Ideal Timing of Discontinuation of Antiplatelet Agents Before Gastric Endoscopic Submucosal Dissection for Reducing Delayed Bleeding

Digestive diseases and sciences(2023)

引用 0|浏览9
暂无评分
摘要
Background and aims This study aimed to evaluate whether the use of antiplatelet agents increases the risk of bleeding after gastric endoscopic submucosal dissection (ESD) and to determine the appropriate time to discontinue antiplatelet agents to minimize complications. Methods This retrospective observational study utilized a collected dataset of patients who underwent ESD for gastric adenoma and cancer between January 2010 and December 2020. Patients were classified into three groups according to antiplatelet agent use and discontinuation status. We investigated the risk of post-ESD bleeding with different interruption times and antiplatelet agent types. Results Of 1879 patients, 1389 were non-users, 190 were in the continuous group, and 203 were in the interrupted group. The rates of overall and delayed bleeding were significantly higher in patients who continued or were interrupted within three days before ESD than in the non-users and interrupted group (6.3% vs. 1.2%, p < 0.001, 6.3% vs. 2.5%, p = 0.01, respectively). Significant differences in delayed bleeding between the continuous and interrupted groups decreased with longer cessation periods. In multivariate analysis, continuous antiplatelet agents were still the strongest risk factor for bleeding (OR 2.81, 95% CI 1.14–6.90). Lower third location and longer procedure times were also independent risk factors for post-ESD bleeding (OR 2.75; 95% CI 1.08–6.97; OR 1.02; 95% CI 1.01–1.02). Conclusion Continuous antiplatelet agent use increases the risk of delayed bleeding after gastric ESD. Therefore, the optimal timing of interruption, rather than the type of antiplatelet agent, should be considered to avoid an additional risk of bleeding and thromboembolism.
更多
查看译文
关键词
gastric endoscopic submucosal dissection,endoscopic submucosal dissection,delayed bleeding,antiplatelet agents
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