• Javier Lopez-Pais, OteroDiego LópezDLCardiology Department, University Clinical Hospital of Santiago de Compostela, Santiago de Compostela, Spain.CIBERCV, Spain., Teba Gonzalez Ferreiro, AntonioCarla Eugenia CachoCECCardiology Department, University Clinical Hospital of Santiago de Compostela, Santiago de Compostela, Spain., Pablo José Antúnez Muiños, Marta Perez-Poza, Óscar Otero García, Victor Jimenez Ramos, Manuela Sestayo Fernández, María Bastos Fernandez, Xoan Carlos Sanmartin Pena, Alfonso Varela Roman, RomeroManuel PortelaMPPrimary Healthcare, Centro de Salud Concepción Arenal, Santiago de Compostela, Spain., Ana López Lago, EscuderoJulián ÁlvarezJÁAnaesthesia Department, University Clinical Hospital of Santiago de Compostela, Santiago de Compostela, Spain., RománAlberto SanASCardiology Department, University Clinical Hospital of Valladolid, Valladolid, Spain., Jose Ramón Gonzalez-Juanatey, and CARDIOVID investigators.
• Cardiology Department, University Clinical Hospital of Santiago de Compostela, Santiago de Compostela, Spain.
• Prev Med Rep. 2021 Mar 1; 21: 101298.

BackgroundHealthcare systems are under prominent stress due to the COVID-19 pandemic. A fast and simple triage is mandatory to screen patients who will benefit from early hospitalization, from those that can be managed as outpatients. There is a lack of all-comers scores, and no score has been proposed for western-world population.AimsTo develop a fast-track risk score valid for every COVID-19 patient at diagnosis.MethodsSingle-center, retrospective study based on all the inhabitants of a healthcare area. Logistic regression was used to identify simple and wide-available risk factors for adverse events (death, intensive care admission, invasive mechanical ventilation, bleeding > BARC3, acute renal injury, respiratory insufficiency, myocardial infarction, acute heart failure, pulmonary emboli, or stroke).ResultsOf the total healthcare area population, 447.979 inhabitants, 965 patients (0.22%), were diagnosed with COVID-19. A total of 124 patients (12.85%) experienced adverse events. The novel SODA score (based on sex, peripheral O2 saturation, presence of diabetes, and age) demonstrated good accuracy for adverse events prediction (area under ROC curve 0.858, CI: 0.82-0.98). A cut-off value of ≤2 points identifies patients with low risk (positive predictive value [PPV] for absence of events: 98.9%) and a cut-off of ≥5 points, high-risk patients (PPV 58.8% for adverse events).ConclusionsThis quick and easy score allows fast-track triage at the moment of diagnosis for COVID-19 using four simple variables: age, sex, SpO2, and diabetes. SODA score could improve preventive measures taken at diagnosis in high-risk patients and also relieve resources by identifying very low-risk patients.© 2020 The Authors.

10 keywords...

hide…