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      A detailed guide for quantification of myocardial scar with the Selvester QRS score in the presence of electrocardiogram confounders.

      Journal of Electrocardiology
      Cicatrix, pathology, physiopathology, Diagnosis, Computer-Assisted, methods, Electrocardiography, Heart Conduction System, Humans, Myocardial Infarction, Predictive Value of Tests, Risk Assessment

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          Abstract

          The Selvester QRS score translates subtle changes in ventricular depolarization measured by the electrocardiogram into information about myocardial scar location and size. This estimated scar has been shown to have a high degree of correlation with autopsy-measured myocardial infarct size. In addition, multiple studies have demonstrated the value of the QRS score in post-myocardial infarct patients to provide prognostic information. Recent studies have demonstrated that increasing QRS score is predictive of increased implantable defibrillator shocks for ventricular tachycardia and fibrillation as well as decreased response to cardiac resynchronization therapy. Although QRS scoring has never achieved widespread clinical use, increased interest in patient selection and risk-stratification techniques for implantable defibrillators and cardiac resynchronization therapy has led to renewed interest in QRS scoring and its potential to identify which patients will benefit from device therapy. The QRS score criteria were updated in 2009 to expand their use to a broader population by accounting for the different ventricular depolarization sequences in patients with bundle-branch/fascicular blocks or ventricular hypertrophy. However, these changes also introduced additional complexity and nuance to the scoring procedure. This article provides detailed instructions and examples on how to apply the QRS score criteria in the presence of confounding conduction types to facilitate understanding and enable development and application of automated QRS scoring. Published by Elsevier Inc.

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          Journal
          21872001
          3164517
          10.1016/j.jelectrocard.2011.06.008

          Chemistry
          Cicatrix,pathology,physiopathology,Diagnosis, Computer-Assisted,methods,Electrocardiography,Heart Conduction System,Humans,Myocardial Infarction,Predictive Value of Tests,Risk Assessment

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