Abstract 16416: Wide QRS-T Angle on the 12-lead ECG as a Predictor of Sudden Death Beyond the LV Ejection Fraction

Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
Kelvin C Chua ◽  
Carmen Teodorescu ◽  
Audrey Uy-Evanado ◽  
Kyndaron Reinier ◽  
Kumar Narayanan ◽  
...  

Introduction: If we are to improve risk stratification for sudden cardiac death (SCD) we should extend beyond the LV ejection fraction (LVEF). The frontal QRS-T angle has been shown to predict risk of SCD but its value independent of LVEF has not been investigated. Hypothesis: We hypothesize that a wide frontal QRS-T angle predicts SCD independent of LVEF. Methods: Cases of adult sudden cardiac arrest with an available electrocardiogram before the event were identified from a large ongoing population based study of SCD in the Northwest US (population approx. one million). Subjects with a computable frontal QRS-T angle were included. A total of 686 SCD cases (mean age 67.4 years; 95% CI, 52.5 to 82.3 years; 68.2% males; 83.5% whites) met criteria, and were compared to 871 controls with and without coronary artery disease (mean age 66.8 years, 55.3 to 78.3 years; 67.7% males; 90.6% whites) from the same geographical region. Results: The mean frontal QRS-T angle was higher in SCD cases (73.9 degrees; 95% CI, 17.5 to 130.3 degrees, p<0.0001) compared to controls (51.1 degrees; 95% CI 5.0 to 97.2 degrees). Using a cut-off of more than 90 degrees, the frontal QRS-T angle was predictive of SCD, and remained predictive, after adjusting for age, sex, left ventricular ejection fraction (LVEF), prolonged QTc, prolonged QRS duration and baseline comorbidities (OR 1.80; 95% CI, 1.27 to 2.55, p=0.001). On the receiver operating characteristic (ROC) curve, the QRS-T angle demonstrated an area-under-curve (AUC) value of 0.614. Compared to the lowest quartile of QRS-T angle, the highest quartile had nearly a triple increase in the risk of SCD (OR 2.71; 95% CI; 2.03 to 3.60; p<0.0001). Conclusion: A wide QRS-T angle greater than 90 degrees is associated with increased risk of sudden cardiac death independent of left ventricular ejection fraction.

ESC CardioMed ◽  
2018 ◽  
pp. 2327-2330
Author(s):  
Juan Fernandez-Armenta ◽  
Antonio Berruezo ◽  
Juan Acosta ◽  
Diego Penela

Risk stratification for sudden cardiac death (SCD) is one of the main objectives of clinical arrhythmology. Despite increased knowledge of the fundamental basis and predictors of SCD, the estimation of individual risk remains challenging. To date, symptomatic heart failure and reduced left ventricular ejection fraction are the main variables used to identify patients at high risk of SCD who could potentially benefit from preventive therapies. Beyond left ventricular ejection fraction, new diagnostic tools have been proposed to better stratify patients at risk of SCD. Among them, cardiovascular magnetic resonance imaging, which allows direct visualization of the arrhythmogenic substrate, is considered particularly promising. Genetic testing and serum biomarkers may also have a role in SCD risk assessment.


ESC CardioMed ◽  
2018 ◽  
pp. 2327-2330
Author(s):  
Juan Fernandez-Armenta ◽  
Antonio Berruezo ◽  
Juan Acosta ◽  
Diego Penela

Risk stratification for sudden cardiac death (SCD) is one of the main objectives of clinical arrhythmology. Despite increased knowledge of the fundamental basis and predictors of SCD, the estimation of individual risk remains challenging. To date, symptomatic heart failure and reduced left ventricular ejection fraction are the main variables used to identify patients at high risk of SCD who could potentially benefit from preventive therapies. Beyond left ventricular ejection fraction, new diagnostic tools have been proposed to better stratify patients at risk of SCD. Among them, cardiovascular magnetic resonance imaging, which allows direct visualization of the arrhythmogenic substrate, is considered particularly promising. Genetic testing and serum biomarkers may also have a role in SCD risk assessment.


ESC CardioMed ◽  
2018 ◽  
pp. 2309-2312
Author(s):  
Nikolaos Dagres ◽  
Gerhard Hindricks

Sudden cardiac death is a major cause of death in patients with ischaemic cardiomyopathy and mostly caused by ventricular tachyarrhythmias. Risk stratification has become of paramount importance especially after the development of implantable cardioverter defibrillators that terminate life-threatening ventricular tachyarrhythmic episodes very reliably. Numerous attempts have been performed to identify accurate risk stratification tools. Unfortunately, the success of these attempts has been rather limited. A severely reduced left ventricular ejection fraction has been convincingly shown to be associated with significantly increased mortality and risk for sudden cardiac death in ischaemic cardiomyopathy. For this reason, it is the main parameter used for risk stratification and for the decision to implant a cardioverter defibrillator for primary prevention of sudden cardiac death. However, left ventricular ejection fraction has several limitations as a stand-alone risk stratifier and has limited sensitivity and specificity. Several other tools have been proposed to improve risk prediction such as the patient’s clinical profile, ventricular ectopy, microvolt T-wave alternans, signal-averaged electrocardiogram, markers of autonomic tone, and also invasive programmed ventricular stimulation. However, none of these techniques has managed to establish itself in clinical practice as a major method for risk stratification.


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