The Journal of Heart and Lung Transplantation
International Society for Heart and Lung Transplantation.

Increased Volume, Improved Quality, and Better Outcomes Using a Specialized Thoracic Adapted Recovery (STAR) Model for Thoracic Transplantation: Experience from 1000 Cases

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      Summary of Objectives

      Recent changes in organ allocation policy address geographic disparities in access to donors in heart and lung transplant candidates. Consequently, new policies also increase logistic organ recovery challenges for transplant centers. Greater opportunity, efficiency, improved quality, and better outcomes may be realized with the adoption of a dedicated Specialized Thoracic Adapted Recovery (STAR) team model for heart and lung transplant programs. Previous studies highlight the benefits of regionalized abdominal donor organ recovery teams. The objective of this 13-year multi-center prospective study, including 1000 cases, is to demonstrate the benefits of the STAR model in heart and lung transplantation.


      We report a 13-year multi-center experience in heart and lung transplantation. Since 2010, over 1000 consecutive heart and lung transplant recovery and evaluation cases were performed using a dedicated Specialized Thoracic Adapted Recovery (STAR) team model. Heart and lung donor recovery protocols and techniques, including organ evaluation and preservation solution, were standardized for each recovery over time to ensure consistency with each heart and lung organ recovered. During the 13-year study period, patient outcomes were compared to previous years and centers not using the STAR team model.


      Study endpoints include: • Number of donor heart and lung recoveries performed by the STAR teams: 1006 • Number of heart and lung transplant cases in 13-years study period (2005-2018): TBD • Perioperative outcomes and early donor graft dysfunction: Center Specific SRTR Data • Heart transplant survival: Center Specific SRTR Data • Lung transplant survival: Center Specific SRTR Data • Transplant program quality measures
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