Risk factor algorithm used to predict frequent premature ventricular contraction-induced cardiomyopathy

초록

Background: Premature ventricular contraction (PVC) QRS duration (QRSd) and high PVCs burden are known as a risk factor of PVC-induced cardiomyopathy (CMP). The aim of this study is to find useful algorithm to predict PVC-induced CMP. Methods: 180 patients (99 males, 51 +/- 14 years) with frequent PVCs (> 10%/24 h), who underwent successful PVC ablation, were studied. Typical PVC-related symptoms were defined as the presence of palpitations or dropped beats during PVC. Group A (n = 144) was symptomatic and Group B (n = 36) was asymptomatic. Results: The incidence of CMP was significantly higher in group B (group A = 19%, group B = 66%, p < 0.001). In group A, there were significant differences, between the patients with normal EF and CMP, in terms of sex (p = 0.005), daily PVC burden (p = 0.012), distribution of PVCs with a LV site (p < 0.009), and PVC QRSd (p < 0.001). In group B, the PVC QRSd was significantly wider in patients with CMP. Multivariate analysis showed that PVC QRSd (p < 0.001), PVC burden (p = 0.022), and LV site (p = 0.043) were risk factors for CMP. Conclusions: Using our scoring algorithm for this patient sample, we are able to predict the development of PVC-induced CMP with 80% sensitivity, 81% specificity, 64% positive predictive value, and 91% negative predictive value. (C) 2017 Published by Elsevier Ireland Ltd.

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