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Predicting reflux symptom recurrence: The impact of gastroesophageal junction indicators and body mass index among outpatients
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 wer...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10265715/ https://www.ncbi.nlm.nih.gov/pubmed/37324506 http://dx.doi.org/10.3892/etm.2023.12050 |
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author | Wang, Qing Lu, Junhui Sui, Yue Fan, Jing Ren, Jinnan Wang, Zhenzhen Chen, Xing |
author_facet | Wang, Qing Lu, Junhui Sui, Yue Fan, Jing Ren, Jinnan Wang, Zhenzhen Chen, Xing |
author_sort | Wang, Qing |
collection | PubMed |
description | 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(2). 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. |
format | Online Article Text |
id | pubmed-10265715 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | D.A. Spandidos |
record_format | MEDLINE/PubMed |
spelling | pubmed-102657152023-06-15 Predicting reflux symptom recurrence: The impact of gastroesophageal junction indicators and body mass index among outpatients Wang, Qing Lu, Junhui Sui, Yue Fan, Jing Ren, Jinnan Wang, Zhenzhen Chen, Xing Exp Ther Med Articles 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(2). 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. D.A. Spandidos 2023-05-31 /pmc/articles/PMC10265715/ /pubmed/37324506 http://dx.doi.org/10.3892/etm.2023.12050 Text en Copyright: © Wang et al. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
spellingShingle | Articles Wang, Qing Lu, Junhui Sui, Yue Fan, Jing Ren, Jinnan Wang, Zhenzhen Chen, Xing Predicting reflux symptom recurrence: The impact of gastroesophageal junction indicators and body mass index among outpatients |
title | Predicting reflux symptom recurrence: The impact of gastroesophageal junction indicators and body mass index among outpatients |
title_full | Predicting reflux symptom recurrence: The impact of gastroesophageal junction indicators and body mass index among outpatients |
title_fullStr | Predicting reflux symptom recurrence: The impact of gastroesophageal junction indicators and body mass index among outpatients |
title_full_unstemmed | Predicting reflux symptom recurrence: The impact of gastroesophageal junction indicators and body mass index among outpatients |
title_short | Predicting reflux symptom recurrence: The impact of gastroesophageal junction indicators and body mass index among outpatients |
title_sort | predicting reflux symptom recurrence: the impact of gastroesophageal junction indicators and body mass index among outpatients |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10265715/ https://www.ncbi.nlm.nih.gov/pubmed/37324506 http://dx.doi.org/10.3892/etm.2023.12050 |
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