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DOI 10.1002/da.10129

Медицинская библиотека · Depression and anxiety · 2004

Linear and nonlinear measures of blood pressure variability: increased chaos of blood pressure time series in patients with panic disorder.

Yeragani Vikram K, Mallavarapu Mallika, Radhakrishna Rao K A, Tancer Manuel, Uhde Thomas

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Аннотация

Arterial blood pressure (BP) variability increases progressively with the development of hypertension and an increase in BP variability is associated with end organ damage and cardiovascular morbidity. On the other hand, a decrease in heart rate (HR) variability is associated with significant cardiovascular mortality. There is a strong association between cardiovascular mortality and anxiety. Several previous studies have shown decreased HR variability in patients with anxiety. In this study, we investigated beat-to-beat variability of systolic and diastolic BP (SBP and DBP) in normal controls and patients with panic disorder during normal breathing and controlled breathing at 12, and 20 breaths per minute using linear as well as nonlinear techniques. Finger BP signal was obtained noninvasively using Finapres. Standing SBPvi and DBP BPvi (log value of BP variance corrected for mean BP divided by HR variance corrected for mean HR) were significantly higher in patients compared to controls. Largest Lyapunov exponent (LLE) of SBP and DBP, a measure of chaos, was significantly higher in patients in supine as well as standing postures. The ratios of LLE (SBP/HR) and LLE (DBP/HR) were also significantly higher (P<.001) in patients compared to controls. These findings further suggest dissociation between HR and BP variability and a possible relative increase in sympathetic function in anxiety. This increase in BP variability may partly explain the increase in cardiovascular mortality in this group of patients.

Для цитирования: Yeragani Vikram K, Mallavarapu Mallika, Radhakrishna Rao K A, Tancer Manuel, Uhde Thomas. Linear and nonlinear measures of blood pressure variability: increased chaos of blood pressure time series in patients with panic disorder.. Depression and anxiety. 2004. DOI: 10.1002/da.10129.

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