Highly Automated QT Measurement Techniques in 7 Thorough QT Studies Implemented under ICH E14 Guidelines
Thorough QT (TQT) studies are designed to evaluate potential effect of a novel drug on the ventricular repolarization process of the heart using QTc prolongation as a surrogate marker for torsades de pointes. The current process to measure the QT intervals from the thousands of electrocardiograms is...
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Published in | Annals of noninvasive electrocardiology Vol. 16; no. 1; pp. 13 - 24 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
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Blackwell Publishing Inc
01.01.2011
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Abstract | Thorough QT (TQT) studies are designed to evaluate potential effect of a novel drug on the ventricular repolarization process of the heart using QTc prolongation as a surrogate marker for torsades de pointes. The current process to measure the QT intervals from the thousands of electrocardiograms is lengthy and expensive. In this study, we propose a validation of a highly automatic‐QT interval measurement (HA‐QT) method. We applied a HA‐QT method to the data from 7 TQT studies. We investigated both the placebo and baseline‐adjusted QTc interval prolongation induced by moxifloxacin (positive control drug) at the time of expected peak concentration. The comparative analysis evaluated the time course of moxifloxacin‐induced QTc prolongation in one study as well. The absolute HA‐QT data were longer than the FDA‐approved QTc data. This trend was not different between ECGs from the moxifloxacin and placebo arms: 9.6 ± 24 ms on drug and 9.8 ± 25 ms on placebo. The difference between methods vanished when comparing the placebo‐baseline‐adjusted QTc prolongation (1.4 ± 2.8 ms, P = 0.4). The differences in precision between the HA‐QT and the FDA‐approved measurements were not statistically different from zero: 0.1 ± 0.1 ms (P = 0.7). Also, the time course of the moxifloxacin‐induced QTc prolongation adjusted for placebo was not statistically different between measurements methods.
Ann Noninvasive Electrocardiol 2011;16(1):13–24 |
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AbstractList | Thorough QT (TQT) studies are designed to evaluate potential effect of a novel drug on the ventricular repolarization process of the heart using QTc prolongation as a surrogate marker for torsades de pointes. The current process to measure the QT intervals from the thousands of electrocardiograms is lengthy and expensive. In this study, we propose a validation of a highly automatic-QT interval measurement (HA-QT) method. We applied a HA-QT method to the data from 7 TQT studies. We investigated both the placebo and baseline-adjusted QTc interval prolongation induced by moxifloxacin (positive control drug) at the time of expected peak concentration. The comparative analysis evaluated the time course of moxifloxacin-induced QTc prolongation in one study as well. The absolute HA-QT data were longer than the FDA-approved QTc data. This trend was not different between ECGs from the moxifloxacin and placebo arms: 9.6 ± 24 ms on drug and 9.8 ± 25 ms on placebo. The difference between methods vanished when comparing the placebo-baseline-adjusted QTc prolongation (1.4 ± 2.8 ms, P = 0.4). The differences in precision between the HA-QT and the FDA-approved measurements were not statistically different from zero: 0.1 ± 0.1 ms (P = 0.7). Also, the time course of the moxifloxacin-induced QTc prolongation adjusted for placebo was not statistically different between measurements methods. Thorough QT (TQT) studies are designed to evaluate potential effect of a novel drug on the ventricular repolarization process of the heart using QTc prolongation as a surrogate marker for torsades de pointes. The current process to measure the QT intervals from the thousands of electrocardiograms is lengthy and expensive. In this study, we propose a validation of a highly automatic‐QT interval measurement (HA‐QT) method. We applied a HA‐QT method to the data from 7 TQT studies. We investigated both the placebo and baseline‐adjusted QTc interval prolongation induced by moxifloxacin (positive control drug) at the time of expected peak concentration. The comparative analysis evaluated the time course of moxifloxacin‐induced QTc prolongation in one study as well. The absolute HA‐QT data were longer than the FDA‐approved QTc data. This trend was not different between ECGs from the moxifloxacin and placebo arms: 9.6 ± 24 ms on drug and 9.8 ± 25 ms on placebo. The difference between methods vanished when comparing the placebo‐baseline‐adjusted QTc prolongation (1.4 ± 2.8 ms, P = 0.4). The differences in precision between the HA‐QT and the FDA‐approved measurements were not statistically different from zero: 0.1 ± 0.1 ms (P = 0.7). Also, the time course of the moxifloxacin‐induced QTc prolongation adjusted for placebo was not statistically different between measurements methods. Ann Noninvasive Electrocardiol 2011;16(1):13–24 Thorough QT (TQT) studies are designed to evaluate potential effect of a novel drug on the ventricular repolarization process of the heart using QTc prolongation as a surrogate marker for torsades de pointes. The current process to measure the QT intervals from the thousands of electrocardiograms is lengthy and expensive. In this study, we propose a validation of a highly automatic-QT interval measurement (HA-QT) method. We applied a HA-QT method to the data from 7 TQT studies. We investigated both the placebo and baseline-adjusted QTc interval prolongation induced by moxifloxacin (positive control drug) at the time of expected peak concentration. The comparative analysis evaluated the time course of moxifloxacin-induced QTc prolongation in one study as well. The absolute HA-QT data were longer than the FDA-approved QTc data. This trend was not different between ECGs from the moxifloxacin and placebo arms: 9.6 ± 24 ms on drug and 9.8 ± 25 ms on placebo. The difference between methods vanished when comparing the placebo-baseline-adjusted QTc prolongation (1.4 ± 2.8 ms, P = 0.4). The differences in precision between the HA-QT and the FDA-approved measurements were not statistically different from zero: 0.1 ± 0.1 ms (P = 0.7). Also, the time course of the moxifloxacin-induced QTc prolongation adjusted for placebo was not statistically different between measurements methods.Thorough QT (TQT) studies are designed to evaluate potential effect of a novel drug on the ventricular repolarization process of the heart using QTc prolongation as a surrogate marker for torsades de pointes. The current process to measure the QT intervals from the thousands of electrocardiograms is lengthy and expensive. In this study, we propose a validation of a highly automatic-QT interval measurement (HA-QT) method. We applied a HA-QT method to the data from 7 TQT studies. We investigated both the placebo and baseline-adjusted QTc interval prolongation induced by moxifloxacin (positive control drug) at the time of expected peak concentration. The comparative analysis evaluated the time course of moxifloxacin-induced QTc prolongation in one study as well. The absolute HA-QT data were longer than the FDA-approved QTc data. This trend was not different between ECGs from the moxifloxacin and placebo arms: 9.6 ± 24 ms on drug and 9.8 ± 25 ms on placebo. The difference between methods vanished when comparing the placebo-baseline-adjusted QTc prolongation (1.4 ± 2.8 ms, P = 0.4). The differences in precision between the HA-QT and the FDA-approved measurements were not statistically different from zero: 0.1 ± 0.1 ms (P = 0.7). Also, the time course of the moxifloxacin-induced QTc prolongation adjusted for placebo was not statistically different between measurements methods. |
Author | Couderc, Jean-Philippe Xia, Xiajuan Handzel, Robert Li, Mike Zareba, Wojciech Garnett, Christine McNitt, Scott Polonsky, Slava |
AuthorAffiliation | 4 School of Biomedical Engineering, University of Rochester, NY 1 Heart Research Follow‐up Program, Cardiology Department, University of Rochester Medical Center, Rochester, NY 2 Division of Pharmacometrics, Office of Clinical Pharmacology 3 Division of Cardiovascular and Renal Products, Office of New Drugs, Center for Drug Evaluation and Research, FDA, Silver Spring, MD |
AuthorAffiliation_xml | – name: 2 Division of Pharmacometrics, Office of Clinical Pharmacology – name: 4 School of Biomedical Engineering, University of Rochester, NY – name: 3 Division of Cardiovascular and Renal Products, Office of New Drugs, Center for Drug Evaluation and Research, FDA, Silver Spring, MD – name: 1 Heart Research Follow‐up Program, Cardiology Department, University of Rochester Medical Center, Rochester, NY |
Author_xml | – sequence: 1 givenname: Jean-Philippe surname: Couderc fullname: Couderc, Jean-Philippe organization: Heart Research Follow-up Program, Cardiology Department, University of Rochester Medical Center, Rochester, NY – sequence: 2 givenname: Christine surname: Garnett fullname: Garnett, Christine organization: Division of Pharmacometrics, Office of Clinical Pharmacology – sequence: 3 givenname: Mike surname: Li fullname: Li, Mike organization: Division of Cardiovascular and Renal Products, Office of New Drugs, Center for Drug Evaluation and Research, FDA, Silver Spring, MD – sequence: 4 givenname: Robert surname: Handzel fullname: Handzel, Robert organization: School of Biomedical Engineering, University of Rochester, NY – sequence: 5 givenname: Scott surname: McNitt fullname: McNitt, Scott organization: Heart Research Follow-up Program, Cardiology Department, University of Rochester Medical Center, Rochester, NY – sequence: 6 givenname: Xiajuan surname: Xia fullname: Xia, Xiajuan organization: Heart Research Follow-up Program, Cardiology Department, University of Rochester Medical Center, Rochester, NY – sequence: 7 givenname: Slava surname: Polonsky fullname: Polonsky, Slava organization: Heart Research Follow-up Program, Cardiology Department, University of Rochester Medical Center, Rochester, NY – sequence: 8 givenname: Wojciech surname: Zareba fullname: Zareba, Wojciech organization: Heart Research Follow-up Program, Cardiology Department, University of Rochester Medical Center, Rochester, NY |
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References_xml | – reference: Halamek J, Jurak P, Villa M, et al. Dynamic coupling between heart rate and ventricular repolarisation. Biomed Tech (Berl) 2007;52:255-263. – reference: Lepeschkin E, Surawicz B. The measurement of the Q-T interval of the electrocardiogram. Circulation 1952;6:378-388. – reference: Malhotra BK, Glue P, Sweeney K, et al. Thorough QT study with recommended and supratherapeutic doses of tolterodine. Clin Pharmacol Ther 2007;81:377-385. – reference: Badilini F, Maison-Blanche P, Childers R, et al. QT interval analysis on ambulatory electrocardiogram recordings: A selective beat averaging approach. Med Biol Eng Comput 1999;37:71-79. – reference: Morganroth J, Ilson BE, Shaddinger BC, et al. Evaluation of vardenafil and sildenafil on cardiac repolarization. Am J Cardiol 2004;93:1378-1383, A6 (abstract). – reference: Couderc JP, Zareba W. An update on QT measurement and interpretation methodologies. Ann Noninvasive Electrocardiol 2009;14(Suppl 1):S1-S2. – reference: Darpo B, Agin M, Kazierad DJ, et al. Man versus machine: Is there an optimal method for QT measurements in thorough QT studies? J Clin Pharmacol 2006;46:598-612. – reference: Porta A, Baselli G, Lombardi F, et al. Performance assessment of standard algorithms for dynamic R-T interval measurement: Comparison between R-Tapex and R-T(end) approach. Med Biol Eng Comput 1998;36:35-42. – reference: Malik M. Problems of heart rate correction in assessment of drug-induced QT interval prolongation. J Cardiovasc Electrophysiol 2001;12:411-420. – reference: Sherazi S, DiSalle M, Daubert JP, et al. Moxifloxacin-induced torsades de pointes. Cardiol J 2008;15:71-73. – reference: Fridericia LS. Die Systolendauer im Elekrokardiogramm bei normalen Menschen und bei Herzkranken. Acta Med Scand 1920;53:469-486. – reference: Pueyo E, Malik M, Laguna P. Beat-to-beat Adaptation of QT Interval to Heart Rate. 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Electrocardiol |
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SubjectTerms | Anti-Infective Agents - pharmacology Aza Compounds - pharmacology Cardiotoxins drug cardiotoxicity Drug Evaluation, Preclinical drug safety electrocardiogram Electrocardiography Female Fluoroquinolones Guidelines as Topic Heart Conduction System - drug effects Humans Long QT Syndrome - chemically induced Male Models, Biological Moxifloxacin Neuromuscular Nondepolarizing Agents - administration & dosage Original QT interval Quinolines - pharmacology Sex Factors thorough QT study |
Title | Highly Automated QT Measurement Techniques in 7 Thorough QT Studies Implemented under ICH E14 Guidelines |
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