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Characterization of Inflammatory Responses During Intranasal Colonization with Streptococcus pneumoniae
Published on: January 17, 2014
Analysis of risk factors for plastic bronchitis induced by Streptococcus pneumoniae in children
Xi-Xia Guo1, Ya-Li Xu1, Yi-Shuai Ren1
1Department of Pediatrics, The First Affiliated Hospital of Xinxiang Medical University, No.88 of JianKang Road, Weihui, Henan province, 453100, China.
Insights
Plastic bronchitis in children with pneumococcal pneumonia is associated with specific clinical indicators. Mucosal erythema, secretion color, and procalcitonin levels are key predictors of this serious complication.
Area of Science:
- Pediatric Pulmonology
- Infectious Diseases
- Critical Care Medicine
Background:
- Pneumococcal pneumonia is a common childhood infection.
- Plastic bronchitis (PB) is a rare but severe complication of pneumonia, characterized by the formation of bronchial casts.
- Identifying risk factors for PB is crucial for timely diagnosis and management.
Purpose of the Study:
- To investigate the clinical features of pneumococcal pneumonia.
- To identify independent risk factors for the development of plastic bronchitis in pediatric patients with pneumococcal pneumonia.
Main Methods:
- A retrospective study of 156 pediatric patients with pneumococcal pneumonia.
- Patients were categorized into groups based on the presence of plastic bronchitis and extrapulmonary complications.
- Statistical analyses included Mann-Whitney U test, chi-square test, multivariate analysis, and ROC curve analysis to identify risk factors.
Main Results:
- Pulmonary consolidation was more frequent in the right lower lobe.
- Patients with plastic bronchitis exhibited more severe mucosal erythema and abnormal secretion color compared to those without.
- Extrapulmonary complications were more prevalent in the plastic bronchitis group.
- Multivariate analysis identified mucosal erythema, secretion color, and procalcitonin (PCT) as independent risk factors for PB.
- ROC curve analysis indicated predictive value for mucosal erythema, secretion volume, secretion color, and PCT.
Conclusions:
- The amount of secretion, mucosal erythema, yellow-white secretion color, and PCT are significant independent risk factors for plastic bronchitis in pediatric pneumococcal pneumonia.
- These factors demonstrate high predictive value for identifying patients at risk of developing plastic bronchitis.
Objective:
To explore the clinical characteristics and independent risk factors of pneumococcal pneumonia complicated with plastic bronchitis.
Methods:
156 patients with pneumococcal pneumonia who were admitted to the Department of Pediatrics of the First Affiliated Hospital of Xinxiang Medical University. The patients were divided into plastic bronchitis (PB) group and non-plastic bronchitis (non-PB) group. PB patients were further divided into complication group (EC) and non-complication group (non-EC). The Mann-Whitney U test or chi-square test was used to compare the differences between the groups. The ROC curve was drawn to evaluate the accuracy of independent risk factors in predicting PB.
Results:
There were significant differences in the positive rate of pulmonary consolidation in different lobes (χ2 = 20.01, P = 0.0005), among which the probability of consolidation in the right lower lung was significantly higher than that in the other four lobes (P < 0.05). Bronchoscopy showed that the PB group was more serious than the non-PB group in terms of mucosal erythema (P = 0.02) and color of secretion(P < 0.01). The extrapulmonary complications were more common (P < 0.05). Multivariate analysis showed that mucosal erythema, secretion color and PCT were independent risk factors for PB (P < 0.05). ROC curve analysis showed that mucosal erythema, secretion volume, secretion color and PCT had a certain predictive value for PB, with AUCs of 0.7, 0.77, 0.71 and 0.61, respectively.
Conclusion:
The amount of secretion, mucosal erythema, secretion color (yellow-white) and PCT are independent risk factors for plastic bronchitis and have high value in its prediction.
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