title: Model-Derived Markers of Autonomic Cardiovascular Dysfunction in Sleep-Disordered Breathing.
abstract: 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.
authors.affiliation: Biomedical Engineering Department, University of Southern California, 1042 Downey Way, Los Angeles, CA 90089, USA. Electronic address: khoo@usc.edu.
authors.forename: Michael C K
authors.initials: MCK
authors.lastname: Khoo
authors.affiliation: Biomedical Engineering Department, University of Southern California, 1042 Downey Way, Los Angeles, CA 90089, USA.
authors.forename: Patjanaporn
authors.initials: P
authors.lastname: Chalacheva
mesh_terms: D001342:Autonomic Nervous System Diseases / Q000175:diagnosis*; D015415:Biomarkers; D002318:Cardiovascular Diseases / Q000175:diagnosis*; D006801:Humans; D008955:Models, Cardiovascular; D012891:Sleep Apnea Syndromes / Q000175:diagnosis* / Q000503:physiopathology
chemical_list: D015415:Biomarkers
keywords: Cardiorespiratory control; Heart rate variability; Minimal model; Peripheral vascular resistance; Sleep apnea