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Marek Malik

Researcher at National Institutes of Health

Publications -  548
Citations -  63023

Marek Malik is an academic researcher from National Institutes of Health. The author has contributed to research in topics: QT interval & Myocardial infarction. The author has an hindex of 78, co-authored 535 publications receiving 58778 citations. Previous affiliations of Marek Malik include St. George's University & Imperial College London.

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Influence of age on the relation between heart rate variability, left ventricular ejection fraction, frequency of ventricular extrasystoles, and sudden death after myocardial infarction.

TL;DR: In postinfarction patients aged < 60 sudden death was a more predominant mode of death and was more reliably predicted from a depressed HRv index, an LVEF < 40%, and VE10 than in older postinfARction patients.
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Selection of dichotomy limits for multifactorial prediction of arrhythmic events and mortality in survivors of acute myocardial infarction

TL;DR: Dichotomy limits derived from univariate analyses do not optimally predict events when used in the multivariate setting and risk stratification can be improved by using several variables in combination and is furtherImproved by using dichotomy limits of these variables which are different from those used in or derived fromUnivariate analyses.
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Beat-to-beat QT variability and cardiac autonomic regulation.

TL;DR: Electrocardiographic equipment allows easy collection of large volumes of digital signals, and beat-to-beat QT interval variability has attracted some popularity.
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Heart rate dependency of JT interval sections

TL;DR: The Tpeak-Tend is only minimally heart rate dependent and in studies not showing substantial heart rate changes does not need to be heart rate corrected.
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Ambulatory Assessment of the QT Interval in Patients with Hypertrophic Cardiomyopathy: Risk Stratification and Effect of Low Dose Amiodarone

TL;DR: Ambulatory assessment of the QT interval provides an alternative method for the Assessment of ventricular repolarization and for the assessment of use dependent effects of anti arrhythmic drugs on ventricularRepolarization during normal daily activities, however, this method does not help in the identification of patients at high risk of SCD in HCM.