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Epidemiological, comorbidity factors with severity and prognosis of COVID-19: a systematic review and meta-analysis.
Fang, Xiaoyu; Li, Shen; Yu, Hao; Wang, Penghao; Zhang, Yao; Chen, Zheng; Li, Yang; Cheng, Liqing; Li, Wenbin; Jia, Hong; Ma, Xiangyu.
  • Fang X; College of Public Health, Southwest Medical University, Luzhou, Sichuan Province, China.
  • Li S; Department of Epidemiology, College of Preventive Medicine, Third Military Medical University, Chongqing, China.
  • Yu H; The Second Clinical College, Chongqing Medical University, Chongqing, China.
  • Wang P; Department of Endocrinology, Northern Theater Command General Hospital, Shenyang, China.
  • Zhang Y; The Second Clinical College, Chongqing Medical University, Chongqing, China.
  • Chen Z; Department of Epidemiology, College of Preventive Medicine, Third Military Medical University, Chongqing, China.
  • Li Y; Department of Epidemiology, College of Preventive Medicine, Third Military Medical University, Chongqing, China.
  • Cheng L; NCO School of Army Medical University, Shijiazhuang, China.
  • Li W; Department of Endocrinology and Metabolism, Southwest Hospital, Third Military Medical University, Chongqing, China.
  • Jia H; Outpatient Clinic of Dali Retreat Center for Former Cadres of Yunnan Military Region, Dali, China.
  • Ma X; College of Public Health, Southwest Medical University, Luzhou, Sichuan Province, China.
Aging (Albany NY) ; 12(13): 12493-12503, 2020 07 13.
Article in English | MEDLINE | ID: covidwho-642633
ABSTRACT
A systematic review and meta-analysis was conducted in an attempt to systematically collect and evaluate the associations of epidemiological, comorbidity factors with the severity and prognosis of coronavirus disease 2019 (COVID-19). The systematic review and meta-analysis was conducted according to the guidelines proposed by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Sixty nine publications met our study criteria, and 61 studies with more than 10,000 COVID-19 cases were eligible for the quantitative synthesis. We found that the males had significantly higher disease severity (RR 1.20, 95% CI 1.13-1.27, P <0.001) and more prognostic endpoints. Older age was found to be significantly associated with the disease severity and six prognostic endpoints. Chronic kidney disease contributed mostly for death (RR 7.10, 95% CI 3.14-16.02), chronic obstructive pulmonary disease (COPD) for disease severity (RR 4.20, 95% CI 2.82-6.25), admission to intensive care unit (ICU) (RR 5.61, 95% CI 2.68-11.76), the composite endpoint (RR 8.52, 95% CI 4.36-16.65,), invasive ventilation (RR 6.53, 95% CI 2.70-15.84), and disease progression (RR 7.48, 95% CI 1.60-35.05), cerebrovascular disease for acute respiratory distress syndrome (ARDS) (RR 3.15, 95% CI 1.23-8.04), coronary heart disease for cardiac abnormality (RR 5.37, 95% CI 1.74-16.54). Our study highlighted that the male gender, older age and comorbidities owned strong epidemiological evidence of associations with the severity and prognosis of COVID-19.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections Type of study: Experimental Studies / Observational study / Prognostic study / Reviews / Systematic review/Meta Analysis Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: English Journal: Aging (Albany NY) Journal subject: Geriatrics Year: 2020 Document Type: Article Affiliation country: Aging.103579

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections Type of study: Experimental Studies / Observational study / Prognostic study / Reviews / Systematic review/Meta Analysis Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: English Journal: Aging (Albany NY) Journal subject: Geriatrics Year: 2020 Document Type: Article Affiliation country: Aging.103579