首页|基于机器学习的低血压预测指数指导术中血压管理的研究进展

基于机器学习的低血压预测指数指导术中血压管理的研究进展

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术中低血压与术后不良预后密切相关.基于机器学习的低血压预测指数(HPI)利用有创和无创血压监测在非心脏和心脏手术中可以预测低血压,使术中血压管理由被动处理转变为预防性的主动控制.HPI的血流动力学管理减少了术中低血压的发生.本文从HPI概述、HPI有创和无创血压监测在手术中的应用以及HPI的局限性等方面进行综述.
Research progress on intraoperative blood pressure management guided by hypotension prediction index based on machine learning
Intraoperative hypotension is closely associated with postoperative poor prognosis.Machine learning hypotension predictive index(HPI)based on invasive and non-invasive blood pressure monitoring can predict hypotension in non-cardiac and cardiac surgery,which makes blood pressure manage-ment from passive processing to preventive active control.Hemodynamic management based on HPI reduces the occurrence of hypotension in surgery.In this artical,the introduction of HPI,the application of HPI in-vasive and non-invasive blood pressure monitoring in surgery,and the limitations of HPI are reviewed.

Machine learningHypotension prediction indexBlood pressure management

许琳涓、李轶、谢建琴

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730030 兰州大学第二医院麻醉科

机器学习 低血压预测指数 血压管理

甘肃省自然科学基金兰州大学第二医院"萃英科技创新"计划

22JR5RA1004CY2020-MS18

2024

临床麻醉学杂志
中华医学会南京分会

临床麻醉学杂志

CSTPCD北大核心
影响因子:2.225
ISSN:1004-5805
年,卷(期):2024.40(9)