Bibliografía
Brown RS, Kumar KS, Russo MW, et al. Model for End-Stage Liver Disease and Child-TurcottePugh Score as Predictors of Pretransplantation Disease Severity, Posttransplantation Outcome, and Resource Utilization in United Network for Organ Sharing Status 2A Patients. Liver Transpl 2002;8:278-284.
Desai NM, Mange KC, Crawford MD, et al. Predicting outcome after liver transplantation: utility of the Model for End-stage Liver Disease and a newly derived discrimination function. Transplantation 2004;77:99-106.
Ioannou GN. Development and Validation of a Model Predicting Graft Survival After Liver Transplantation. Liver Tranpl 2006;12:1594-1606.
Feng S, Goodrich NP, Bragg-Gresham JL, et al. Characteristics associated with liver graft failure: the concept of a Donor Risk Index. Am J Transplant 2006;6:783-790.
Rana A, Hardy MA, Halazun KJ, et al. Survival Outcomes Following Liver Transplantation (SOFT) score: a novel method to predict patient survival following liver transplantation. Am J Transpl 2008;8:2537-2546.
Halldorson JB, Bakthavatsalam R, Fix O, et al. D-MELD, a simple predictor of post liver transplant mortality for optimization of donor/recipient Matching. Am J Transpl 2009;9:318-326.
Dutkowski P, MD, Oberkofler CE, Slankamenac K, et al There Better Guidelines for Allocation in Liver Transplantation?. A Novel Score Targeting Justice and Utility in the Model for End-Stage Liver Disease Era. Ann Surg 2011;254:745-753.
Braat AE, Blok JJ, Putter H, et al. The Eurotransplant Donor Risk Index in Liver Transplantation: ET-DRI. Am J Transpl 2012;12:2789-2796.
Briceño J, Cruz-Ramírez M, Prieto M, et al. Use of artificial intelligence as an innovative donor-recipient matching model for liver transplantation: Results from a multicenter Spanish study. J Hepatology 2014;61:1020-1028.
Lau L, Kankanige Y, Rubinstein B, et al. Machine-Learning algorithms predict graft failure after liver transplantation. Transplantation 2017;101:e125-e132.
Collett D, Friend PJ, Watson CJE. Factors associated with short- and long-term liver graft survival in the United Kingdom: development of a UK Donor Liver Index. Transplantation 2017;101:786-792.
Memoria de Resultados del Registro Español de Trasplante Hepático. Disponible en: http://www.sethepatico.org.
Winter A, Féray C, Audureau E, et al. External validation of the Donor Risk Index and the Eurotransplant Donor Risk Index on the French liver transplantation registry. Liver Int 2017;00:1-10.
Gonzalez FX, Rimola A, Grande L, et al. Predictive factors of early postoperative graft function in human liver transplantation. Hepatology 1994;20:565-573.
Sirivatanauksorn Y, Taweerutchana V, Limsrichamrern S, et al. Analysis of Donor Risk Factors Associated With Graft Outcomes in Orthotopic Liver Transplantation. Transplant Proc 2012;44:320-323.
Al-Freah MAB, McPhail MJW, Dionigi E, et al. Improving the diagnostic criteria for primary liver graft nonfunction in adults utilizing standard and transportable laboratory parameters: an outcome-based analysis. Am J Transplant 2017;17:1255-1266.
Grat M, Wronka KM, Patkowski W, et al. Effects of Donor Age and Cold Ischemia on Liver Transplantation Outcomes According to the Severity of Recipient Status. Dig Dis Sci 2016;61:626-635.
Schlegel A, Linecker M, Kron P, et al. Risk Assessment in High- and Low-MELD Liver Transplantation. Am J Transpl 2017;17:1050-1063.
Schoening W, Helbig M, Buescher N, et al. Eurotransplant donor-risk-index and recipient factors: influence on long-term outcome after liver transplantation – A large single-center experience. Clin Transplant 2016;30:508-517.
Araiz JJ, Serrano MT, Garcia-Gil FA, et al. Intention-to-treat survival analysis of Hepatitis C Virus/Human Immunodeficiency Cirus Coinfected Liver Transplant: Is it the waiting list?. Liver Transpl 2016;22:1187-1196.
Ayllón MD, Ciria R, Cruz-Ramírez M, et al. Validation of artificial neural networks as a methodology for donor recipient matching for liver transplantation. Liver Transpl. 2017. DOI: 10.1002/lt.24870.
Brown RS, Kumar KS, Russo MW, et al. Model for End-Stage Liver Disease and Child-TurcottePugh Score as Predictors of Pretransplantation Disease Severity, Posttransplantation Outcome, and Resource Utilization in United Network for Organ Sharing Status 2A Patients. Liver Transpl 2002;8:278-284.
Desai NM, Mange KC, Crawford MD, et al. Predicting outcome after liver transplantation: utility of the Model for End-stage Liver Disease and a newly derived discrimination function. Transplantation 2004;77:99-106.
Ioannou GN. Development and Validation of a Model Predicting Graft Survival After Liver Transplantation. Liver Tranpl 2006;12:1594-1606.
Feng S, Goodrich NP, Bragg-Gresham JL, et al. Characteristics associated with liver graft failure: the concept of a Donor Risk Index. Am J Transplant 2006;6:783-790.
Rana A, Hardy MA, Halazun KJ, et al. Survival Outcomes Following Liver Transplantation (SOFT) score: a novel method to predict patient survival following liver transplantation. Am J Transpl 2008;8:2537-2546.
Halldorson JB, Bakthavatsalam R, Fix O, et al. D-MELD, a simple predictor of post liver transplant mortality for optimization of donor/recipient Matching. Am J Transpl 2009;9:318-326.
Dutkowski P, MD, Oberkofler CE, Slankamenac K, et al There Better Guidelines for Allocation in Liver Transplantation?. A Novel Score Targeting Justice and Utility in the Model for End-Stage Liver Disease Era. Ann Surg 2011;254:745-753.
Braat AE, Blok JJ, Putter H, et al. The Eurotransplant Donor Risk Index in Liver Transplantation: ET-DRI. Am J Transpl 2012;12:2789-2796.
Briceño J, Cruz-Ramírez M, Prieto M, et al. Use of artificial intelligence as an innovative donor-recipient matching model for liver transplantation: Results from a multicenter Spanish study. J Hepatology 2014;61:1020-1028.
Lau L, Kankanige Y, Rubinstein B, et al. Machine-Learning algorithms predict graft failure after liver transplantation. Transplantation 2017;101:e125-e132.
Collett D, Friend PJ, Watson CJE. Factors associated with short- and long-term liver graft survival in the United Kingdom: development of a UK Donor Liver Index. Transplantation 2017;101:786-792.
Memoria de Resultados del Registro Español de Trasplante Hepático. Disponible en: http://www.sethepatico.org.
Winter A, Féray C, Audureau E, et al. External validation of the Donor Risk Index and the Eurotransplant Donor Risk Index on the French liver transplantation registry. Liver Int 2017;00:1-10.
Gonzalez FX, Rimola A, Grande L, et al. Predictive factors of early postoperative graft function in human liver transplantation. Hepatology 1994;20:565-573.
Sirivatanauksorn Y, Taweerutchana V, Limsrichamrern S, et al. Analysis of Donor Risk Factors Associated With Graft Outcomes in Orthotopic Liver Transplantation. Transplant Proc 2012;44:320-323.
Al-Freah MAB, McPhail MJW, Dionigi E, et al. Improving the diagnostic criteria for primary liver graft nonfunction in adults utilizing standard and transportable laboratory parameters: an outcome-based analysis. Am J Transplant 2017;17:1255-1266.
Grat M, Wronka KM, Patkowski W, et al. Effects of Donor Age and Cold Ischemia on Liver Transplantation Outcomes According to the Severity of Recipient Status. Dig Dis Sci 2016;61:626-635.
Schlegel A, Linecker M, Kron P, et al. Risk Assessment in High- and Low-MELD Liver Transplantation. Am J Transpl 2017;17:1050-1063.
Schoening W, Helbig M, Buescher N, et al. Eurotransplant donor-risk-index and recipient factors: influence on long-term outcome after liver transplantation – A large single-center experience. Clin Transplant 2016;30:508-517.
Araiz JJ, Serrano MT, Garcia-Gil FA, et al. Intention-to-treat survival analysis of Hepatitis C Virus/Human Immunodeficiency Cirus Coinfected Liver Transplant: Is it the waiting list?. Liver Transpl 2016;22:1187-1196.
Ayllón MD, Ciria R, Cruz-Ramírez M, et al. Validation of artificial neural networks as a methodology for donor recipient matching for liver transplantation. Liver Transpl. 2017. DOI: 10.1002/lt.24870.
Brown RS, Kumar KS, Russo MW, et al. Model for End-Stage Liver Disease and Child-TurcottePugh Score as Predictors of Pretransplantation Disease Severity, Posttransplantation Outcome, and Resource Utilization in United Network for Organ Sharing Status 2A Patients. Liver Transpl 2002;8:278-284.
Desai NM, Mange KC, Crawford MD, et al. Predicting outcome after liver transplantation: utility of the Model for End-stage Liver Disease and a newly derived discrimination function. Transplantation 2004;77:99-106.
Ioannou GN. Development and Validation of a Model Predicting Graft Survival After Liver Transplantation. Liver Tranpl 2006;12:1594-1606.
Feng S, Goodrich NP, Bragg-Gresham JL, et al. Characteristics associated with liver graft failure: the concept of a Donor Risk Index. Am J Transplant 2006;6:783-790.
Rana A, Hardy MA, Halazun KJ, et al. Survival Outcomes Following Liver Transplantation (SOFT) score: a novel method to predict patient survival following liver transplantation. Am J Transpl 2008;8:2537-2546.
Halldorson JB, Bakthavatsalam R, Fix O, et al. D-MELD, a simple predictor of post liver transplant mortality for optimization of donor/recipient Matching. Am J Transpl 2009;9:318-326.
Dutkowski P, MD, Oberkofler CE, Slankamenac K, et al There Better Guidelines for Allocation in Liver Transplantation?. A Novel Score Targeting Justice and Utility in the Model for End-Stage Liver Disease Era. Ann Surg 2011;254:745-753.
Braat AE, Blok JJ, Putter H, et al. The Eurotransplant Donor Risk Index in Liver Transplantation: ET-DRI. Am J Transpl 2012;12:2789-2796.
Briceño J, Cruz-Ramírez M, Prieto M, et al. Use of artificial intelligence as an innovative donor-recipient matching model for liver transplantation: Results from a multicenter Spanish study. J Hepatology 2014;61:1020-1028.
Lau L, Kankanige Y, Rubinstein B, et al. Machine-Learning algorithms predict graft failure after liver transplantation. Transplantation 2017;101:e125-e132.
Collett D, Friend PJ, Watson CJE. Factors associated with short- and long-term liver graft survival in the United Kingdom: development of a UK Donor Liver Index. Transplantation 2017;101:786-792.
Memoria de Resultados del Registro Español de Trasplante Hepático. Disponible en: http://www.sethepatico.org.
Winter A, Féray C, Audureau E, et al. External validation of the Donor Risk Index and the Eurotransplant Donor Risk Index on the French liver transplantation registry. Liver Int 2017;00:1-10.
Jadlowiec CC, Taner T. Liver transplantation: current status and challenges. World J Gastroenterol 2016;22:4438-4445.
Kulik U, Lehner F, Klempnauer J, Borlak J. Primary non-function is frequently associated with fatty liver allografts and high mortality after re-transplantation. Liver Int 2017;37:1219-1228.
Gonzalez FX, Rimola A, Grande L, et al. Predictive factors of early postoperative graft function in human liver transplantation. Hepatology 1994;20:565-573.
Sirivatanauksorn Y, Taweerutchana V, Limsrichamrern S, et al. Analysis of Donor Risk Factors Associated With Graft Outcomes in Orthotopic Liver Transplantation. Transplant Proc 2012;44:320-323.
Al-Freah MAB, McPhail MJW, Dionigi E, et al. Improving the diagnostic criteria for primary liver graft nonfunction in adults utilizing standard and transportable laboratory parameters: an outcome-based analysis. Am J Transplant 2017;17:1255-1266.
Grat M, Wronka KM, Patkowski W, et al. Effects of Donor Age and Cold Ischemia on Liver Transplantation Outcomes According to the Severity of Recipient Status. Dig Dis Sci 2016;61:626-635.
Schlegel A, Linecker M, Kron P, et al. Risk Assessment in High- and Low-MELD Liver Transplantation. Am J Transpl 2017;17:1050-1063.
Schoening W, Helbig M, Buescher N, et al. Eurotransplant donor-risk-index and recipient factors: influence on long-term outcome after liver transplantation – A large single-center experience. Clin Transplant 2016;30:508-517.
Araiz JJ, Serrano MT, Garcia-Gil FA, et al. Intention-to-treat survival analysis of Hepatitis C Virus/Human Immunodeficiency Cirus Coinfected Liver Transplant: Is it the waiting list?. Liver Transpl 2016;22:1187-1196.
Ayllón MD, Ciria R, Cruz-Ramírez M, et al. Validation of artificial neural networks as a methodology for donor recipient matching for liver transplantation. Liver Transpl. 2017. DOI: 10.1002/lt.24870.