The present study aimed to evaluate the efficacy of the prediction model in predicting reflux symptom recurrence among outpatients with reflux esophagitis (RE). A total of 261 outpatients diagnosed with RE complicated by anatomical alterations at the gastroesophageal junction and reflux symptoms were included in the study. Through follow-up, patients were divided into a General group (149 cases) and a Recurrent group (112 cases). Receiver operating characteristic curves of the related factors and prediction model were analyzed to compare the efficacy of each element in predicting reflux recurrence. A prediction model was constructed for predicting reflux recurrence using the axial length of the hiatal hernia (HH), the diameter of the esophageal hiatus, Hill classification, and body mass index (BMI) as risk factors. The cutoff values of the aforementioned factors for predicting reflux recurrence were: an axial length of HH >2 cm, esophageal hiatus diameter ≥3 cm, Hill grade >III, and BMI >25.1 kg/m. The multivariate prediction model constructed using the aforementioned four indicators together with chronic atrophic gastritis and infection had the area under the curve of 0.801 (95% confidence interval: 0.748-0.854), and the cutoff value of 46.8 had a sensitivity and specificity of 71.4% and 75.8%, respectively. The predictive model in the present study can be used for the primary assessment of reflux recurrence in patients with RE.
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http://dx.doi.org/10.3892/etm.2023.12050 | DOI Listing |
J Neurogastroenterol Motil
January 2025
Division of Gastroenterology, Taichung Veterans General Hospital, Taichung, Taiwan.
Background/aims: Distal mean nocturnal baseline impedance (MNBI) measuring via pH-impedance may be valuable in diagnosing patients with suspected laryngopharyngeal reflux (LPR). However, its wide adoption is hindered by cost and invasiveness. This study investigates whether baseline impedance measured during high-resolution impedance manometry (HRIM-BI) can predict pathological MNBI.
View Article and Find Full Text PDFRheumatology (Oxford)
January 2025
Department of Rheumatology, University Hospital Zurich and University of Zurich, Zurich, Switzerland.
Objectives: Gastroesophageal reflux disease (GERD) is frequent in systemic sclerosis (SSc) and could predict progression of interstitial lung disease (ILD). We aimed to analyse (1) the prevalence of GERD among SSc-ILD patients, (2) its association with disease characteristics and (3) predictive factors for ILD progression in SSc-ILD patients with GERD.
Methods: SSc patients from the EUSTAR database with ILD were included.
Scand J Gastroenterol
January 2025
Department of Gastroenterology and Hepatology, Zhongshan Hospital, Fudan University, Xiamen Branch, Xiamen, China.
Background: Evaluate the clinical significance of esophagogastric junction (EGJ) morphology and esophagogastric junction contractile integral (EGJ-CI) in refractory gastroesophageal reflux disease (RGERD) patients.
Methods: From June 2021 to June 2023, 144 RGERD patients underwent comprehensive evaluation, recording symptom scores, demographic data. GERD classification (NERD or RE, A-D) was based on endoscopic findings.
Cancer Diagn Progn
January 2025
Department of Breast and Endocrine Surgery, Mitsui Memorial Hospital, Tokyo, Japan.
Neurogastroenterol Motil
January 2025
Division of Gastroenterology, University of Pisa, Pisa, Italy.
Introduction: High-resolution manometry (HRM) allows assessment of esophagogastric junction (EGJ) disruption. While type 3 EGJ predicts definitive gastroesophageal reflux disease (GERD), type 2 EGJ is less clearly implicated in GERD pathogenesis. This study aimed to characterize physiologic findings in type 2 EGJ to determine if the HRM-based Milan Score can define GERD within type 2 EGJ.
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