Predictors of Gastrointestinal Transit Times in Colon Capsule Endoscopy

结肠胶囊内镜检查中胃肠道转运时间的预测因素

阅读:1

Abstract

INTRODUCTION: Optimizing the accuracy of colon capsule endoscopy (CCE) requires high completion rates. To prevent incomplete CCE, we aimed to identify predictors associated with slow CCE transit times. METHODS: In this population-based study, participants received CCE with a split-dose polyethylene glycol bowel preparation and booster regimen (0.5 L oral sulfate solution and 10 mg metoclopramide if capsule remained in stomach for > 1 hour). The following predictors were assessed: age, sex, body mass index (BMI), smoking, coffee and fiber intake, diet quality, physical activity, dyspeptic complaints, stool pattern, history of abdominal surgery, medication use, and CCE findings. Multivariable logistic and linear regressions with backward elimination were performed. RESULTS: We analyzed 451 CCE procedures with a completion rate of 51.9%. The completion rate was higher among older participants (odds ratio [OR] 1.54, 95% confidence interval [CI] 1.04-2.28, P = 0.03) and participants with a changed stool pattern (OR 2.27, 95% CI 1.20-4.30, P = 0.01). Participants with a history of abdominal surgery had a lower completion rate (OR 0.54, 95% CI 0.36-0.80, P = 0.003). Participants with higher BMI had faster stomach, small bowel, and total transit times (β = -0.10, P = 0.01; β = -0.14, P = 0.001; β = -0.12, P = 0.01). A faster small bowel transit was found in participants with a changed stool pattern (β = -0.08, P = 0.049) and the use of metoclopramide (β = -0.14, P = 0.001). Participants with high fiber intake had a slower colonic transit (β = 0.11, P = 0.03). DISCUSSION: Younger age, unchanged stool pattern, history of abdominal surgery, low BMI, and high fiber intake resulted in slower CCE transit times and lower completion rates. In future practice, these factors can be considered to adjust preparation protocols.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。