title: QT dispersion is not related to infarct size or inducibility in patients with coronary artery disease and life threatening ventricular arrhythmias.
abstract: OBJECTIVE
  To relate QT parameters to infarct size and inducibility during electrophysiological studies.
  
  
  METHODS
  Analysis of a prospective register.
  
  
  METHODS
  University hospital.
  
  
  METHODS
  64 patients with coronary artery disease and documented life threatening ventricular arrhythmias.
  
  
  METHODS
  Measurements of QT-max, QTc-max, and QT dispersion (QT-d) on a simultaneous 12 lead ECG (50 mm/s). Estimation of myocardial infarct size with radionuclide left ventricular ejection fraction (LVEF), echocardiography (left ventricular end diastolic diameter, LVEDD), and a defect score based on a quantitative stress redistribution 201-thallium perfusion study. Electrophysiological study to assess inducibility.
  
  
  RESULTS
  Mean (SD) QT parameters were: QT-max 440 (50) ms, QTc-max 475 (46) ms, and QT-d 47 (20) ms. Mean (SD) estimates of infarct size were: LVEF 34 (13)%, LVEDD 61 (9) mm, and defect score 18 (11). There was no significant correlation between any index of infarct size and QT parameters. QT parameters were not significantly different between patients with inducible (n = 57) and non-inducible arrhythmias (n = 7) (QT-max: 416 (30) v 443 (51) ms, p = 0.18; QTc-max 485 (34) v 473 (47) ms, p = 0.34; QT-d 47 (12) v 47 (21) ms, p = 0.73). Non-inducible patients had a significant lower defect score: 8 (9) v 19 (11), p = 0.02, but comparable LVEF: 38 (12)% v 34 (12)%, p = 0.58, and LVEDD: 54 (10) v 61 (8) mm, p = 0.13.
  
  
  CONCLUSIONS
  QT parameters are not influenced by infarct size and do not predict inducibility during electrophysiological study in patients with coronary artery disease and malignant ventricular arrhythmias. In contrast, the amount of scar tissue determined by perfusion imaging is strongly correlated with inducibility.
authors.affiliation: Department of Cardiology, University Hospital Gent, De Pintelaan 185, 9000 Gent, Belgium.
authors.forename: J
authors.initials: J
authors.lastname: De Sutter
authors.forename: R
authors.initials: R
authors.lastname: Tavernier
authors.forename: C
authors.initials: C
authors.lastname: Van De Wiele
authors.forename: J
authors.initials: J
authors.lastname: De Backer
authors.forename: J
authors.initials: J
authors.lastname: Kazmierczak
authors.forename: G
authors.initials: G
authors.lastname: De Backer
authors.forename: R
authors.initials: R
authors.lastname: Dierckx
authors.forename: L
authors.initials: L
authors.lastname: Jordaens
mesh_terms: D000368:Aged; D000704:Analysis of Variance; D003327:Coronary Disease / Q000000981:diagnostic imaging / Q000473:pathology / Q000503:physiopathology; D004452:Echocardiography; D004562:Electrocardiography; D005260:Female; D006321:Heart / Q000000981:diagnostic imaging; D006801:Humans; D008297:Male; D008875:Middle Aged; D009203:Myocardial Infarction / Q000000981:diagnostic imaging / Q000473:pathology* / Q000503:physiopathology; D011446:Prospective Studies; D011877:Radionuclide Imaging; D018709:Statistics, Nonparametric; D017180:Tachycardia, Ventricular / Q000000981:diagnostic imaging / Q000473:pathology / Q000503:physiopathology