Ct Characteristics of Coronavirus Disease 2019 Pneumonia and Its Association With C-Reactive Protein, Erythrocyte Sedimentation Rate and Gender Publisher

Summary: Research indicates high CRP levels correlate with severe COVID-19 pneumonia. Can these biomarkers predict disease severity? #COVID19 #Biomarkers

Eftekhari ARE ; Fazelinejad Z ; Nashibi R ; Pour MB
Source: Advanced Biomedical Research Published:2022

Abstract

Background: This research intended to investigate the characteristics of COVID-19, accurately evaluate radiological findings, and compare it with laboratory evidence of coronavirus. Materials and Methods: A retrospective study of 120 consecutive cases with a mean age of 55.9 ± 15.82 years and laboratory-confirmed COVID-19 pneumonia was performed. On admission, C-reactive protein (CRP) and erythrocyte sedimentation rate (ESR) levels were tested. Computed tomography (CT) findings and scored pulmonary involvement were evaluated. Results: An elevated level of CRP and mildly raised ESR was seen in all patients. ESR showed a meaningful difference between both genders (P < 0.05). Ninety-four (78.3%) patients showed peripheral pulmonary lesions and 119 patients had ground-glass opacity (99.2%), 110 (92.4%) had consolidation, and 9 patients (7.5%) had linear opacities. Of 120 cases, 25 (20%) had bronchial changes, 25 (20%) had air bronchogram, 11 (9.2%) had bronchial distortion, and 2 had mediastinal lymphadenopathy. The CT scores in males and females were 17.41 ± 4.86 and 14.65 ± 4.96, respectively with a significant difference between both genders (P = 0.001). CT score difference was significant between both genders (P = 0.01). The largest lung lesion diameter in both sexes (male: 46.0725.75 and female: 57.9131.14) showed a meaningful difference. CRP (r = 0.10; P < 0.05) and ESR (r = 0.15; P < 0.05) were correlated with the CT scores. Conclusion: the results indicated that the infection involved lung parenchyma and interstitium. CRP and ESR levels were correlated with lung lesions and showed positive performance in predicting severity and disease monitoring. © 2022 Elsevier B.V., All rights reserved.