Higher heart rate variability as a predictor of atrial fibrillation in patients with hypertension

Area of Science:

• Cardiology
• Autonomic Nervous System Research
• Clinical Electrophysiology

Background:

• The autonomic nervous system (ANS) significantly influences atrial fibrillation (AF) development and persistence.
• The predictive value of elevated heart rate variability (HRV) for AF risk remains incompletely understood.

Purpose of the Study:

• To investigate the association between baseline heart rate variability (HRV) and the incidence of atrial fibrillation (AF) in hypertensive patients.
• To determine if higher HRV is an independent risk factor for AF development.

Main Methods:

• Utilized data from 782 hypertensive patients within a Holter registry.
• Measured baseline HRV using time and frequency domain analyses from 24-hour Holter monitoring.
• Assessed the primary outcome of AF development over an average follow-up of 1.1 years using Cox regression analysis.

Main Results:

• Higher HRV parameters, including high-frequency HRV, RMSSD, and SDSD, were significantly associated with AF occurrence in univariate analysis.
• Higher HRV, representing excessive autonomic fluctuation, emerged as an independent risk factor for AF in Cox regression analysis.
• Factors such as premature atrial contractions, lower heart rate, older age, hemodialysis, coronary artery disease, and chronic heart failure were also linked to AF development.

Conclusions:

• Excessive autonomic fluctuation, indicated by higher HRV, is associated with an increased risk of developing AF in hypertensive individuals.
• The findings highlight a paradoxical relationship where higher HRV may signify an increased susceptibility to AF in this patient population.