Pulse rate variability predicts atrial fibrillation and cerebrovascular events in a large, population-based cohort

John D Sluyter1, Carlos A Camargo2, Andrew Lowe3

  • 1School of Population Health, University of Auckland, Auckland, New Zealand.

Insights

Pulse rate variability parameters like RMSSD and IrrIx can predict future atrial fibrillation (AF) and cerebrovascular events, even in individuals without a prior AF diagnosis, aiding in early detection and risk assessment.

Area of Science:

  • Cardiology
  • Neurology
  • Public Health

Background:

  • Atrial fibrillation (AF) is often diagnosed after a stroke occurs.
  • Improved screening methods for AF are crucial for early intervention.
  • Pulse rate variability (PRV) parameters may offer predictive capabilities for AF and related events.

Purpose of the Study:

  • To investigate if PRV parameters, specifically RMSSD and IrrIx, can predict future AF diagnoses.
  • To determine if PRV parameters predict cerebrovascular events.
  • To assess the predictive value of PRV in individuals without a prior AF diagnosis.

Main Methods:

  • An observational cohort study included 5000 adults aged 50-84 years.
  • Beat-to-beat variability of blood pressure waveforms was measured using RMSSD and IrrIx.
  • Participants were followed for a median of 4.6 years, with outcomes including AF and cerebrovascular events.

Main Results:

  • Elevated RMSSD (>100 ms) or IrrIx (>7.7%) strongly predicted higher risks of AF and cerebrovascular events (HRs 1.91-2.95).
  • These associations persisted even in individuals without a prior AF diagnosis.
  • The highest tertiles of RMSSD or IrrIx showed the strongest associations with AF and cerebrovascular events (HRs 2.32-4.47).

Conclusions:

  • Increased RMSSD or IrrIx values indicate a higher risk of future AF and cerebrovascular events.
  • The predictive value is enhanced with greater pulse irregularity.
  • PRV parameters are valuable predictors even in individuals without a diagnosed history of AF.
Abstract

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