, Lin ; Jia, Hongyu ; Hu, Jianhua ; Gao, Jianguo ; Zhang, Yimin ; Zhang, Xiaoli ; Yu, Guodong ; Wang, Xiaoyan ; Gu, Jueqing ; Ye, Chanyuan ; Jin, Ciliang ; Lu, Yingfeng ; Yu, Xia ; Yu, Xiaopeng ; Ren, Yue ; Qiu, Yunqing ; Li, Lanjuan ; Sheng, Jifang ; Yang, Yida
  • Subjects: Adult ; Aged ; Betacoronavirus - pathogenicity ; China - epidemiology ; Coronavirus Infections - epidemiology ; COVID-19 ; Disease Outbreaks ; Female ; Hospitalization ; Humans ; Intensive Care Units ; Male ; Pandemics ; Pneumonia, Viral - epidemiology ; Retrospective Studies ; SARS-CoV-2
  • Is Part Of: Clinical Infectious Diseases, 2020-07, Vol.71 (15), p.740-747
  • Description: Abstract Background The outbreak of coronavirus disease 2019 (COVID-19) has become a large threat to public health in China, with high contagious capacity and varied mortality. This study aimed to investigate the epidemiological and clinical characteristics of older patients with COVID-19 outside Wuhan. Methods A retrospective study was performed, with collecting data from medical records of confirmed COVID-19 patients in Zhejiang province from 17 January to 12 February 2020. Epidemiological, clinical, and treatment data were analyzed between older (≥ 60 years) and younger (< 60 years) patients. Results A total of 788 patients with confirmed COVID-19 were selected; 136 were older patients with corresponding mean age of 68.28 ± 7.31 years. There was a significantly higher frequency of women in older patient group compared with younger patients (57.35% vs 46.47%, P = .021). The presence of coexisting medical conditions was significantly higher in older patients compared with younger patients (55.15% vs 21.93%, P < .001), including the rate of hypertension, diabetes, heart disease, and chronic obstructive pulmonary disease. Significantly higher rates of severe clinical type (older vs younger groups: 16.18% vs 5.98%, P < .001), critical clinical type (8.82% vs 0.77%, P < .001), shortness of breath (12.50% vs 3.07%, P < .001), and temperature of > 39.0°C (13.97% vs 7.21%, P = .010) were observed in older patients compared with younger patients. Finally, higher rates of intensive care unit admission (9.56% vs 1.38%, P < .001) and methylprednisolone application (28.68% vs 9.36%, P < .001) were also identified in older patients compared with younger ones. Conclusions The specific epidemiological and clinical features of older COVID-19 patients included significantly higher female sex, body temperature, comorbidities, and rate of severe and critical type disease. Older patients with COVID-19 were more likely to be female and had significantly higher rates of high temperature, familial clustering, and common comorbidities; lower levels of hemoglobin and albumin; and higher levels of C-reactive protein, creatine kinase, and lactate dehydrogenase.
  • Publisher: US: Oxford University Press
  • Language: English
  • Identifier: ISSN: 1058-4838
    EISSN: 1537-6591
    DOI: 10.1093/cid/ciaa242
    PMID: 32211844
  • Source: Coronavirus Research Database
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