Intensive Care Unit, Alexandroupolis General Hospital, Democritus University of Thrace Alexandroupolis, Greece.
Front Physiol. 2013 Jul 10;4:174. doi: 10.3389/fphys.2013.00174. eCollection 2013.
Many experimental and clinical studies have confirmed a continuous cross-talk between both sympathetic and parasympathetic branches of autonomic nervous system and inflammatory response, in different clinical scenarios. In cardiovascular diseases, inflammation has been proven to play a pivotal role in disease progression, pathogenesis and resolution. A few clinical studies have assessed the possible inter-relation between neuro-autonomic output, estimated with heart rate variability analysis, which is the variability of R-R in the electrocardiogram, and different inflammatory biomarkers, in patients suffering from stable or unstable coronary artery disease (CAD) and heart failure. Moreover, different indices derived from heart rate signals' processing, have been proven to correlate strongly with severity of heart disease and predict final outcome. In this review article we will summarize major findings from different investigators, evaluating neuro-immunological interactions through heart rate variability analysis, in different groups of cardiovascular patients. We suggest that markers originating from variability analysis of heart rate signals seem to be related to inflammatory biomarkers. However, a lot of open questions remain to be addressed, regarding the existence of a true association between heart rate variability and autonomic nervous system output or its adoption for risk stratification and therapeutic monitoring at the bedside. Finally, potential therapeutic implications will be discussed, leading to autonomic balance restoration in relation with inflammatory control.
许多实验和临床研究已经证实,在不同的临床情况下,自主神经系统的交感和副交感分支与炎症反应之间存在持续的相互作用。在心血管疾病中,炎症已被证明在疾病进展、发病机制和消退中起着关键作用。一些临床研究已经评估了神经自主输出与不同炎症生物标志物之间的可能相互关系,神经自主输出是通过心率变异性分析来估计的,心率变异性分析是心电图中 R-R 间期的变异性。在患有稳定或不稳定型冠状动脉疾病(CAD)和心力衰竭的患者中。此外,从心率信号处理中得出的不同指数已被证明与心脏病的严重程度密切相关,并可预测最终结果。在这篇综述文章中,我们将总结不同研究人员的主要发现,通过心率变异性分析评估心血管病患者群体中的神经免疫相互作用。我们认为,源自心率信号变异性分析的标志物似乎与炎症生物标志物有关。然而,仍然存在许多悬而未决的问题,例如心率变异性与自主神经系统输出之间是否存在真正的关联,或者它是否可以用于床边的风险分层和治疗监测。最后,将讨论潜在的治疗意义,从而恢复与炎症控制相关的自主平衡。