Key result
The axis of arrhythmia predicted the pro-arrhythmic risk of 109 drugs with 89.9% to 91.7% accuracy.
Why the study?
The axis of arrhythmia, which quantifies torsades de pointes risk based on cardiac ion channel targets, had previously only been derived from biophysical computer simulations.
The axis of arrhythmia provides a practical, computationally efficient method for predicting the pro-arrhythmic risk of novel drugs prior to clinical trials.
BACKGROUND AND PURPOSE: Torsades de pointes is a potentially lethal ventricular arrhythmia that can be induced by many classes of drugs. The risk for a given drug depends upon the combination of cardiac ion channels that it targets. The axis of arrhythmia quantifies that risk. It is a conceptual line in the electrophysiology that describes the most potent combination of ion channel blocks that is theoretically possible. The axis thus serves as a convenient yardstick for quantifying the pro-arrhythmic risk of real drugs. Until now, the axis of arrhythmia has only been derived from biophysical computer simulations. EXPERIMENTAL APPROACH: using publicly available drug datasets. The new method provides an independent line of evidence for the axis of arrhythmia. KEY RESULTS: . The final estimate of the axis predicted the pro-arrhythmic risk of the drugs (n=109) with 89.9% to 91.7% accuracy. CONCLUSION AND IMPLICATIONS: The axis of arrhythmia offers a practical method for predicting the pro-arrhythmic risk of novel drugs prior to clinical trials, without the need for drug-specific computer simulations. It is the only metric of pro-arrhythmic risk that has been derived from both a biophysical model and a statistical model. It thus combines the benefits of biophysical interpretation and computational efficiency when assessing torsadogenic risk.
No takes yet. Share an insight, caveat, or question.
Heitmann et al. (2025) studied Drug-induced torsades de pointes (n=109). Axis of arrhythmia (statistical model) was evaluated on Prediction of pro-arrhythmic risk. The axis of arrhythmia predicted the pro-arrhythmic risk of 109 drugs with 89.9% to 91.7% accuracy.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: