NPPB and heart failure: If we correct the logistic regression model by forcing the introduction of some clinical variables (sex, age, heart failure, ischemic cardiopathy, and valvular disease), NT-proBNP (OR = 2.101; 95% CI, 1.602–2.755; p<0.001) remained an independent predictor and the predictive ability of the model improved (AUC = 0.807; 95% CI, 0.731–0.882).