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ECG quantification of myocardial scar and risk stratification in MADIT-II.

Publication ,  Journal Article
Loring, Z; Zareba, W; McNitt, S; Strauss, DG; Wagner, GS; Daubert, JP
Published in: Ann Noninvasive Electrocardiol
September 2013

BACKGROUND: Low left ventricular ejection fraction (LVEF) increases risk for both sudden cardiac death (SCD) and for heart failure (HF) death; however, implantable cardioverter-defibrillators (ICDs) reduce the incidence of SCD, not HF death. Distinguishing individuals at risk for HF death (non-SCD) versus SCD could improve ICD patient selection. OBJECTIVE: This study evaluated whether electrocardiogram (ECG) quantification of myocardial infarction (MI) could discriminate risk for SCD versus non-SCD. METHODS: Selvester QRS scoring was performed on 995 MADIT-II trial subjects' ECGs to quantify MI size. MIs were categorized as small (0-3 QRS points), medium (4-7) or large (≥ 8). Mortality, SCD and non-SCD rates in the conventional medical therapy (CMT) arm and mortality and ventricular tachycardia/fibrillation (VT/VF) rates in the ICD arm were analyzed by QRS score group. Both arms were analyzed to determine ICD efficacy by QRS score group. RESULTS: In the CMT arm, mortality, SCD and non-SCD rates were similar across QRS score groups (P = 0.73, P = 0.92, and P = 0.77). The ICD arm showed similar rates of mortality (P = 0.17) and VT/VF (P = 0.24) across QRS score groups. ICD arm mortality was lower than CMT arm mortality across QRS score groups with greatest benefit in the large scar group. CONCLUSION: Recently, QRS score was shown to be predictive of VT/VF in the SCD-HeFT population consisting of both ischemic and nonischemic HF and having a maximum LVEF of 35% versus 30% for MADIT-II. Our study found that QRS score did not add prognostic value in the MADIT-II population exhibiting relatively more severe cardiac dysfunction.

Duke Scholars

Published In

Ann Noninvasive Electrocardiol

DOI

EISSN

1542-474X

Publication Date

September 2013

Volume

18

Issue

5

Start / End Page

427 / 435

Location

United States

Related Subject Headings

  • Ventricular Dysfunction, Left
  • Severity of Illness Index
  • Risk Factors
  • Risk Assessment
  • Proportional Hazards Models
  • Prognosis
  • Myocardial Infarction
  • Middle Aged
  • Male
  • Humans
 

Citation

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Loring, Z., Zareba, W., McNitt, S., Strauss, D. G., Wagner, G. S., & Daubert, J. P. (2013). ECG quantification of myocardial scar and risk stratification in MADIT-II. Ann Noninvasive Electrocardiol, 18(5), 427–435. https://doi.org/10.1111/anec.12065
Loring, Zak, Wojciech Zareba, Scott McNitt, David G. Strauss, Galen S. Wagner, and James P. Daubert. “ECG quantification of myocardial scar and risk stratification in MADIT-II.Ann Noninvasive Electrocardiol 18, no. 5 (September 2013): 427–35. https://doi.org/10.1111/anec.12065.
Loring Z, Zareba W, McNitt S, Strauss DG, Wagner GS, Daubert JP. ECG quantification of myocardial scar and risk stratification in MADIT-II. Ann Noninvasive Electrocardiol. 2013 Sep;18(5):427–35.
Loring, Zak, et al. “ECG quantification of myocardial scar and risk stratification in MADIT-II.Ann Noninvasive Electrocardiol, vol. 18, no. 5, Sept. 2013, pp. 427–35. Pubmed, doi:10.1111/anec.12065.
Loring Z, Zareba W, McNitt S, Strauss DG, Wagner GS, Daubert JP. ECG quantification of myocardial scar and risk stratification in MADIT-II. Ann Noninvasive Electrocardiol. 2013 Sep;18(5):427–435.
Journal cover image

Published In

Ann Noninvasive Electrocardiol

DOI

EISSN

1542-474X

Publication Date

September 2013

Volume

18

Issue

5

Start / End Page

427 / 435

Location

United States

Related Subject Headings

  • Ventricular Dysfunction, Left
  • Severity of Illness Index
  • Risk Factors
  • Risk Assessment
  • Proportional Hazards Models
  • Prognosis
  • Myocardial Infarction
  • Middle Aged
  • Male
  • Humans