Reflux Hypersensitivity: How to Approach Diagnosis and Management.

Esophagus Gastroesophageal reflux disease (GERD) Heartburn Hypersensitivity Non-erosive reflux disease (NERD) Reflux

Journal

Current gastroenterology reports
ISSN: 1534-312X
Titre abrégé: Curr Gastroenterol Rep
Pays: United States
ID NLM: 100888896

Informations de publication

Date de publication:
10 Jul 2020
Historique:
entrez: 12 7 2020
pubmed: 12 7 2020
medline: 4 5 2021
Statut: epublish

Résumé

This paper aims to review the definition and diagnostic criteria for reflux hypersensitivity and comment on the present and future management of this condition. In 2016, the Rome IV criteria redefined reflux hypersensitivity as characterized by typical reflux symptoms, absence of endoscopic mucosal disease, absence of pathologic gastroesophageal reflux, and positive symptom correlation between reflux and heartburn episodes. Though uncertain, TPRV1 receptors have been implicated in the pathophysiology of reflux hypersensitivity. Recent studies have shown neuromodulators like SSRIs, SNRIs, and TCAs may be the future of managing this condition. With the release of the Rome IV criteria and availability of continuous pH monitoring, the diagnosis of reflux hypersensitivity has become more streamlined. Though there is no definitive therapy for reflux hypersensitivity, several anti-secretory agents and neuromodulators have shown some efficacy in therapeutic trials. The lack of large-scale, randomized controlled trials, however, reinforces the need for further research into the pharmacotherapy of reflux hypersensitivity.

Identifiants

pubmed: 32651667
doi: 10.1007/s11894-020-00779-x
pii: 10.1007/s11894-020-00779-x
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

42

Auteurs

Pankaj Aggarwal (P)

University of Texas Health Science Center San Antonio, San Antonio, TX, USA.

Afrin N Kamal (AN)

Division of Gastroenterology, Stanford University, 420 Broadway Street, Pavilion D, Redwood City, CA, 94063, USA. KamalA@stanford.edu.

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Classifications MeSH