Author(s): Spergel JM, Andrews T, BrownWhitehorn TF, Beausoleil JL, Liacouras CA
Abstract Share this page
Abstract BACKGROUND: Eosinophilic esophagitis (EE) is a recently described disorder identified in patients with symptoms suggestive of gastroesophageal reflux disease (GERD) but unresponsive to conventional reflux therapies. Therapies have included corticosteroids, elemental diet, and diet restriction. We report our experience with skin prick and atopy patch testing and food elimination diets in patients diagnosed as having EE. OBJECTIVE: To identify food antigens that cause EE and the characteristics of patients who respond to food elimination vs those who are unresponsive. METHODS: Patients diagnosed as having EE had restricted diets based on skin prick and atopy patch testing results. Additional biopsies were performed after 4 to 8 weeks of restricted diet. Demographics, atopic tendencies, and food antigens were identified retrospectively in our food allergy database. RESULTS: A total of 146 patients diagnosed as having EE were evaluated with skin prick and atopy patch testing. Thirty-nine patients had unequivocal demonstration of food causing EE, with normalization of biopsy results on elimination and reoccurrence on reintroduction. An additional 73 patients, for a total 112 (77\%) of 146 patients, had resolution of their EE as demonstrated by biopsy results. Fifteen (10\%) of 146 patients were nonresponders manifested by no significant reduction in esophageal eosinophils despite restricted diet based on skin prick and atopy patch testing. Egg, milk, and soy were identified most frequently with skin prick testing, whereas corn, soy, and wheat were identified most frequently with atopy patch testing. CONCLUSION: In more than 75\% of patients with EE, both symptoms and esophageal inflammation can be significantly improved with dietary elimination of foods. Skin prick and atopy patch testing can help identify foods in most patients.
This article was published in Ann Allergy Asthma Immunol
and referenced in Journal of Proteomics & Bioinformatics