在内镜逆行胆大脑摄影中SASE,成功和不良事件得分:一种新的分级系统
Andreas Maieron1,2,3, Christine Duller4,5, Andreas Püspök6
1Karl Landsteiner University of Health Sciences, Dr. Karl-Dorrek-Straße 30, Krems, 3500, Austria. andreas.maieron@stpoelten.lknoe.at.
BMC gastroenterology
|September 15, 2023
概括
一个新的分级系统,SASE,准确地预测了内镜逆行胆瘤学 (ERCP) 的成功和不良事件. 该工具通过提供更完整的严重程度分类来改善手术前规划和内镜培训.
科学领域:
- 胃肠病学 胃肠病学
- 医疗器械 医疗器械
- 临床评估 临床评估
背景情况:
- 目前缺乏在内镜逆流胆大脑摄影 (ERCP) 中预程序复杂性的验证分级工具.
- 美国胃肠内镜学会 (ASGE) 的分类存在,但在预测ERCP复杂性方面存在局限性.
研究的目的:
- 开发和验证ERCP的新型分级系统,准确评估程序成功和不良事件.
- 解决现有的单因素分级系统在ERCP严重性分类方面的不足.
主要方法:
- 一项多中心,前性不受控制的研究收集了27个中心16327个ERCP程序的数据.
- 使用后勤回归分析来评估ASGE分类与ERCP成功和不良事件的对比.
- 一个新的双组件评分,SASE (成功和不良事件评分在内镜逆行胆瘤学),被开发和验证在一个单独的队列5,423程序.
主要成果:
- ASGE 分类在预测大多数复杂性参数方面存在局限性,在特定不良事件中发现了显著的差异.
- 根据临床情况观察到成功和风险概率的显著变化,需要双重得分.
- 在验证队列中,SASE得分实现了高预测准确度,正确预测治疗目标 (87.0%) 和ERCP后胰腺炎 (95.3%).
结论:
- 评级ERCP成功和不良事件应独立考虑,因为单因素系统是不完整的.
- 由于其高预测价值,SASE评分为增强ERCP规划和内镜培训提供了一个强有力的工具.
- 与现有的方法相比,SASE提供了更充分的ERCP严重性分类.
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