Models of Variability and Circadian Rhythm in Heart Rate, Blood Pressure, and QT Interval for Healthy Subjects Who Received Placebo in Phase I Trials

This work characterized the time‐course, circadian rhythm, and inherent variability in key cardiovascular variables (heart rate, corrected QT interval, and systolic and diastolic blood pressure) that are routinely collected as part of safety monitoring in phase I trials. Longitudinal data from 1,035...

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Published inClinical and translational science Vol. 12; no. 5; pp. 470 - 480
Main Authors Minocha, Mukul, Li, Hong, Chiu, Yi‐Lin, Carter, David, Othman, Ahmed A.
Format Journal Article
LanguageEnglish
Published United States John Wiley & Sons, Inc 01.09.2019
John Wiley and Sons Inc
Wiley
Subjects
Online AccessGet full text
ISSN1752-8054
1752-8062
1752-8062
DOI10.1111/cts.12640

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Abstract This work characterized the time‐course, circadian rhythm, and inherent variability in key cardiovascular variables (heart rate, corrected QT interval, and systolic and diastolic blood pressure) that are routinely collected as part of safety monitoring in phase I trials. Longitudinal data from 1,035 healthy volunteers who received placebo in 65 single‐dose and multiple‐dose phase I trials conducted by AbbVie were compiled and analyzed using nonlinear mixed‐effects modeling. An independent nonlinear mixed‐effects model was developed for each variable, and combinations of cosine functions were used to capture circadian oscillations. Gender, race, age, and body weight were significant covariates for variability in baseline measures, and the contributions of these covariates were quantitatively characterized. Based on the extensive data set analyzed, the developed models represent valuable tools to help contextualize and differentiate inherent variability that can be expected in a typical phase I setting from true drug‐related cardiovascular safety signals. In addition, these placebo models can be used to support exposure–response analyses that estimate treatment‐related effects on the evaluated cardiovascular measures.
AbstractList This work characterized the time‐course, circadian rhythm, and inherent variability in key cardiovascular variables (heart rate, corrected QT interval, and systolic and diastolic blood pressure) that are routinely collected as part of safety monitoring in phase I trials. Longitudinal data from 1,035 healthy volunteers who received placebo in 65 single‐dose and multiple‐dose phase I trials conducted by AbbVie were compiled and analyzed using nonlinear mixed‐effects modeling. An independent nonlinear mixed‐effects model was developed for each variable, and combinations of cosine functions were used to capture circadian oscillations. Gender, race, age, and body weight were significant covariates for variability in baseline measures, and the contributions of these covariates were quantitatively characterized. Based on the extensive data set analyzed, the developed models represent valuable tools to help contextualize and differentiate inherent variability that can be expected in a typical phase I setting from true drug‐related cardiovascular safety signals. In addition, these placebo models can be used to support exposure–response analyses that estimate treatment‐related effects on the evaluated cardiovascular measures.
This work characterized the time‐course, circadian rhythm, and inherent variability in key cardiovascular variables (heart rate, corrected QT interval, and systolic and diastolic blood pressure) that are routinely collected as part of safety monitoring in phase I trials. Longitudinal data from 1,035 healthy volunteers who received placebo in 65 single‐dose and multiple‐dose phase I trials conducted by AbbVie were compiled and analyzed using nonlinear mixed‐effects modeling. An independent nonlinear mixed‐effects model was developed for each variable, and combinations of cosine functions were used to capture circadian oscillations. Gender, race, age, and body weight were significant covariates for variability in baseline measures, and the contributions of these covariates were quantitatively characterized. Based on the extensive data set analyzed, the developed models represent valuable tools to help contextualize and differentiate inherent variability that can be expected in a typical phase I setting from true drug‐related cardiovascular safety signals. In addition, these placebo models can be used to support exposure–response analyses that estimate treatment‐related effects on the evaluated cardiovascular measures.
This work characterized the time-course, circadian rhythm, and inherent variability in key cardiovascular variables (heart rate, corrected QT interval, and systolic and diastolic blood pressure) that are routinely collected as part of safety monitoring in phase I trials. Longitudinal data from 1,035 healthy volunteers who received placebo in 65 single-dose and multiple-dose phase I trials conducted by AbbVie were compiled and analyzed using nonlinear mixed-effects modeling. An independent nonlinear mixed-effects model was developed for each variable, and combinations of cosine functions were used to capture circadian oscillations. Gender, race, age, and body weight were significant covariates for variability in baseline measures, and the contributions of these covariates were quantitatively characterized. Based on the extensive data set analyzed, the developed models represent valuable tools to help contextualize and differentiate inherent variability that can be expected in a typical phase I setting from true drug-related cardiovascular safety signals. In addition, these placebo models can be used to support exposure-response analyses that estimate treatment-related effects on the evaluated cardiovascular measures.This work characterized the time-course, circadian rhythm, and inherent variability in key cardiovascular variables (heart rate, corrected QT interval, and systolic and diastolic blood pressure) that are routinely collected as part of safety monitoring in phase I trials. Longitudinal data from 1,035 healthy volunteers who received placebo in 65 single-dose and multiple-dose phase I trials conducted by AbbVie were compiled and analyzed using nonlinear mixed-effects modeling. An independent nonlinear mixed-effects model was developed for each variable, and combinations of cosine functions were used to capture circadian oscillations. Gender, race, age, and body weight were significant covariates for variability in baseline measures, and the contributions of these covariates were quantitatively characterized. Based on the extensive data set analyzed, the developed models represent valuable tools to help contextualize and differentiate inherent variability that can be expected in a typical phase I setting from true drug-related cardiovascular safety signals. In addition, these placebo models can be used to support exposure-response analyses that estimate treatment-related effects on the evaluated cardiovascular measures.
Author Li, Hong
Carter, David
Othman, Ahmed A.
Chiu, Yi‐Lin
Minocha, Mukul
AuthorAffiliation 1 Clinical Pharmacology and Pharmacometrics AbbVie North Chicago Illinois USA
2 Data and Statistical Sciences AbbVie North Chicago Illinois USA
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/31021448$$D View this record in MEDLINE/PubMed
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CitedBy_id crossref_primary_10_1111_cts_70065
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Copyright 2019 AbbVie Inc. published by Wiley Periodicals, Inc. on behalf of the American Society for Clinical Pharmacology and Therapeutics.
2019 AbbVie Inc. Clinical and Translational Science published by Wiley Periodicals, Inc. on behalf of the American Society for Clinical Pharmacology and Therapeutics.
2019. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
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– notice: 2019. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
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Snippet This work characterized the time‐course, circadian rhythm, and inherent variability in key cardiovascular variables (heart rate, corrected QT interval, and...
This work characterized the time‐course, circadian rhythm, and inherent variability in key cardiovascular variables (heart rate, corrected QT interval, and...
This work characterized the time-course, circadian rhythm, and inherent variability in key cardiovascular variables (heart rate, corrected QT interval, and...
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StartPage 470
SubjectTerms Blood pressure
Body weight
Circadian rhythm
Circadian rhythms
Clinical trials
Datasets
Demographics
Drug dosages
Heart rate
Information sharing
Oscillations
Researchers
Studies
Variables
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Title Models of Variability and Circadian Rhythm in Heart Rate, Blood Pressure, and QT Interval for Healthy Subjects Who Received Placebo in Phase I Trials
URI https://onlinelibrary.wiley.com/doi/abs/10.1111%2Fcts.12640
https://www.ncbi.nlm.nih.gov/pubmed/31021448
https://www.proquest.com/docview/2289559527
https://www.proquest.com/docview/2215020691
https://pubmed.ncbi.nlm.nih.gov/PMC6742942
https://doaj.org/article/17111f66a6124c17944ee87c3f66aa0b
Volume 12
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