Electrocardiographic prediction of arrhythmias
Author(s)Syed, Z.; Scirica, B. M.; Stultz, Collin M.; Guttag, John V.
Computers in Cardiology, 2009
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Information in electrocardiographic (ECG) signals is widely believed to have value in the short-term prediction of arrhythmias. This study evaluates the use of morphologic variability (MV), a recently proposed metric measuring subtle variability in the shape of ECG signals over long periods, to risk stratify patients for arrhythmia following non-ST-elevation acute coronary syndrome (NSTEACS). We assessed the relationship between MV and the composite occurrence of ventricular tachycardia and cardiac pause (150 events) in 2302 patients admitted post-NSTEACS. On univariate analysis, high MV was strongly associated with the short-term occurrence of arrhythmias (HR 2.02; 95% CI 1.42-2.87; p < 0.001). The relationship between MV and arrhythmias was consistent even after adjusting for other risk variables (adjusted HR 2.04; 95% CI 1.37 - 3.03; p < 0.001). Our results suggest that MV may be a clinically useful tool for identifying patients at an increased short-term risk of serious arrhythmias in the setting of NSTEACS.
DepartmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Institute of Electrical and Electronics Engineers
Syed, Z., et al. “Electrocardiographic prediction of arrhythmias.” Computers in Cardiology, 2009. 2009. 565-567. ©2009 IEEE
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INSPEC Accession Number: 11229460