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>Sensitivity and specificity (a) and negative and positive predictive value (b) in the validation cohort. <i>Y</i>-axis represents proportions; <i>X</i>-axis represents the prognostic index.</div>

Interdisciplinary Perspectives on Infectious Diseases

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Figure 3: 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 3 | 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 