A New Tool to Assess Disease Severity in Eosinophilic Esophagitis.

Eosinophilic esophagitis clinical tool monitoring outcomes severity treatment

Journal

Gastroenterology & hepatology
ISSN: 1554-7914
Titre abrégé: Gastroenterol Hepatol (N Y)
Pays: United States
ID NLM: 101262648

Informations de publication

Date de publication:
Aug 2023
Historique:
medline: 29 9 2023
pubmed: 29 9 2023
entrez: 29 9 2023
Statut: ppublish

Résumé

The presentation of eosinophilic esophagitis (EoE) is heterogeneous with varied clinical, endoscopic, and histologic features impacting the severity of the condition. Until recently, however, and in contrast with many other conditions, there has been no standardized way to measure disease severity in EoE. A clinically applicable method for assessing severity in routine practice has been recognized as necessary to standardize assessment and management of EoE. Therefore, the American Gastroenterological Association has sponsored a consensus conference to determine elements of severity in EoE and develop the first tool to measure severity. This article presents details of this severity metric, which is known as the Index of Severity in EoE (I-SEE), and outlines the elements within I-SEE and how to categorize EoE as mild, moderate, severe, or inactive. The domains of I-SEE include symptoms and complications, inflammatory features (both endoscopic and histologic), and fibrostenotic features (both endoscopic and histologic). The article also provides an update on emerging data related to I-SEE and discusses the future studies necessary to implement I-SEE as part of a treatment framework in EoE.

Identifiants

pubmed: 37772158
pmc: PMC10524433

Types de publication

Journal Article

Langues

eng

Pagination

457-462

Informations de copyright

Copyright © 2023, Gastro-Hep Communications, Inc.

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Auteurs

Evan S Dellon (ES)

Center for Esophageal Diseases and Swallowing, Division of Gastroenterology and Hepatology, Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, North Carolina.

Classifications MeSH