Literature DB >> 16337496

Turbulence dynamics: an independent predictor of late mortality after acute myocardial infarction.

Axel Bauer1, Marek Malik, Petra Barthel, Raphael Schneider, Mari A Watanabe, A John Camm, Albert Schömig, Georg Schmidt.   

Abstract

INTRODUCTION: The prognostic value of heart rate turbulence for predicting mortality after acute myocardial infarction is well established. This study investigates a new measure of heart rate turbulence, termed turbulence dynamics, which quantifies the relationship between turbulence slope and underlying heart rate (HR(VPC)).
METHODS: Six hundred eight patients participating in the European Myocardial Infarction Amiodarone Trial had > or =25 ventricular premature complexes/24 h. During a follow-up period of 21 months (median), 120 patients died. Turbulence dynamics was assessed as the slope of the regression line between turbulence slope and HR(VPC). Survival analyses included age, history of previous myocardial infarction, presence of diabetes mellitus, mean normal-to-normal interval, heart rate variability index, presence of non-sustained ventricular tachycardia, left ventricular ejection fraction, turbulence onset and turbulence slope. All risk predictors were dichotomized at pre-defined cut-off points, turbulence dynamics was dichotomized at the median. Primary endpoint of the study was death of any cause.
RESULTS: In most patients, turbulence slope was inversely correlated to HR(VPC). Univariately, turbulence dynamics was the second strongest risk predictor of mortality (relative risk 2.4 (95% confidence interval 1.6-3.6), p<0.001). Multivariately, turbulence dynamics was the third strongest risk predictor (1.7 (1.1-2.7, p<0.01)).
CONCLUSION: In the patient population studied, turbulence dynamics was an independent predictor of mortality. The results indicate that in addition to the overall level of autonomic function the loss of autonomic adaptability contributes to prognosis.

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Year:  2006        PMID: 16337496     DOI: 10.1016/j.ijcard.2005.02.037

Source DB:  PubMed          Journal:  Int J Cardiol        ISSN: 0167-5273            Impact factor:   4.164


  7 in total

1.  Heart rate turbulence parameters correlate with post-premature ventricular contraction changes in muscle sympathetic activity.

Authors:  Nathan M Segerson; Stephen L Wasmund; Moeen Abedin; Rakesh K Pai; Marcos Daccarett; Nazem Akoum; T Scott Wall; Richard C Klein; Roger A Freedman; Mohamed H Hamdan
Journal:  Heart Rhythm       Date:  2006-11-01       Impact factor: 6.343

2.  An artificial vector model for generating abnormal electrocardiographic rhythms.

Authors:  Gari D Clifford; Shamim Nemati; Reza Sameni
Journal:  Physiol Meas       Date:  2010-03-22       Impact factor: 2.833

3.  Heart rate variability and heart rate turbulence in patients with polycystic ovary syndrome.

Authors:  Gülay Özkeçeci; Bekir Serdar Ünlü; Hüseyin Dursun; Önder Akçi; Gülengül Köken; Ersel Onrat; Alaettin Avşar
Journal:  Anatol J Cardiol       Date:  2015-06-18       Impact factor: 1.596

4.  Altered Heart Rate Turbulence and Variability Parameters Predict 1-Year Mortality in Heart Failure with Preserved Ejection Fraction.

Authors:  Jus Ksela; Lea Rupert; Anze Djordjevic; Miha Antonic; Viktor Avbelj; Borut Jug
Journal:  J Cardiovasc Dev Dis       Date:  2022-07-02

5.  Ambulatory ECG-based T-wave alternans and heart rate turbulence can predict cardiac mortality in patients with myocardial infarction with or without diabetes mellitus.

Authors:  Ren Li-na; Fang Xin-hui; Ren Li-dong; Gong Jian; Wang Yong-quan; Qi Guo-xian
Journal:  Cardiovasc Diabetol       Date:  2012-09-06       Impact factor: 9.951

6.  Prognostic value of heart rate turbulence for risk assessment in patients with unstable angina and non-ST elevation myocardial infarction.

Authors:  Patricia R E Harris; Phyllis K Stein; Gordon L Fung; Barbara J Drew
Journal:  Vasc Health Risk Manag       Date:  2013-08-12

7.  Reduced heart rate response after premature ventricular contraction depending on severity of atrial fibrillation symptoms - Analysis on heart rate turbulence in atrial fibrillation patients.

Authors:  Hisaki Makimoto; Christian Blockhaus; Christian Meyer; Tina Lin; Christiane Jungen; Christian Eickholt; Lukas Clasen; Jan Schmidt; Muhammed Kurt; Patrick Müller; Dong-In Shin; Malte Kelm; Alexander Fürnkranz
Journal:  Int J Cardiol Heart Vasc       Date:  2018-02-26
  7 in total

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