Correlation of mortality in young COVID-19 patients with CT scoring of CT Chest, in tertiary care centre - (A Retrospective analysis)

Abstract

Background:Coronavirus disease 2019 (COVID-19) is the most recent global health emergency, which first developed at the end of 2019 in China, (Wuhan). It is caused by a beta-coronavirus called coronavirus 2 (SARS-CoV).Chest Computed Tomography (CT) plays an important role in screening, diagnosing, and evaluating the progress of the disease.Ground-glass opacification, consolidation, linear opacities, and crazy-paving pattern are the predominant patterns of COVID-19 on CT scan.We aimed to determine CT chest findings in mortality cases of COVID-19 patients up-to the age of 45 years in tertiary care centre. Methods:-37 patients up-to the age of 45 years who died from COVID-19 were retrospectively included in this study. CT scan data of the patients were collected from medical records. The data was summarized. The CT severity score was analyzed. Results: 1854 patients admitted in our hospital from 1April2021 to 31 May 2021 with COVID-19 disease, in which 214 patients died due to covid-19 disease .Out of 214 total deaths 37 deaths occur up-to the age of 45 years. The mean age of patients was 38.16 years. Of which 28 (76%) were men and 09(24%) were women.GGO with consolidation was the most common feature for the lung. Six lobes of lung were divided into total 20 segments. Each segment was scored 0, 1 and 2 depending on the status of involvement. All segments total scored 40.Severity of disease was categorized into Mild <13, Moderate 13-19.5, and Severe >19.5 score. The CT severity score was rated as severe in 84%(31) of patients, moderate in 16% (06) patients, and mild in 0% (0) of patients. Conclusion: Our findings suggest that in death cases due to covid-19 in 2nd wave, the CT chest pattern, CT severity score and percent of lung involvement is almost same irrespective of age group up-to the age of 45 years.