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在手术后心脏增强恢复途径中,先进的人工智能引导的血液动力学管理:多机构审查
V Seenu Reddy1, David M Stout2, Robert Fletcher3
1Cardiothoracic Surgery, TriStar Centennial Medical Center, Nashville, Tenn.
JTCVS open
|January 11, 2024
概括
将人工智能引导的血液动力学管理集成到心脏手术恢复途径中,减少了重症监护室停留时间和通风时间. 这种人工智能工具在现实世界中改善了患者的治疗结果.
科学领域:
- 心血管外科心血管外科
- 关键护理医学 关键护理医学
- 人工智能在医学中的应用
背景情况:
- 增强恢复途径 (ERP) 旨在优化手术后患者的治疗结果.
- 血液动力学管理对于心脏手术患者至关重要.
- 将先进的工具集成到ERP中可以进一步改善护理.
研究的目的:
- 评估在心脏ERP中使用低血压预测指数 (HPI) 引导的血液动力学管理的早期结果.
- 评估对重症监护室 (ICU) 停留时间和初始通风时间的影响.
主要方法:
- 一个多中心,历史控制,观察性研究,比较计划前 (2019年) 和计划 (2021年) 期间.
- 包括心脏手术病例,不包括重复手术,紧急手术或需要机械辅助的手术.
- 分析了ICU停留时间,急性损伤 (AKI) 和使用统计回归模型的通风时间.
主要成果:
- 总共分析了1404个病例 (795个计划前,609个计划).
- 发现ICU停留时间 (6.8小时,P=0.08) 和通风时间 (4.4小时,P=0.03) 的减少.
- 在这些时期之间,对于急性损伤阶段,没有发现显著的关联.
结论:
- 集成到心脏ERP中的AI引导的血液动力学管理减少了非紧急心脏手术患者的ICU时间.
- 这种方法在现实世界的临床环境中证明了其有效性.
- 进一步的研究可能会探索更广泛的应用和长期益处.
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