A mathematical model for optimizing the indications of liver transplantation in patients with hepatocellular carcinoma

Author:

Chaib Eleazar,Amaku Marcos,Coutinho Francisco AB,Lopez Luis F,Burattini Marcelo N,D’Albuquerque Luiz AC,Massad Eduardo

Abstract

Abstract Background The criteria for organ sharing has developed a system that prioritizes liver transplantation (LT) for patients with hepatocellular carcinoma (HCC) who have the highest risk of wait-list mortality. In some countries this model allows patients only within the Milan Criteria (MC, defined by the presence of a single nodule up to 5 cm, up to three nodules none larger than 3 cm, with no evidence of extrahepatic spread or macrovascular invasion) to be evaluated for liver transplantation. This police implies that some patients with HCC slightly more advanced than those allowed by the current strict selection criteria will be excluded, even though LT for these patients might be associated with acceptable long-term outcomes. Methods We propose a mathematical approach to study the consequences of relaxing the MC for patients with HCC that do not comply with the current rules for inclusion in the transplantation candidate list. We consider overall 5-years survival rates compatible with the ones reported in the literature. We calculate the best strategy that would minimize the total mortality of the affected population, that is, the total number of people in both groups of HCC patients that die after 5 years of the implementation of the strategy, either by post-transplantation death or by death due to the basic HCC. We illustrate the above analysis with a simulation of a theoretical population of 1,500 HCC patients with tumor size exponentially. The parameter λ obtained from the literature was equal to 0.3. As the total number of patients in these real samples was 327 patients, this implied in an average size of 3.3 cm and a 95% confidence interval of [2.9; 3.7]. The total number of available livers to be grafted was assumed to be 500. Results With 1500 patients in the waiting list and 500 grafts available we simulated the total number of deaths in both transplanted and non-transplanted HCC patients after 5 years as a function of the tumor size of transplanted patients. The total number of deaths drops down monotonically with tumor size, reaching a minimum at size equals to 7 cm, increasing from thereafter. With tumor size equals to 10 cm the total mortality is equal to the 5 cm threshold of the Milan criteria. Conclusion We concluded that it is possible to include patients with tumor size up to 10 cm without increasing the total mortality of this population.

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Modelling and Simulation

Reference27 articles.

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2. Chaib E, Massad E: Calculating the liver lobe weight for transplantation. Transpl Int. 2008, 21: 704-706. 10.1111/j.1432-2277.2008.00661.x.

3. Chaib E, Coimbra BG, Galvão FH, Tatebe ER, Shinzato MS, D'Albuquerque LA, Massad E: Does anti-hepatitis B virus vaccine make any difference in long-term number of liver transplantation?. ClinTransplant. 2012, 26: E590-E595.

4. Chaib E, Massad E: The potential impact of using donations after cardiac death on the liver transplantation program and waiting list in the state of Sao Paulo Brazil. LiverTranspl. 2008, 14: 1732-1736.

5. Thuluvath PJ, Guidinger MK, Fung JJ, Johnson LB, Rayhill SC, Pelletier SJ: Liver transplantation in the United States, 1999–2008. Am J Transplant. 2010, 10: 1003-1019. 10.1111/j.1600-6143.2010.03037.x.

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1. THE OPTIMUM LEVEL OF MELD TO MINIMIZE THE MORTALITY ON LIVER TRANSPLANTATION WAITING LIST, AND LIVER TRANSPLANTED PATIENT IN SÃO PAULO STATE, BRAZIL;ABCD. Arquivos Brasileiros de Cirurgia Digestiva (São Paulo);2023

2. References;Mathematical Approaches to Liver Transplantation;2020

3. Impact of HCV antiviral therapy on the Liver Transplantation Waiting-List assessed by mathematical models;Journal of Surgery and Surgical Research;2019-01-03

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