Literature DB >> 19324258

Post-exercise assessment of cardiac repolarization alternans in patients with coronary artery disease using the modified moving average method.

Michael P Slawnych1, Tuomo Nieminen, Mika Kähönen, Katherine M Kavanagh, Terho Lehtimäki, Darlene Ramadan, Jari Viik, Sandeep G Aggarwal, Rami Lehtinen, Linda Ellis, Kjell Nikus, Derek V Exner.   

Abstract

OBJECTIVES: We sought to evaluate the utility of T-wave alternans (TWA) assessment in the immediate post-exercise period to identify and validate cutpoints for the modified moving average (MMA) assessment method.
BACKGROUND: The presence of TWA is associated with an increased risk of cardiovascular death (CVD). The immediate post-exercise period, where increased physiologic stress and minimal surface artifact coexist, appears ideal to implement the MMA method.
METHODS: A test (n = 322) and validation cohort (n = 681) provided 1,003 patients with coronary artery disease (CAD). We assessed TWA immediately after exercise. The outcomes, CVD and mortality, were adjudicated independent of the TWA results.
RESULTS: During 48 months of follow-up 85 deaths, 54 categorized as CVD (64%), were observed. A linear relationship between the magnitude of TWA and the risk of CVD was identified. As a continuous measure TWA voltage was equivalent to ejection fraction in predicting the risk of CVD. To facilitate clinical application, a sensitive, modest predictive accuracy (20 microV) and a specific, greater predictive accuracy MMA cutpoint (60 microV) were identified and validated. Each cutpoint was associated with a 2.5-fold greater risk of CVD, independent of other important variables, including ejection fraction.
CONCLUSIONS: Post-exercise assessment of TWA using the MMA method is a strong, independent predictor of risk in patients with CAD. The 20-microV cutpoint (87% sensitivity) appears to be most suitable in higher-risk patients, whereas the 60-microV cutpoint (95% specificity) appears more appropriate when TWA is used as a single screening test in those at lower risk. (Assessment of Noninvasive Methods to Identify Patients at Risk of Serious Arrhythmias After a Heart Attack; NCT00399503).

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Year:  2009        PMID: 19324258     DOI: 10.1016/j.jacc.2008.12.026

Source DB:  PubMed          Journal:  J Am Coll Cardiol        ISSN: 0735-1097            Impact factor:   24.094


  16 in total

Review 1.  Usefulness of T-wave alternans in sudden death risk stratification and guiding medical therapy.

Authors:  Tuomo Nieminen; Richard L Verrier
Journal:  Ann Noninvasive Electrocardiol       Date:  2010-07       Impact factor: 1.468

2.  Treatment options for patients with coronary artery disease identified as high risk by T-wave alternans testing.

Authors:  Kapil Kumar; Kevin F Kwaku; Richard L Verrier
Journal:  Curr Treat Options Cardiovasc Med       Date:  2008-02

Review 3.  Heart rate, autonomic markers, and cardiac mortality.

Authors:  Richard L Verrier; Alex Tan
Journal:  Heart Rhythm       Date:  2009-09-01       Impact factor: 6.343

4.  Prevalence of arrhythmia-associated gene mutations and risk of sudden cardiac death in the Finnish population.

Authors:  Annukka M Lahtinen; Aki S Havulinna; Peter A Noseworthy; Antti Jula; Pekka J Karhunen; Markus Perola; Christopher Newton-Cheh; Veikko Salomaa; Kimmo Kontula
Journal:  Ann Med       Date:  2013-05-08       Impact factor: 4.709

5.  Heart Rate Turbulence and T-Wave Alternans in Patients with Coronary Artery Disease: The Influence of Diabetes.

Authors:  Juha Perkiömäki; Derek V Exner; Olli-Pekka Piira; Katherine Kavanagh; Samuli Lepojärvi; Mario Talajic; Jarkko Karvonen; Francois Philippon; Juhani Junttila; Benoit Coutu; Heikki Huikuri
Journal:  Ann Noninvasive Electrocardiol       Date:  2015-01-15       Impact factor: 1.468

Review 6.  Microvolt T-wave alternans physiological basis, methods of measurement, and clinical utility--consensus guideline by International Society for Holter and Noninvasive Electrocardiology.

Authors:  Richard L Verrier; Thomas Klingenheben; Marek Malik; Nabil El-Sherif; Derek V Exner; Stefan H Hohnloser; Takanori Ikeda; Juan Pablo Martínez; Sanjiv M Narayan; Tuomo Nieminen; David S Rosenbaum
Journal:  J Am Coll Cardiol       Date:  2011-09-20       Impact factor: 24.094

Review 7.  Surface Electrocardiogram Predictors of Sudden Cardiac Arrest.

Authors:  Samy A Abdelghani; Todd M Rosenthal; Daniel P Morin
Journal:  Ochsner J       Date:  2016

8.  Deceleration Capacity of Heart Rate Predicts Arrhythmic and Total Mortality in Heart Failure Patients.

Authors:  Petros Arsenos; George Manis; Konstantinos A Gatzoulis; Polychronis Dilaveris; Theodoros Gialernios; Athanasios Angelis; Achileas Papadopoulos; Erifili Venieri; Athanasios Trikas; Dimitris Tousoulis
Journal:  Ann Noninvasive Electrocardiol       Date:  2016-04-01       Impact factor: 1.468

9.  Machine Learning Methods for Predicting Human-Adaptive Influenza A Viruses Based on Viral Nucleotide Compositions.

Authors:  Jing Li; Sen Zhang; Bo Li; Yi Hu; Xiao-Ping Kang; Xiao-Yan Wu; Meng-Ting Huang; Yu-Chang Li; Zhong-Peng Zhao; Cheng-Feng Qin; Tao Jiang
Journal:  Mol Biol Evol       Date:  2020-04-01       Impact factor: 16.240

10.  Sympathetic activity-associated periodic repolarization dynamics predict mortality following myocardial infarction.

Authors:  Konstantinos D Rizas; Tuomo Nieminen; Petra Barthel; Christine S Zürn; Mika Kähönen; Jari Viik; Terho Lehtimäki; Kjell Nikus; Christian Eick; Tim O Greiner; Hans P Wendel; Peter Seizer; Jürgen Schreieck; Meinrad Gawaz; Georg Schmidt; Axel Bauer
Journal:  J Clin Invest       Date:  2014-03-18       Impact factor: 14.808

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