Sanjeet Singh Avtaar Singh1, Sudeep DAS DE2, Sally Rushton3, Colin Berry4, Nawwar Al-Attar5. 1. Department of Cardiothoracic Surgery, Golden Jubilee National Hospital, Clydebank, Glasgow, United Kingdom; Scottish National Advanced Heart Failure Service, Golden Jubilee National Hospital, Clydebank, Glasgow, United Kingdom; Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom. Electronic address: sanjeetsinghtoor@gmail.com. 2. Department of Cardiothoracic Surgery, Golden Jubilee National Hospital, Clydebank, Glasgow, United Kingdom. 3. Biostatistics, National Health Service Blood and Transplant (NHSBT), Bristol, United Kingdom. 4. Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom. 5. Department of Cardiothoracic Surgery, Golden Jubilee National Hospital, Clydebank, Glasgow, United Kingdom; Scottish National Advanced Heart Failure Service, Golden Jubilee National Hospital, Clydebank, Glasgow, United Kingdom; Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom.
Abstract
BACKGROUND: Primary graft dysfunction (PGD) is a major cause of morbidity and mortality post-heart transplantation. The rates of PGD across Europe are higher than North America possibly because of the increasing use of extended criteria donors because of organ shortage. Our aim was to derive a novel scoring system based on data collected nationally in the UK over a 3-year period. We compared this scoring system to a previously validated (RADIAL) score in a contemporary cohort of patients. METHODS: Medical records of all adult patients who underwent heart transplantation between October 1, 2012 and September 30, 2016 in the 6 UK heart transplant centers were analyzed. Preoperative donor and recipient characteristics, intraoperative details and post-transplant complications were compared between the PGD and non-PGD groups using the International Society of Heart and Lung Transplant definition. Multivariable logistic regression was used to build the predictive model. An area under receiver operating characteristics curve was used to test the novel scoring system (PREDICTA) versus the RADIAL score. RESULTS: Six hundred and thirteen heart transplants were included in the study. There were 233 patients who had PGD. The variables included in the model were recipient diabetes mellitus, preoperative mechanical circulatory support (short-term ventricular assist devices/extracorporeal membrane oxygenation), implant time, donor age, and bypass time >180 minutes. The C statistic of the PREDICTA score was 0.704 versus 0.547 for the RADIAL score indicating an acceptable discriminatory value. CONCLUSION: The PREDICTA score is a novel scoring tool with improved ability to predict the development of PGD compared with the RADIAL score. Its application in the prevention and early management of PGD needs further evaluation. Crown
BACKGROUND:Primary graft dysfunction (PGD) is a major cause of morbidity and mortality post-heart transplantation. The rates of PGD across Europe are higher than North America possibly because of the increasing use of extended criteria donors because of organ shortage. Our aim was to derive a novel scoring system based on data collected nationally in the UK over a 3-year period. We compared this scoring system to a previously validated (RADIAL) score in a contemporary cohort of patients. METHODS: Medical records of all adult patients who underwent heart transplantation between October 1, 2012 and September 30, 2016 in the 6 UK heart transplant centers were analyzed. Preoperative donor and recipient characteristics, intraoperative details and post-transplant complications were compared between the PGD and non-PGD groups using the International Society of Heart and Lung Transplant definition. Multivariable logistic regression was used to build the predictive model. An area under receiver operating characteristics curve was used to test the novel scoring system (PREDICTA) versus the RADIAL score. RESULTS: Six hundred and thirteen heart transplants were included in the study. There were 233 patients who had PGD. The variables included in the model were recipient diabetes mellitus, preoperative mechanical circulatory support (short-term ventricular assist devices/extracorporeal membrane oxygenation), implant time, donor age, and bypass time >180 minutes. The C statistic of the PREDICTA score was 0.704 versus 0.547 for the RADIAL score indicating an acceptable discriminatory value. CONCLUSION: The PREDICTA score is a novel scoring tool with improved ability to predict the development of PGD compared with the RADIAL score. Its application in the prevention and early management of PGD needs further evaluation. Crown
Authors: Lauren K Truby; Lydia Coulter Kwee; Richa Agarwal; Elizabeth Grass; Adam D DeVore; Chetan B Patel; Dongfeng Chen; Jacob N Schroder; Dawn Bowles; Carmelo A Milano; Svati H Shah; Christopher L Holley Journal: J Heart Lung Transplant Date: 2021-08-11 Impact factor: 10.247
Authors: Nicholas P Giangreco; Guillaume Lebreton; Susan Restaino; Mary Jane Farr; Emmanuel Zorn; Paolo C Colombo; Jignesh Patel; Ryan Levine; Lauren Truby; Rajesh Kumar Soni; Pascal Leprince; Jon Kobashigawa; Nicholas P Tatonetti; Barry M Fine Journal: J Heart Lung Transplant Date: 2021-07-10 Impact factor: 13.569