Electrocardiographic prediction of arrhythmias
Name
Syed-2009-Electrocardiographic prediction of arrhythmias.pdf
Size
134.88 KB
Format
Adobe PDF
Checksum (MD5)
8c9bf2875ab23ed3b51edf1ed85c9d52
Author(s)
Syed, Z.
Scirica, B. M.
Stultz, Collin M.
Guttag, John V.
Alternative Title
Computers in Cardiology, 2009
Date Issued
April 2010
Publisher
Institute of Electrical and Electronics Engineers
Citation
Syed, Z., et al. “Electrocardiographic prediction of arrhythmias.” Computers in Cardiology, 2009. 2009. 565-567. ©2009 IEEE
Version
Final published version
Abstract
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.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5445345
