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- W3216663177 abstract "As the COVID-19 pandemic emerged the was no validated tool to predict mortality for patients admitted to hospital. As the pandemic progressed the 4C Mortality Score was developed to assess the risk of inpatient death in patients with COVID-19.<sup>1</sup> The aim of this project was to assess the ability of this scoring system to predict in hospital mortality. In addition to this we present our own observations and predictors of mortality. We retrospectively calculated the 4C score for all patients admitted to our hospital from March to July 2020. We then compared this with their clinical outcome either surviving to discharge or death and their length of stay in hospital. There was a positive correlation between 4C score and mortality. This study provides validation of the 4C mortality score for the prediction of in hospital mortality. As a result we now calculate this score for all patients admitted to our hospital with COVID-19 in order to help guide decisions about where in the hospital they should be treated and help inform discussions about appropriate ceilings of care. <sup>1</sup>Knight SR et al. Risk stratification of patients admitted to hospital with COVID-19 using the ISARIC WHO Clinical Characterisation Protocol: development and validation of the 4C Mortality Score. BMJ 2020;370:m3339" @default.
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- W3216663177 date "2021-09-05" @default.
- W3216663177 modified "2023-09-30" @default.
- W3216663177 title "Predicting mortality in patients admitted to hospital with COVID-19 infection: a retrospective analysis of data for a District General Hospital in the United Kingdom" @default.
- W3216663177 doi "https://doi.org/10.1183/13993003.congress-2021.pa3473" @default.
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