Abstract
BackgroundPredictions about the hospital course of the coronavirus disease 2019 (COVID-19) patients are of paramount value. This research was designed to validate 4C mortality and CT severity scores (CT-SS) as prognostication tools of mortality and detect their relations among patients with COVID-19 who are hospitalized. The identification of other potential mortality risk factors was also evaluated.MethodsTwo hundred and ninety-six confirmed COVID-19 adult cases were prospectively included. They were allocated into 3 groups according to severity; 78 in moderate group, 97 in severe group, and 121 patients in critical group. Patient demographics, clinical characteristics, co-morbidities, lines of treatment, 4C mortality score and CT severity score were assessed upon admission.ResultsThe study revealed that 90% and 84.3% sensitivities were observed for 4C mortality and CT-SS respectively as predictors of mortality. Significant correlation between both scores (r = 0.6. p = 0.0001) was detected. Multivariate analysis identified 6.9-fold increased risk of mortality for the patients with 4C mortality score > 9.5 (p = 0.001). CT-SS > 12, age ≥ 60, male gender, hypertension and diabetes mellitus were also found as significant independent factors associated with increased mortality.ConclusionsBoth of 4C mortality score and CT-SS have a high sensitivity as a risk-stratification scores with a considerable correlation. In addition, they represent the most independent risk factors associated with mortality in comparison to other clinical or laboratory indices.
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