Volume 21 Issue 12
Dec.  2023
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Article Navigation >  Chinese Journal of General Practice  > 2023  >  21(12): 2077-2080
YANG Xingxing, SHAN Mingfeng, MENG Hui. Analysis of influencing factors and establishment of nomogram model for pneumonia complications in children with infectious mononucleosis[J]. Chinese Journal of General Practice, 2023, 21(12): 2077-2080. doi: 10.16766/j.cnki.issn.1674-4152.003294
Citation: YANG Xingxing, SHAN Mingfeng, MENG Hui. Analysis of influencing factors and establishment of nomogram model for pneumonia complications in children with infectious mononucleosis[J]. Chinese Journal of General Practice, 2023, 21(12): 2077-2080. doi: 10.16766/j.cnki.issn.1674-4152.003294
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Analysis of influencing factors and establishment of nomogram model for pneumonia complications in children with infectious mononucleosis

doi: 10.16766/j.cnki.issn.1674-4152.003294

  • Department of Infectious Diseases, Children' s Hospital Affiliated to Nanjing Medical University, Nanjing, Jiangsu 210008, China

Funds:

 NMUB2019191

 Z2020075

  • Received Date: 2023-02-15
    Abstract
  •   Objective  To develop a nomograph model for predicting pneumonia in children with infectious mononucleosis (IM), offering a valuable screening tool for identifying pneumonia in this population. Additionally, to assess the model' s ability to differentiate and maintain consistency in predicting pneumonia cases.  Methods  A total of 272 children with IM who were admitted to Department of Infectious Diseases, Children' s Hospital Affiliated to Nanjing Medical University hospital from January 2020 to January 2022 were enrolled in this study. The study population was divided into two groups based on the presence or absence of pneumonia. A comparative analysis was performed to identify significant differences between the pneumonia group and the non-pneumonia group. Logistic regression model was employed to analyze the risk factors contributing to pneumonia in children with IM. Subsequently, using the identified risk factors, a nomogram prediction model was constructed using R software.  Results  Among the 272 patients included in the study, 40 were diagnosed with pneumonia while 232 did not have pneumonia. The overall incidence of pneumonia in children with IM was found to be 14.71% (40/272). Compared with the group without pneumonia, the children with pneumonia exhibited prolonged fever duration, increased hospitalization time, enlarged spleen size, elevated PCT and CRP levels (all P < 0.05). Moreover, a lower proportion of children with pneumonia had received preventive antibiotic treatment (P < 0.05). Binary logistic regression analysis showed that prolonged fever duration and enlarged spleen size were independent risk factors for pneumonia, whereas preventive use of antibiotics was found to be a protective factor against pneumonia in children with IM. The calibration curve of the nomogram model showed a slope close to 1. Furthermore, the Hosmer-Lemeshow test yielded a non-significant result (χ2=8.022, P=0.431), indicating excellent consistency of the nomograph model for predicting pneumonia in children with IM.  Conclusion  The duration of fever, spleen size, and prophylactic use of antibiotics were identified as independent risk factors for pneumonia in children with IM. A nomogram model constructed based on these factors can be used to predict the risk level of pneumonia in children with IM.

     

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