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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.
Background:
Many patients with atrial fibrillation (AF) present with stroke as their first clinical manifestation and since improved AF screening methods are thus required, we investigated whether pulse rate variability parameters predict future AF and cerebrovascular events.
Methods:
In an observational cohort study of 5000 community-resident adults (58% male; 50-84 years), the beat-to-beat variability of suprasystolic brachial blood pressure waveforms was measured with root mean square of successive differences (RMSSD) and irregularity index (IrrIx). Based on outcome-oriented and previously validated thresholds for detecting AF, RMSSD and IrrIx were dichotomised at 100 ms and 7.7%, respectively. Participants were followed up for 4.6 years (median), accruing 249 AF and 120 cerebrovascular events in the total sample (n = 5000), and 133 AF and 90 cerebrovascular events among those without prior AF diagnosis (n = 4296).
Results:
In multivariable-adjusted analyses, an elevated RMSSD (>100 ms) or IrrIx (>7.7%) was strongly associated with a higher risk of AF (hazard ratios (HRs) = 2.00-2.95) and cerebrovascular events (HRs = 1.91-2.28), even among people without prior AF diagnosis: HRs for AF = 1.70-2.05 and cerebrovascular events = 2.00-2.28. These associations were strongest in the highest RMSSD tertile >100 ms or IrrIx tertile >7.7%: HRs for AF = 2.32-4.47 and cerebrovascular events = 2.43-3.69. Among those without prior AF diagnosis, the highest categorical net reclassification improvement for 5-year cerebrovascular risk was 14% (95% confidence interval: 7-21%).
Conclusions:
Elevated RMSSD or IrrIx values indicative of the presence of AF predict future AF and cerebrovascular events; more so with increasing pulse irregularity and even among those without prior AF diagnosis.
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