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Autonomic dysfunction and new-onset atrial fibrillation in patients with left ventricular systolic dysfunction after

Christian Jons1, Pekka Raatikainen, Uffe J Gang

  • 1Department of Cardiology, Gentofte University Hospital, Copenhagen, Denmark. chrjoens@gmail.com

Journal of Cardiovascular Electrophysiology
|May 22, 2010
PubMed

Insights

Patients with myocardial infarction and reduced ejection fraction are at high risk for new-onset atrial fibrillation (AF). Cardiac autonomic dysfunction, measured by heart rate variability (HRV) and turbulence (HRT), predicts AF development.

Area of Science:

  • Cardiology
  • Electrophysiology
  • Autonomic Nervous System Function

Background:

  • Atrial fibrillation (AF) significantly increases morbidity and mortality in patients with prior myocardial infarction (MI) and left ventricular systolic dysfunction.
  • Identifying high-risk individuals for new-onset AF in this population is crucial for timely intervention.

Purpose of the Study:

  • To identify patients at high risk for new-onset AF following acute myocardial infarction (AMI) with reduced ejection fraction.
  • To evaluate the predictive value of invasive and noninvasive electrophysiological tests for AF development.

Main Methods:

  • 271 patients from the CARISMA study with AMI and LVEF ≤40% (no prior AF) were enrolled.
  • Implantable loop recorders monitored AF over 2 years; heart rate variability (HRV), heart rate turbulence (HRT), echocardiograms, exercise tests, and electrophysiologic studies were performed.

Main Results:

  • 101 patients (37%) developed new-onset AF.
  • Reduced low-frequency (LF) power in spectral HRV, HRT slope ≤2.5, and DFA1 were significant predictors of AF, indicating cardiac autonomic dysfunction.
  • A risk score combining age >60 with low LF, HRT slope, and DFA1 strongly predicted new-onset AF.

Conclusions:

  • Abnormal HRV and HRT parameters, reflecting impaired cardiac autonomic regulation, are independently associated with an increased risk of new-onset AF.
  • These electrophysiological markers offer valuable risk stratification beyond conventional clinical variables.
Abstract

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