Correlation of Clinical Parameters with Findings of High-resolution Computed Tomography Chest in COVID-19 Patients

Background: Studies have shown that high-resolution computed tomography (HRCT) of the chest along with clinical parameters is useful in determining the clinical progression, extent of disease and severity of illness in patients with COVID-19. Hence, the present study was done to assess HRCT chest features in patients with COVID-19 infection and to find its association with clinical status in these cases. Materials and methods: This was an observational study over the period of 18 months in patients diagnosed with COVID-19 disease following reverse transcription polymerase chain reaction (RT-PCR). Demographic details, history, clinical parameters, blood and imaging details of enrolled patients were recorded in the study proforma and analyzed using Statistical Package for the Social Sciences (SPSS) software for Windows. Results: The study included 150 COVID-19 patients. HRCT chest severity score was mild in the majority of patients (46.7%), moderate in 24.7%, severe in 5.3%, and negative in 23.3% of cases. HRCT chest severity score was directly correlated with fever, dyspnea, cough, sore throat, reduced appetite, tachypnea, tachycardia, heart rate, respiratory rate, systolic blood pressure, peripheral oxygen saturation, and Glasgow Coma Scale (GCS) score (p < 0.05). Conclusion: The HRCT chest severity score is directly correlated with clinical symptoms, clinical parameters, coexisting comorbidities, and radiological findings in patients with COVID-19 disease. Hence, HRCT chest plays an important role in assessing the severity of COVID-19 disease and predicting the outcome in these patients. How to cite this article: Verma S, Sejwar A, Dube S, et al. Correlation of Clinical Parameters with Findings of High-resolution Computed Tomography Chest in COVID-19 Patients. J Assoc Physicians India 2023;71(11):25-29.