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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| Format: | Article |
| Language: | English |
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MDPI AG
2021-03-01
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| Series: | Journal of Personalized Medicine |
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| Online Access: | https://www.mdpi.com/2075-4426/11/3/170 |
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| author | Francisco Martín-Rodríguez José L. Martín-Conty Ancor Sanz-García Virginia Carbajosa Rodríguez Guillermo Ortega Rabbione Irene Cebrían Ruíz José R. Oliva Ramos Enrique Castro Portillo Begoña Polonio-López Rodrigo Enríquez de Salamanca Gambarra Marta Gómez-Escolar Pérez Raúl López-Izquierdo |
| author_facet | Francisco Martín-Rodríguez José L. Martín-Conty Ancor Sanz-García Virginia Carbajosa Rodríguez Guillermo Ortega Rabbione Irene Cebrían Ruíz José R. Oliva Ramos Enrique Castro Portillo Begoña Polonio-López Rodrigo Enríquez de Salamanca Gambarra Marta Gómez-Escolar Pérez Raúl López-Izquierdo |
| author_sort | Francisco Martín-Rodríguez |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T05:57:52Z |
| format | Article |
| id | doaj.art-ff63dcb2a9cb4ffd9b1f4669045e045f |
| institution | Directory Open Access Journal |
| issn | 2075-4426 |
| language | English |
| last_indexed | 2024-03-09T05:57:52Z |
| publishDate | 2021-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Personalized Medicine |
| spelling | doaj.art-ff63dcb2a9cb4ffd9b1f4669045e045f2023-12-03T12:12:09ZengMDPI AGJournal of Personalized Medicine2075-44262021-03-0111317010.3390/jpm11030170Early Warning Scores in Patients with Suspected COVID-19 Infection in Emergency DepartmentsFrancisco Martín-Rodríguez0José L. Martín-Conty1Ancor Sanz-García2Virginia Carbajosa Rodríguez3Guillermo Ortega Rabbione4Irene Cebrían Ruíz5José R. Oliva Ramos6Enrique Castro Portillo7Begoña Polonio-López8Rodrigo Enríquez de Salamanca Gambarra9Marta Gómez-Escolar Pérez10Raúl López-Izquierdo11Advanced Clinical Simulation Centre, Advanced Life Support Unit, Emergency Medical Services, Faculty of Medicine, Universidad de Valladolid, 47005 Valladolid, SpainFaculty of Health Sciences, Universidad de Castilla la Mancha, 45600 Talavera de la Reina, SpainData Analysis Unit, Health Research Institute, Hospital de la Princesa, Madrid (IIS-IP), C/Diego de León, 62, 28006 Madrid, SpainEmergency Department, Hospital Universitario Rio Hortega de Valladolid, Gerencia Regional de Salud de Castilla y León (SACYL), c/Dulzaina, 2, 47012 Valladolid, SpainData Analysis Unit, Health Research Institute, Hospital de la Princesa, Madrid (IIS-IP), C/Diego de León, 62, 28006 Madrid, SpainEmergency Department, Hospital Universitario Rio Hortega de Valladolid, Gerencia Regional de Salud de Castilla y León (SACYL), c/Dulzaina, 2, 47012 Valladolid, SpainEmergency Department, Hospital Universitario Rio Hortega de Valladolid, Gerencia Regional de Salud de Castilla y León (SACYL), c/Dulzaina, 2, 47012 Valladolid, SpainEmergency Department, Hospital Universitario Rio Hortega de Valladolid, Gerencia Regional de Salud de Castilla y León (SACYL), c/Dulzaina, 2, 47012 Valladolid, SpainFaculty of Health Sciences, Universidad de Castilla la Mancha, 45600 Talavera de la Reina, SpainEmergency Department, Hospital Universitario Rio Hortega de Valladolid, Gerencia Regional de Salud de Castilla y León (SACYL), c/Dulzaina, 2, 47012 Valladolid, SpainEmergency Medical Services-SACYL, Paseo Hospital Militar, nº 24, 47007 Valladolid, SpainEmergency Department, Hospital Universitario Rio Hortega de Valladolid, Gerencia Regional de Salud de Castilla y León (SACYL), c/Dulzaina, 2, 47012 Valladolid, SpainEarly 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.https://www.mdpi.com/2075-4426/11/3/170COVID-19pandemicearly warning scoreclinical decision-makingtriageemergency medicine |
| spellingShingle | Francisco Martín-Rodríguez José L. Martín-Conty Ancor Sanz-García Virginia Carbajosa Rodríguez Guillermo Ortega Rabbione Irene Cebrían Ruíz José R. Oliva Ramos Enrique Castro Portillo Begoña Polonio-López Rodrigo Enríquez de Salamanca Gambarra Marta Gómez-Escolar Pérez Raúl López-Izquierdo Early Warning Scores in Patients with Suspected COVID-19 Infection in Emergency Departments Journal of Personalized Medicine COVID-19 pandemic early warning score clinical decision-making triage emergency medicine |
| title | Early Warning Scores in Patients with Suspected COVID-19 Infection in Emergency Departments |
| title_full | Early Warning Scores in Patients with Suspected COVID-19 Infection in Emergency Departments |
| title_fullStr | Early Warning Scores in Patients with Suspected COVID-19 Infection in Emergency Departments |
| title_full_unstemmed | Early Warning Scores in Patients with Suspected COVID-19 Infection in Emergency Departments |
| title_short | Early Warning Scores in Patients with Suspected COVID-19 Infection in Emergency Departments |
| title_sort | early warning scores in patients with suspected covid 19 infection in emergency departments |
| topic | COVID-19 pandemic early warning score clinical decision-making triage emergency medicine |
| url | https://www.mdpi.com/2075-4426/11/3/170 |
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