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Model-based Assessment of Autonomic Control in Obstructive Sleep Apnea Syndrome during Sleep

Department of Biomedical Engineering and Department of Medicine, University of Southern California, Los Angeles, California

Correspondence and requests for reprints should be addressed to Michael C. K. Khoo, M.D., Biomedical Engineering Department, OHE-500, University of Southern California, Los Angeles, CA 90080-1451. E-mail: khoo{at}bmsr.usc.edu

Respiration, R-R interval, blood pressure, and other polysomnographic variables were recorded in eight normal subjects and nine patients with untreated obstructive sleep apnea syndrome in wakefulness and sleep. To increase respiratory and cardiovascular variability, a computer-controlled ventilator delivered randomly modulated inspiratory pressures that were superimposed on a baseline continuous positive airway pressure. A mathematical model allowed heart rate variability to be partitioned into a component mediated by respiratory–cardiac coupling and one mediated by the baroreflexes. Respiratory–cardiac coupling gain was lower in patients versus normal subjects (36.9 ± 3.3 versus 66.1 ± 5.6 milliseconds L^-1, p < 0.03). Baroreflex gain in patients was also depressed relative to normal subjects (2.3 ± 0.4 versus 4.9 ± 0.7 milliseconds mm Hg^-1; p < 0.02). Baroreflex gain increased two- to threefold from wakefulness to sleep in normal subjects, but was relatively unaffected by state change in patients. Along with results derived from spectral analysis of cardiovascular variability, these findings confirm previous reports that obstructive sleep apnea syndrome is associated with reduced parasympathetic and elevated sympathetic activity. The model-based approach provides a more precise characterization of heart rate variability that can be employed in conjunction with spectral analysis for the noninvasive detection and assessment of autonomic cardiovascular abnormality in obstructive sleep apnea syndrome.

Key Words: baroreflex sensitivity • cardiovascular control • heart rate variability • mathematical model • respiratory sinus arrhythmia

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