Usefulness of ultrasonographic evaluation of stool and/or gas distribution for the treatment strategy of chronic constipation

超声评估粪便和/或气体分布在慢性便秘治疗策略中的应用价值

阅读:1

Abstract

BACKGROUND AND AIM: This study aimed to evaluate the capability of ultrasonography to predict favorable outcomes of various medical therapies in patients with chronic constipation. METHODS: We enrolled 223 patients with chronic constipation (75 men, 148 women; mean age 62.9 ± 3.4 years). Transverse diameters of four segments of the colon (ascending [A], transverse [T], descending [D], sigmoid [S]), and the rectum [R]) were measured. The patients' stool and/or gas distribution was evaluated using the constipation index (CI) ([A + T + D + S + R]/5) and the left/right distribution ratio ([D + S]/[A + T]) according to our previous study. Patients were first treated with fiber- or osmosis-based laxatives for 2 weeks. When constipation was not alleviated, stimulant-based laxatives were added, and the patients were followed for another 2 weeks. RESULTS: Based on their clinical courses, patients were divided into four groups: nonresponders (group A) or responders (group B) to fiber- or osmosis-based laxatives; nonresponders to any medical therapy (group C); and responders to stimulant-based laxatives (group D). The CI was significantly higher in group A than group B (P < 0.05), with the receiver operating characteristic (ROC) curve analysis showing a CI cut-off of 21.2 for predicting favorable outcomes of either fiber- or osmosis-based laxatives (P < 0.05). Left/right distribution ratio was significantly lower in group C than group D (P < 0.05), and the ROC curve analysis showed a left/right cut-off of 0.5 for predicting responders to stimulant-based laxatives (P < 0.05). CONCLUSION: These findings could help physicians predict favorable outcomes with laxatives without side effects for this patient population.

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。