Advanced heart failure is a highly morbid and deadly condition. Left ventricular assist devices (LVAD) are artificial heart pumps that have become standard of care as a bridge to heart transplantation. However, donor organs are a scarce resource, and not all eligible LVAD patients can receive a heart transplant. Although many LVAD patients thrive with the device, others develop device-related adverse events that are associated with high mortality rates without a transplant. Therefore, better discrimination of LVAD patients with high risk of mortality while awaiting heart transplantation (i.e. wait list mortality) is needed to identify patients most in need of a donor organ. To date, a comprehensive risk assessment model for wait list mortality does not exist. In this proposal, we aim to develop and validate risk assessment models for wait list mortality in LVAD patients using the large, robust, national Interagency Registry for Mechanically Assisted Circulatory Support (INTERMACS). In addition to traditional regression and competing risks analyses, we plan to utilize novel supervised machine learning techniques to develop more accurate risk assessment models. Our work can serve as the preliminary steps for changes in national donor allocation strategies and subsequent improvement in outcomes for advanced heart failure patients.
|Effective start/end date||9/1/18 → 8/31/21|
- Northwestern Memorial Hospital (NMH Agmt #15 Exhibit B.5)
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