M
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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Journal ArticleDOI
Measurement and interpretation of QT dispersion
TL;DR: It was shown that QT dispersion is not a direct reflection of the spatial variation of the recovery times and cannot be used for quantification of this variation, and inferences about the actual dispersion of the ventricular recovery times should not be made.
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Subject-specific heart rate dependency of electrocardiographic QT, PQ, and QRS intervals
TL;DR: Not only the heart rate dependency of QT interval but also the rate dependencies of PQ interval and of QRS width show high intrasubject stability with substantial intersubject differences.
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Hemodynamics and Autonomic Control of Heart Rate Turbulence
TL;DR: Late heart rate deceleration parallels the increase of systolic blood pressure during heart rate turbulence (HRT) after ventricular premature complexes (VPC), consistent with the involvement of baroreflex mechanism.
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Reflex and Tonic Autonomic Markers for Risk Stratification in Patients With Type 2 Diabetes Surviving Acute Myocardial Infarction
Petra Barthel,Axel Bauer,Alexander Müller,Nadine Junk,Katharina M. Huster,Kurt Ulm,Marek Malik,Georg Schmidt +7 more
TL;DR: Combined abnormalities of autonomic reflex function and autonomic tonic activity identifies diabetic postinfarction patients with very poor prognoses.
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Repolarization Abnormality for Prediction of All-Cause and Cardiovascular Mortality in American Indians: The Strong Heart Study
Peter M. Okin,Marek Malik,Katerina Hnatkova,Elisa T. Lee,James M. Galloway,Lyle G. Best,Barbara V. Howard,Richard B. Devereux +7 more
TL;DR: Analysis of electrocardiographic repolarization abnormality using QTc interval and principal component analysis (PCA) of the T‐wave vector predict all‐cause and cardiovascular mortality.