视觉预测模型用于预测第一个食道水绑定后的再出血事件
Bingbing Li1, Yong Li1, Yu Peng1,2
1Department of Gastroenterology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Surgical endoscopy
|April 21, 2025
概括
这项研究确定了食道水的严重程度和血小板数量是内镜水绑定 (EVL) 后重新出血的关键风险因素. 开发了一种视觉预测模型,以改善食道水出血EVL后的患者管理和随访.
科学领域:
- 胃肠病学 胃肠病学
- 肝病学 肝病学是一种肝病学.
- 内镜手术是一种内镜手术.
背景情况:
- 顺序内镜性水结合 (EVL) 是食道水出血的标准.
- 不良的患者遵守可以降低EVL的有效性.
- 鉴定出血风险因素对于有效管理至关重要.
研究的目的:
- 确定初始EVL后再次出血的高风险因素.
- 开发一个可视预测模型来预测再出血风险.
- 加强患者的随访和教育策略.
主要方法:
- 对患者进行了回顾性研究首次EVL食道水出血.
- 从2017年1月到2023年1月收集的数据.
- 后勤回归用于识别风险因素并构建预测模型,在单独的队列上进行验证.
主要成果:
- 再出血率在6周内为34.8%,在EVL后6个月内为80.1%.
- 食道水的严重程度和血小板数量是再次出血的独立风险因素.
- 诺米图模型显示出高预测准确性 (AUC为0.942 6周,0.852 6个月).
结论:
- 开发了一个视觉预测模型,用于EVL后再出血风险.
- 该模型有助于评估食道水出血的风险.
- 优化临床决策和患者管理策略.
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