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A Nomogram Based on Immune Inflammation Indicators for Rotaviral Diarrhea in Children Under 5 years Old: A

Jing Chen1, Xiao Chen2, Xiaoling Huang1

  • 1Department of Pediatrics, The First People's Hospital of Neijiang, Neijiang, Sichuan, People's Republic of China.

Journal of Inflammation Research
|July 30, 2025
PubMed

Insights

Immune inflammation indicators like SIRI, LMR, NAR, and CAR can predict rotaviral diarrhea risk in young children. A developed nomogram model shows strong predictive accuracy for identifying children at risk.

Area of Science:

  • Pediatrics
  • Infectious Diseases
  • Immunology

Background:

  • Rotaviral diarrhea is a significant cause of illness in children under five.
  • Identifying predictive markers for rotaviral diarrhea is crucial for timely intervention.
  • Immune inflammation indicators may play a role in the pathogenesis and prediction of rotaviral diarrhea.

Purpose of the Study:

  • To investigate the relationship between specific immune inflammation indicators and rotaviral-induced diarrhea in children under five.
  • To develop and validate a predictive model for rotaviral diarrhea risk using these indicators.

Main Methods:

  • Retrospective cohort study of 439 children with diarrhea.
  • Utilized LASSO, univariate, and multivariate logistic regression to identify risk factors.
  • Developed a nomogram model and assessed its accuracy using calibration plots and decision curve analysis.

Main Results:

  • Rotaviral diarrhea was present in 27.33% of the children studied.
  • Systemic inflammatory response index (SIRI), lymphocyte-to-monocyte ratio (LMR), neutrophil-to-albumin ratio (NAR), and C-reactive protein-to-albumin ratio (CAR) were independent predictors.
  • The nomogram model achieved an AUC of 0.795 in the training set and 0.787 in the validation set, with strong calibration.

Conclusions:

  • Immune inflammation indicators (SIRI, LMR, NAR, CAR) are valuable predictors of rotaviral diarrhea risk in children.
  • The developed nomogram model demonstrates excellent predictive capability and clinical utility for assessing rotaviral diarrhea risk.
Abstract

Keywords:
childrenimmune inflammation indicatorsnomogramrotaviral diarrhea

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