Development and Validation of the RCOS Prognostic Index: A Bedside Multivariable Logistic Regression Model to Predict Hypoxaemia or Death in Patients with SARS-CoV-2 Infection

<div>Discrimination (a), calibration (b), distribution of cases (c), and predicted probability of death or hypoxaemia (lower panel line) of the predictive model in the validation cohort.</div>

Interdisciplinary Perspectives on Infectious Diseases

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Figure 2: Development and Validation of the RCOS Prognostic Index: A Bedside Multivariable Logistic Regression Model to Predict Hypoxaemia or Death in Patients with SARS-CoV-2 Infection 

Figure 2 | Development and Validation of the RCOS Prognostic Index: A Bedside Multivariable Logistic Regression Model to Predict Hypoxaemia or Death in Patients with SARS-CoV-2 Infection 