2014
DOI: 10.1124/jpet.114.215202
|View full text |Cite
|
Sign up to set email alerts
|

Prediction and Modeling of Effects on the QTc Interval for Clinical Safety Margin Assessment, Based on Single-Ascending-Dose Study Data with AZD3839

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
15
0

Year Published

2015
2015
2019
2019

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 13 publications
(15 citation statements)
references
References 26 publications
0
15
0
Order By: Relevance
“…However, this risk, appears small when ER analysis is applied to early phase QT studies, provided a wide range of plasma concentrations of the drug has been achieved and an intense ECG/pharmacokinetic schedule has been implemented using the same experimental conditions and ECG methodologies as in TQT studies. Since published examples are relatively few [8,9,23,37,38] and not based on prospective series, a recently published report using a simulation approach can help to gain further understanding of the rate of false negatives and false positives in smallsized studies. A large number of small studies with 6-18 subjects receiving active treatment and six receiving placebo was simulated with data from five TQT studies; three studies with moxifloxacin with mean peak DDQTcF effect of 12.5, 14.0, and 8.0 ms, one study with ketoconazole with a smaller QT effect (DDQTcF 7.6 ms), and one TQT study with a drug with a larger effect (DDQTcF 26 ms).…”
Section: Lack Of Positive Controlmentioning
confidence: 97%
“…However, this risk, appears small when ER analysis is applied to early phase QT studies, provided a wide range of plasma concentrations of the drug has been achieved and an intense ECG/pharmacokinetic schedule has been implemented using the same experimental conditions and ECG methodologies as in TQT studies. Since published examples are relatively few [8,9,23,37,38] and not based on prospective series, a recently published report using a simulation approach can help to gain further understanding of the rate of false negatives and false positives in smallsized studies. A large number of small studies with 6-18 subjects receiving active treatment and six receiving placebo was simulated with data from five TQT studies; three studies with moxifloxacin with mean peak DDQTcF effect of 12.5, 14.0, and 8.0 ms, one study with ketoconazole with a smaller QT effect (DDQTcF 7.6 ms), and one TQT study with a drug with a larger effect (DDQTcF 26 ms).…”
Section: Lack Of Positive Controlmentioning
confidence: 97%
“…Neither ibrutinib nor acalabrutinib have been associated with clinically relevant prolongation of the QTc interval at therapeutic or supratherapeutic doses during randomized, double-blind, placebo-controlled and positive-controlled thorough QT studies. 11,12,23 Evaluation of the relationship between concentration and QT/QTc using data collected in early phase clinical studies is a validated and US Food and Drug Administrationaccepted alternative strategy to a thorough QT study 13,15,24 and has been widely used to reliably exclude relevant QTc effects during drug development, 18,25,26 supporting waiver of the regulatory requirement for a thorough QT study in some cases. 27 Although our concentration-QT analysis is limited by the small number of subjects in each dose group and the small number of female subjects, pooling of data from parts 1 and 2 and the broad range of plasma concentrations obtained across dosage groups increase the reliability of our results.…”
Section: Evobrutinib In Healthy Volunteersmentioning
confidence: 99%
“…While in vitro and in vivo data can be collected and used for decisionmaking, the difficult question remains of translation to human. A comprehensive preclinical risk assessment can be constructed but, with the exception of individual drugs (e.g., Sparve et al, 2014) the paucity of quantitative clinical data limits our knowledge of the predictive value of preclinical information.…”
Section: Preclinical Detection Of Inotropic Effects Of Drugs Dr Chrismentioning
confidence: 99%