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>Decision curves. Net benefit (a) and number of interventions avoided (b) in the validation cohort. <i>Y</i>-axis represents the threshold probability of hypoxaemia or death given by the prognostic index score, which is mentioned below between brackets.</div>

Interdisciplinary Perspectives on Infectious Diseases

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Figure 4: 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 4 | 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 