A predictive model to estimate survival of hospitalized COVID-19 patients from admission data
TJ Levy, S Richardson, K Coppa, DP Barnaby… - 2020 - europepmc.org
2020•europepmc.org
Objective Our primary objective was to use initial data available to clinicians to characterize
and predict survival for hospitalized coronavirus disease 2019 (COVID-19) patients. While
clinical characteristics and mortality risk factors of COVID-19 patients have been reported, a
practical survival calculator based on data from a diverse group of US patients has not yet
been introduced. Such a tool would provide timely and valuable guidance in decision-
making during this global pandemic. Design We extracted demographic, laboratory, clinical …
and predict survival for hospitalized coronavirus disease 2019 (COVID-19) patients. While
clinical characteristics and mortality risk factors of COVID-19 patients have been reported, a
practical survival calculator based on data from a diverse group of US patients has not yet
been introduced. Such a tool would provide timely and valuable guidance in decision-
making during this global pandemic. Design We extracted demographic, laboratory, clinical …
Objective
Our primary objective was to use initial data available to clinicians to characterize and predict survival for hospitalized coronavirus disease 2019 (COVID-19) patients. While clinical characteristics and mortality risk factors of COVID-19 patients have been reported, a practical survival calculator based on data from a diverse group of US patients has not yet been introduced. Such a tool would provide timely and valuable guidance in decision-making during this global pandemic.
Design
We extracted demographic, laboratory, clinical, and treatment data from electronic health records and used it to build and test the predictive accuracy of a survival probability calculator referred to as “the Northwell COVID-19 Survival (‘NOCOS’) calculator.”
Setting
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