Risk factors and predictive models for early recurrent intussusception in children: a retrospective cohort study

Min Yang1, Yao Xie2, Yangmu Zhuang1

  • 1Department of Pediatric Surgery, The First Affiliated Hospital of Shantou University Medical College, Shantou, China.

Translational Pediatrics
|November 16, 2023
PubMed

Insights

Children older than one year with elevated monocyte ratios, but without vomiting or bloody stools, face a higher risk of early recurrent intussusception. This study identifies key risk factors and develops a predictive model for ERI in children.

Area of Science:

  • Pediatric Gastroenterology
  • Clinical Risk Prediction
  • Biostatistics

Background:

  • Early recurrent intussusception (ERI) significantly impacts children's health.
  • Limited research exists on identifying risk factors for ERI in pediatric populations.
  • This study addresses the need for better understanding and prediction of ERI.

Purpose of the Study:

  • To identify independent risk factors associated with ERI in children.
  • To develop and validate a predictive model for ERI.
  • To provide a clinical tool for assessing ERI risk.

Main Methods:

  • Retrospective study involving 787 children with no relapse intussusception (NRI) and 82 with ERI.
  • Univariate and multifactorial stepwise logistic regression analysis to identify risk factors.
  • Development and validation of a predictive model using logistic regression, ROC curve, and DCA.

Main Results:

  • Age, vomiting, bloody stools, and monocyte ratio were identified as independent risk factors for ERI (P<0.05).
  • The predictive model demonstrated strong performance with an AUC of 0.883 (95% CI: 0.846-0.920).
  • Calibration curves showed good agreement with ideal predictions, and DCA confirmed significant clinical utility.

Conclusions:

  • Key independent risk factors for ERI include age, vomiting, bloody stool, and monocyte ratio.
  • Children over one year old, without vomiting/bloody stools but with elevated monocytes, are at higher risk.
  • The developed predictive model offers a valuable reference for clinicians in managing ERI.
Abstract

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