Department of Gastroenterology and Hepatology, First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Department of Medicine, The Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Neurogastroenterol Motil. 2018 Sep;30(9):e13344. doi: 10.1111/nmo.13344. Epub 2018 Apr 11.
We recently developed 2 novel 3D high-resolution manometry (HRM) metrics of esophagogastric junction (EGJ) contractility to differentiate the lower esophageal sphincter (LES) and crural diaphragm (CD) elements of EGJ pressure. This study aimed to compare these metrics to the EGJ-contractile integral (EGJ-CI) and to analyze their correlation with esophageal acid exposure time (AET) on pH-metry.
Thirty-one gastro-oesophageal reflux disease (GERD) patients and 20 control subjects underwent 24-hour pH-metry and HRM using a 3D-HRM catheter. EGJ metrics were calculated during 3 consecutive respiratory cycles at rest. The EGJ-CI was calculated using the DCI tool in the ManoView software. 3D LES pressure (3D-LESP) and 3D-DHA, a metric quantifying the CD component of the 3D-HRM pressure topography, were calculated using a MATLAB program. Pearson correlation was used to calculate correlations with AET.
3D-LESP, 3D-DHA, and EGJ-CI were all significantly lower in GERD patients than in control subjects (P < .05) and all were significantly correlated with AET (R = -.48, -.42, -.52, respectively, all P < .01). The 3D-DHA and EGJ-CI also strongly correlated with each other (R = .84, P < .001).
CONCLUSIONS & INFERENCES: Both 3D-EGJ metrics were correlated with AET emphasizing the importance of both LES and CD function as a determinant of EGJ competence. 3D-DHA also strongly correlated with the EGJ-CI suggesting that EGJ-CI is strongly driven by the asymmetrical CD pressure component.
我们最近开发了两种新型的食管胃结合部(EGJ)收缩的 3D 高分辨率测压(HRM)指标,以区分食管下括约肌(LES)和膈脚(CD)在 EGJ 压力中的作用。本研究旨在比较这些指标与 EGJ 收缩积分(EGJ-CI)的相关性,并分析它们与 pH 测压中食管酸暴露时间(AET)的相关性。
31 例胃食管反流病(GERD)患者和 20 例对照者接受了 24 小时 pH 测压和 3D-HRM 检查,使用 3D-HRM 导管。在休息时连续 3 个呼吸周期计算 EGJ 指标。使用 ManoView 软件中的 DCI 工具计算 EGJ-CI。使用 MATLAB 程序计算 3D LES 压力(3D-LESP)和 3D-DHA,这是一种量化 3D-HRM 压力图中 CD 成分的指标。采用 Pearson 相关分析计算与 AET 的相关性。
与对照组相比,GERD 患者的 3D-LESP、3D-DHA 和 EGJ-CI 均显著降低(P<.05),且均与 AET 显著相关(R=-.48、-.42、-.52,均 P<.01)。3D-DHA 和 EGJ-CI 之间也有很强的相关性(R=.84,P<.001)。
这两种 3D-EGJ 指标均与 AET 相关,强调了 LES 和 CD 功能作为 EGJ 功能的决定因素的重要性。3D-DHA 与 EGJ-CI 也有很强的相关性,提示 EGJ-CI 主要受不对称 CD 压力成分的驱动。