Open Access

Predicting reflux symptom recurrence: The impact of gastroesophageal junction indicators and body mass index among outpatients

  • Authors:
    • Qing Wang
    • Junhui Lu
    • Yue Sui
    • Jing Fan
    • Jinnan Ren
    • Zhenzhen Wang
    • Xing Chen
  • View Affiliations

  • Published online on: May 31, 2023     https://doi.org/10.3892/etm.2023.12050
  • Article Number: 351
  • Copyright: © Wang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

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/m2. The multivariate prediction model constructed using the aforementioned four indicators together with chronic atrophic gastritis and Helicobacter pylori 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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July-2023
Volume 26 Issue 1

Print ISSN: 1792-0981
Online ISSN:1792-1015

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Spandidos Publications style
Wang Q, Lu J, Sui Y, Fan J, Ren J, Wang Z and Chen X: Predicting reflux symptom recurrence: The impact of gastroesophageal junction indicators and body mass index among outpatients. Exp Ther Med 26: 351, 2023
APA
Wang, Q., Lu, J., Sui, Y., Fan, J., Ren, J., Wang, Z., & Chen, X. (2023). Predicting reflux symptom recurrence: The impact of gastroesophageal junction indicators and body mass index among outpatients. Experimental and Therapeutic Medicine, 26, 351. https://doi.org/10.3892/etm.2023.12050
MLA
Wang, Q., Lu, J., Sui, Y., Fan, J., Ren, J., Wang, Z., Chen, X."Predicting reflux symptom recurrence: The impact of gastroesophageal junction indicators and body mass index among outpatients". Experimental and Therapeutic Medicine 26.1 (2023): 351.
Chicago
Wang, Q., Lu, J., Sui, Y., Fan, J., Ren, J., Wang, Z., Chen, X."Predicting reflux symptom recurrence: The impact of gastroesophageal junction indicators and body mass index among outpatients". Experimental and Therapeutic Medicine 26, no. 1 (2023): 351. https://doi.org/10.3892/etm.2023.12050