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Chinese Journal of Experimental and Clinical Infectious Diseases(Electronic Edition) ›› 2023, Vol. 17 ›› Issue (04): 274-281. doi: 10.3877/cma.j.issn.1674-1358.2023.04.009

• Research Article • Previous Articles     Next Articles

Construction of a risk nomograph model for plastic bronchitis caused by refractory mycoplasma pneumoniae pneumonia in children

Mei Yang(), Chun Zhou, Aihong Zhao, Qin Wang   

  1. Department of Pediatrics, Jianhu Clinical Medical College, Yangzhou University, Jianhu 224700, China
    Department of Pediatrics, Nanjing Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing 210014, China
  • Received:2023-04-04 Online:2023-08-15 Published:2023-10-17
  • Contact: Mei Yang

Abstract:

Objective

To investigate the incidence and main risk factors of plastic bronchitis (PB) caused by refractory Mycoplasma pneumoniae pneumonia (RMPP) in children, and to construct a quantitative risk nomograph model for guiding early clinical high-risk stratification.

Methods

The clinical data of 350 children diagnosed as RMPP admitted to Jianhu Clinical Medical College, Yangzhou University from February 2020 to February 2023 were analyzed, retrospectively, and were divided into modeling set (280 cases) and validation set (70 cases) by 4︰1, randomly. The model set was divided into PB group (120 cases) and no PB group (160 cases) according to bronchofiberscopy and histopathological findings. The clinical manifestations, blood biochemistry and chest CT signs of patients in different groups were compared, the most different indicators were screened by LASSO regression, the main risk factors were screened by multivariate Logistic regression, and the prediction model was drawn by histogram. The area under the curve (AUC) of plastic bronchitis was predicted by receiver operating curve (ROC) calculation model. The goodness of fit of the model was evaluated by Hosmer-Lemeshow test. The consistency and benefit of the model were evaluated by calibration curve and decision curve.

Results

The modeling set diagnosed 120 cases of PB (42.9%, 120/280) and the verification set diagnosed 25 cases of PB (35.7%, 25/70). The positive rates of PB and other general clinical data were comparable between the two groups (all P > 0.05). Single-factor comparison showed that peak body temperature (t = 3.659, P = 0.001), fever duration (t = 5.021, P < 0.001), hypoxemia (χ2 = 4.060, P = 0.044), glucocorticoid (χ2 = 7.154, P = 0.007), intravenous gamma globulin (χ2 = 16.169, P < 0.001), atelectasis (χ2 = 13.810, P < 0.001), pleural effusion (χ2 = 11.118, P < 0.001), neutrophil percentage (N%) (Z =1.659, P < 0.001), C-reactive protein (CRP) (Z =15.659, P < 0.001), procalcitonin (PCT) (Z = 9.654, P < 0.001), interleukin 6 (IL-6) (Z = 23.324, P < 0.001), alanine aminotransferase (ALT) (Z = 3.425, P < 0.001), lactate dehydrogenase (LDH) (Z = 123.325, P < 0.001) and D-dimer (Z = 5.246, P < 0.001) were significantly higher than those without PB, while platelet count (PLT) was significantly decreased (Z = 1.995, P < 0.001). Total of 6 non-collinear indexes were selected by LASSO regression, namely peak body temperature, atelectasis, pleural effusion, N%, IL-6 and LDH. Multivariate Logistic regression showed that peak body temperature (OR = 2.756, 95%CI: 2.03-3.567, P < 0.001), atelectasis (OR = 3.526, 95%CI: 2.869-4.123, P < 0.001), pleural effusion (OR = 2.032, 95%CI: 1.456-2.758, P < 0.001), N% (OR = 1.856, 95%CI: 1.235-2.632, P < 0.001), IL-6 (OR = 1.525, 95%CI: 1.124-2.201, P < 0.001), and LDH (OR = 1.302, 95%CI: 1.052-1.968, P < 0.001) were all the risk factors to PB caused by RMPP. The nomogram model was established by R software, with a total score of 500 points. The AUC of the model for predicting PB in model set and validation set were 0.902 (95%CI: 0.856-0.945, P < 0.001) and 0.866 (95%CI: 0.823-0.914, P < 0.001), respectively. Both the calibration curve and the decision curve showed that the model had good degree of coincidence and clinical net benefit ratio.

Conclusions

Children with RMPP have a high incidence of PB, peak body temperature, atelectasis, pleural effusion, N%, IL-6 and LDH are all main risk factors; a nomograph model was developed that has good potential for guiding clinical evaluation of high-risk PB and is worth promoting.

Key words: Mycoplasma pneumoniae pneumonia, Plastic bronchitis, Risk factor, Nomogram, Atelectasis, Pleural effusion, Interleukin 6, Lactate dehydrogenase

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