Keywords
Bronchoalveolar lavage
Risk prediction model
Submitted : 2025-12-16
Accepted : 2025-12-31
Published : 2026-01-15
Abstract
Objective: To study the risk prediction model for multiple bronchoalveolar lavage in children with mycoplasma pneumoniae pneumonia (MPP). Methods: 151 pediatric patients with MPP admitted in our hospital from July to December 2023 were selected, the incidence rate of multiple bronchoalveolar lavage was recorded. A logistic multivariate regression model was employed to analyze relevant factors and construct a risk prediction model for multiple bronchoalveolar lavage in children with MPP. Results: Among 151 children with MPP, 64 cases underwent multiple bronchoalveolar lavage, accounting for 42.38%. The Logistic multivariate model analysis revealed that the pleural effusion, sepsis, and abnormally elevated serum levels of LDH and D-D were independent influence factors for multiple bronchoalveolar lavage in children with MPP (p < 0.05), based on this, a Nomogram prediction model can be established. The ROC analysis results showed that the AUC of the model to judge the multiple bronchoalveolar lavage in MPP patients was 0.828 (SE = 0.035, 95% CI = 0.760–0.896, p < 0.001), the sensitivity was 0.813 and the specificity was 0.759. Conclusion: The multiple bronchoscopic bronchoalveolar lavage in MPP patients are associated with the levels of LDH and D-D, as well as the presence of pleural effusion and sepsis complications, the risk prediction model established, which based on this has high accuracy.
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