Why the study?
Prediction of sudden cardiac death remains challenging, motivating an analysis to explore whether premature ventricular complexes serve as a risk factor for ICD interventions.
Does RR interval analysis of PVC characteristics predict appropriate ICD interventions in patients with ICDs?
Does RR interval analysis of PVC characteristics predict appropriate ICD interventions in patients with ICDs?
Answers are grounded in this paper and cite their sources.
RR interval analysis of PVC burden and characteristics using a simple computer program can help predict life-threatening arrhythmias and appropriate ICD interventions.
BACKGROUND: Prediction of sudden cardiac death remains a significant challenge. There is some evidence that ventricular ectopic activity could be regarded as a predictive marker. OBJECTIVES: We carried out an analysis to explore whether premature ventricular complexes (PVCs) are a risk factor in implantable cardioverter-defibrillator (ICD) interventions. MATERIAL AND METHODS: The study method was a RR interval series analysis (n = 184) of arrhythmic events and controls from the ICD. Study group consisted of patients with a mean age of 55 ±27 years; 74% of them were male, 85% were secondary prevention patients, 62% had coronary artery disease (CAD), 15% hypertropic cardiomyopathy (HCM), 15% dilated cardiomyopathy (DCM), and 8% diseases of other etiology. The mean follow-up time was 64 months (range: 3-126 months). The study population was divide into patients with at least 1 appropriate intervention ventricular tachycardia/ventricular fibrillation (VT/VF) (group A, n = 101) and controls without interventions (group B, n = 83). The number of PVC/4000 RR cycles, the shortest coupling intervals between a PVC and preceding R as well as the number of PVCs of very short (180-220 ms), short (220-280 ms) and different cycle lengths (CL) as well as the incidence of short-long-short (SLS) sequences were compared. RESULTS: The number of PVCs/4000 RR cycles was significantly higher in group A (263 ±32 compared to 43 ±17, p < 0.0001). The mean shortest PVC CL was significantly shorter in group A (320 ±13 compared to 400 ±38, p = 0.029). The number of PVCs with a very short CL was 1 ±0.4 compared to 0.1 ±0.1 (p = 0.028). The number of PVCs with a short CL was 5 ±1.2 compared to 0.6 ±0.4 (p = 0.0007) in groups A and B, respectively. The incidence of SLS sequences was significantly higher in group A than in group B (67 (94% of patients) and 4 (33% of patients) respectively (p < 0.0001)). CONCLUSIONS: Significant differences were found in the characteristics of PVCs and SLS sequences between patients with appropriate ICD interventions and controls. A newly developed basic computer program called PCRR was applied for RR interval analysis. This simple method could be a predictor of PVC burden and life-threatening arrhythmias in different populations.
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Lewandowski et al. (2021) studied this question.
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