Abstract

Introduction

Histologic diagnosis of eosinophilic esophagitis (EoE) involves peak eosinophil counts (PEC) being greater than 15 per high power field. The EoE Histology Scoring System (EoEHSS) was developed to comprehensively evaluate biopsies to better predict symptom and endoscopy response; we aimed to validate the EoEHSS in our provincial registry, where EoEHSS had not been employed.

Methods

We reviewed 186 esophageal biopsies from 16 patients at diagnosis and follow-up. Statistical analyses were conducted to quantify how grade scores correlate with active EoE status and PEC counts, and each feature’s ability to predict active disease.

Results

Nearly all EoEHSS variables were associated with active EoE and high PEC, with basal zone hyperplasia, eosinophil abscesses, and surface epithelial alteration being most predictive in identifying active EoE.

Conclusions

We validated and demonstrated each EoEHSS variable’s strength in tracking traditional PEC counts, resulting in its adoption as a standard reporting element for our research registry.

中文翻译：

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嗜酸性食管炎组织学评分系统分级评分在不列颠哥伦比亚儿童医院患者中的应用

摘要

介绍

嗜酸性粒细胞性食管炎 (EoE) 的组织学诊断涉及嗜酸性粒细胞计数峰值 (PEC) 大于 15/高倍视野。EoE 组织学评分系统 (EoEHSS) 旨在全面评估活检，以更好地预测症状和内镜反应；我们的目标是在我们的省级注册中心验证 EoEHSS，而 EoEHSS 尚未使用。

方法

我们回顾了 16 名患者在诊断和随访时的 186 份食管活检。进行统计分析以量化成绩分数与活动 EoE 状态和 PEC 计数的相关性，以及每个特征预测活动性疾病的能力。

结果

几乎所有 EoEHSS 变量都与活动性 EoE 和高 PEC 相关，基底区增生、嗜酸性粒细胞脓肿和表面上皮改变最能预测活动性 EoE。

结论

我们验证并展示了每个 EoEHSS 变量在跟踪传统 PEC 计数方面的优势，从而将其作为我们研究登记处的标准报告元素采用。