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Influence of Meals and Glycemic Changes on QT Interval Dynamics

  • Bristol-Myers Squibb
  • SUNY Buffalo
  • American College of Clinical Pharmacology
  • Sager Consulting Experts
  • Stanford University

Research output: Contribution to journalArticlepeer-review

21 Scopus citations

Abstract

Thorough QT/QTc studies have become an integral part of early drug development programs, with major clinical and regulatory implications. This analysis expands on existing pharmacodynamic models of QT interval analysis by incorporating the influence of glycemic changes on the QT interval in a semimechanistic manner. A total of 21 healthy subjects enrolled in an open-label phase 1 pilot study and provided continuous electrocardiogram monitoring and plasma glucose and insulin concentrations associated with a 24-hour baseline assessment. The data revealed a transient decrease in QTc, with peak suppression occurring approximately 3 hours after the meal. A semimechanistic modeling approach was applied to evaluate temporal delays between meals and subsequent changes that might influence QT measurements. The food effect was incorporated into a model of heart rate dynamics, and additional delayed effects of the meal on QT were incorporated using a glucose-dependent hypothetical transit compartment. The final model helps to provide a foundation for the future design and analysis of QT studies that may be confounded by meals. This study has significant implications for QT study assessment following a meal or when a cohort is receiving a medication that influences postprandial glucose concentrations.

Original languageEnglish
Pages (from-to)966-976
Number of pages11
JournalJournal of Clinical Pharmacology
Volume57
Issue number8
DOIs
StatePublished - Aug 2017

Keywords

  • glucose
  • heart rate
  • mathematical modeling
  • QT interval

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