Tailored Prediction Model of Survival after Liver Transplantation for Hepatocellular Carcinoma
Indah Jamtani1, Kwang-Woong Lee1, Yunhee Choi2
1Department of Surgery, Seoul National University College of Medicine, Seoul 03080, Korea.
Insights
A new prediction model, the SALT calculator, accurately estimates survival for liver transplant patients with hepatocellular carcinoma (HCC). This tool uses pre-transplant data to personalize survival expectations, aiding clinical decision-making.
Area of Science:
- Hepatobiliary Surgery
- Transplant Oncology
- Medical Informatics
Background:
- Hepatocellular carcinoma (HCC) is a leading cause of cancer mortality worldwide.
- Liver transplantation is a curative option for select HCC patients, but outcomes vary.
- Accurate prediction of post-transplant survival is crucial for patient management and resource allocation.
Purpose of the Study:
- To develop and validate a tailored prediction model for HCC-specific survival post-liver transplantation.
- To identify key pre-transplant parameters predictive of HCC-specific mortality.
- To create a user-friendly tool (SALT calculator) for personalized survival estimation.
Main Methods:
- Retrospective analysis of pre-transplant data from June 2006 to July 2018 (derivation) and January 2014 to June 2018 (validation).
- Development of a prediction model combining demographic, laboratory, radiological, and tumor characteristics.
- Internal and external validation using Uno's C-index; risk stratification into low, intermediate, and high-risk groups.
Main Results:
- The prediction model demonstrated good accuracy with Uno's C-indices of 0.79 (internal) and 0.75 (external).
- Five-year HCC-specific death rates were 2% (low-risk), 12% (intermediate-risk), and 71% (high-risk).
- Corresponding five-year recurrence rates were 5%, 14%, and 82% for the respective risk groups.
Conclusions:
- The developed "SALT calculator" provides accurate, personalized predictions of HCC-specific survival after liver transplantation.
- The model effectively stratifies patients into distinct risk groups, informing prognosis and treatment strategies.
- This tool can enhance clinical decision-making and patient counseling for individuals undergoing liver transplantation for HCC.
Abstract:
This study aimed to create a tailored prediction model of hepatocellular carcinoma (HCC)-specific survival after transplantation based on pre-transplant parameters. Data collected from June 2006 to July 2018 were used as a derivation dataset and analyzed to create an HCC-specific survival prediction model by combining significant risk factors. Separate data were collected from January 2014 to June 2018 for validation. The prediction model was validated internally and externally. The data were divided into three groups based on risk scores derived from the hazard ratio. A combination of patient demographic, laboratory, radiological data, and tumor-specific characteristics that showed a good prediction of HCC-specific death at a specific time (t) were chosen. Internal and external validations with Uno's C-index were 0.79 and 0.75 (95% confidence interval (CI) 0.65-0.86), respectively. The predicted survival after liver transplantation for HCC (SALT) at a time "t" was calculated using the formula: [1 - (HCC-specific death(t'))] × 100. The 5-year HCC-specific death and recurrence rates in the low-risk group were 2% and 5%; the intermediate-risk group was 12% and 14%, and in the high-risk group were 71% and 82%. Our HCC-specific survival predictor named "SALT calculator" could provide accurate information about expected survival tailored for patients undergoing transplantation for HCC.
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