Key result
Low heart rate complexity, quantified by an increased 'forbidden words' parameter (8.6 vs 2.2 on day 1), was significantly associated with the incidence of de novo atrial fibrillation in patients with heart failure (p<0.05).
Why the study?
The study evaluated the association between the risk of de novo device-detected AF, autonomic perturbations prior to paroxysmal AF onset, and 7-day heart rate variability 1 month post-ICD implantation.
Does non-linear heart rate complexity analysis better predict de novo atrial fibrillation compared to standard heart rate variability in patients with heart failure and an ICD?
Case-Control (n=20)
Yes
Does non-linear heart rate complexity analysis better predict de novo atrial fibrillation compared to standard heart rate variability in patients with heart failure and an ICD?
Non-linear heart rate complexity analysis, but not standard linear heart rate variability, can identify cardiac autonomic dysfunction and predict de novo atrial fibrillation in patients with heart failure and an ICD.
Answers are grounded in this paper and cite their sources.
May support non-linear HR complexity for AF risk stratification in HF; leaves open prospective validation vs linear HRV.
Background The REACT DX registry evaluates standard therapies to episodes of long-lasting atrial tachyarrhythmias and assesses the quality of sensing and stability of the lead and the implantable cardioverter-defibrillator (ICD) (BIOTRONIK Lumax VR-T DX and successors) over at least a 1-year follow-up period. Objective To study the association between the risk of de novo device-detected atrial fibrillation (AF), the autonomic perturbations before the onset of paroxysmal AF and a 7-days heart rate variability (7dHRV) 1 month after ICD implantation. Methods The registry consists of 234 patients implanted with an ICD, including 10 with de novo long-lasting atrial tachyarrhythmias with no prior history of AF. The patients were matched via the propensity-score methodology as well as for properties directly influencing the ECGs recorded using GE CardioMem CM 3000. Heart rate variability (HRV) analysis was performed using standard parameters from time- and frequency-domains, and from non-linear dynamics. Results No linear HRV was associated with an increased risk of AF ( p = n.s.). The only significant approach was derived from symbolic dynamics with the parameter “forbidden words” which distinguished both groups on all 7 days of measurements ( p < 0.05), thereby quantifying the heart rate complexity (HRC) as drastically lower in the de novo AF group. Conclusion Cardiac autonomic dysfunction denoted by low HRC may be associated with higher AF incidence. For patients with mild to moderate heart failure, standard HRV parameters are not appropriate to quantify cardiac autonomic perturbations before the onset of AF. Further studies are needed to determine the individual risk for AF that would enable interventions to restore autonomic balance in the general population.
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Wessel et al. (2020) conducted a case-control in Mild to moderate heart failure (n=20). Low heart rate complexity vs. Normal heart rate complexity was evaluated on Heart rate complexity measured by 'forbidden words' parameter on day 1 (p=<0.05). Low heart rate complexity, quantified by an increased 'forbidden words' parameter (8.6 vs 2.2 on day 1), was significantly associated with the incidence of de novo atrial fibrillation in patients with heart failure (p<0.05).
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