Use of a left ventricular assist device (LVAD) can benefit patients with end stage heart failure, but only with careful patient selection. In this study, previously derived Bayesian network models for predicting LVAD patient mortality at 1, 3, and 12 months post-implant were evaluated on retrospective data from a single implant center. The models performed well at all three time points, with a receiver operating characteristic area under the curve (ROC AUC) of 78, 76, and 75%, respectively. This evaluation of model performance verifies the utility of these models in “real life” scenarios at an individual institution.</p
Background: Despite the small but promising body of evidence for cardiac recovery in patients that h...
Left ventricular assist devices (LVADs) are an effective therapy for a growing and aging population ...
<p>Right ventricular failure is a significant complication following implantation of a left ventricu...
Use of a left ventricular assist device (LVAD) can benefit patients with end stage heart failure, bu...
Existing risk assessment tools for patient selection for left ventricular assist devices (LVADs) suc...
This study investigated the use of Bayesian Networks (BNs) for left ventricular assist device (LVAD)...
This study investigated the use of Bayesian Networks (BNs) for left ventricular assist device (LVAD)...
This study investigated the use of Bayesian Networks (BNs) for left ventricular assist device (LVAD)...
Background: Existing prognostic tools for patient selection for ventricular assist devices (VADs) su...
Heart failure is a significant global public health concern affecting millions of individuals. Impla...
ObjectivesThe aim of this study was to derive and validate a model to predict survival in candidates...
Purpose: Despite several models predicting right ventricular failure (RVF) after durable left ventri...
Objectives: Ongoing developments in design have improved the outlook for left-ventricular assist dev...
BACKGROUND: In advanced heart failure patients implanted with a fully magnetically levitated HeartMa...
<p>BACKGROUND: Right ventricular (RV) failure is a significant complication after implantation of a ...
Background: Despite the small but promising body of evidence for cardiac recovery in patients that h...
Left ventricular assist devices (LVADs) are an effective therapy for a growing and aging population ...
<p>Right ventricular failure is a significant complication following implantation of a left ventricu...
Use of a left ventricular assist device (LVAD) can benefit patients with end stage heart failure, bu...
Existing risk assessment tools for patient selection for left ventricular assist devices (LVADs) suc...
This study investigated the use of Bayesian Networks (BNs) for left ventricular assist device (LVAD)...
This study investigated the use of Bayesian Networks (BNs) for left ventricular assist device (LVAD)...
This study investigated the use of Bayesian Networks (BNs) for left ventricular assist device (LVAD)...
Background: Existing prognostic tools for patient selection for ventricular assist devices (VADs) su...
Heart failure is a significant global public health concern affecting millions of individuals. Impla...
ObjectivesThe aim of this study was to derive and validate a model to predict survival in candidates...
Purpose: Despite several models predicting right ventricular failure (RVF) after durable left ventri...
Objectives: Ongoing developments in design have improved the outlook for left-ventricular assist dev...
BACKGROUND: In advanced heart failure patients implanted with a fully magnetically levitated HeartMa...
<p>BACKGROUND: Right ventricular (RV) failure is a significant complication after implantation of a ...
Background: Despite the small but promising body of evidence for cardiac recovery in patients that h...
Left ventricular assist devices (LVADs) are an effective therapy for a growing and aging population ...
<p>Right ventricular failure is a significant complication following implantation of a left ventricu...