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Validation of the SACOV-19 score for identifying patients at risk of complicated or more severe COVID-19: a
Ujjwal Mukund Mahajan1,2, Johanna Erber3, Parichehr Shamsrizi4,5
1Department of Medicine II, Medizinische Klinik und Poliklinik II, Hospital of the LMU Munich, LMU Klinikum, Campus Großhadern, Marchioninistr. 15, 81377, Munich, Germany.
Purpose:
Identification of patients at risk of complicated or more severe COVID-19 is of pivotal importance, since these patients might require monitoring, antiviral treatment, and hospitalization. In this study, we prospectively evaluated the SACOV-19 score for its ability to predict complicated or more severe COVID-19.
Methods:
In this prospective multicenter study, we included 124 adult patients with acute COVID-19 in three German hospitals, who were diagnosed in an early, uncomplicated stage of COVID-19 within 72 h of inclusion. We determined the SACOV-19 score at baseline and performed a follow-up at 30 days.
Results:
The SACOV-19 score's AUC was 0.816. At a cutoff of > 3, it predicted deterioration to complicated or more severe COVID-19 with a sensitivity of 94% and a specificity of 55%. It performed significantly better in predicting complicated COVID-19 than the random tree-based SACOV-19 predictive model, the CURB-65, 4C mortality, or qCSI scores.
Conclusion:
The SACOV-19 score is a feasible tool to aid decision making in acute COVID-19.
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