Figure 8: ROC Curves of ΔSS, ΔHAT, and Combined ΔSS and ΔHAT to Predict ΔEF

ΔHAT and ΔSS had comparable predictive values that did not significantly differ (AUC = 0.66 and 0.68, respectively). Combining ΔSS and ΔHAT with the best fit multilinear regression model resulted in significantly (p = 0.04) better predictive value (AUC = 0.87). AUC = area under the curve; ROC = receiver operator characteristic; other abbreviations as in Figure 6.