Cargando…
Implications of Individual QT/RR Profiles—Part 2: Zero QTc/RR Correlations Do Not Prove QTc Correction Accuracy in Studies of QTc Changes
INTRODUCTION: In studies of drug-induced corrected QT (QTc) changes, fixed universal heart rate (HR) corrections (e.g., the Fridericia correction) are potentially misleading when assessing the effects of drugs that change HR. When data-specific corrections are designed, tests of their validity are n...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6426831/ https://www.ncbi.nlm.nih.gov/pubmed/30255348 http://dx.doi.org/10.1007/s40264-018-0735-2 |
_version_ | 1783405083245936640 |
---|---|
author | Malik, Marek Garnett, Christine Hnatkova, Katerina Vicente, Jose Johannesen, Lars Stockbridge, Norman |
author_facet | Malik, Marek Garnett, Christine Hnatkova, Katerina Vicente, Jose Johannesen, Lars Stockbridge, Norman |
author_sort | Malik, Marek |
collection | PubMed |
description | INTRODUCTION: In studies of drug-induced corrected QT (QTc) changes, fixed universal heart rate (HR) corrections (e.g., the Fridericia correction) are potentially misleading when assessing the effects of drugs that change HR. When data-specific corrections are designed, tests of their validity are needed. The proposed tests include zero correlations between QTc and corresponding RR values in the complete study data (pooling on-treatment and off-treatment interval measurements). OBJECTIVE: To document that this approach is potentially highly misleading, a statistical modeling study was conducted based on the full profiles of QT/RR data of 523 healthy subjects—254 females, mean age 33.5 years. METHODS: In each of the subjects, 50 baseline QT/RR readings were selected to model baseline data. In repeated experiments, groups of ten and 50 subjects were randomly selected and drug-induced HR increases between 0 and 25 beats per minute combined with QTc changes between − 20 and + 20 ms were modeled. In each experiment, subject-specific as well as population-specific HR corrections were designed so that the QTc interval data were uncorrelated to the corresponding RR interval data. RESULTS: The simulation experiments showed that when zero correlations of QTc data with RR data are combined with more than trivial HR increases, the HR corrections are substantially biased and underestimate or fully eliminate any drug-induced QTc interval changes. This result is in full agreement with theoretical considerations of HR correction principles. CONCLUSIONS: The lack of correlation of QTc versus RR durations including on-treatment data does not prove any validity of HR corrections. Correlations of QTc versus RR in study data pooling on- and off-drug measurements should not be used to prove the appropriateness of HR corrections. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s40264-018-0735-2) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6426831 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-64268312019-04-15 Implications of Individual QT/RR Profiles—Part 2: Zero QTc/RR Correlations Do Not Prove QTc Correction Accuracy in Studies of QTc Changes Malik, Marek Garnett, Christine Hnatkova, Katerina Vicente, Jose Johannesen, Lars Stockbridge, Norman Drug Saf Original Research Article INTRODUCTION: In studies of drug-induced corrected QT (QTc) changes, fixed universal heart rate (HR) corrections (e.g., the Fridericia correction) are potentially misleading when assessing the effects of drugs that change HR. When data-specific corrections are designed, tests of their validity are needed. The proposed tests include zero correlations between QTc and corresponding RR values in the complete study data (pooling on-treatment and off-treatment interval measurements). OBJECTIVE: To document that this approach is potentially highly misleading, a statistical modeling study was conducted based on the full profiles of QT/RR data of 523 healthy subjects—254 females, mean age 33.5 years. METHODS: In each of the subjects, 50 baseline QT/RR readings were selected to model baseline data. In repeated experiments, groups of ten and 50 subjects were randomly selected and drug-induced HR increases between 0 and 25 beats per minute combined with QTc changes between − 20 and + 20 ms were modeled. In each experiment, subject-specific as well as population-specific HR corrections were designed so that the QTc interval data were uncorrelated to the corresponding RR interval data. RESULTS: The simulation experiments showed that when zero correlations of QTc data with RR data are combined with more than trivial HR increases, the HR corrections are substantially biased and underestimate or fully eliminate any drug-induced QTc interval changes. This result is in full agreement with theoretical considerations of HR correction principles. CONCLUSIONS: The lack of correlation of QTc versus RR durations including on-treatment data does not prove any validity of HR corrections. Correlations of QTc versus RR in study data pooling on- and off-drug measurements should not be used to prove the appropriateness of HR corrections. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s40264-018-0735-2) contains supplementary material, which is available to authorized users. Springer International Publishing 2018-09-25 2019 /pmc/articles/PMC6426831/ /pubmed/30255348 http://dx.doi.org/10.1007/s40264-018-0735-2 Text en © The Author(s) 2019, corrected publication 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Research Article Malik, Marek Garnett, Christine Hnatkova, Katerina Vicente, Jose Johannesen, Lars Stockbridge, Norman Implications of Individual QT/RR Profiles—Part 2: Zero QTc/RR Correlations Do Not Prove QTc Correction Accuracy in Studies of QTc Changes |
title | Implications of Individual QT/RR Profiles—Part 2: Zero QTc/RR Correlations Do Not Prove QTc Correction Accuracy in Studies of QTc Changes |
title_full | Implications of Individual QT/RR Profiles—Part 2: Zero QTc/RR Correlations Do Not Prove QTc Correction Accuracy in Studies of QTc Changes |
title_fullStr | Implications of Individual QT/RR Profiles—Part 2: Zero QTc/RR Correlations Do Not Prove QTc Correction Accuracy in Studies of QTc Changes |
title_full_unstemmed | Implications of Individual QT/RR Profiles—Part 2: Zero QTc/RR Correlations Do Not Prove QTc Correction Accuracy in Studies of QTc Changes |
title_short | Implications of Individual QT/RR Profiles—Part 2: Zero QTc/RR Correlations Do Not Prove QTc Correction Accuracy in Studies of QTc Changes |
title_sort | implications of individual qt/rr profiles—part 2: zero qtc/rr correlations do not prove qtc correction accuracy in studies of qtc changes |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6426831/ https://www.ncbi.nlm.nih.gov/pubmed/30255348 http://dx.doi.org/10.1007/s40264-018-0735-2 |
work_keys_str_mv | AT malikmarek implicationsofindividualqtrrprofilespart2zeroqtcrrcorrelationsdonotproveqtccorrectionaccuracyinstudiesofqtcchanges AT garnettchristine implicationsofindividualqtrrprofilespart2zeroqtcrrcorrelationsdonotproveqtccorrectionaccuracyinstudiesofqtcchanges AT hnatkovakaterina implicationsofindividualqtrrprofilespart2zeroqtcrrcorrelationsdonotproveqtccorrectionaccuracyinstudiesofqtcchanges AT vicentejose implicationsofindividualqtrrprofilespart2zeroqtcrrcorrelationsdonotproveqtccorrectionaccuracyinstudiesofqtcchanges AT johannesenlars implicationsofindividualqtrrprofilespart2zeroqtcrrcorrelationsdonotproveqtccorrectionaccuracyinstudiesofqtcchanges AT stockbridgenorman implicationsofindividualqtrrprofilespart2zeroqtcrrcorrelationsdonotproveqtccorrectionaccuracyinstudiesofqtcchanges |