临床麻醉学杂志2024,Vol.40Issue(9) :966-970.DOI:10.12089/jca.2024.09.013

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

Research progress on intraoperative blood pressure management guided by hypotension prediction index based on machine learning

许琳涓 李轶 谢建琴
临床麻醉学杂志2024,Vol.40Issue(9) :966-970.DOI:10.12089/jca.2024.09.013

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

Research progress on intraoperative blood pressure management guided by hypotension prediction index based on machine learning

许琳涓 1李轶 1谢建琴1
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作者信息

  • 1. 730030 兰州大学第二医院麻醉科
  • 折叠

摘要

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.

Abstract

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.

关键词

机器学习/低血压预测指数/血压管理

Key words

Machine learning/Hypotension prediction index/Blood pressure management

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基金项目

甘肃省自然科学基金(22JR5RA1004)

兰州大学第二医院"萃英科技创新"计划(CY2020-MS18)

出版年

2024
临床麻醉学杂志
中华医学会南京分会

临床麻醉学杂志

CSTPCDCSCD北大核心
影响因子:2.225
ISSN:1004-5805
参考文献量37
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