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《LANCET，5月12日，Estimating excess 1-year mortality associated with the COVID-19 pandemic according to underlying conditions and age: a population-based cohort study》

  • 来源专题：COVID-19科研动态监测
  • 编译者： zhangmin
  • 发布时间：2020-05-13

  • Estimating excess 1-year mortality associated with the COVID-19 pandemic according to underlying conditions and age: a population-based cohort study

    Amitava Banerjee, DPhil

    Laura Pasea, PhD

    Steve Harris, PhD

    Arturo Gonzalez-Izquierdo, PhD

    Ana Torralbo, PhD

    Laura Shallcross, PhD

    et al.

    Show all authors

    Open AccessPublished:May 12, 2020DOI:https://doi.org/10.1016/S0140-6736(20)30854-0

    Summary

    Background

    The medical, societal, and economic impact of the coronavirus disease 2019 (COVID-19) pandemic has unknown effects on overall population mortality. Previous models of population mortality are based on death over days among infected people, nearly all of whom thus far have underlying conditions. Models have not incorporated information on high-risk conditions or their longer-term baseline (pre-COVID-19) mortality. We estimated the excess number of deaths over 1 year under different COVID-19 incidence scenarios based on varying levels of transmission suppression and differing mortality impacts based on different relative risks for the disease.

  • 原文来源：https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(20)30854-0/fulltext
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  • 《MedRxiv，3月24日，Estimating excess 1- year mortality from COVID-19 according to underlying conditions and age in England: a rapid analysis using NHS health records in 3.8 million adults》
    • 来源专题：COVID-19科研动态监测
    • 编译者：zhangmin
    • 发布时间：2020-03-25
    • Estimating excess 1- year mortality from COVID-19 according to underlying conditions and age in England: a rapid analysis using NHS health records in 3.8 million adults Amitava Banerjee, Laura Pasea, Steve Harris, Arturo Gonzalez-Izquierdo, Ana Torralbo, View ORCID ProfileLaura Shallcross, Mahdad Noursadeghi, Deenan Pillay, Christina Pagel, Wai Keong Wong, Claudia Langenberg, Bryan Williams, Spiros Denaxas, Harry Hemingway doi: https://doi.org/10.1101/2020.03.22.20040287 Abstract RAPID COMMUNICATION 22 March 2020 Estimating excess 1- year mortality from COVID-19 according to underlying conditions and age in England: a rapid analysis using NHS health records in 3.8 million adults Background: The medical, health service, societal and economic impact of the COVID-19 emergency has unknown effects on overall population mortality. Previous models of population mortality are based on death over days among infected people, nearly all of whom (to date at least) have underlying conditions. Models have not incorporated information on high risk conditions or their longer term background (pre-COVID-19) mortality. We estimated the excess number of deaths over 1 year under different COVID-19 incidence rates and differing mortality impacts. Methods: Using population based linked primary and secondary care electronic health records in England (HDR UK - CALIBER), we report the prevalence of underlying conditions defined by UK Public Health England COVID-19 guidelines (16 March 2020) in 3,862,012 individuals aged ≥30 years from 1997-2017. *注，本文为预印本论文手稿，是未经同行评审的初步报告，其观点仅供科研同行交流，并不是结论性内容，请使用者谨慎使用.
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  • 《Lancet，5月27日，Out-of-hospital cardiac arrest during the COVID-19 pandemic in Paris, France: a population-based, observational study》
    • 来源专题：COVID-19科研动态监测
    • 编译者：zhangmin
    • 发布时间：2020-05-28
    • Out-of-hospital cardiac arrest during the COVID-19 pandemic in Paris, France: a population-based, observational study Prof Eloi Marijon, MD † Nicole Karam, MD † Daniel Jost, MD David Perrot, MD Benoit Frattini, MD Clément Derkenne, MD et al. Show all authors Show footnotes Open AccessPublished:May 27, 2020DOI:https://doi.org/10.1016/S2468-2667(20)30117-1 Summary Background Although mortality due to COVID-19 is, for the most part, robustly tracked, its indirect effect at the population level through lockdown, lifestyle changes, and reorganisation of health-care systems has not been evaluated. We aimed to assess the incidence and outcomes of out-of-hospital cardiac arrest (OHCA) in an urban region during the pandemic, compared with non-pandemic periods. Methods We did a population-based, observational study using data for non-traumatic OHCA (N=30?768), systematically collected since May 15, 2011, in Paris and its suburbs, France, using the Paris Fire Brigade database, together with in-hospital data. We evaluated OHCA incidence and outcomes over a 6-week period during the pandemic in adult inhabitants of the study area.
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