Quickly finding a needle in a haystack: a new automated cardiac arrhythmia detection software for preclinical studies

Journal of Pharmacological and Toxicological Methods
Florence KoeppelPhilippe Zitoun

Abstract

The occurrence of drug-induced arrhythmias in safety pharmacology or toxicology studies is a primary safety concern. The risk assessment requires an accurate knowledge of background arrhythmia incidence and frequency in the test system/species, as well as a rigorous evaluation of the effects of the potential new medical entities on the electrocardiogram (ECG). However, the direct assessment of arrhythmia in ECG recordings is a time-consuming effort and is rarely achieved due to lack of suitable automated tools. A new software application named ARR30a was developed for fast automated detection in preclinical studies, for the five major arrhythmia types, namely sinus pauses, atrial beats, junctional beats, ventricular beats and type 2 atrio-ventricular blocks (AV-blocks II). The purpose of this study was to characterize the performance of ARR30a in large and small animal species. Detection sensitivity and predictivity were evaluated on a database of 84 ECG recordings representative of each animal species and experimental protocols typically used in efficacy, safety pharmacology and toxicology studies. Automated arrhythmia detection was compared with manual analysis. In large animals such as dogs, non-human primates and pigs, ARR3...Continue Reading

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Citations

Nov 23, 2013·Journal of Pharmacological and Toxicological Methods·David L HoldsworthTheodore J Baird
May 24, 2012·Journal of Pharmacological and Toxicological Methods·M K Pugsley, M J Curtis
Apr 28, 2016·Journal of Pharmacological and Toxicological Methods·Sabine RuppertMichael Hoffmann
Sep 20, 2016·British Journal of Pharmacology·Luca SalaChristine L Mummery
Mar 9, 2020·Bulletin of Experimental Biology and Medicine·E A MuzykoI N Tyurenkov

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