Premature Ventricular Contractions As A Predictive Marker For Cardiac Events In Stable Heart Failure Patients
Recommended Citation
Kramarenko DR, Shukr B, Stephan J, Liu B, Peterson E, Amin AS, Lanfear DE, Pinto Y. Premature Ventricular Contractions As A Predictive Marker For Cardiac Events In Stable Heart Failure Patients. J Card Fail 2025; 31(1):253-254.
Document Type
Conference Proceeding
Publication Date
1-1-2025
Publication Title
J Card Fail
Abstract
Introduction: Even though premature ventricular contractions (PVCs) are often viewed as harmless, recent studies show that a πρεχεδινγ PVC beat might be inefficient. It suggests that even a moderate number of PVCs could reduce contractile efficiency and elevate event risk. Yet, the prevalence of moderate to high PVCs (>5%) in stable heart failure (HF) patients and the association between PVC percentage and cardiac event risk in stable HF patients are still unclear. Aim: This study aimed to quantify HF patients with >5% PVCs and to evaluate the predictive power of PVCs for cardiac events. Methods: Our study retrospectively reviewed 651 HF patients from Amsterdam UMC (AUMC) with LVEF < 40% or NTproBNP > 600 pg/ml, and 180 HF patients from Henry Ford Hospital (HFH) with LVEF < 40%. We employed a multivariable Cox regression model to evaluate predictors of cardiac events, such as all-cause mortality, VT/VF and/or ICD shocks, and cardiac arrest, selecting variables with p < 0.05 from univariable analysis. For survival models, numeric variables not fitting a normal distribution were transformed into categorical variables using ROC-derived thresholds. Results: In AUMC and HFH cohorts, the median age was 64 years, with 43.5% and 50% females, respectively. Approximately, 9-11% of patients in both cohorts had more than 5% PVCs. In AUMC cohort, individuals in the top three PVC deciles faced significantly higher event risk than lower deciles (Figure 1). Based on univariable analysis, four predictors, including PVC %, NT-proBNP, occurrences of bi/trigeminy, and NSVT were selected for inclusion in the multivariable survival model. Thresholds of 0.5% for PVCs and 6000 pg/ml for NTproBNP were used. PVCs greater than 0.5% were significantly linked to an increased risk of cardiac events, exhibiting hazard ratios (HR) greater than two across all models with significant p-values, and slightly outperforming NSVT in predictive strength. (Table 1) Conclusions: Our analysis across two independent cohorts reveals that 9-11% of stable HF patients exhibit a notable PVC burden (>5% of total beats), even with adequate treatment. In AUMC cohort, PVC burden exceeding 0.5%, equal to about 3-4 beats per minute, is significantly associated with increased cardiac event risk, suggesting PVC's predictive power may rival that of NSVTs.
Volume
31
Issue
1
First Page
253
Last Page
254