Med
Volume 2, Issue 4, 9 April 2021, Pages 435-447.e4
Clinical and Translational ArticleDevelopment and validation of a risk score using complete blood count to predict in-hospital mortality in COVID-19 patients
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Context and significance
Researchers from Wuhan, China developed a complete blood count-based risk score (PAWNN score) that can predict mortality during the entire course of hospitalization in a large cohort with 13,138 COVID-19 patients. This risk score was validated in two independent cohorts from China and Italy and in a longitudinal model. The model can serve as a valuable tool for physicians with very limited medical resources to properly monitor and stratify COVID-19 patients and to reduce mortality.
Graphical abstract
CAT scale
Translation to Patients
Keywords
COVID-19
risk score
mortality
complete blood count
prediction model
latent markov model
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