STM Article Repository

Jianshe, Yang and Li, Kang (2023) 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. B P International, pp. 250-252. ISBN 978-81-19039-65-4

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Abstract

Few models can perfectly predict coming events. Even having encountered the disastrous pandemic of SARS-COV-2, and the complex disease COVID-19 it initiated. Antiviral drugs and vaccines available now have very limited effects, and the novel strategies on the way have uncertain results. In addition, COVID-19 has greatly changed our views, from formerly being a predominantly pulmonary disease to a systematic syndrome affecting many organs. Furthermore, many more factors are tightly correlated with COVID-19, such as age, comorbidities, psychic situation, public healthy polices, even the politic aspects. Management and prevention partially under the guidance of a pragmatic risk stratification tool to predict mortality in patients admitted to hospital with COVID-19 become more and more important.

Item Type: Book
Subjects: GO for ARCHIVE > Medical Science
Depositing User: Unnamed user with email support@goforarchive.com
Date Deposited: 02 Oct 2023 09:23
Last Modified: 02 Oct 2023 09:23
URI: http://eprints.go4mailburst.com/id/eprint/1235

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