Operational Characteristics of Linear Concentration-QT Models for Assessing QTc Interval in the Thorough QT and Phase I Clinical Studies

C. Garnett, K. Needleman, J. Liu, R. Brundage, Y. Wang

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

Concentration-QTc (C-QTc) analysis can be used as an alternative to the standard statistical methods in clinical QT studies. Pharmacokinetic/pharmacodynamics (PK/PD) simulations were performed to assess the operating characteristics of four C-QTc models. False negatives were 2–6% for crossover and 2–9% for parallel studies, with 12 to 60 subjects per treatment for a dose with 10-ms mean effect. All C-QTc models tested gave less than +1 ms mean bias in the ΔΔQTcmax prediction. The power to exclude 10 ms was >80% across all study designs and sizes, for a dose with 3-ms mean effect. The study demonstrates that linear C-QTc models have adequate sensitivity and specificity when the simulation and data analytical models are the same. C-QTc models that incorporate time- and treatment-specific terms give the least biased ΔΔQTcmax predictions under scenarios of model-misspecifications and offer an advantage when applying to real clinical data where the underlying relationship is not known.

Original languageEnglish (US)
Pages (from-to)170-178
Number of pages9
JournalClinical pharmacology and therapeutics
DOIs
StatePublished - Aug 1 2016

Fingerprint Dive into the research topics of 'Operational Characteristics of Linear Concentration-QT Models for Assessing QTc Interval in the Thorough QT and Phase I Clinical Studies'. Together they form a unique fingerprint.

Cite this