1. Ashraf Hamdan et al. JCIN 2015;8:1218-1228
ROC Curves and Decision Plots of MS Length and ΔMSID for Prediction of Higher Degree AV Block and Permanent Pacemaker Implantation (Left) ROC curves. (Middle) Smoothed ROC curves. (Right) Decision plots. (A) MS length as a predictor of AV block. The area under the curve (AUC) was 0.78 (95% CI: 0.66 to 0.90) and 0.78 (95% CI: 0.67 to 0.89) under the smoothed curve. Sensitivity/specificity crossover occurred at 7.8 mm. (B) MS length as a predictor of PPM implantation. The AUC was 0.76 (95% CI: 0.65 to 0.88) and 0.77 (95% CI: 0.66 to 0.88) under the smoothed curve. Sensitivity/specificity crossover occurred at 7.4 mm. (C) ΔMSID as a predictor of AV block. The AUC was 0.88 (95% CI: 0.80 to 0.96) and 0.88 (95% CI: 0.80 to 0.96) under the smoothed ROC curve. Sensitivity/specificity crossover occurred at 0.4 mm. (D) ΔMSID as a predictor of PPM implantation. The AUC was 0.83 (95% CI: 0.73 to 0.93) and 0.83 (95% CI: 0.74 to 0.93) under smoothed OC curve. Sensitivity/specificity crossover occurred at 0.4 mm. CI = confidence interval; ROC = receiver-operating characteristic; other abbreviations as in Figures 1, 2, and 3.
Ashraf Hamdan et al. JCIN 2015;8:
2015 American College of Cardiology Foundation