Literature DB >> 25589197

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

Juha Perkiömäki1, Derek V Exner2, Olli-Pekka Piira1, Katherine Kavanagh2, Samuli Lepojärvi1, Mario Talajic3, Jarkko Karvonen1, Francois Philippon4, Juhani Junttila1, Benoit Coutu5, Heikki Huikuri1.   

Abstract

BACKGROUND: Patients with diabetes mellitus (DM) have a higher risk of sudden cardiac death. Factors associated with the risk profiles of coronary artery disease (CAD) patients with DM are not well established. Heart rate turbulence (HRT) and T-wave alternans (TWA) are often used to predict arrhythmia events. METHODS AND
RESULTS: HRT and TWA were measured in two independent groups: the ARTEMIS cohort study and the REFINE-ICD randomized trial. ARTEMIS assesses risk 3-12 months after coronary angiography in patients with CAD. The initial 1001 patients in ARTEMIS, 526 with and 475 without DM, are included in this analysis. REFINE-ICD compares usual care versus usual care plus ICD therapy in patients with left ventricular (LV) ejection fraction (EF) values of 36-50% assessed 2-15 months after myocardial infarction. The initial 275 patients screened in REFINE ICD are included in this analysis. Abnormal HRT plus TWA was more common in patients with versus without DM in ARTEMIS (125/526, 24% vs 63/475, 13%; P < 0.001) and REFINE-ICD (43/55, 78% vs 55/220, 25%; P < 0.001), respectively. Abnormal HRT plus TWA was also more common in patients with LVEF values < 50% (28%) vs ≥ 50% (18%; P < 0.001) in ARTEMIS and LVEF values below the population median of 42% (60/138, 43%) versus above the median (38/137, 28%; P < 0.01) in REFINE-ICD.
CONCLUSIONS: Abnormal HRT plus TWA is more common in CAD patients with DM compared with the patients without DM and is related to the severity of LV dysfunction. CLINICAL TRIAL REGISTRATION INFORMATION: http://www.clinicaltrials.gov, NCT01426685; http://www.clinicaltrials.gov, NCT00673842.
© 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  T-wave alternans; coronary artery disease; diabetes; heart rate turbulence; myocardial infarction; sudden cardiac death

Mesh:

Year:  2015        PMID: 25589197      PMCID: PMC6931720          DOI: 10.1111/anec.12244

Source DB:  PubMed          Journal:  Ann Noninvasive Electrocardiol        ISSN: 1082-720X            Impact factor:   1.468


  36 in total

1.  Heart rate turbulence: standards of measurement, physiological interpretation, and clinical use: International Society for Holter and Noninvasive Electrophysiology Consensus.

Authors:  Axel Bauer; Marek Malik; Georg Schmidt; Petra Barthel; Hendrik Bonnemeier; Iwona Cygankiewicz; Przemyslaw Guzik; Federico Lombardi; Alexander Müller; Ali Oto; Raphael Schneider; Mari Watanabe; Dan Wichterle; Wojciech Zareba
Journal:  J Am Coll Cardiol       Date:  2008-10-21       Impact factor: 24.094

2.  T wave alternans as a predictor of recurrent ventricular tachyarrhythmias in ICD recipients: prospective comparison with conventional risk markers.

Authors:  S H Hohnloser; T Klingenheben; Y G Li; M Zabel; J Peetermans; R J Cohen
Journal:  J Cardiovasc Electrophysiol       Date:  1998-12

3.  Heart rate turbulence can predict cardiac mortality following myocardial infarction in patients with diabetes mellitus.

Authors:  Yosuke Miwa; Mutsumi Miyakoshi; Kyoko Hoshida; Ryoji Yanagisawa; Atsuko Abe; Takehiro Tsukada; Haruhisa Ishiguro; Hisaaki Mera; Satoru Yusu; Hideaki Yoshino; Takanori Ikeda
Journal:  J Cardiovasc Electrophysiol       Date:  2011-05-03

Review 4.  Noninvasive sudden death risk stratification by ambulatory ECG-based T-wave alternans analysis: evidence and methodological guidelines.

Authors:  Richard L Verrier; Bruce D Nearing; Kevin F Kwaku
Journal:  Ann Noninvasive Electrocardiol       Date:  2005-01       Impact factor: 1.468

5.  Electrical alternans and vulnerability to ventricular arrhythmias.

Authors:  D S Rosenbaum; L E Jackson; J M Smith; H Garan; J N Ruskin; R J Cohen
Journal:  N Engl J Med       Date:  1994-01-27       Impact factor: 91.245

6.  Diabetes and cardiovascular risk factors: the Framingham study.

Authors:  W B Kannel; D L McGee
Journal:  Circulation       Date:  1979-01       Impact factor: 29.690

7.  Noninvasive risk assessment early after a myocardial infarction the REFINE study.

Authors:  Derek V Exner; Katherine M Kavanagh; Michael P Slawnych; L Brent Mitchell; Darlene Ramadan; Sandeep G Aggarwal; Catherine Noullett; Allie Van Schaik; Ryan T Mitchell; Mariko A Shibata; Sajad Gulamhussein; James McMeekin; Wayne Tymchak; Gregory Schnell; Anne M Gillis; Robert S Sheldon; Gordon H Fick; Henry J Duff
Journal:  J Am Coll Cardiol       Date:  2007-11-26       Impact factor: 24.094

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

Authors:  Michael P Slawnych; 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
Journal:  J Am Coll Cardiol       Date:  2009-03-31       Impact factor: 24.094

9.  T-wave alternans predicts mortality in a population undergoing a clinically indicated exercise test.

Authors:  Tuomo Nieminen; Terho Lehtimäki; Jari Viik; Rami Lehtinen; Kjell Nikus; Tiit Kööbi; Kari Niemelä; Väinö Turjanmaa; Willi Kaiser; Heini Huhtala; Richard L Verrier; Heikki Huikuri; Mika Kähönen
Journal:  Eur Heart J       Date:  2007-07-25       Impact factor: 29.983

10.  Prediction of fatal or near-fatal cardiac arrhythmia events in patients with depressed left ventricular function after an acute myocardial infarction.

Authors:  Heikki V Huikuri; M J Pekka Raatikainen; Rikke Moerch-Joergensen; Juha Hartikainen; Vesa Virtanen; Jean Boland; Olli Anttonen; Nis Hoest; Lucas V A Boersma; Eivind S Platou; Marc D Messier; Poul-Erik Bloch-Thomsen
Journal:  Eur Heart J       Date:  2009-01-20       Impact factor: 29.983

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  4 in total

1.  Temporal changes of noninvasive electrocardiographic risk factors for sudden cardiac death in post-myocardial infarction patients with preserved ejection fraction: Insights from the PRESERVE-EF study.

Authors:  Iosif Xenogiannis; Konstantinos A Gatzoulis; Panagiota Flevari; Ignatios Ikonomidis; Efstathios Iliodromitis; Konstantinos Trachanas; Konstantinos Vlachos; Petros Arsenos; Dimitrios Tsiachris; Dimitrios Tousoulis; Emmanouil S Brilakis; Dimitrios Alexopoulos
Journal:  Ann Noninvasive Electrocardiol       Date:  2019-10-12       Impact factor: 1.468

2.  Simple electrocardiographic measures improve sudden arrhythmic death prediction in coronary disease.

Authors:  Neal A Chatterjee; Jani T Tikkanen; Gopi K Panicker; Dhiraj Narula; Daniel C Lee; Tuomas Kentta; Juhani M Junttila; Nancy R Cook; Alan Kadish; Jeffrey J Goldberger; Heikki V Huikuri; Christine M Albert
Journal:  Eur Heart J       Date:  2020-06-01       Impact factor: 29.983

3.  Association of Implantable Cardioverter Defibrillators With Survival in Patients With and Without Improved Ejection Fraction: Secondary Analysis of the Sudden Cardiac Death in Heart Failure Trial.

Authors:  Selcuk Adabag; Kristen K Patton; Alfred E Buxton; Thomas S Rector; Kristine E Ensrud; Kairav Vakil; Wayne C Levy; Jeanne E Poole
Journal:  JAMA Cardiol       Date:  2017-07-01       Impact factor: 14.676

4.  Polyscore of Non-invasive Cardiac Risk Factors.

Authors:  Alexander Steger; Alexander Müller; Petra Barthel; Michael Dommasch; Katharina Maria Huster; Katerina Hnatkova; Daniel Sinnecker; Alexander Hapfelmeier; Marek Malik; Georg Schmidt
Journal:  Front Physiol       Date:  2019-02-04       Impact factor: 4.566

  4 in total

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