Article

A proteomic survival predictor for COVID-19 patients in intensive care

2021-06-26

Abstract excerpt

Global healthcare systems are challenged by the COVID-19 pandemic. There is a need to optimize allocation of treatment and resources in intensive care, as clinically established risk assessments such as SOFA and APACHE II scores show only limited performance for predicting the survival of severely ill COVID-19 patients. Comprehensively capturing the host physiology, we speculated that proteomics in combination wit...

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Literature Corpus work: 1384f2bf-b1db-5d40-9972-4375d2c4b017
DOI: 10.1101/2021.06.24.21259374

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