Abstract
Background and objectives
Lung ultrasound has established itself as a dependable bedside imaging modality, with demonstrated concordance with computed tomography in the assessment of pulmonary abnormalities. Prior studies have also validated its utility in identifying COVID-19-associated lung pathology. In this context, the present study aims to evaluate the correlation between lung ultrasound findings and clinical parameters in order to determine its effectiveness in assessing disease severity and predicting mortality among patients with COVID-19 infection.Methods
This study enrolled hospitalized patients with microbiologically confirmed SARS-CoV-2 infection, who were clinically stratified into mild (absence of moderate or severe COVID-19 symptoms), moderate (respiratory rate ≥24/min or SpO₂ Results
Among the total cohort of 60 patients, B-line abnormalities involving at least one lung zone were identified in 88.33% of cases. The total number of lung zones demonstrating ultrasonographic abnormalities (B/B' or C/C' profiles) showed a significant negative correlation with both PF ratio (ρ = - 0.7232, p Conclusion
A greater extent of pulmonary abnormalities detected on lung ultrasound demonstrates significant correlation with clinical severity and patient outcomes in COVID-19 pneumonia. These findings support the potential role of lung ultrasound in future prospective studies as an effective and safer modality for triaging and prognosticating patients with viral pneumonia other than COVID-19 in any resource-limited setting.