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The differential demographic pattern of coronavirus disease 2019 fatality outside Hubei and from six hospitals in Hubei, China: a descriptive analysis

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单位: [1]Peking Univ, Sch Publ Hlth, Dept Lab Sci & Technol, Beijing 100191, Peoples R China [2]Beijing Inst Microbiol & Epidemiol, State Key Lab Pathogen & Biosecur, Beijing 100071, Peoples R China [3]Beijing Normal Univ, Sch Math Sci, Beijing 100875, Peoples R China [4]Huazhong Univ Sci & Technol, Tongji Med Coll, Dept Thorac & Vasc Surg, Wuhan 1 Hosp, Wuhan 430022, Peoples R China [5]Wuhan Univ, Sch Hlth Sci, Dept Healthcare Management, Wuhan 430071, Peoples R China [6]Wuhan Univ, Global Hlth Inst, Wuhan 430072, Peoples R China [7]Wuhan Univ, Dept Thorac Surg, Renmin Hosp, Wuhan 430060, Peoples R China [8]Huazhong Univ Sci & Technol, Tongji Hosp, Tongji Med Coll, Dept Lab Med, Wuhan 430030, Peoples R China [9]Wuhan Univ Sci & Technol, Tianyou Hosp, Wuhan 430064, Peoples R China [10]Wuhan Univ Sci & Technol, Med Coll, Inst Infect Immunol & Tumor Microenvironent Hubei, Hubei Prov Key Lab Occupat Hazard Identificat & C, Wuhan 430065, Peoples R China [11]Univ Sydney, Sydney Sch Vet Sci, Camden, NSW, Australia [12]Univ Ottawa, Fac Med, Dept Epidemiol & Community Med, 451 Smyth Rd, Ottawa, ON, Canada [13]Fudan Univ, Sch Publ Hlth, Dept Epidemiol & Hlth Stat, Shanghai, Peoples R China [14]Univ Florida, Coll Publ Hlth, Dept Biostat, Gainesville, FL 32611 USA [15]Univ Florida, Hlth Profess & Emerging Pathogens Inst, Gainesville, FL 32611 USA
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关键词: COVID-19 Case fatality rate China

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BackgroundThe coronavirus disease 2019 (COVID-19) epidemic has been largely controlled in China, to the point where case fatality rate (CFR) data can be comprehensively evaluated.MethodsData on confirmed patients, with a final outcome reported as of 29 March 2020, were obtained from official websites and other internet sources. The hospitalized CFR (HCFR) was estimated, epidemiological features described, and risk factors for a fatal outcome identified.ResultsThe overall HCFR in China was estimated to be 4.6% (95% CI 4.5-4.8%, P<0.001). It increased with age and was higher in males than females. Although the highest HCFR observed was in male patients <greater than or equal to>70years old, the relative risks for death outcome by sex varied across age groups, and the greatest HCFR risk ratio for males vs. females was shown in the age group of 50-60years, higher than age groups of 60-70 and >= 70years. Differential age/sex HCFR patterns across geographical regions were found: the age effect on HCFR was greater in other provinces outside Hubei than in Wuhan. An effect of longer interval from symptom onset to admission was only observed outside Hubei, not in Wuhan. By performing multivariate analysis and survival analysis, the higher HCFR was associated with older age (both P<0.001), and male sex (both P<0.001). Only in regions outside Hubei, longer interval from symptom onset to admission, were associated with higher HCFR.ConclusionsThis up-to-date and comprehensive picture of COVID-19 HCFR and its drivers will help healthcare givers target limited medical resources to patients with high risk of fatality.

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出版当年[2020]版:
大类 | 3 区 医学
小类 | 4 区 传染病学
最新[2025]版:
大类 | 3 区 医学
小类 | 3 区 传染病学
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出版当年[2019]版:
Q3 INFECTIOUS DISEASES
最新[2023]版:
Q2 INFECTIOUS DISEASES

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第一作者单位: [1]Peking Univ, Sch Publ Hlth, Dept Lab Sci & Technol, Beijing 100191, Peoples R China
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通讯机构: [14]Univ Florida, Coll Publ Hlth, Dept Biostat, Gainesville, FL 32611 USA [15]Univ Florida, Hlth Profess & Emerging Pathogens Inst, Gainesville, FL 32611 USA
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