title: The Selvester QRS Score is more accurate than Q waves and fragmented QRS complexes using the Mason-Likar configuration in estimating infarct volume in patients with ischemic cardiomyopathy.
abstract: Infarct volume independently predicts cardiovascular events. Fragmented QRS complexes (fQRS) may complement Q waves for identifying infarction; however, their utility in advanced coronary disease is unknown. We tested whether fQRS could improve the electrocardiographic prediction of infarct volume by positron emission tomography in 138 patients with ischemic cardiomyopathy (ejection fraction, 0.27 +/- 0.09). Indices of infarction (pathologic Q waves, fQRS, and Selvester QRS Score) were analyzed by blinded observers. In patients with QRS duration less than 120 milliseconds, number of leads with pathologic Q waves (mean, 1.6 +/- 1.7) correlated weakly with infarct volume (r = 0.30, P < .05). Adding fQRS increased the number of affected leads (3.6 +/- 2.5), but the significant correlation with infarct volume was lost (r = 0.02, P = .10). Selvester Score was the most accurate (mean, 5.9 +/- 4.9 points; r = 0.49; P < .001). Fragmented QRS was not predictive of infarct size in patients with QRS duration of at least 120 milliseconds (r = 0.02, P = .19). Thus, in ischemic cardiomyopathy, consideration of fQRS complexes does not improve Q wave prediction of infarct volume; but Selvester Score was more accurate.
authors.affiliation: School of Nursing, University at Buffalo, Buffalo, NY, USA.
authors.forename: Mary G
authors.initials: MG
authors.lastname: Carey
authors.forename: Andrew J
authors.initials: AJ
authors.lastname: Luisi
authors.forename: Sunil
authors.initials: S
authors.lastname: Baldwa
authors.forename: Salah
authors.initials: S
authors.lastname: Al-Zaiti
authors.forename: Marc J
authors.initials: MJ
authors.lastname: Veneziano
authors.forename: Robert A
authors.initials: RA
authors.lastname: deKemp
authors.forename: John M
authors.initials: JM
authors.lastname: Canty
authors.forename: James A
authors.initials: JA
authors.lastname: Fallavollita
mesh_terms: D000368:Aged; D000465:Algorithms; D009202:Cardiomyopathies / Q000175:diagnosis* / Q000209:etiology*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D004562:Electrocardiography / Q000379:methods*; D005260:Female; D006801:Humans; D008297:Male; D009203:Myocardial Infarction; D017202:Myocardial Ischemia / Q000150:complications* / Q000175:diagnosis*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012720:Severity of Illness Index
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