Development of COVID-19 severity assessment score in adults presenting with COVID-19 to the emergency department.
Autor: | Subhani F; Department of Emergency Medicine, Aga Khan University Hospital, Stadium Road, Karachi, 74800, Pakistan., Chhotani AA; Department of Emergency Medicine, Aga Khan University Hospital, Stadium Road, Karachi, 74800, Pakistan., Waheed S; Department of Emergency Medicine, Aga Khan University Hospital, Stadium Road, Karachi, 74800, Pakistan. shahan.waheed@aku.edu., Zahid RO; Department of Emergency Medicine, Aga Khan University Hospital, Stadium Road, Karachi, 74800, Pakistan., Azizi K; Department of Emergency Medicine, Aga Khan University Hospital, Stadium Road, Karachi, 74800, Pakistan., Buksh AR; Department of Emergency Medicine, Aga Khan University Hospital, Stadium Road, Karachi, 74800, Pakistan. |
---|---|
Jazyk: | angličtina |
Zdroj: | BMC infectious diseases [BMC Infect Dis] 2022 Jun 27; Vol. 22 (1), pp. 576. Date of Electronic Publication: 2022 Jun 27. |
DOI: | 10.1186/s12879-022-07535-8 |
Abstrakt: | Background: Critically-ill Covid-19 patients require extensive resources which can overburden a healthcare system already under strain due to a pandemic. A good disease severity prediction score can help allocate resources to where they are needed most. Objectives: We developed a Covid-19 Severity Assessment Score (CoSAS) to predict those patients likely to suffer from mortalities within 28 days of hospital admission. We also compared this score to Quick Sequential Organ Failure Assessment (qSOFA) in adults. Methods: CoSAS includes the following 10 components: Age, gender, Clinical Frailty Score, number of comorbidities, Ferritin level, D-dimer level, neutrophil/lymphocyte ratio, C-reactive Protein levels, systolic blood pressure and oxygen saturation. Our study was a single center study with data collected via chart review and phone calls. 309 patients were included in the study. Results: CoSAS proved to be a good score to predict Covid-19 mortality with an Area under the Curve (AUC) of 0.78. It also proved better than qSOFA (AUC of 0.70). More studies are needed to externally validate CoSAS. Conclusion: CoSAS is an accurate score to predict Covid-19 mortality in the Pakistani population. (© 2022. The Author(s).) |
Databáze: | MEDLINE |
Externí odkaz: | |
Nepřihlášeným uživatelům se plný text nezobrazuje | K zobrazení výsledku je třeba se přihlásit. |