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, […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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. […]
AUTHOR Linda C. Santelices MSE, Yajuan Wang MS, Don Severyn MS, Marek J. Druzdzel PhD, Robert L. Kormos MD, and James F. Antaki PhD ABSTRACT Background. Despite the small but promising body of evidence for cardiac recovery in patients that have received ventricular assist device (VAD) support, the criteria for identifying and selecting candidates who might […]
