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Baroreflex gain: characterization using autoregressive moving average analysis

D J Patton1, J K Triedman, M H Perrott

  • 1Department of Cardiology, Children's Hospital, Boston 02115, USA.

The American Journal of Physiology
|April 1, 1996
PubMed
Summary
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Autoregressive moving average (ARMA) analysis quantifies heart rate baroreflex gain by examining beat-to-beat interactions between blood pressure and R-R interval. Early ARMA responses correlate with traditional baroreflex gain measures, suggesting its utility without altering mean blood pressure.

Area of Science:

  • Physiology
  • Cardiovascular Dynamics
  • Biomedical Engineering

Background:

  • The heart rate baroreflex is crucial for maintaining blood pressure stability.
  • Traditional methods for assessing baroreflex gain can be invasive or perturb physiological conditions.

Purpose of the Study:

  • To evaluate the autoregressive moving average (ARMA) analysis as a non-invasive method for quantifying heart rate baroreflex gain.
  • To compare ARMA-derived baroreflex gain with established methods using pharmacological agents.

Main Methods:

  • ARMA analysis was applied to spontaneous fluctuations in arterial blood pressure (BP) and R-R interval in 17 volunteers.
  • The ARMA model estimated the response of R-R interval to a transient BP increase.
  • Results were compared with baroreflex gain measured via phenylephrine (PE) and sodium nitroprusside (SNP) bolus injections.

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Main Results:

  • Early impulse-response curves from ARMA analysis showed a significant linear correlation with baroreflex gain derived from SNP and PE injections.
  • A similar correlation was observed between the one-beat ARMA step response and SNP injection.
  • Late integrated step responses did not correlate with pharmacologically determined baroreflex gain.

Conclusions:

  • ARMA analysis provides a valid method for quantifying baroreflex gain without perturbing mean blood pressure.
  • Early ARMA measures correlate with traditional baroreflex gain, suggesting it offers insights into frequency-dependent effects of BP on R-R interval.