Peripheral blood eosinophils: an important reference for radiologists to distinguish between pulmonary paragonimiasis and tuberculous pleurisy in children

• Published in: BMC infectious diseases 2024-06, Vol.24 (1), p.571-9, Article 571
• Main Authors: Zhang, Kai-Yi, Bi, Yan, Fu, Xu-Wen, Qi, Min, Wei, Jia-Lu, Gan, Wei, Zhang, Le, Li, Xiang
• Format: Article
• Language: English
• Subjects: Adolescent; Analysis; Bacterial infections; Blood; Calcification; Care and treatment; Cavitation; Chest; Child; Child, Preschool; Children; Complications and side effects; Computed tomography; CT imaging; Diagnosis; Diagnosis, Differential; Diagnostic systems; Differential diagnosis; Eosinophils; Female; Fluke infections; Health aspects; Hospitals; Humans; Identification; Laboratories; Laboratory tests; Leukocytes (eosinophilic); Lung nodules; Lymphatic system; Male; Males; Medical examination; Medical imaging; Nodules; Paragonimiasis; Paragonimiasis - diagnosis; Paragonimiasis - diagnostic imaging; Patients; Peripheral blood; Pleura; Pleural effusion; Pleurisy; Regression analysis; Regression models; Retrospective Studies; Risk factors; ROC Curve; Sensitivity; Sensitivity and Specificity; Statistical analysis; Tomography; Tomography, X-Ray Computed; Tuberculosis; Tuberculosis, Pleural - diagnosis
• ISSN: 1471-2334; 1471-2334
• DOI: 10.1186/s12879-024-09461-3

In this study, we examined the value of chest CT signs combined with peripheral blood eosinophil percentage in differentiating between pulmonary paragonimiasis and tuberculous pleurisy in children. Patients with pulmonary paragonimiasis and tuberculous pleurisy were retrospectively enrolled from January 2019 to April 2023 at the Kunming Third People's Hospital and Lincang People's Hospital. There were 69 patients with pulmonary paragonimiasis (paragonimiasis group) and 89 patients with tuberculous pleurisy (tuberculosis group). Clinical symptoms, chest CT imaging findings, and laboratory test results were analyzed. Using binary logistic regression, an imaging model of CT signs and a combined model of CT signs and eosinophils were developed to calculate and compare the differential diagnostic performance of the two models. CT signs were used to establish the imaging model, and the receiver operating characteristic (ROC) curve was plotted. The area under the curve (AUC) was 0.856 (95% CI: 0.799-0.913), the sensitivity was 66.7%, and the specificity was 88.9%. The combined model was established using the CT signs and eosinophil percentage, and the ROC was plotted. The AUC curve was 0.950 (95% CI: 0.919-0.980), the sensitivity was 89.9%, and the specificity was 90.1%. The differential diagnostic efficiency of the combined model was higher than that of the imaging model, and the difference in AUC was statistically significant. The combined model has a higher differential diagnosis efficiency than the imaging model in the differentiation of pulmonary paragonimiasis and tuberculous pleurisy in children. The presence of a tunnel sign on chest CT, the absence of pulmonary nodules, and an elevated percentage of peripheral blood eosinophils are indicative of pulmonary paragonimiasis in children.