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.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117 Am+J+Gastroenterol
2015 ; 110
(9
): 1347-54
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A Clinical Prediction Tool Identifies Cases of Eosinophilic Esophagitis Without
Endoscopic Biopsy: A Prospective Study
#MMPMID26303128
Dellon ES
; Rusin S
; Gebhart JH
; Covey S
; Speck O
; Woodward K
; Higgins LL
; Beitia R
; Madanick RD
; Levinson S
; Woosley JT
; Shaheen NJ
Am J Gastroenterol
2015[Sep]; 110
(9
): 1347-54
PMID26303128
show ga
OBJECTIVES: Eosinophilic esophagitis (EoE) is difficult to distinguish from
gastroesophageal reflux (GERD) and other causes of dysphagia. We assessed the
utility of a set of clinical and endoscopic features for predicting EoE without
obtaining esophageal biopsies. METHODS: We prospectively enrolled consecutive
adults undergoing outpatient upper endoscopy at the University of North Carolina
from July 2011 through December 2013. Incident cases of EoE were diagnosed per
consensus guidelines. Non-EoE controls had either GERD- or dysphagia-predominant
symptoms. A predictive model containing clinical and endoscopic, but no
histological, data was assessed. Receiver operator characteristic curves were
constructed and the area under the curve (AUC) was calculated. RESULTS: A total
of 81 EoE cases (mean age 38 years; 60% male; 93% white; 141 eosinophils per
high-power field (eos/hpf)) and 144 controls (mean age 52, 38% male; 82% white; 3
eos/hpf) were enrolled. A combination of clinical (age, sex, dysphagia, food
allergy) and endoscopic (rings, furrows, plaques, hiatal hernia) features was
highly predictive of EoE. The AUC was 0.944, with sensitivity, specificity, and
accuracy of 84, 97, and 92%. Similar values were seen after limiting controls to
those with only reflux or dysphagia or to those with esophageal eosinophilia not
due to EoE. CONCLUSIONS: We validated a set of clinical and endoscopic features
to predict EoE with a high degree of accuracy and allow identification of those
at very low risk of disease. Use of these predictors at the point-of-care will
avoid the effort and expense of low-yield histological examinations for EoE.