ABSTRACT
Introduction: Treatment of patients with COVID-19 in intensive care unit (ICU) has been a significant challenge. Early detection of COVID-19 related severity is critical for timely management of such patients. This retrospective observational study aimed to evaluate clinical characteristics such as laboratory parameters, associated comorbidities, computed tomography (CT)-based semi-quantitative score, and cumulative correlative measurement of critically ill COVID-19 patients to assess the requirement for early ICU admission. Materials and methods: Data from the treatment record of COVID-19 patients with severe pneumonia was collected at a tertiary care government medical institution from 1st May, 2020 to 30th May, 2020. Binary logistic regression analysis, specificities and sensitivities of maximum D-dimer, ferritin, other laboratory measures, and CT-based semi-quantitative score for outcome cutoffs were calculated to predict early indicators of ICU admission and mortality.