Predicting outcome after liver transplantation

Blok, J.J. (2018)

Doctoral Thesis

In this thesis the impact of donor and recipient risk factors and the development of risk models
in liver transplantation was investigated. These models can be used for multiple purposes,
including risk indication, outcome prediction and benchmarking between transplant centers.
As such, several steps have been made towards evidence-based liver allocation and proper
selection of liver allografts in times of organ shortage and the current system of severitybased
liver allocation (by MELD the score). Further refinement of these models is necessary
in order to optimize donor to recipient matching and achieve an objective, transparent and
well-informed system of liver allocation. Altogether, the efforts made here to improve waitlist
and transplantation outcomes, are meant for the individual transplant candidate on the liver
transplant waitlist and as a whole, for the transplant community.

• Donation after circulatory death
• Donor risk
• Liver transplantation
• Model for endstage liver disease
• Organ allocation
• Organ donor
• Organ transplantation
• Outcome
• Risk factors
• Survival models

• All authors: Blok, J.J.
• Supervisor: Hamming, J.F.
• Co-supervisor: Braat, A.E.
• Committee: Alwayn, I.P.J.; Coenraad, M.J.; Hoek, B. van; Metselaar, H.J.; Porte, R.J.
• Qualification: Doctor (dr.)
• Awarding Institution: Faculty of Medicine, Leiden University Medical Center (LUMC), Leiden University
• Date: 2018-09-18
• ISBN (print): 9789463611251
• Sponsorship: Astellas Pharma, Chiesie Pharmaceuticals, NTV, Bridge to Life, Chipsoft