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Diagnosis of Pediatric Non-Esophageal Eosinophilic Gastrointestinal Disorders by Eosinophil Peroxidase Immunohistochemistry
Journal article   Peer reviewed

Diagnosis of Pediatric Non-Esophageal Eosinophilic Gastrointestinal Disorders by Eosinophil Peroxidase Immunohistochemistry

Shaina H Hasan, Steve Taylor, Shipra Garg, Matthew R Buras, Alfred D Doyle, Cindy S Bauer, Benjamin L Wright and Shauna Schroeder
Pediatric and developmental pathology, Vol.24(6), pp.513-522
11/01/2021
PMID: 34176359

Abstract

Biopsy Child Enteritis Eosinophil Peroxidase Eosinophilia Eosinophilic Esophagitis Eosinophils Gastritis Humans Immunohistochemistry Retrospective Studies
Diagnosis of non-esophageal eosinophilic gastrointestinal disorders requires quantification of tissue eosinophils. Our objective was to evaluate eosinophil peroxidase (EPX) immunohistochemistry (IHC) as a method for histologic diagnosis of eosinophilic gastritis (EG) and eosinophilic duodenitis (EoD). We performed a retrospective analysis of biopsies from pediatric EG/EoD cases and controls. Subjects with EG or EoD had ≥30 eosinophils per high power field (eos/hpf) in ≥5 hpf in the stomach and/or ≥3 hpf in the duodenum, respectively. Controls had no histopathologic diagnosis recorded. Tissue eosinophil counts were assessed by hematoxylin & eosin stains. EPX stains were assessed using a unique histopathologic scoring system. Slides were digitized and EPX+ staining area/mm was quantified by image analysis. Twenty-six EG/EoD cases and 40 controls were analyzed. EPX scores and EPX/mm levels were markedly elevated in EG/EoD (p ≤ 0.0001). Eosinophil density (eos/mm ) correlated strongly with EPX scores and EPX/mm levels in the stomach (r ≥ 0.77) and moderately with EPX scores and EPX/mm levels in the duodenum (r ≥ 0.52); (p < 0.0001). EPX quantification identified EG/EoD subjects with high diagnostic accuracy (EPX score: AUC = 1 for EG and EoD; EPX/mm : AUC = 0.98 (95%CI 0.96-1) for EG, AUC = 0.91 (95%CI 0.81-1) for EoD). EPX-based assessment of eosinophilic inflammation may facilitate automated histologic diagnosis.

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