Validation of the SACOV-19 score for identifying patients at risk of complicated or more severe COVID-19: a prospective study

Autor: Ujjwal Mukund Mahajan, Johanna Erber, Parichehr Shamsrizi, Florian Voit, Jakob Vielhauer, Anna-Lena Johlke, Christopher Benesch, Najib Ben Khaled, Felix Reinecke, Wolf-Stephan Rudi, Matthias Klein, Carolin Jakob, Marcus Oswald, Rainer König, Christian Schulz, Julia Mayerle, Hans Christian Stubbe
Rok vydání: 2023
Předmět:
Zdroj: Infection.
ISSN: 1439-0973
0300-8126
Popis: 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.
Databáze: OpenAIRE
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