在预测外科手术开放性大动脉手术发病率方面,MET水平得分优于并发病
Lorenzo Ciofani1, Pierfilippo Acciarri1, Roberta Ricci1
1Department of Surgery, Unit of Vascular Surgery, S. Anna University Hospital of Ferrara, and University of Ferrara, Ferrara, Italy.
Annals of vascular surgery
|November 15, 2025
概括
代谢等效任务 (METs) 评分是开放大动脉修复 (OAR) 后重大并发症和住院的更准确的预测指标,而不是血管外科学会 (SVS) 评分. 将MET与SVS得分相结合,进一步改善了对OAR结果的预测.
科学领域:
- 心血管外科心血管外科
- 手术结果研究研究.
- 医学中的预测分析.
背景情况:
- 评估患者的风险对于优化手术结果至关重要.
- 目前用于开放大动脉修复 (OAR) 的风险分层工具包括血管外科学会 (SVS) 的并发症评分.
- 对OAR结果的代谢等效任务 (METs) 评分的预测值需要进一步调查.
研究的目的:
- 为了比较METs得分和SVS并发症得分的预测性表现,用于OAR患者的术后结果.
- 评估OAR的MET和SVS得分的综合预测准确性.
- 确定OAR患者风险分层的最有效工具.
主要方法:
- 对169名接受选择性OAR (2018-2023) 的患者进行了回顾性分析.
- 主要结局:主要不良事件 (MAE),重症监护室 (ICU) 的入院,住院时间.
- 使用接收器操作特征 (ROC) 曲线和曲线下面面积 (AUC) 分析评估的预测性性能.
主要成果:
- 与SVS得分 (AUC 0.71) 相比,MET得分显示了MAE的优异歧视 (AUC 0.89).
- 组合的METs+SVS模型实现了MAE (0.91) 和ICU入院 (0.75) 的最高AUC.
- 基于METs的模型显示,在预测不良结果方面具有临床相关的优势.
结论:
- 与SVS得分相比,METs得分是主要并发症,ICU入院和OAR后长时间住院的更有效预测指标.
- 将MET与SVS得分相结合,可显著提高OAR中预测外科术后结果的准确性.
- 基于METs的风险分层为改善OAR患者管理提供了有价值的工具.
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