Literature DB >> 26968541

Universal Correction for QT/RR Hysteresis.

Marek Malik1, Lars Johannesen2,3, Katerina Hnatkova4, Norman Stockbridge5.   

Abstract

INTRODUCTION: Clinical pharmacology QT/QTc studies can be smaller if they more efficiently use the data generated.
OBJECTIVE: The aim was to use large sets of electrocardiograms (ECGs) deposited at the US Food and Drug Administration to investigate the implications of heart rate measurement on the accuracy of QTc data.
METHODS: Using the data of 80 thorough QT studies, we investigated whether placing study subjects in supine positions during short-term time points stabilizes heart rate (part I, based on 73 studies with 747,912 measured ECGs in 6786 healthy subjects) and whether heart rate measurements different from RR intervals captured simultaneously with QT intervals decrease QTc variability (part II, based on seven studies with 897,570 ECG measurements in 751 healthy subjects).
RESULTS: In the part I data, when subjects were placed in supine undisturbed positions, heart rate instability (max-min of repeatedly measured heart rates within the same study time point) exceeding 5 beats per minute (bpm) was observed 40 % of the time and exceeded 10 bpm 10 % of the time. In the part II data, even when including QT measurements preceded by variable heart rates, correction of QT durations for RR interval values derived through a simple QT/RR hysteresis model with 95 % adaptation in 120 s led to mean intra-subject standard deviation of QTc (Fridericia formula) of only 7.14 ± 1.98 and 6.38 ± 1.50 ms in women and men, respectively.
CONCLUSION: The QT/RR hysteresis model with 95 % adaptation in 120 s is universally applicable to healthy subjects, providing small QTc variability. Supine positions do not generally stabilize heart rates in healthy subjects. Universally applicable QT/RR hysteresis correction allows clinical QT/QTc studies to include variable heart rate episodes in the time points.

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Year:  2016        PMID: 26968541     DOI: 10.1007/s40264-016-0406-0

Source DB:  PubMed          Journal:  Drug Saf        ISSN: 0114-5916            Impact factor:   5.606


  19 in total

1.  Circadian modulation of QT rate dependence in healthy volunteers: gender and age differences.

Authors:  F Extramiana; P Maison-Blanche; F Badilini; J Pinoteau; T Deseo; P Coumel
Journal:  J Electrocardiol       Date:  1999-01       Impact factor: 1.438

2.  Evaluation of a subject-specific transfer-function-based nonlinear QT interval rate-correction method.

Authors:  Vincent Jacquemet; Bruno Dubé; Robin Knight; Réginald Nadeau; A Robert LeBlanc; Marcio Sturmer; Giuliano Becker; Alain Vinet; Teresa Kuś
Journal:  Physiol Meas       Date:  2011-04-15       Impact factor: 2.833

3.  A novel method for patient-specific QTc--modeling QT-RR hysteresis.

Authors:  David M Hadley; Victor F Froelicher; Paul J Wang
Journal:  Ann Noninvasive Electrocardiol       Date:  2011-01       Impact factor: 1.468

4.  Relation between QT and RR intervals is highly individual among healthy subjects: implications for heart rate correction of the QT interval.

Authors:  M Malik; P Färbom; V Batchvarov; K Hnatkova; A J Camm
Journal:  Heart       Date:  2002-03       Impact factor: 5.994

5.  QT-RR relationship in healthy subjects exhibits substantial intersubject variability and high intrasubject stability.

Authors:  Velislav N Batchvarov; Azad Ghuran; Peter Smetana; Katerina Hnatkova; Monica Harries; Polychronis Dilaveris; A John Camm; Marek Malik
Journal:  Am J Physiol Heart Circ Physiol       Date:  2002-06       Impact factor: 4.733

6.  Cycle length dependence of human action potential duration in vivo. Effects of single extrastimuli, sudden sustained rate acceleration and deceleration, and different steady-state frequencies.

Authors:  M R Franz; C D Swerdlow; L B Liem; J Schaefer
Journal:  J Clin Invest       Date:  1988-09       Impact factor: 14.808

7.  Statistical issues including design and sample size calculation in thorough QT/QTc studies.

Authors:  Joanne Zhang; Stella G Machado
Journal:  J Biopharm Stat       Date:  2008       Impact factor: 1.051

8.  QT/RR curvatures in healthy subjects: sex differences and covariates.

Authors:  Marek Malik; Katerina Hnatkova; Donna Kowalski; James J Keirns; E Marcel van Gelderen
Journal:  Am J Physiol Heart Circ Physiol       Date:  2013-10-25       Impact factor: 4.733

9.  Electrocardiographic data quality in thorough QT/QTc studies.

Authors:  Lars Johannesen; Christine Garnett; Marek Malik
Journal:  Drug Saf       Date:  2014-03       Impact factor: 5.606

10.  QT/RR hysteresis.

Authors:  Marek Malik
Journal:  J Electrocardiol       Date:  2014-01-06       Impact factor: 1.438

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  20 in total

1.  Conundrum of Clinical QTc Monitoring.

Authors:  Marek Malik
Journal:  Drug Saf       Date:  2022-08-26       Impact factor: 5.228

Review 2.  Categorization and theoretical comparison of quantitative methods for assessing QT/RR hysteresis.

Authors:  Hugo Gravel; Daniel Curnier; Nagib Dahdah; Vincent Jacquemet
Journal:  Ann Noninvasive Electrocardiol       Date:  2017-05-16       Impact factor: 1.468

3.  Importance of QT/RR hysteresis correction in studies of drug-induced QTc interval changes.

Authors:  Marek Malik; Christine Garnett; Katerina Hnatkova; Lars Johannesen; Jose Vicente; Norman Stockbridge
Journal:  J Pharmacokinet Pharmacodyn       Date:  2018-04-12       Impact factor: 2.745

Review 4.  Sources of QTc variability: Implications for effective ECG monitoring in clinical practice.

Authors:  Katerina Hnatkova; Marek Malik
Journal:  Ann Noninvasive Electrocardiol       Date:  2019-11-24       Impact factor: 1.468

5.  Detection of T Wave Peak for Serial Comparisons of JTp Interval.

Authors:  Katerina Hnatkova; Jose Vicente; Lars Johannesen; Christine Garnett; David G Strauss; Norman Stockbridge; Marek Malik
Journal:  Front Physiol       Date:  2019-07-25       Impact factor: 4.566

6.  PK/PD modeling of a clazosentan thorough QT study with hysteresis in concentration-QT and RR-QT.

Authors:  Andrea Henrich; Pierre-Eric Juif; Jasper Dingemanse; Andreas Krause
Journal:  J Pharmacokinet Pharmacodyn       Date:  2021-01-02       Impact factor: 2.745

7.  Influence of heart rate correction formulas on QTc interval stability.

Authors:  Irena Andršová; Katerina Hnatkova; Martina Šišáková; Ondřej Toman; Peter Smetana; Katharina M Huster; Petra Barthel; Tomáš Novotný; Georg Schmidt; Marek Malik
Journal:  Sci Rep       Date:  2021-07-12       Impact factor: 4.996

8.  Potential strategy for assessing QT/QTc interval for drugs that produce rapid changes in heart rate: Electrocardiographic assessment of the effects of intravenous remimazolam on cardiac repolarization.

Authors:  Robert B Kleiman; Borje Darpo; Michael Thorn; Thomas Stoehr; Frank Schippers
Journal:  Br J Clin Pharmacol       Date:  2020-03-23       Impact factor: 4.335

9.  Implications of Individual QT/RR Profiles-Part 2: Zero QTc/RR Correlations Do Not Prove QTc Correction Accuracy in Studies of QTc Changes.

Authors:  Marek Malik; Christine Garnett; Katerina Hnatkova; Jose Vicente; Lars Johannesen; Norman Stockbridge
Journal:  Drug Saf       Date:  2019-03       Impact factor: 5.606

10.  Implications of Individual QT/RR Profiles-Part 1: Inaccuracies and Problems of Population-Specific QT/Heart Rate Corrections.

Authors:  Marek Malik; Christine Garnett; Katerina Hnatkova; Jose Vicente; Lars Johannesen; Norman Stockbridge
Journal:  Drug Saf       Date:  2019-03       Impact factor: 5.228

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