Abstract
Decision letter: Early prediction of level-of-care requirements in patients with COVID-19
Highlights
As a result of the SARS-CoV-2 pandemic, many hospitals across the world have resorted to drastic measures: canceling elective procedures, switching to remote consultations, designating most beds to COVID-19, expanding Intensive Care Unit (ICU) capacity, and re-purposing doctors and nurses to support COVID-19 care
ICU admission and mechanical ventilation were determined for each patient
We report the Area Under the Curve (AUC) of the Receiver Operating Characteristic (ROC) and the Weighted-F1 score, both computed out-of-sample
Summary
As a result of the SARS-CoV-2 pandemic, many hospitals across the world have resorted to drastic measures: canceling elective procedures, switching to remote consultations, designating most beds to COVID-19, expanding Intensive Care Unit (ICU) capacity, and re-purposing doctors and nurses to support COVID-19 care. A string of recent studies developed models to predict severe disease or mortality based on clinical and laboratory findings, for example (Yan et al, 2020) (n = 485), (Gong et al, 2020) (n = 372), (Bhargava et al, 2020) (n = 197), (Ji et al, 2020) (n = 208), and (Wang et al, 2020) (n = 296). In these studies, several variables such as Lactate Dehydrogenase (LDH) (Gong et al, 2020; Ji et al, 2020; Yan et al, 2020) and C-reactive protein (CRP) have been identified as important predictors.
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