Development and internal validation of a nomogram for predicting recurrent respiratory tract infections in children

Fei Xia1, Xi Zhou2, Yan Xiong2

  • 1Department of Respiratory Medicine, The Affiliated Wuxi People's Hospital, Wuxi Children's Hospital of Nanjing Medical University, Wuxi, 214023, China; Department of Pediatrics, Yixing Hospital of Traditional Chinese Medicine, Yixing, 214200, China.

Respiratory Medicine
|January 24, 2025
PubMed

Insights

This study developed a nomogram to predict recurrent respiratory tract infection (RRTI) risk in children. The tool identifies key risk factors for early intervention.

Area of Science:

  • Pediatric Medicine
  • Epidemiology
  • Biostatistics

Background:

  • Recurrent respiratory tract infections (RRTI) pose a significant health burden in children.
  • Accurate risk prediction is crucial for timely intervention and management.

Purpose of the Study:

  • To develop and validate a predictive nomogram for identifying children at high risk of RRTI.
  • To establish a graphical tool for personalized risk assessment.

Main Methods:

  • Retrospective analysis of 150 children with RRTI and 151 controls (aged 0-14 years).
  • LASSO regression identified predictors: picky eating, age at first antibiotic use, prior antibiotic use, allergies, and secondhand smoke exposure.
  • Nomogram performance evaluated using ROC curves, calibration plots, and DCA.

Main Results:

  • The nomogram demonstrated excellent discriminative ability with an AUC of 0.902 in the training cohort and 0.826 in the validation cohort.
  • High predictive accuracy was confirmed, with good calibration and significant clinical net benefit.
  • Identified key risk factors include dietary habits, antibiotic history, allergic conditions, and environmental exposures.

Conclusions:

  • The developed nomogram is an effective tool for predicting RRTI risk in children.
  • Provides a personalized, graphical approach for early detection and intervention strategies.
Abstract

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