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Published on: July 3, 2021
Improving the precision of QT measurements
Borje Darpo1, Anthony A Fossa, Jean-Philippe Couderc
1iCardiac Technologies, 150 Allen Creek Rd., Rochester, NY 14618, USA.
High-precision QT (HPQT) measurement improves QTc interval precision over semi-automated methods in thorough QT/QTc studies. This enhanced precision aids regulatory decisions and reduces sample size requirements for drug development.
Area of Science:
- Cardiology
- Clinical Pharmacology
- Regulatory Science
Background:
- Accurate QT interval measurement is crucial for regulatory submissions and drug development.
- Current manual or semi-automated methods have variability, requiring large sample sizes (50-70 subjects) in thorough QT/QTc studies.
- ICH E14 guidelines emphasize the importance of QT interval assessment.
Purpose of the Study:
- To compare the reproducibility and precision of semi-automated (SA) and high-precision QT (HPQT) methods for ECG extraction and QT interval measurement.
- To evaluate these methods in two thorough QT/QTc (TQT) studies.
Main Methods:
- Analysis of data from 35 healthy subjects in two crossover TQT studies (placebo and moxifloxacin).
- Both SA and HPQT methods measured RR and QT intervals on a single beat basis using the COMPAS software package's QT algorithm.
- ECGs were analyzed from lead II or the lead with the highest quality T-wave at protocol-specific timepoints.
Main Results:
- Moxifloxacin's effect on the QTc interval was highly reproducible with both methods, meeting assay sensitivity.
- Pairwise comparison of QTcF values showed high agreement between SA and HPQT methods, with no bias and small mean differences (<1.5 ms).
- HPQT improved QTc measurement precision by 31% in Study I and 15% in Study II compared to SA.
Conclusions:
- The HPQT technique accurately detected moxifloxacin's effect, similar to SA methods, but with significantly improved precision.
- Enhanced QTc measurement precision can reduce false positives and sample size in TQT studies.
- Improved QT assessment utility in early clinical development is a key implication.
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