Determining the mortality prognostic value of cytokine storm score in hospitalized COVID-19 patients
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Abstract
Objective: To determine the mortality prognostic value of the cytokine storm score (CSs) in hospitalized COVID-19 patients. Subject and method: A prospective study, longitudinal follow-up of 81 COVID-19 patients admitted to the COVID-19 Treatment Center, 175 Military Hospital from August 2021 to October 2021. The cytokine storm score was applied to predict mortality risk. Result: There were 81 COVID-19 patients included in the study, with a mean age of 55.67 ± 14.6 years. Men were 45.7% and women were 54.3%. Positive of CSs accounted for 54.32%. CSs scores were higher in severe COVID-19 patients. The CSs score had a good predictive ability of mortality in COVID-19 patients, with an area under the ROC curve was 0.95. The best cutoff value for predicting mortality was CSs ≥ 4 points, with sensitivity 96.55%, specificity 82.69%, positive predictive value 75.67%, negative predictive value 97.72%. Conclusion: The CSs score was an effective tool to predict mortality risk for hospitalized COVID-19 patients.
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