BACKGROUND: @entity1540 ( @entity1540 ) QRS duration (QRSd) and high PVCs burden are known as a risk factor of @entity1540 -induced @entity296 ( @entity296 ). The aim of this study is to find useful algorithm to predict @entity1540 -induced @entity296 . METHODS: 180 @entity1 (99 males, 51  14years) with frequent PVCs (>10%/24h), who underwent successful @entity1540 ablation, were studied. Typical @entity1540 -related symptoms were defined as the presence of palpitations or dropped beats during @entity1540 . Group A (n=144) was symptomatic and Group B (n=36) was asymptomatic. RESULTS: The incidence of @entity296 was significantly higher in group B (group A=19%, group B=66%, p<0.001). In group A, there were significant differences, between the @entity1 with normal EF and @entity296 , in terms of sex (p=0.005), daily @entity1540 burden (p=0.012), distribution of PVCs with a LV site (p<0.009), and @entity1540 QRSd (p<0.001). In group B, the @entity1540 QRSd was significantly wider in @entity1 with @entity296 . Multivariate analysis showed that @entity1540 QRSd (p<0.001), @entity1540 burden (p=0.022), and LV site (p=0.043) were risk factors for @entity296 . CONCLUSIONS: Using our scoring algorithm for this @entity1 sample, we are able to predict the development of @entity1540 -induced @entity296 with 80% sensitivity, 81% specificity, 64% positive predictive value, and 91% negative predictive value.

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

@entity1 :: ('9606', 'Species') :: ['patients', 'patient'] @entity296 :: ('MESH:D009202', 'Disease') :: ['cardiomyopathy', 'CMP'] @entity1540 :: ('MESH:D018879', 'Disease') :: ['PVC', 'Premature ventricular contraction']
@entity296 :: (MESH:D009202,Disease) :: ['cardiomyopathy']
