Suppr超能文献

临床综述:心率变异性的评估与分析及其在感染的诊断和预后中的作用

Clinical review: a review and analysis of heart rate variability and the diagnosis and prognosis of infection.

机构信息

Ottawa Hospital Research Institute, Ottawa, Ontario, K1Y 4E9, Canada.

出版信息

Crit Care. 2009;13(6):232. doi: 10.1186/cc8132. Epub 2009 Nov 24.

Abstract

Bacterial infection leading to organ failure is the most common cause of death in critically ill patients. Early diagnosis and expeditious treatment is a cornerstone of therapy. Evaluating the systemic host response to infection as a complex system provides novel insights: however, bedside application with clinical value remains wanting. Providing an integrative measure of an altered host response, the patterns and character of heart rate fluctuations measured over intervals-in-time may be analysed with a panel of mathematical techniques that quantify overall fluctuation, spectral composition, scale-free variation, and degree of irregularity or complexity. Using these techniques, heart rate variability (HRV) has been documented to be both altered in the presence of systemic infection, and correlated with its severity. In this review and analysis, we evaluate the use of HRV monitoring to provide early diagnosis of infection, document the prognostic implications of altered HRV in infection, identify current limitations, highlight future research challenges, and propose improvement strategies. Given existing evidence and potential for further technological advances, we believe that longitudinal, individualized, and comprehensive HRV monitoring in critically ill patients at risk for or with existing infection offers a means to harness the clinical potential of this bedside application of complex systems science.

摘要

细菌感染导致器官衰竭是危重病患者死亡的最常见原因。早期诊断和迅速治疗是治疗的基石。评估感染时的全身宿主反应作为一个复杂系统提供了新的见解:然而,具有临床价值的床边应用仍有待实现。心率波动的模式和特征可以通过一系列数学技术进行分析,这些技术可以量化整体波动、频谱组成、无标度变化以及不规则或复杂性程度,为改变的宿主反应提供综合测量。使用这些技术,已经记录到心率变异性(HRV)在存在全身感染时发生改变,并与感染的严重程度相关。在这篇综述和分析中,我们评估了使用 HRV 监测来提供感染的早期诊断,记录改变的 HRV 在感染中的预后意义,确定当前的局限性,强调未来的研究挑战,并提出改进策略。鉴于现有证据和进一步技术进步的潜力,我们认为对有感染风险或已有感染的危重病患者进行纵向、个体化和全面的 HRV 监测为利用这一床边复杂系统科学应用的临床潜力提供了一种手段。

相似文献

2
Complex systems and the technology of variability analysis.
Crit Care. 2004 Dec;8(6):R367-84. doi: 10.1186/cc2948. Epub 2004 Sep 22.
3
Novel method to quantify loss of heart rate variability in pediatric multiple organ failure.
Crit Care Med. 2003 Jul;31(7):2059-67. doi: 10.1097/01.CCM.0000069539.65980.58.
4
Heart rate variability in critical illness and critical care.
Curr Opin Crit Care. 2002 Aug;8(4):311-5. doi: 10.1097/00075198-200208000-00007.
5
Heart rate variability in critical care medicine.
Curr Opin Crit Care. 2002 Oct;8(5):371-5. doi: 10.1097/00075198-200210000-00002.
6
Continuous multiorgan variability analysis to track severity of organ failure in critically ill patients.
J Crit Care. 2013 Oct;28(5):879.e1-11. doi: 10.1016/j.jcrc.2013.04.001. Epub 2013 May 29.
8
Real-time monitoring of heart rate variability in critically ill patients.
J Crit Care. 2010 Jun;25(2):313-6. doi: 10.1016/j.jcrc.2009.06.047. Epub 2009 Sep 24.

引用本文的文献

2
Heart rate variability in patients with atrial fibrillation of sinus rhythm or atrial fibrillation: chaos or merit?
Ann Med. 2025 Dec;57(1):2478474. doi: 10.1080/07853890.2025.2478474. Epub 2025 Mar 13.
3
Mathematical model of the inflammatory response to acute and prolonged lipopolysaccharide exposure in humans.
NPJ Syst Biol Appl. 2024 Dec 5;10(1):146. doi: 10.1038/s41540-024-00473-y.
7
COVID-19 surveillance based on consumer wearable devices.
Digit Health. 2024 Apr 24;10:20552076241247374. doi: 10.1177/20552076241247374. eCollection 2024 Jan-Dec.
8
Machine learning-based clinical decision support for infection risk prediction.
Front Med (Lausanne). 2023 Dec 18;10:1213411. doi: 10.3389/fmed.2023.1213411. eCollection 2023.
9
Prognostic implications of ultra-short heart rate variability indices in hospitalized patients with infective endocarditis.
PLoS One. 2023 Jun 23;18(6):e0287607. doi: 10.1371/journal.pone.0287607. eCollection 2023.

本文引用的文献

1
Continuous multi-parameter heart rate variability analysis heralds onset of sepsis in adults.
PLoS One. 2009 Aug 14;4(8):e6642. doi: 10.1371/journal.pone.0006642.
3
Sepsis strategies in development.
Clin Chest Med. 2008 Dec;29(4):735-47, x-xi. doi: 10.1016/j.ccm.2008.06.007.
5
Usefulness of procalcitonin serum level for the discrimination of severe sepsis from sepsis: a multicenter prospective study.
J Infect Chemother. 2008 Jun;14(3):244-9. doi: 10.1007/s10156-008-0608-1. Epub 2008 Jun 24.
6
Sepsis biomarkers.
Am J Med. 2008 Jun;121(6):e11; author reply e13. doi: 10.1016/j.amjmed.2007.12.009.
8
Procalcitonin for early diagnosis and differentiation of SIRS, sepsis, severe sepsis, and septic shock.
Intensive Care Med. 2000 Mar;26 Suppl 2:S148-52. doi: 10.1007/BF02900728.
9
B-type natriuretic peptide: a biomarker for the diagnosis and risk stratification of patients with septic shock.
Arch Surg. 2008 Mar;143(3):242-6; discussion 246. doi: 10.1001/archsurg.2007.69.
10
Characteristics of heart rate variability can predict impending septic shock in emergency department patients with sepsis.
Acad Emerg Med. 2007 May;14(5):392-7. doi: 10.1197/j.aem.2006.12.015. Epub 2007 Mar 26.

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