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AFP score and metroticket 2.0 perform similarly and could be used in a “within-ALL” clinical decision tool
BACKGROUND & AIMS: Two recently developed composite models, the alpha-fetoprotein (AFP) score and Metroticket 2.0, could be used to select patients with hepatocellular carcinoma (HCC) who are candidates for liver transplantation (LT). The aim of this study was to compare the predictive performan...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9860475/ https://www.ncbi.nlm.nih.gov/pubmed/36691474 http://dx.doi.org/10.1016/j.jhepr.2022.100644 |
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author | Piñero, Federico Costentin, Charlotte Degroote, Helena Notarpaolo, Andrea Boin, Ilka FSF. Boudjema, Karim Baccaro, Cinzia Chagas, Aline Bachellier, Philippe Ettorre, Giuseppe Maria Poniachik, Jaime Muscari, Fabrice Dibenedetto, Fabrizio Duque, Sergio Hoyos Salame, Ephrem Cillo, Umberto Marciano, Sebastián Vanlemmens, Claire Fagiuoli, Stefano Carrilho, Flair Cherqui, Daniel Burra, Patrizia Van Vlierberghe, Hans Lai, Quirino Silva, Marcelo Rubinstein, Fernando Duvoux, Christophe |
author_facet | Piñero, Federico Costentin, Charlotte Degroote, Helena Notarpaolo, Andrea Boin, Ilka FSF. Boudjema, Karim Baccaro, Cinzia Chagas, Aline Bachellier, Philippe Ettorre, Giuseppe Maria Poniachik, Jaime Muscari, Fabrice Dibenedetto, Fabrizio Duque, Sergio Hoyos Salame, Ephrem Cillo, Umberto Marciano, Sebastián Vanlemmens, Claire Fagiuoli, Stefano Carrilho, Flair Cherqui, Daniel Burra, Patrizia Van Vlierberghe, Hans Lai, Quirino Silva, Marcelo Rubinstein, Fernando Duvoux, Christophe |
author_sort | Piñero, Federico |
collection | PubMed |
description | BACKGROUND & AIMS: Two recently developed composite models, the alpha-fetoprotein (AFP) score and Metroticket 2.0, could be used to select patients with hepatocellular carcinoma (HCC) who are candidates for liver transplantation (LT). The aim of this study was to compare the predictive performance of both models and to evaluate the net risk reclassification of post-LT recurrence between them using each model’s original thresholds. METHODS: This multicenter cohort study included 2,444 adult patients who underwent LT for HCC in 47 centers from Europe and Latin America. A competing risk regression analysis estimating sub-distribution hazard ratios (SHRs) and 95% CIs for recurrence was used (Fine and Gray method). Harrell’s adapted c-statistics were estimated. The net reclassification index for recurrence was compared based on each model’s original thresholds. RESULTS: During a median follow-up of 3.8 years, there were 310 recurrences and 496 competing events (20.3%). Both models predicted recurrence, HCC survival and survival better than Milan criteria (p <0.0001). At last tumor reassessment before LT, c-statistics did not significantly differ between the two composite models, either as original or threshold versions, for recurrence (0.72 vs. 0.68; p = 0.06), HCC survival, and overall survival after LT. We observed predictive gaps and overlaps between the model’s thresholds, and no significant gain on reclassification. Patients meeting both models (“within-ALL”) at last tumor reassessment presented the lowest 5-year cumulative incidence of HCC recurrence (7.7%; 95% CI 5.1-11.5) and higher 5-year post-LT survival (70.0%; 95% CI 64.9-74.6). CONCLUSIONS: In this multicenter cohort, Metroticket 2.0 and the AFP score demonstrated a similar ability to predict HCC recurrence post-LT. The combination of these composite models might be a promising clinical approach. IMPACT AND IMPLICATIONS: Composite models were recently proposed for the selection of liver transplant (LT) candidates among individuals with hepatocellular carcinoma (HCC). We found that both the AFP score and Metroticket 2.0 predicted post-LT HCC recurrence and survival better than Milan criteria; the Metroticket 2.0 did not result in better reclassification for transplant selection compared to the AFP score, with predictive gaps and overlaps between the two models; patients who met low-risk thresholds for both models had the lowest 5-year recurrence rate. We propose prospectively testing the combination of both models, to further optimize the LT selection process for candidates with HCC. |
format | Online Article Text |
id | pubmed-9860475 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-98604752023-01-22 AFP score and metroticket 2.0 perform similarly and could be used in a “within-ALL” clinical decision tool Piñero, Federico Costentin, Charlotte Degroote, Helena Notarpaolo, Andrea Boin, Ilka FSF. Boudjema, Karim Baccaro, Cinzia Chagas, Aline Bachellier, Philippe Ettorre, Giuseppe Maria Poniachik, Jaime Muscari, Fabrice Dibenedetto, Fabrizio Duque, Sergio Hoyos Salame, Ephrem Cillo, Umberto Marciano, Sebastián Vanlemmens, Claire Fagiuoli, Stefano Carrilho, Flair Cherqui, Daniel Burra, Patrizia Van Vlierberghe, Hans Lai, Quirino Silva, Marcelo Rubinstein, Fernando Duvoux, Christophe JHEP Rep Research Article BACKGROUND & AIMS: Two recently developed composite models, the alpha-fetoprotein (AFP) score and Metroticket 2.0, could be used to select patients with hepatocellular carcinoma (HCC) who are candidates for liver transplantation (LT). The aim of this study was to compare the predictive performance of both models and to evaluate the net risk reclassification of post-LT recurrence between them using each model’s original thresholds. METHODS: This multicenter cohort study included 2,444 adult patients who underwent LT for HCC in 47 centers from Europe and Latin America. A competing risk regression analysis estimating sub-distribution hazard ratios (SHRs) and 95% CIs for recurrence was used (Fine and Gray method). Harrell’s adapted c-statistics were estimated. The net reclassification index for recurrence was compared based on each model’s original thresholds. RESULTS: During a median follow-up of 3.8 years, there were 310 recurrences and 496 competing events (20.3%). Both models predicted recurrence, HCC survival and survival better than Milan criteria (p <0.0001). At last tumor reassessment before LT, c-statistics did not significantly differ between the two composite models, either as original or threshold versions, for recurrence (0.72 vs. 0.68; p = 0.06), HCC survival, and overall survival after LT. We observed predictive gaps and overlaps between the model’s thresholds, and no significant gain on reclassification. Patients meeting both models (“within-ALL”) at last tumor reassessment presented the lowest 5-year cumulative incidence of HCC recurrence (7.7%; 95% CI 5.1-11.5) and higher 5-year post-LT survival (70.0%; 95% CI 64.9-74.6). CONCLUSIONS: In this multicenter cohort, Metroticket 2.0 and the AFP score demonstrated a similar ability to predict HCC recurrence post-LT. The combination of these composite models might be a promising clinical approach. IMPACT AND IMPLICATIONS: Composite models were recently proposed for the selection of liver transplant (LT) candidates among individuals with hepatocellular carcinoma (HCC). We found that both the AFP score and Metroticket 2.0 predicted post-LT HCC recurrence and survival better than Milan criteria; the Metroticket 2.0 did not result in better reclassification for transplant selection compared to the AFP score, with predictive gaps and overlaps between the two models; patients who met low-risk thresholds for both models had the lowest 5-year recurrence rate. We propose prospectively testing the combination of both models, to further optimize the LT selection process for candidates with HCC. Elsevier 2022-12-05 /pmc/articles/PMC9860475/ /pubmed/36691474 http://dx.doi.org/10.1016/j.jhepr.2022.100644 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article Piñero, Federico Costentin, Charlotte Degroote, Helena Notarpaolo, Andrea Boin, Ilka FSF. Boudjema, Karim Baccaro, Cinzia Chagas, Aline Bachellier, Philippe Ettorre, Giuseppe Maria Poniachik, Jaime Muscari, Fabrice Dibenedetto, Fabrizio Duque, Sergio Hoyos Salame, Ephrem Cillo, Umberto Marciano, Sebastián Vanlemmens, Claire Fagiuoli, Stefano Carrilho, Flair Cherqui, Daniel Burra, Patrizia Van Vlierberghe, Hans Lai, Quirino Silva, Marcelo Rubinstein, Fernando Duvoux, Christophe AFP score and metroticket 2.0 perform similarly and could be used in a “within-ALL” clinical decision tool |
title | AFP score and metroticket 2.0 perform similarly and could be used in a “within-ALL” clinical decision tool |
title_full | AFP score and metroticket 2.0 perform similarly and could be used in a “within-ALL” clinical decision tool |
title_fullStr | AFP score and metroticket 2.0 perform similarly and could be used in a “within-ALL” clinical decision tool |
title_full_unstemmed | AFP score and metroticket 2.0 perform similarly and could be used in a “within-ALL” clinical decision tool |
title_short | AFP score and metroticket 2.0 perform similarly and could be used in a “within-ALL” clinical decision tool |
title_sort | afp score and metroticket 2.0 perform similarly and could be used in a “within-all” clinical decision tool |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9860475/ https://www.ncbi.nlm.nih.gov/pubmed/36691474 http://dx.doi.org/10.1016/j.jhepr.2022.100644 |
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