title: Electrocardiographic predictors of sudden cardiac death.
abstract: Sudden cardiac death (SCD) is widespread and the most serious of the cardiac diseases, accounting for over half of cardiovascular mortality in adults in the United States, and nearly 1 in 3 of these patients does not report symptoms of cardiac disease before the sudden death. Quantifying the left ventricular ejection fraction is currently the best way to risk-stratify patients for SCD and identify those who are most likely to benefit from the insertion of an implantable cardiac defibrillator (ICD). The strategy of systemically placing ICDs in patients at risk of SCD is expensive and leads to substantial psychological hardship. However, noninvasive electrocardiographic indices of depolarization and repolarization may better identify patients who are at an increased risk of SCD. Therefore, developing an approach to identify electrocardiographic changes associated with the highest risk of arrhythmic death could markedly improve patient selection for ICD therapy. This report describes electrocardiographic parameters that may be useful in identifying patients at risk of SCD. The state of the science currently suggests that it is unlikely that a single electrocardiographic parameter will predict SCD, but rather a risk stratification algorithm based on a combination of electrocardiographic parameters may yield the best result.
authors.affiliation: School of Nursing, The State University of New York at Buffalo, NY 14214, USA. mgcarey@buffalo.edu
authors.forename: Mary G
authors.initials: MG
authors.lastname: Carey
mesh_terms: D000465:Algorithms; D001145:Arrhythmias, Cardiac / Q000150:complications / Q000175:diagnosis* / Q000628:therapy; D016757:Death, Sudden, Cardiac; D017147:Defibrillators, Implantable; D004562:Electrocardiography; D006801:Humans; D018579:Patient Selection; D011237:Predictive Value of Tests; D018570:Risk Assessment