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

Jiangshan Lian(State Key Laboratory of Diagnosis and Treatment of Infectious Diseases), Xi Jin(First Affiliated Hospital Zhejiang University), Shaorui Hao(State Key Laboratory of Diagnosis and Treatment of Infectious Diseases), Huan Cai(State Key Laboratory of Diagnosis and Treatment of Infectious Diseases), Shanyan Zhang(State Key Laboratory of Diagnosis and Treatment of Infectious Diseases), Lin Zheng(State Key Laboratory of Diagnosis and Treatment of Infectious Diseases), Hongyu Jia(State Key Laboratory of Diagnosis and Treatment of Infectious Diseases), Jianhua Hu(State Key Laboratory of Diagnosis and Treatment of Infectious Diseases), Jianguo Gao(First Affiliated Hospital Zhejiang University), Yimin Zhang(State Key Laboratory of Diagnosis and Treatment of Infectious Diseases), Xiaoli Zhang(State Key Laboratory of Diagnosis and Treatment of Infectious Diseases), Guodong Yu(State Key Laboratory of Diagnosis and Treatment of Infectious Diseases), Xiaoyan Wang(State Key Laboratory of Diagnosis and Treatment of Infectious Diseases), Jueqing Gu(State Key Laboratory of Diagnosis and Treatment of Infectious Diseases), Chanyuan Ye(State Key Laboratory of Diagnosis and Treatment of Infectious Diseases), Ciliang Jin(State Key Laboratory of Diagnosis and Treatment of Infectious Diseases), Yingfeng Lu(State Key Laboratory of Diagnosis and Treatment of Infectious Diseases), Yu Xia(State Key Laboratory of Diagnosis and Treatment of Infectious Diseases), Xiaopeng Yu(State Key Laboratory of Diagnosis and Treatment of Infectious Diseases), Yue Ren(First Affiliated Hospital Zhejiang University), Yunqing Qiu(State Key Laboratory of Diagnosis and Treatment of Infectious Diseases), Lanjuan Li(State Key Laboratory of Diagnosis and Treatment of Infectious Diseases), Jifang Sheng(State Key Laboratory of Diagnosis and Treatment of Infectious Diseases), Yida Yang(State Key Laboratory of Diagnosis and Treatment of Infectious Diseases)
Clinical Infectious Diseases
March 6, 2020
Cited by 370Open Access
Full Text

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.


Related Papers

No related papers found

Powered by citation graph analysis