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  1. Article ; Online: Demographic risk factors for COVID-19 infection, severity, ICU admission and death: a meta-analysis of 59 studies.

    Pijls, Bart G / Jolani, Shahab / Atherley, Anique / Derckx, Raissa T / Dijkstra, Janna I R / Franssen, Gregor H L / Hendriks, Stevie / Richters, Anke / Venemans-Jellema, Annemarie / Zalpuri, Saurabh / Zeegers, Maurice P

    BMJ open

    2021  Volume 11, Issue 1, Page(s) e044640

    Abstract: ... a higher risk for COVID-19 infection, severe disease, ICU admission and death.: Prospero registration ... case-control studies that evaluated differences in age and sex on the risk of COVID-19 infection, disease severity ... in different severity stages ranging from infection to death.: Design: Systematic review and meta-analysis ...

    Abstract Objective: We aimed to describe the associations of age and sex with the risk of COVID-19 in different severity stages ranging from infection to death.
    Design: Systematic review and meta-analysis.
    Data sources: PubMed and Embase through 4 May 2020.
    Study selection: We considered cohort and case-control studies that evaluated differences in age and sex on the risk of COVID-19 infection, disease severity, intensive care unit (ICU) admission and death.
    Data extraction and synthesis: We screened and included studies using standardised electronic data extraction forms and we pooled data from published studies and data acquired by contacting authors using random effects meta-analysis. We assessed the risk of bias using the Newcastle-Ottawa Scale.
    Results: We screened 11.550 titles and included 59 studies comprising 36.470 patients in the analyses. The methodological quality of the included papers was high (8.2 out of 9). Men had a higher risk for infection with COVID-19 than women (relative risk (RR) 1.08, 95% CI 1.03 to 1.12). When infected, they also had a higher risk for severe COVID-19 disease (RR 1.18, 95% CI 1.10 to 1.27), a higher need for intensive care (RR 1.38, 95% CI 1.09 to 1.74) and a higher risk of death (RR 1.50, 95% CI 1.18 to 1.91). The analyses also showed that patients aged 70 years and above have a higher infection risk (RR 1.65, 95% CI 1.50 to 1.81), a higher risk for severe COVID-19 disease (RR 2.05, 95% CI 1.27 to 3.32), a higher need for intensive care (RR 2.70, 95% CI 1.59 to 4.60) and a higher risk of death once infected (RR 3.61, 95% CI 2.70 to 4.84) compared with patients younger than 70 years.
    Conclusions: Meta-analyses on 59 studies comprising 36.470 patients showed that men and patients aged 70 and above have a higher risk for COVID-19 infection, severe disease, ICU admission and death.
    Prospero registration number: CRD42020180085.
    MeSH term(s) Age Factors ; COVID-19/epidemiology ; COVID-19/mortality ; COVID-19/therapy ; Critical Care ; Hospitalization ; Humans ; Pandemics ; Risk Factors ; SARS-CoV-2 ; Severity of Illness Index ; Sex Factors
    Language English
    Publishing date 2021-01-11
    Publishing country England
    Document type Journal Article ; Meta-Analysis ; Systematic Review
    ZDB-ID 2599832-8
    ISSN 2044-6055 ; 2044-6055
    ISSN (online) 2044-6055
    ISSN 2044-6055
    DOI 10.1136/bmjopen-2020-044640
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Demographic risk factors for COVID-19 infection, severity, ICU admission and death

    Maurice P Zeegers / Bart G Pijls / Shahab Jolani / Anique Atherley / Raissa T Derckx / Janna I R Dijkstra / Gregor H L Franssen / Stevie Hendriks / Anke Richters / Annemarie Venemans-Jellema / Saurabh Zalpuri

    BMJ Open, Vol 11, Iss

    a meta-analysis of 59 studies

    2021  Volume 1

    Abstract: ... that evaluated differences in age and sex on the risk of COVID-19 infection, disease severity ... in different severity stages ranging from infection to death.Design Systematic review and meta-analysis ... intensive care unit (ICU) admission and death.Data extraction and synthesis We screened and included studies using ...

    Abstract Objective We aimed to describe the associations of age and sex with the risk of COVID-19 in different severity stages ranging from infection to death.Design Systematic review and meta-analysis.Data sources PubMed and Embase through 4 May 2020.Study selection We considered cohort and case–control studies that evaluated differences in age and sex on the risk of COVID-19 infection, disease severity, intensive care unit (ICU) admission and death.Data extraction and synthesis We screened and included studies using standardised electronic data extraction forms and we pooled data from published studies and data acquired by contacting authors using random effects meta-analysis. We assessed the risk of bias using the Newcastle-Ottawa Scale.Results We screened 11.550 titles and included 59 studies comprising 36.470 patients in the analyses. The methodological quality of the included papers was high (8.2 out of 9). Men had a higher risk for infection with COVID-19 than women (relative risk (RR) 1.08, 95% CI 1.03 to 1.12). When infected, they also had a higher risk for severe COVID-19 disease (RR 1.18, 95% CI 1.10 to 1.27), a higher need for intensive care (RR 1.38, 95% CI 1.09 to 1.74) and a higher risk of death (RR 1.50, 95% CI 1.18 to 1.91). The analyses also showed that patients aged 70 years and above have a higher infection risk (RR 1.65, 95% CI 1.50 to 1.81), a higher risk for severe COVID-19 disease (RR 2.05, 95% CI 1.27 to 3.32), a higher need for intensive care (RR 2.70, 95% CI 1.59 to 4.60) and a higher risk of death once infected (RR 3.61, 95% CI 2.70 to 4.84) compared with patients younger than 70 years.Conclusions Meta-analyses on 59 studies comprising 36.470 patients showed that men and patients aged 70 and above have a higher risk for COVID-19 infection, severe disease, ICU admission and death.PROSPERO registration number CRD42020180085.
    Keywords Medicine ; R
    Subject code 610
    Language English
    Publishing date 2021-01-01T00:00:00Z
    Publisher BMJ Publishing Group
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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