Early Warning Scores in Patients with Suspected COVID-19 Infection in Emergency Departments

Early warning scores (EWSs) help prevent and recognize and thereby act as the first signs of clinical and physiological deterioration. The objective of this study is to evaluate different EWSs (National Early Warning Score 2 (NEWS2), quick sequential organ failure assessment score (qSOFA), Modified...

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Veröffentlicht in:Journal of personalized medicine 2021-03, Vol.11 (3), p.170
Hauptverfasser: Martín-Rodríguez, Francisco, Martín-Conty, José L, Sanz-García, Ancor, Rodríguez, Virginia Carbajosa, Rabbione, Guillermo Ortega, Cebrían Ruíz, Irene, Oliva Ramos, José R, Castro Portillo, Enrique, Polonio-López, Begoña, Enríquez de Salamanca Gambarra, Rodrigo, Gómez-Escolar Pérez, Marta, López-Izquierdo, Raúl
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Sprache:eng
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Zusammenfassung:Early warning scores (EWSs) help prevent and recognize and thereby act as the first signs of clinical and physiological deterioration. The objective of this study is to evaluate different EWSs (National Early Warning Score 2 (NEWS2), quick sequential organ failure assessment score (qSOFA), Modified Rapid Emergency Medicine Score (MREMS) and Rapid Acute Physiology Score (RAPS)) to predict mortality within the first 48 h in patients suspected to have Coronavirus disease 2019 (COVID-19). We conducted a retrospective observational study in patients over 18 years of age who were treated by the advanced life support units and transferred to the emergency departments between March and July of 2020. Each patient was followed for two days registering their final diagnosis and mortality data. A total of 663 patients were included in our study. Early mortality within the first 48 h affected 53 patients (8.3%). The scale with the best capacity to predict early mortality was the National Early Warning Score 2 (NEWS2), with an area under the curve of 0.825 (95% CI: 0.75-0.89). The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) positive patients presented an area under the curve (AUC) of 0.804 (95% CI: 0.71-0.89), and the negative ones with an AUC of 0.863 (95% CI: 0.76-0.95). Among the EWSs, NEWS2 presented the best predictive power, even when it was separately applied to patients who tested positive and negative for SARS-CoV-2.
ISSN:2075-4426
2075-4426
DOI:10.3390/jpm11030170