睡眠呼吸障碍中自主心血管功能障碍的模型衍生标志物
Model-Derived Markers of Autonomic Cardiovascular Dysfunction in Sleep-Disordered Breathing.
作者信息
Khoo Michael C K, Chalacheva Patjanaporn
机构信息
Biomedical Engineering Department, University of Southern California, 1042 Downey Way, Los Angeles, CA 90089, USA.
Biomedical Engineering Department, University of Southern California, 1042 Downey Way, Los Angeles, CA 90089, USA.
出版信息
Sleep Med Clin. 2016 Dec;11(4):489-501. doi: 10.1016/j.jsmc.2016.07.003. Epub 2016 Oct 27.
Evidence indicates that sleep-disordered breathing leads to elevated sympathetic tone and impaired vagal activity, promoting hypertension and cardiometabolic disease. Low-cost but accurate monitoring of autonomic function is useful for the aggressive management of sleep apnea. This article reviews the development and application of multivariate dynamic biophysical models that enable the causal dependencies among respiration, blood pressure, heart rate variability, and peripheral vascular resistance to be quantified. The markers derived from these models can be used in conjunction with heart rate variability to increase the sensitivity with which abnormalities in autonomic cardiovascular control are detected in subjects with sleep-disordered breathing.
有证据表明，睡眠呼吸紊乱会导致交感神经张力升高和迷走神经活动受损，进而引发高血压和心脏代谢疾病。低成本但准确的自主神经功能监测有助于积极管理睡眠呼吸暂停。本文综述了多变量动态生物物理模型的发展与应用，这些模型能够量化呼吸、血压、心率变异性和外周血管阻力之间的因果关系。从这些模型中得出的标志物可与心率变异性结合使用，以提高在睡眠呼吸紊乱患者中检测自主心血管控制异常的敏感性。
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