Selected article for: "case fatality and high risk"
Author: Amitava Banerjee; Laura Pasea; Steve Harris; Arturo Gonzalez-Izquierdo; Ana Torralbo; Laura Shallcross; Mahdad Noursadeghi; Deenan Pillay; Christina Pagel; Wai Keong Wong; Claudia Langenberg; Bryan Williams; Spiros Denaxas; Harry Hemingway
Title: 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
  • Document date: 2020_3_24
    • ID: 11hi1jel_5
    Snippet: However, current models of the population mortality impact of COVID-19 are based on agestratified death rates over days in patients infected with COVID-19 and have not incorporated clinical information from NHS health records regarding prevalence of underlying conditions, their differing background (pre-COVID-19) long term mortality risks, or the impact of differing levels of additional risk associated with COVID-19 (2) . There have been limited .....
    Document: However, current models of the population mortality impact of COVID-19 are based on agestratified death rates over days in patients infected with COVID-19 and have not incorporated clinical information from NHS health records regarding prevalence of underlying conditions, their differing background (pre-COVID-19) long term mortality risks, or the impact of differing levels of additional risk associated with COVID-19 (2) . There have been limited reports so far of the excess deaths beyond those expected in specific high-risk populations (3, 4) . The majority of COVID-19 deaths reported so far have occurred in patients with underlying health conditions or at older ages (5-7); this situation is changing (SH personal communication) with severe infections being treated in younger COVID-19 patients without underlying conditions. Case fatality rates(CFR) for COVID-19 vary from 0.27% to 10% according to a metaanalysis(8), possibly explained by differing demography, testing strategies and prevalence of underlying conditions. However, population estimates are lacking, since cases need to be tested and most cases go untested. Moreover, since testing is more common in hospital patients, included individuals are sicker.

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