Delayed Gastric Emptying After Sleeve Gastrectomy Is Associated with Poor Weight Loss

Obesity surgery(2022)

引用 4|浏览17
暂无评分
摘要
Background Intermediate to long-term weight regain is a major challenge following sleeve gastrectomy (SG). Physiological changes that mediate the extent of weight loss remain unclear. We aimed to determine if there were specific esophago-gastric transit and emptying alterations associated with weight regain. Material and Methods Participants greater than 12 months post-SG were categorized into optimal ( n = 29) and poor weight loss (PWL) ( n = 72). All patients underwent a liquid contrast barium swallow demonstrating normal post-surgical anatomy and a protocolized nuclear scintigraphy designed specifically to characterize gastric emptying following SG. Results The %total weight loss in the optimal group was 26.2 ± 10.5 vs. 14.3 ± 8.8% in the PWL group ( p = 0.001). Scintigraphy showed PWL had relatively increased gastric emptying half-time (GE 1/2t ) 35 (IQR 23) min vs 19 (IQR 5.5) min ( p = 0.001). The multivariate regressions delineated GE 1/2t as the best diagnostic measure for PWL (OR 1.16; CI 1.04–1.29, p -value 0.021). The probability of PWL increased by 16% for every 1-min increase above 21 min of GE 1/2t . A threshold of 21 min was found to have 88% sensitivity and 69% specificity predicting poor weight loss. Conclusion Gastric emptying half-times greater than 21 min appear to reliably correlate with poor weight loss following SG. Additionally, further elevations above 21 min in emptying half-time increase the risk of poor weight loss. We have shown nuclear scintigraphy represents a simple and accurate diagnostic tool in patients who experience poor weight loss after SG, provided substantially altered reporting references in interpreting nuclear scintigraphy are applied. Graphical abstract
更多
查看译文
关键词
Bariatric outcome,Bariatric surgery mechanism,Clinical trial,Complications,Diagnostic test,Gastric emptying,Nuclear scintigraphy,Physiological failure,Physiology,Reflux,Sleeve,Weight regain
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要