Development of COVID-19 severity assessment score in adults presenting with COVID-19 to the emergency department

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. We developed a Covid-19 Severity Assessment Score (CoSAS)...

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Published inBMC infectious diseases Vol. 22; no. 1; pp. 1 - 576
Main Authors Subhani, Faysal, Chhotani, Abdul Ahad, Waheed, Shahan, Zahid, Rana Osama, Azizi, Kiran, Buksh, Ahmed Raheem
Format Journal Article
LanguageEnglish
Published London BioMed Central Ltd 27.06.2022
BioMed Central
BMC
Subjects
Adults
Blood pressure
C-reactive protein
Care and treatment
Comorbidity
Coronaviruses
COVID-19
Data collection
Diagnosis
Disease transmission
Emergency
Emergency medical care
Emergency medical services
Emergency service
Ferritin
Health risk assessment
Hospitals
Intensive care
Laboratories
Leukocytes (neutrophilic)
Low income groups
Lymphocytes
Males
Measurement
Methods
Mortality
Oxygen content
Pandemics
Patients
Pneumonia
Prediction score
qSOFA
Variables
Viremia
Pakistan
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Summary: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. 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. 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. 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. CoSAS is an accurate score to predict Covid-19 mortality in the Pakistani population.
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ISSN:1471-2334
1471-2334
DOI:10.1186/s12879-022-07535-8