New York University Grossman School of Medicine, NYU Langone Health, 550 First Avenue, New York, NY, 10016, USA.
Division of Gastroenterology & Hepatology, Department of Medicine, Center for Esophageal Health, NYU Langone Health, New York, NY, USA.
Esophagus. 2024 Jul;21(3):397-404. doi: 10.1007/s10388-024-01057-9. Epub 2024 May 1.
BACKGROUND: High-resolution manometry (HRM) tools, like esophagogastric junction contractile integral (EGJ-CI), assess EGJ barrier function. GOALS: This study aimed to evaluate the relationships between manometric EGJ metrics with esophageal acid exposure. STUDY: We conducted a retrospective review of 284 patients who underwent HRM and ambulatory reflux testing between 11/2017-1/2020. EGJ-CI and total-EGJ-CI were manually calculated. Pathologic acid exposure was defined as pH < 4 with esophageal acid exposure time (EAET) exceeding 6.0%. Pearson's correlation, univariable and multivariable regression models were utilized to assess the relationships between pathologic acid exposure and EGJ parameters. Sensitivity and specificity thresholds for EGJ-CI and total EGJ-CI were optimized with ROC analyses. RESULTS: On univariable analysis, patients with pathologic acid exposure had increased odds of having lower mean basal LES pressures, EGJ-CI, and total EGJ-CI than patients without pathologic acid exposure. On multivariable analysis, age, EGJ-CI and mean DCI were significant predictors of pathologic acid exposure. There were significant, though weak, correlations between EAET and EGJ-CI and total EGJ-CI (r = - 0.18, - 0.19, p < 0.01, respectively). An EGJ-CI cutoff of 44.16 as a predictor for pathologic acid exposure had a sensitivity of 46% and specificity of 42% (AUC 0.60). Total EGJ-CI cutoff of 11,461.3 for pathologic acid exposure had a sensitivity of 44% and a specificity of 43% (AUC 0.62). CONCLUSION: EGJ-CI can independently predict pathologic acid exposure. However, the poor correlation between EGJ-CI and acid exposure, as well as the low sensitivity and specificity of calculated thresholds, indicate that mechanisms other than EGJ barrier function may impact acid exposure.
背景:高分辨率测压(HRM)工具,如食管胃结合部收缩积分(EGJ-CI),可评估食管胃结合部(EGJ)的屏障功能。 目的:本研究旨在评估测压法 EGJ 指标与食管酸暴露之间的关系。 研究:我们对 2017 年 11 月至 2020 年 1 月间接受 HRM 和动态反流测试的 284 例患者进行了回顾性分析。手动计算 EGJ-CI 和总 EGJ-CI。病理性酸暴露定义为 pH<4 且食管酸暴露时间(EAET)超过 6.0%。采用 Pearson 相关分析、单变量和多变量回归模型评估病理性酸暴露与 EGJ 参数之间的关系。采用 ROC 分析优化 EGJ-CI 和总 EGJ-CI 的截断值。 结果:单变量分析显示,病理性酸暴露患者的平均基础 LES 压力、EGJ-CI 和总 EGJ-CI 均低于无病理性酸暴露患者。多变量分析显示,年龄、EGJ-CI 和平均 DCI 是病理性酸暴露的显著预测因子。EAET 与 EGJ-CI 和总 EGJ-CI 之间存在显著但较弱的相关性(r= -0.18、-0.19,p<0.01)。EGJ-CI 截断值为 44.16 预测病理性酸暴露的敏感性为 46%,特异性为 42%(AUC 0.60)。总 EGJ-CI 截断值为 11461.3 预测病理性酸暴露的敏感性为 44%,特异性为 43%(AUC 0.62)。 结论:EGJ-CI 可独立预测病理性酸暴露。然而,EGJ-CI 与酸暴露之间的相关性较差,以及计算出的截断值的敏感性和特异性较低,表明除了 EGJ 屏障功能外,其他机制也可能影响酸暴露。
Neurogastroenterol Motil. 2017-12-21
Neurogastroenterol Motil. 2016-5
Neurogastroenterol Motil. 2018-4-11
BMC Gastroenterol. 2017-11-22
Aliment Pharmacol Ther. 2022-10
Arq Gastroenterol. 2020
Gut. 2018-2-3
Neurogastroenterol Motil. 2017-12-21
J Neurogastroenterol Motil. 2017-1-30
Neurogastroenterol Motil. 2015-10
Clin Gastroenterol Hepatol. 2014-4-12