A clinical predictive model identifies pediatric patients at risk for eosinophilic esophagitis

Dig Liver Dis. 2024 Dec;56(12):2045-2051. doi: 10.1016/j.dld.2024.06.019. Epub 2024 Jul 6.

Abstract

Background: Identifying children needing endoscopic evaluation for suspected eosinophilic esophagitis (EoE) is crucial for prompt diagnosis and management.

Aims: We aimed to develop a clinical prediction tool to distinguish children with EoE from children without the disease before endoscopy.

Methods: We conducted a retrospective case-control study of children undergoing upper endoscopy at a tertiary care center. Clinical characteristics before endoscopy were extracted from 380 EoE cases and 380 controls without EoE. We built a predictive model for case-control status and performed age-stratified analyses.

Results: After multivariable analysis, history of adaptive eating behaviors, food allergy, food impaction, male sex, and regurgitation were independently associated with EoE, and abdominal pain and failure to thrive with control status (AUC 0.81). Food allergy and male sex were predictors of EoE across all ages. Regurgitation and adaptive eating behaviors were specific to EoE in early (0-5 years) (AUC 0.74) and middle childhood (6-11 years) (AUC 0.82), while dysphagia and food impaction were specific to EoE in the adolescence (12-17 years) (AUC 0.87).

Conclusion: We determined age-specific clinical features that predict EoE with good discrimination in a pediatric population before endoscopy. Validation of this model in an independent population can confirm the utility of this tool.

Keywords: Children; Endoscopy; Esophagus; Food allergy.

MeSH terms

  • Adolescent
  • Case-Control Studies
  • Child
  • Child, Preschool
  • Deglutition Disorders / etiology
  • Eosinophilic Esophagitis* / diagnosis
  • Eosinophilic Esophagitis* / epidemiology
  • Female
  • Food Hypersensitivity / complications
  • Food Hypersensitivity / diagnosis
  • Humans
  • Infant
  • Infant, Newborn
  • Male
  • Multivariate Analysis
  • Retrospective Studies
  • Risk Assessment
  • Risk Factors