A Correlational Study between Chest Computed Tomography Severity Score and Laboratory Biomarker among COVID-19 Patient Admitted to a Tertiary Care Institute in a Tribal Belt of Central India.

BACKGROUND: COVID-19 an emerging viral disease is a new challenge before the world. While having limited resources, early identification and deciding the need for hospitalization is important in management. OBJECTIVES: Can Chest high-resolution computed tomography (HRCT) score be used as a prognostic factor and along biomarkers as a composite indicator to determine outcomes in COVID-19 pneumonia? MATERIALS AND METHODS: A cross-sectional record-based study was conducted at a Tertiary Care Institute in Central India on 400 reverse transcription polymerase chain reaction confirmed COVID-19 patients during March 1st, 2021-May 31st, 2021. RESULTS: The mean age was 42.82 years with male predominance (67%). Comorbidity was positively associated with computed tomography severity score (CT-SS) (P = 0.0). Most common comorbidities were hypertension (26%), diabetes (21%), chronic obstructive pulmonary disease (17%), and chronic kidney disease (17%). There was a statistically significant positive association between oxygen requirement (P = 0.002) and biomarkers including D-dimmer, serum ferritin, and C-reactive protein with HRCT severity score (HRCT-SS). Cycle threshold value had varying relation to the CT-SS. CONCLUSION: HRCT-SS can be used as a predictor for COVID-19 pneumonia severity and mortality outcome.