title: Risk factor algorithm used to predict frequent premature ventricular contraction-induced cardiomyopathy.
abstract: 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±14years) with frequent PVCs (>10%/24h), 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.
authors.affiliation: Division of Cardiology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 135-710, Republic of Korea.
authors.forename: Kyoung-Min
authors.initials: KM
authors.lastname: Park
authors.affiliation: Division of Cardiology, Department of Internal Medicine, Kosin University Gospel Hospital, Kosin University College of Medicine, Busan 602-702, Republic of Korea.
authors.forename: Sung Il
authors.initials: SI
authors.lastname: Im
authors.affiliation: Division of Cardiology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 135-710, Republic of Korea.
authors.forename: Seung-Jung
authors.initials: SJ
authors.lastname: Park
authors.affiliation: Division of Cardiology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 135-710, Republic of Korea.
authors.forename: June Soo
authors.initials: JS
authors.lastname: Kim
authors.affiliation: Division of Cardiology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 135-710, Republic of Korea. Electronic address: yk.on@samsung.com.
authors.forename: Young Keun
authors.initials: YK
authors.lastname: On
mesh_terms: D000465:Algorithms; D009202:Cardiomyopathies / Q000175:diagnosis / Q000209:etiology* / Q000503:physiopathology; D015716:Electrocardiography, Ambulatory; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D015994:Incidence; D008297:Male; D008875:Middle Aged; D011237:Predictive Value of Tests; D056910:Republic of Korea / Q000453:epidemiology; D012189:Retrospective Studies; D018570:Risk Assessment / Q000379:methods*; D012307:Risk Factors; D013318:Stroke Volume; D016277:Ventricular Function, Left; D018879:Ventricular Premature Complexes / Q000150:complications* / Q000453:epidemiology / Q000503:physiopathology
keywords: Cardiomyopathy; Electrocardiogram; Premature ventricular contraction; Symptom