Sleep, 16:S150-S151 © 1993 American Sleep Disorders Association and Sleep Research Society Spectral Analysis of Blood Pressure in Patients With Sleep-Related Breathing Disorders During NREM and REM Sleep T. Penzel Zeitreihenlabor, Medizinische Poliklinik der Philipps- Universitat, Marburg, Germany Sleep-related breathing disorders (SRBD) have implications on the cardiovascular system. Influences of the respiratory system on the cardiovascular system can be studied using spectral analysis of blood pressure and heart rate (1-3). Spectral analysis of heart rate and blood pressure was used in several studies in the past to investigate their cyclical variations. Three different frequency ranges were distinguished and related to physiological changes of the same frequency: 1) low frequencies: <0.1 Hz (longer than 10 seconds) related to thermoregulation; 2) mid-range frequencies: 0.1-0.3 Hz (between 3.3 and 10 seconds) synchronous with respiration and related to sympathetic and vagal activity and 3) high frequencies: 0.3-0.5 Hz (between 3.3 and 2 seconds). Studies that analyzed the effect of different sleep stages on the periodicities of cardiovascular variables were usually limited to heart rate variability. Mid-range frequencies, related to respiration, were the main subject (4). In this study, the effect ofSRBD on heart rate and blood pressure was analyzed using spectral analysis to investigate changes in the periodicities of heart rate and systolic blood pressure. The analysis focussed on frequencies below 0.05 Hz because blood pressure swings (20-60 seconds period duration) occur in parallel with periodic apnea and hypopnea. Therefore the frequency range 0.016-0.05 Hz was defined as apnea related frequency band. METHODS Fifty patients with SRBD and systemic hypertension according to World Health Organization criteria were recorded for two consecutive nights in the sleep laboratory with cardiorespiratory polysomnography and parallel invasive arterial blood pressure. All signals were recorded on a chart recorder and an 8-channel analog FM tape recorder (TI 8, Transinstruments). Sleep stages were scored according to the rules ofRechtschaf- fen and Kales. Arterial blood pressure and electrocardiogram (ECG) were replayed from the analog tape to a signal analysis computer (IN 1200, Intertechnique) at 16-times real-time to perform analysis. Heart rate was calculated based on the ECG for every heart beat detected. Systolic, diastolic and mean blood pressure were determined for every R-wave detected in the ECG. The four parameters were stored once per second (1 Hz resolution) for further processing. Spectral analysis based on fast Fourier transform was applied on consecutive segments of 300 seconds for the entire night recording to investigate underlying rhythms. Only segments where calibration of blood pressure was performed were discarded. Compressed spectral arrays (2,5) were plotted for heart rate and systolic pressure for all patients. RESULTS A total of 50 patients were recorded. Mean age was 5l.9 years (range 32-69). Mean number of apneas + hypopneas per recording were 359 (range 15-876). Midrange frequency components (0.1-0.3 Hz) were found in heart rate and systolic pressure. The amplitude of the components increased during episodes of partial upper airway obstruction as occurs during snoring. The frequency of the components was stabile but changed as sleep stages changed. Very high amplitudes were found in the low-frequency range (0.016-0.05 Hz). These components were found in parallel with obstructive sleep apnea during NREM sleep. During REM sleep amplitudes of low-frequency components were more variable. The frequency was found to be the same as calculated by apnea + hyperventilation duration (20-60 seconds). Based on the different patterns of compressed spectral arrays, it was possible to distinguish four different groups of patients. Group A had distinct peaks in the apnea-related frequency band with sharp narrow peaks in respiration S150 S151 SHORT NOTES CARDIOVASCULAR SPEKTRA because he had neither respiration- nor apnea-related pressure swings. This patient with essential hypertension had neither apneas nor obstructive snoring in the night of investigation. Parallel evaluation of sleep stages revealed that during REM, sleep blood pressure variations did not show periodic behavior. Even if total power of the spectrum was high during REM sleep, the typical apnea-associated frequency peaks were broadened. CONCLUSION FIG. 1. A compressed spectral array of systolic pressure gives the recording of an entire night. Each single line is the result of a spectral analysis on a 5-minute segment of systolic pressure. Left-bound peaks are caused by apnea-related blood pressure variation and the peaks in the middle (around 0.24 Hz) are related to obstructionrelated pressure swings. The frequency of respiration-related swings is very stabile throughout time and shows sleep stage dependency in the frequency itself. related frequencies. Usually, amplitudes of the apneaassociated frequencies did not exceed the amplitudes in the respiration-related frequencies. Patients had significantly less apneas and hypopneas compared with the other groups (p < 0.001). Clinically, patients were diagnosed as heavy snorers. Group B had very high amplitudes in the apnearelated frequencies compared with Group A. Amplitudes were dependant on sleep stages. Group C also had very high amplitudes in the apnea associated frequencies, but the respiration-related frequencies showed no sharp narrow peaks but were scattered over a broad range of frequencies. These patients were the most overweight and were the youngest (not statistically significant). Group D was the largest and was characterized by a total loss of respiration-related amplitudes. Only apnea-related amplitudes were present with high amplitudes. These amplitudes were scattered over a broad band offrequencies, which indicated less regular apnea duration. One patient was not assigned to one of the groups The method of spectral analysis can give new insights on the mechanisms of interactions between blood pressure, respiration and sleep. Analysis of systolic blood pressure resulted in less disturbed compressed spectral arrays for evaluation than compressed spectral arrays of heart rate. It is possible to distinguish and to quantify the periodic changes in blood pressure, which corresponds to respiration-related variations and apnea-related variations. It was shown that amplitude of pulsus paradoxus increases during episodes of obstructive snoring. Heavy snorer type patients had a relatively stabile respiratory frequency throughout the night. The analysis of the results together with sleep shows that there exist different mechanisms in the regulation ofNREM and REM sleep that change the regulation of SRBD from periodic to non periodic and affect the regulation of heart rate and blood pressure. REFERENCES 1. Akselrod S, Gordon D, Ubel FA, Shannon DC, Barger AC, Cohen RJ. Power spectrum analysis of heart rate fluctuations: a quantitative prove of beat-to-beat cardiovascular control. Science 1981; 213:220-2. 2. Cerutti S, Bianchi A, Baselli G, et a1. Compressed spectral arrays for the analysis of24-hr heart rate variability signal: enhancement of parameters and data reduction. Camp Biomed Res 1989;22: 424-41. 3. de Boer RW, Karemaker JM, Strackee J. Relationships between short-term blood-pressure fluctuations and heart-rate variability in resting subjects I: a spectral analysis approach. Med Bioi Eng Comput 1985;23:352-8. 4. Findley LJ, Farkas GA, Rochester DF. Changes in heart rate during breathing interrupted by recurrent apneas in humans. J Appl Physiol 1985;59:536-42. 5. Penzel T, Peter JH, von Wichert P. Spectral analysis of heart rate and blood pressure in sleep apnea syndrome. In: Gaultier C, Escourrou P, Curzi-Dascalova L, eds. Sleep and cardiovascular control. London: Colloque Inserm/John Libbey Eurotext, 1991: 79-85. Sleep, Vol. 16, No.8, 1993
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