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September 16, 2014Hypertension331 citationsOpen Access

Biophysical Characterization of the Underappreciated and Important Relationship Between Heart Rate Variability and Heart Rate

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OMOliver MonfrediALAlexey E. LyashkovAJAnne-Berit Johnsen

Key Result

Heart rate variability exhibits a universal exponential decay-like relationship with heart rate across diverse species, demonstrating that HRV is primarily dependent on heart rate.

Key Points

  • Characterize the fundamental biophysical relationship between heart rate variability (HRV) and baseline heart rate (HR) across biological preparations to determine if HRV independently reflects cardiac autonomic tone.
  • Calculated HRV metrics across multiple preparations, including intact humans, living animals, isolated Langendorff-perfused hearts, and single sinoatrial nodal cells, integrated with published datasets.
  • Developed and tested two biophysical computational models to analyze the mathematical and physiological dependency of HRV on underlying HR.
  • Demonstrated a universal, exponential decay-like relationship between HRV and HR across all preparations, experimental conditions, and species.
  • Showed via biophysical modeling that HRV is primarily dictated by intrinsic HR rather than serving as an unconfounded readout of autonomic nerve activity, indicating that clinical links between HRV and mortality largely reflect HR differences.

Structured PICO

Is heart rate variability primarily dependent on heart rate rather than cardiac autonomic nerve activity?

P
Population
Various cardiac preparations including humans, living animals, Langendorff-perfused hearts, and single sinoatrial nodal cells across diverse species, combined with previously published data.
I
Intervention
Calculation of HRV parameters and application of 2 biophysical models
O
Outcome
Relationship between heart rate variability (HRV) and heart rate (HR)surrogate

This study demonstrates that heart rate variability is fundamentally dependent on heart rate itself, challenging the widespread clinical assumption that HRV independently reflects cardiac autonomic nerve activity.

Abstract

Heart rate (HR) variability (HRV; beat-to-beat changes in the R-wave to R-wave interval) has attracted considerable attention during the past 30+ years (PubMed currently lists >17 000 publications). Clinically, a decrease in HRV is correlated to higher morbidity and mortality in diverse conditions, from heart disease to fetal distress. It is usually attributed to fluctuation in cardiac autonomic nerve activity. We calculated HRV parameters from a variety of cardiac preparations (including humans, living animals, Langendorff-perfused heart, and single sinoatrial nodal cell) in diverse species, combining this with data from previously published articles. We show that regardless of conditions, there is a universal exponential decay-like relationship between HRV and HR. Using 2 biophysical models, we develop a theory for this and confirm that HRV is primarily dependent on HR and cannot be used in any simple way to assess autonomic nerve activity to the heart. We suggest that the correlation between a change in HRV and altered morbidity and mortality is substantially attributable to the concurrent change in HR. This calls for re-evaluation of the findings from many articles that have not adjusted properly or at all for HR differences when comparing HRV in multiple circumstances.

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Cite This Study

Monfredi et al. (2014) studied this question. Heart rate variability exhibits a universal exponential decay-like relationship with heart rate across diverse species, demonstrating that HRV is primarily dependent on heart rate.

synapsesocial.com/papers/6a0ba8cd4f6759c6fca2542chttps://doi.org/10.1161/hypertensionaha.114.03782
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