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] |