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Chinese Journal of Experimental and Clinical Infectious Diseases(Electronic Edition) ›› 2025, Vol. 19 ›› Issue (02): 77-83. doi: 10.3877/cma.j.issn.1674-1358.2025.02.003

• Research Articles • Previous Articles     Next Articles

Construction and validation of a line chart prediction model for post infectious bronchiolitis obliterans in children with severe pneumonia

Aihong Zhao1, Weijuan Tang1,(), Junjian Fu1, Xiang Xu1   

  1. 1. Department of Pediatrics, Jianhu Clinical Medical College, Yangzhou University, Jianhu 224700, China
  • Received:2024-08-14 Online:2025-04-15 Published:2025-06-10
  • Contact: Weijuan Tang

Abstract:

Objective

To investigate the influence factors for post infectious bronchiolitis obliterans(PIBO) in children with severe pneumonia, and construct and validate a column chart prediction model.

Methods

The medical records of 252 children with severe pneumonia treated in Jianhu Clinical Medical College of Yangzhou University from January 2022 to December 2023 were collected. The children were followed up for 6 months and divided into PIBO group (192 cases) and non-PIBO group (60 cases)according to whether PIBO occurred. The clinical indicators of the two groups were compared to screen the influence factors for PIBO in severe pneumonia children, and independent influence factors were screened by multivariate Logistic regression analysis. A nomogram model was constructed, and the differentiation of the prediction model was evaluated by receiver operating characteristic curve (ROC). The clinical practicability and calibration degree of the prediction model were evaluated by decision curve and calibration curve.

Results

Among the 252 children with severe pneumonia, a total of 60 cases occurred PIBO, with the incidence rate of 23.81% (60/252). The age of children in PIBO group [(18.87 ± 6.72) months]was lower than that of non-PIBO group [(28.30 ± 9.04) months](t = 8.648, P < 0.001); the duration of fever [(13.77 ±3.75) days]was longer than that of non-PIBO group [(9.92 ± 3.05) days](t = 8.057, P < 0.001); the level of LDH [(725.78 ± 98.72) U/L]was higher than that of non-PIBO group [(628.49 ± 88.35) U/L](t = 7.236, P <0.001); the duration of mechanical ventilation [(7.10 ± 2.33) days]was longer than that of non-PIBO group[(4.89 ± 0.97) days](t = 10.541, P < 0.001), all with significant differences. The results of multivariate binary Logistic regression analysis showed that age (OR = 0.836, 95%CI: 0.773-0.904), duration of fever (OR =1.548, 95%CI: 1.288-1.861), LDH (OR = 1.014, 95%CI: 1.008-1.021) and duration of mechanical ventilation (OR =2.060, 95%CI: 1.496-2.836) were all independent influence factors for the occurrence of PIBO in children with severe pneumonia (all P < 0.001). The area under the ROC curve (AUC) of the column chart prediction model was 0.960 (95%CI: 0.937-0.984). The calibration curve of the predictive model indicates that the predicted probability of the model was close to the actual probability, and the calibration degree was well.The decision curve DCA of the prediction model was located above the None and All lines, indicating that the model had clinical practicality within this range. The Hosmer Lemeshow Chi-square test showed well fit of the prediction model.

Conclusions

Age, duration of heat, LDH and duration of mechanical ventilation were all independent influence factors for PIBO in children with severe pneumonia. Constructing a column chart prediction model based on these independent influencing factors can provide a practical tool for early identification and intervention of PIBO in children with severe pneumonia.

Key words: Severe pneumonia, Post-infectious bronchiolitis obliterans, Children, Nomogram

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