Correlation of clinical, laboratory, ventilation, and outcome parameters in hospitalized Coronavirus Disease 2019-infected patients with computed tomography severity score

Abstract

Context Widespread prevalence of Coronavirus Disease 2019 (COVID-19) infection with high rates of morbidity and mortality necessitates early case definition and severity grading to predict prognosis and improve disease outcome parameters. Purpose To correlate computed tomography severity score (CTSS) in COVID-19-infected patients with their clinical, laboratory, method of ventilation, and disease outcome parameters. Patients and methods A retrospective analysis was performed on 139 COVID-19-infected patients with typical or indeterminate COVID radiological patterns with a correlation between CTSS and their clinical, laboratory, ventilation, hospital stay, and survival data. Results A total of 139 cases were included, with a mean age of 59.81 ± 12.29 years, 63.3% males, 28.77% were noncomorbid, and oxygen saturation of 82.53 ± 6.58 SD. They were subgrouped based on CTSS. A significant correlation was found between high CTSS and oxygen saturation, C-reactive protein, ferritin, D-dimer, lymphopenia, diabetes comorbid patients, need for high-flow oxygen therapy, need for noninvasive or invasive ventilation, mortality, and number of hospital stay in days. Conclusion Different parameters are correlated with high CTSS, especially low oxygen saturation, high C-reactive protein or ferritin values, diabetes, and long hospital stay.

Keywords

• coronavirus disease 2019 parameters
• coronavirus disease 2019 predictors
• coronavirus disease 2019 radiology
• coronavirus disease 2019 severity
• coronavirus disease 2019 computed tomography severity score