Division of Gastroenterology, Stanford University School of Medicine, Redwood City, California, USA.
Neurogastroenterol Motil. 2024 Dec;36(12):e14937. doi: 10.1111/nmo.14937. Epub 2024 Oct 6.
Understanding the relationship between distal contractile integral (DCI) and mean nocturnal baseline impedance (MNBI) could shed light on new diagnostic and treatment strategies, specifically concerning nocturnal reflux. This study aimed to assess this relationship to enhance our comprehension of the interplay between esophageal contractility and mucosal permeability.
We identified adult patients who had high resolution esophageal manometry and pH-impedance tests performed within a 30-day period between December 2018 and March 2022. A random forest model was used to identify significant predictors of MNBI, assisting with variable selection for a following regression analysis. Subsequently, both univariable and multivariable regression models were utilized to measure the association between predictors and MNBI.
Our study included 188 patients, primarily referred for testing due to reflux. The most common motility diagnoses were normal (62%) followed by possible esophagogastric junction outflow obstruction (22%). The mean DCI was 2020 mmHg∙s∙cm and MNBI was 3.05 kΩ. The random forest model identified 12 significant predictors for MNBI, key variables being acid exposure time (AET), total proximal reflux events, intraabdominal lower esophageal sphincter length, hiatal hernia presence, and DCI. Subsequent multivariable regression analyses demonstrated log AET (β = -0.69, p = <0.001), total proximal reflux events (β = -0.16, p = 0.008), hiatal hernia presence (β = -0.82, p = 0.014), log DCI (β = 1.26, p < 0.001), and age (β = -0.13, p = 0.036) as being significantly associated with MNBI.
DCI is a key manometric predictor of MNBI emphasizing the role of manometry in detecting reflux risk and the need for its consideration in reflux management.
了解远端收缩积分(DCI)与平均夜间基础阻抗(MNBI)之间的关系,可以为新的诊断和治疗策略提供线索,特别是针对夜间反流。本研究旨在评估这种关系,以增强我们对食管收缩性和黏膜通透性之间相互作用的理解。
我们确定了 2018 年 12 月至 2022 年 3 月期间在 30 天内接受高分辨率食管测压和 pH 阻抗测试的成年患者。使用随机森林模型来识别 MNBI 的显著预测因子,协助后续回归分析中的变量选择。随后,使用单变量和多变量回归模型来测量预测因子与 MNBI 之间的关联。
我们的研究纳入了 188 名患者,他们主要因反流而接受检查。最常见的运动障碍诊断是正常(62%),其次是可能的食管胃结合部流出道梗阻(22%)。平均 DCI 为 2020mmHg·s·cm,MNBI 为 3.05kΩ。随机森林模型确定了 12 个 MNBI 的显著预测因子,关键变量是酸暴露时间(AET)、总近端反流事件、腹腔内食管下括约肌长度、食管裂孔疝存在和 DCI。随后的多变量回归分析表明,logAET(β=-0.69,p<0.001)、总近端反流事件(β=-0.16,p=0.008)、食管裂孔疝存在(β=-0.82,p=0.014)、logDCI(β=1.26,p<0.001)和年龄(β=-0.13,p=0.036)与 MNBI 显著相关。
DCI 是 MNBI 的一个重要测压预测因子,强调了测压在检测反流风险中的作用,以及在反流管理中考虑测压的必要性。