Suppr超能文献

基于无创脑自动调节的危重症患者个体化平均动脉压目标:一项范围综述

Individualized mean arterial pressure targets in critically ill patients guided by non-invasive cerebral-autoregulation: a scoping review.

作者信息

Xie Jiale, Carbonara Adam Renato, Al-Battashi Al-Waleed, Ross-White Amanda, Boyd J Gordon

机构信息

Department of Critical Care Medicine, Queen's University, Kingston, ON, Canada.

Queen's University Library, Queen's University, Kingston, ON, Canada.

出版信息

Crit Care. 2025 May 16;29(1):196. doi: 10.1186/s13054-025-05432-5.

Abstract

BACKGROUND

Current guidelines recommend a uniform mean arterial pressure (MAP) target for resuscitating critically ill patients; for example, 65 mmHg for patients with sepsis and post-cardiac arrest. However, since cerebral autoregulation capacity likely varies widely in patients, uniform target may be insufficient in maintaining cerebral perfusion. Personalized MAP targets, based on a non-invasive determination of cerebral autoregulation, may optimize perfusion and reduce complications.

OBJECTIVES

This scoping review summarizes the numerical values, feasibility, and clinical data on personalized MAP targets in critically ill patients. The focus is on non-invasive monitoring, such as near-infrared spectroscopy and transcranial doppler ultrasound, due to their safety, practicality and applicability to patients with- and without brain injury.

METHODS

Following PRISMA-ScR guidelines, a systematic search of Ovid MedLine, Embase (Ovid), and the Cochrane Library (Wiley) was conducted on September 28, 2023. Two independent reviewers screened titles, abstracts, and full texts for eligibility and manually reviewed references.

RESULTS

Of 7,738 studies were identified, 49 met the inclusion criteria. Of these, 45 (92%) were observational and 4 (8%) were interventional. Patient populations included cardiac surgery (26, 53%), non-cardiac major surgery (4, 8%), cardiac arrest (8, 16%), brain injury (7, 14%), respiratory failure and shock (3, 6%), and sepsis (3, 6%). Optimal MAP was reported in 24 (49%), lower limit of autoregulation in 23 (47%), and upper limit of autoregulation in 10 studies (20%). Thirty-four studies reported partial data loss due to software failures, anomalous data, insufficient natural MAP fluctuation, and workflow barriers. Available randomized controlled trials (RCT) identified challenges with maintaining patients within their target range. Studies explored the associations between personalized MAP targets and a wide range of neurological and non-neurological outcomes, with the most significant and consistent associations identified for acute kidney injury and major morbidity and mortality. Ten studies investigated demographic predictors identifying only few predictors of personalized targets.

CONCLUSION

Preliminary investigations suggest considerable variability in personalized MAP targets, which may explain differences in clinical outcomes among critically ill populations. Key gaps remain, including a lack of observational studies in critically ill subpopulations other than cardiac surgery and well-designed RCTs. Resolving identified feasibility barriers might be crucial to successfully carrying out future studies.

摘要

背景

当前指南建议为重症患者复苏设定统一的平均动脉压(MAP)目标;例如,脓毒症和心脏骤停后患者的目标为65mmHg。然而,由于患者的脑自动调节能力可能差异很大,统一目标可能不足以维持脑灌注。基于无创测定脑自动调节的个性化MAP目标可能会优化灌注并减少并发症。

目的

本综述总结了重症患者个性化MAP目标的数值、可行性和临床数据。重点是无创监测,如近红外光谱和经颅多普勒超声,因其安全性、实用性以及对有无脑损伤患者的适用性。

方法

按照PRISMA-ScR指南,于2023年9月28日对Ovid MedLine、Embase(Ovid)和Cochrane图书馆(Wiley)进行了系统检索。两名独立评审员筛选标题、摘要和全文以确定是否符合纳入标准,并人工查阅参考文献。

结果

在检索到的7738项研究中,49项符合纳入标准。其中,45项(92%)为观察性研究,4项(8%)为干预性研究。患者群体包括心脏手术(26项,53%)、非心脏大手术(4项,8%)、心脏骤停(8项,16%)、脑损伤(7项,14%)、呼吸衰竭和休克(3项,6%)以及脓毒症(3项,6%)。24项研究(49%)报告了最佳MAP,23项研究(47%)报告了自动调节下限,10项研究(20%)报告了自动调节上限。34项研究报告由于软件故障、异常数据、自然MAP波动不足和工作流程障碍导致部分数据丢失。现有的随机对照试验(RCT)发现维持患者在目标范围内存在挑战。研究探讨了个性化MAP目标与广泛的神经和非神经结局之间的关联,其中急性肾损伤以及主要发病率和死亡率的关联最为显著且一致。10项研究调查了人口统计学预测因素,仅发现少数个性化目标预测因素。

结论

初步调查表明个性化MAP目标存在相当大的变异性,这可能解释了重症患者群体临床结局的差异。关键差距仍然存在,包括除心脏手术外的其他重症亚群缺乏观察性研究以及设计良好的RCT。解决已确定的可行性障碍可能对成功开展未来研究至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09db/12084981/62ae3007a633/13054_2025_5432_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验