Literature DB >> 19249795

Detection of stress-induced myocardial ischemia from the depolarization phase of the cardiac cycle--a preliminary study.

Eran Toledo1, Jonathan A Lipton, Stafford G Warren, Shimon Abboud, Mike Broce, Donald R Lilly, Charles Maynard, B Daniel Lucas, Galen S Wagner.   

Abstract

BACKGROUND: Electrocardiogram (ECG)-based detection of ischemia is typically dependent on identifying changes in repolarization. Analysis of high-frequency QRS (HFQRS) components, related to the depolarization phase of the cardiac action potential, has been reported to better identify ischemia. Our aim was to test the hypothesis that HFQRS analysis is both more sensitive and specific than standard ECG for detecting exercise-induced ischemia in patients undergoing exercise myocardial perfusion imaging (MPI).
METHODS: Exercise MPI was performed in 133 consecutive patients (age, 63 +/- 12; 100 males) and used as the gold standard for ischemia. Patients with QRS duration more than 120 milliseconds (n = 20), technical problems (n = 8), or inconclusive MPI (n = 4) were excluded, leaving 101 patients for analysis. Conventional ECG was combined with high-resolution ECG acquisition that was digitized and analyzed using the HyperQ System (BSP, Tel Aviv, Israel). The relative HFQRS intensity change during exercise was used as an index of ischemia.
RESULTS: Of the 101 patients who were included in the analysis, 19 exhibited MPI ischemia. The HFQRS index of ischemia was found to be more sensitive (79% vs 41%; P < .05) and more specific (71% vs 57%; P < .05) than conventional ST analysis.
CONCLUSIONS: The HFQRS analysis was more sensitive and specific than conventional ECG interpretation in detecting exercise-induced ischemia and exhibited enhanced diagnostic performance in both women and men. Thus, it may aid in the noninvasive diagnosis of ischemic heart disease.

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Year:  2009        PMID: 19249795     DOI: 10.1016/j.jelectrocard.2008.12.023

Source DB:  PubMed          Journal:  J Electrocardiol        ISSN: 0022-0736            Impact factor:   1.438


  5 in total

1.  High-frequency QRS analysis in patients with acute myocardial infarction: a preliminary study.

Authors:  Guy Amit; Ori Galante; Linda R Davrath; Oded Luria; Shimon Abboud; Doron Zahger
Journal:  Ann Noninvasive Electrocardiol       Date:  2012-11-22       Impact factor: 1.468

2.  Improved detection of ischemic heart disease by combining high-frequency electrocardiogram analysis with exercise stress echocardiography.

Authors:  Jin-Oh Choi; Sung-A Chang; Sung Ji Park; Sang-Chol Lee; Seung Woo Park
Journal:  Korean Circ J       Date:  2013-10-30       Impact factor: 3.243

3.  High-frequency QRS analysis to supplement ST evaluation in exercise stress electrocardiography: Incremental diagnostic accuracy and net reclassification.

Authors:  Pelbreton C Balfour; Jorge A Gonzalez; Peter W Shaw; Margarita P Caminero; Eric M Holland; Jack W Melson; Michael Sobczak; Valerie Izarnotegui; Denny D Watson; George A Beller; Jamieson M Bourque
Journal:  J Nucl Cardiol       Date:  2018-11-30       Impact factor: 5.952

4.  Discriminant analysis between myocardial infarction patients and healthy subjects using wavelet transformed signal averaged electrocardiogram and probabilistic neural network.

Authors:  Ahmad Keshtkar; Hadi Seyedarabi; Peyman Sheikhzadeh; Seyed Hossein Rasta
Journal:  J Med Signals Sens       Date:  2013-10

5.  Ventricular depolarisation vectors in exercise induced myocardial ischaemia.

Authors:  Cameruddin W Vellani; Mohammad Yusuf; Sadia Mahmud; Satwat Hashmi
Journal:  Sci Rep       Date:  2017-11-07       Impact factor: 4.379

  5 in total

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