Predictive Models in Heart Failure

Predictive models in heart failure: who cares?

Factors influencing the predictive power of models for predicting mortality and/or heart failure hospitalization in patients with heart failure.

The present paper systematically reviews and compares existing prediction models in order to establish the strongest variables, models, and model characteristics in patients with heart failure predicting outcome. To improve decision making accurately predicting mortality and heart-failure hospitalization in patients with heart failure can be important for selecting patients with a poorer progno...

Heart Failure Prognostic Models

Despite the remarkable therapeutic advances in the treatment of chronic heart failure, it remains a condition marked by progressive deterioration and premature mortality. Our treatments slow the rate of descent, and some reset the survival curve upward, but decline is inevitable. There is, however, great heterogeneity in the journeys traveled by individual heart failure patients. Heart failure ...

New predictive models of heart failure mortality using time-series measurements and ensemble models.

BACKGROUND Morbidity and mortality rates associated with heart failure remain high. A wide variety of demographic and clinical factors as well as biomarkers are associated with increased mortality rates. Despite this, most multivariate predictive models for heart failure mortality have predictive accuracies characterized by a C-statistic (area under the receiver operating curve) of ≈0.74. MET...

Experimental Models of Heart Failure