BACKGROUND: Patients awaiting heart transplantation in Eurotransplant are prioritized by waiting time and medical urgency. To reduce mortality, the introduction of post-transplant survival in an allocation model based on the concept of survival benefit might be more appropriate. The aim of this study was to assess the prognostic accuracy of the heart failure survival score (HFSS), the Seattle heart failure model (SHFM), the Interagency Registry for Mechanically Assisted Circulatory Support (INTERMACS) model, and the index for mortality prediction after cardiac transplantation (IMPACT) score for predicting mortality. METHODS: The HFSS, SHFM, the adapted SHFM, and the INTERMACS model were evaluated for predicting waiting list mortality among heart transplant candidates, and the IMPACT score was tested for predicting post-transplant mortality in separate Cox regression models. Included were the 448 adult heart transplant candidates listed for an urgent status between October 2010 and June 2011 in Eurotransplant. A cardiac allocation score (CAS) was calculated based on the estimated survival times as predicted by the scores. All analyses were performed for the total cohort and separately for ventricular assist device (VAD) and non-VAD patients. RESULTS: Mortality on the waiting list could significantly be predicted in the non-VAD cohort by HFSS (p = 0.005) and SHFM (p < 0.0001) and after transplant by IMPACT (p < 0.0001). None of the tested scores could predict mortality among VAD-supported patients. CONCLUSIONS: In non-VAD patients, the HFSS, SHFM, and IMPACT provide accurate risk stratification. Further studies will reveal whether these models should be considered as the basis for a new heart allocation policy in Eurotransplant.
BACKGROUND:Patients awaiting heart transplantation in Eurotransplant are prioritized by waiting time and medical urgency. To reduce mortality, the introduction of post-transplant survival in an allocation model based on the concept of survival benefit might be more appropriate. The aim of this study was to assess the prognostic accuracy of the heart failure survival score (HFSS), the Seattle heart failure model (SHFM), the Interagency Registry for Mechanically Assisted Circulatory Support (INTERMACS) model, and the index for mortality prediction after cardiac transplantation (IMPACT) score for predicting mortality. METHODS: The HFSS, SHFM, the adapted SHFM, and the INTERMACS model were evaluated for predicting waiting list mortality among heart transplant candidates, and the IMPACT score was tested for predicting post-transplant mortality in separate Cox regression models. Included were the 448 adult heart transplant candidates listed for an urgent status between October 2010 and June 2011 in Eurotransplant. A cardiac allocation score (CAS) was calculated based on the estimated survival times as predicted by the scores. All analyses were performed for the total cohort and separately for ventricular assist device (VAD) and non-VAD patients. RESULTS: Mortality on the waiting list could significantly be predicted in the non-VAD cohort by HFSS (p = 0.005) and SHFM (p < 0.0001) and after transplant by IMPACT (p < 0.0001). None of the tested scores could predict mortality among VAD-supported patients. CONCLUSIONS: In non-VAD patients, the HFSS, SHFM, and IMPACT provide accurate risk stratification. Further studies will reveal whether these models should be considered as the basis for a new heart allocation policy in Eurotransplant.
Authors: William F Parker; Allen S Anderson; Robert D Gibbons; Edward R Garrity; Lainie F Ross; Elbert S Huang; Matthew M Churpek Journal: JAMA Date: 2019-11-12 Impact factor: 56.272
Authors: Galyna Bondar; Ryan Togashi; Martin Cadeiras; Joanna Schaenman; Richard K Cheng; Lindsay Masukawa; Josephine Hai; Tra-Mi Bao; Desai Chu; Eleanor Chang; Maral Bakir; Sophie Kupiec-Weglinski; Victoria Groysberg; Tristan Grogan; Joseph Meltzer; Murray Kwon; Maura Rossetti; David Elashoff; Elaine Reed; Pei Pei Ping; Mario C Deng Journal: PLoS One Date: 2017-12-13 Impact factor: 3.240
Authors: Sebastian Claes; Michael Berchtold-Herz; Qian Zhou; Georg Trummer; Matthias Bock; Andreas Zirlik; Friedhelm Beyersdorf; Christoph Bode; Sebastian Grundmann Journal: J Cardiothorac Surg Date: 2017-03-07 Impact factor: 1.637