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Metroticket 2.0 Model for Analysis of Competing Risks of Death After Liver Transplantation for Hepatocellular
Vincenzo Mazzaferro1, Carlo Sposito1, Jian Zhou2
1General Surgery and Liver Transplantation Unit, University of Milan, Istituto Nazionale Tumori (National Cancer Institute), Istituto di Ricovero e Cura a Carattere Scientifico Foundation, Milan, Italy.
Gastroenterology
|October 10, 2017
Summary
A new model using alpha-fetoprotein (AFP) levels and tumor size/number predicts survival after liver transplantation for hepatocellular carcinoma (HCC). This tool helps select patients and improve outcomes for HCC liver transplant recipients.
Area of Science:
- Hepatobiliary surgery
- Transplant oncology
- Medical diagnostics
Background:
- Outcomes of liver transplantation for hepatocellular carcinoma (HCC) depend on cancer-related and non-cancer events.
- Hepatitis C virus (HCV) treatments have decreased non-cancer events, making HCC-specific death a key endpoint.
- A competing-risk analysis was performed to identify factors influencing HCC patient survival post-transplant.
Purpose of the Study:
- To evaluate factors associated with survival in HCC patients undergoing liver transplantation.
- To develop a prognostic model for HCC patients based on pre-transplant features.
- To refine selection criteria and endpoints for liver transplantation in HCC patients.
Main Methods:
- Multivariable competing-risk regression analysis of 1018 patients (Italy) and 341 patients (China).
- Collected pre-transplant data including tumor characteristics, alpha-fetoprotein (AFP) levels, and liver disease severity.
- Defined HCC-specific death as death related to tumor recurrence, spread, or worsened liver function due to cancer.
Main Results:
- Combined tumor number, size, and log(AFP) level significantly predicted HCC-specific death (c-statistic 0.780).
- The model accurately predicted 5-year survival in a validation set (accuracy 0.721).
- The developed model outperformed existing criteria (Milan, UCSF, Shanghai-Fudan, Up-to-7, AFP French) in predicting 5-year post-transplant survival.
Conclusions:
- A prognostic model using AFP, tumor size, and number predicts HCC-related death risk after liver transplantation.
- This model can aid in selecting appropriate candidates and setting endpoints for liver transplantation.
- An online calculator is available for predicting 5-year survival and HCC-related death risk.
