Managing VAD Complications

AUTHOR Joseph G. Rogers, MD ABSTRACT  The growing population of patients progressing to end-stage heart failure paradoxically represents our field’s greatest success and failure. Individuals with previously mortal heart diseases now survive as a result of improved diagnostics, therapeutic innovation, and focused patient care efforts across an array of cardiovascular conditions, particularly ischemic heart disease. Unfortunately, […]

A Bayesian Model to Predict Right Ventricular Failure Following Left Ventricular Assist Device Therapy

AUTHORS:  Natasha A. Loghmanpour PHD, Robert L. Kormos MD, Manreet K. Kanwar MD, Jeffrey J. Teuteberg MD, Srinivas Murali MD, James F. Antaki, PHD ABSTRACT OBJECTIVES This study investigates the use of a Bayesian statistical model to address the limited predictive capacity of existing risk scores derived from multivariate analyses. This is based on the hypothesis that it is necessary […]

Investigating the Heart Pump Implant Decision Process: Opportunities for Decision Support Tools to Help

AUTHORS Qian Yang, John Zimmerman, Aaron Steinfeld, Lisa Carey, James F. Antaki ABSTRACT Clinical decision support tools (DSTs) are computational systems that aid healthcare decision-making. While effective in labs, almost all these systems failed when they moved into clinical practice. Healthcare researchers speculated it is most likely due to a lack of user-centered HCI considerations in the design of […]

Investigating the Heart Pump Implant Decision Process: Opportunities for Decision Support Tools to Help

AUTHORS:  Qian Yang, John Zimmerman, Aaron Steinfeld, Lisa Carey, James F. Antaki ABSTRACT Clinical decision support tools (DSTs) are computational systems that aid healthcare decision-making. While effective in labs, almost all these systems failed when they moved into clinical practice. Healthcare researchers speculated it is most likely due to a lack of user-centered HCI considerations […]

Time Series Analysis of Nursing Notes for Mortality Prediction via a State Transition Topic Model

AUTHORS: Yohan Jo, Carnegie Mellon University | Natasha Loghmanpour, Carnegie Mellon University | Carolyn Penstein Rosé, Carnegie Mellon University ABSTRACT Accurate mortality prediction is an important task in intensive care units in order to channel prompt care to patients in the most critical condition and to reduce nurses’ alarm fatigue. Nursing notes carry valuable information in this regard, but nothing has been reported about […]

A New Bayesian Network-Based Risk Stratification Model for Prediction of Short-term and Long-term LVAD Mortality

AUTHORS: Natasha A. Loghmanpour MS,  Manreet K. Kanwar MD,  Marek J. Druzdzel PhD, Raymond L. Benza MD,  Srinivas Murali MD, and  James F. Antaki PhD ABSTRACT Existing risk assessment tools for patient selection for left ventricular assist devices (LVADs) such as the Destination Therapy Risk Score (DTRS) and HeartMate II Risk Score (HMRS) have limited predictive ability. This study […]

Cardiac Health Risk Stratification System (CHRiSS): A Bayesian-Based Decision Support System for Left Ventricular Assist Device (LVAD) Therapy

AUTHORS Natasha A. Loghmanpour1, Marek J. Druzdzel2, James F. Antaki1 ABSTRACT This study investigated the use of Bayesian Networks (BNs) for left ventricular assist device (LVAD) therapy; a treatment for end-stage heart failure that has been steadily growing in popularity over the past decade. Despite this growth, the number of LVAD implants performed annually remains a small […]

Development of Predictive Models for Continuous Flow Left Ventricular Assist Device Patients using Bayesian Networks

AUTHORS Natasha A. Loghmanpour, Manreet K. Kanwar, Raymond L. Benza, Srinivas Murali and James F. Antaki ABSTRACT Background: Existing prognostic tools for patient selection for ventricular assist devices (VADs) such as the Destination Therapy Risk Score (DTRS) and newly published HeartMate II Risk Score (HMRS) have limited predictive ability, especially with the current generation of continuous flow […]

Simulation of Dilated Heart Failure with Continuous Flow Circulatory Support

AUTHORS Yajuan Wang, Natasha Loghmanpour, Stijn Vandenberghe, Antonio Ferreira1, Bradley Keller, John Gorcsan, James Antaki ABSTRACT  Lumped parameter models have been employed for decades to simulate important hemodynamic couplings between a left ventricular assist device (LVAD) and the native circulation. However, these studies seldom consider the pathological descending limb of the Frank-Starling response of the overloaded ventricle. […]