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. 2022 Sep 15;13:966046. doi: 10.3389/fphys.2022.966046

TABLE 1.

Prediction accuracy (mean and confidence interval). Most relevant features selected by the elastic-net logistic regression. Abbreviations: DF: Dominant frequency; SaE: Sample entropy. RHE: Relative harmonic energy.

Drug Data Best predictive biomarkers Accuracy (%)
Dronedarone ECG DF (Leads V2–V6), SaE (Leads V2, V6) 0.72 [0.70, 0.74]
Ionic properties GK1, GKur, GNaK, GNa, GKr, GCaL 0.76 [0.74, 0.78]
ECG + Ionic CV, DF (Leads V2, V4) 0.77 [0.75, 0.79]
Flecainide ECG SaE (Lead V1), RHE (Lead III), SaE (Lead III) 0.69 [0.67, 0.71]
Ionic properties GNaK, GK1, GKs, Gto 0.71 [0.69, 0.73]
ECG + Ionic Gto, GK1, GNaK, GKs, SaE (Lead V1) 0.72 [0.70, 0.74]
Vernakalant ECG RHE (Lead V4, V5), SaE (V6) 0.68 [0.66, 0.70]
Ionic properties Gto, GKur, GNaK 0.70 [0.68, 0.72]
ECG + Ionic Gto, GKur, SaE (Lead V6), RHE (Lead V4, V5) 0.70 [0.68, 0.72]