Article
Circulating proteins to predict adverse COVID-19 outcomes
2021-10-05
Abstract excerpt
Predicting COVID-19 severity is difficult, and the biological pathways involved are not fully understood. To approach this problem, we measured 4,701 circulating human protein abundances in two independent cohorts totaling 986 individuals. We then trained prediction models including protein abundances and clinical risk factors to predict adverse COVID-19 outcomes in 417 subjects and tested these models in a separa...
Topics
Open a Topic to create a Post that cites this publication.
Identifiers and source
- Literature Corpus work
- ea83d3a1-515c-5876-bbde-23318ca9e914
- DOI
- 10.1101/2021.10.04.21264015
