Development of COVID-19 severity assessment score in adults presenting with COVID-19 to the emergency department
Abstract 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 Sev...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2022-06-01
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| Series: | BMC Infectious Diseases |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12879-022-07535-8 |
| _version_ | 1818235218069291008 |
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| author | Faysal Subhani Abdul Ahad Chhotani Shahan Waheed Rana Osama Zahid Kiran Azizi Ahmed Raheem Buksh |
| author_facet | Faysal Subhani Abdul Ahad Chhotani Shahan Waheed Rana Osama Zahid Kiran Azizi Ahmed Raheem Buksh |
| author_sort | Faysal Subhani |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-12-12T11:50:28Z |
| format | Article |
| id | doaj.art-e41b6aa685e64d9bb800eddb710842bc |
| institution | Directory Open Access Journal |
| issn | 1471-2334 |
| language | English |
| last_indexed | 2024-12-12T11:50:28Z |
| publishDate | 2022-06-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Infectious Diseases |
| spelling | doaj.art-e41b6aa685e64d9bb800eddb710842bc2022-12-22T00:25:20ZengBMCBMC Infectious Diseases1471-23342022-06-012211910.1186/s12879-022-07535-8Development of COVID-19 severity assessment score in adults presenting with COVID-19 to the emergency departmentFaysal Subhani0Abdul Ahad Chhotani1Shahan Waheed2Rana Osama Zahid3Kiran Azizi4Ahmed Raheem Buksh5Department of Emergency Medicine, Aga Khan University HospitalDepartment of Emergency Medicine, Aga Khan University HospitalDepartment of Emergency Medicine, Aga Khan University HospitalDepartment of Emergency Medicine, Aga Khan University HospitalDepartment of Emergency Medicine, Aga Khan University HospitalDepartment of Emergency Medicine, Aga Khan University HospitalAbstract 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.https://doi.org/10.1186/s12879-022-07535-8Covid-19Prediction scoreqSOFAEmergency |
| spellingShingle | Faysal Subhani Abdul Ahad Chhotani Shahan Waheed Rana Osama Zahid Kiran Azizi Ahmed Raheem Buksh Development of COVID-19 severity assessment score in adults presenting with COVID-19 to the emergency department BMC Infectious Diseases Covid-19 Prediction score qSOFA Emergency |
| title | Development of COVID-19 severity assessment score in adults presenting with COVID-19 to the emergency department |
| title_full | Development of COVID-19 severity assessment score in adults presenting with COVID-19 to the emergency department |
| title_fullStr | Development of COVID-19 severity assessment score in adults presenting with COVID-19 to the emergency department |
| title_full_unstemmed | Development of COVID-19 severity assessment score in adults presenting with COVID-19 to the emergency department |
| title_short | Development of COVID-19 severity assessment score in adults presenting with COVID-19 to the emergency department |
| title_sort | development of covid 19 severity assessment score in adults presenting with covid 19 to the emergency department |
| topic | Covid-19 Prediction score qSOFA Emergency |
| url | https://doi.org/10.1186/s12879-022-07535-8 |
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