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甲胎蛋白(AFP)评分与地铁票2.0表现相似,可用于“ALL内部”的临床决策工具中。

AFP score and metroticket 2.0 perform similarly and could be used in a "within-ALL" clinical decision tool.

作者信息

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

机构信息

Hospital Universitario Austral, School of Medicine, Austral University, Argentina and Latin American Liver Research Educational and Awareness Network (LALREAN), Argentina.

Grenoble Alpes University, Institute for Advanced Biosciences, Research Center UGA/Inserm U 1209/CNRS 5309, Gastroenterology, Hepatology and GI Oncology Department, Digidune, Grenoble Alpes University Hospital, La Tronche, France.

出版信息

JHEP Rep. 2022 Dec 5;5(2):100644. doi: 10.1016/j.jhepr.2022.100644. eCollection 2023 Feb.

Abstract

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 ( <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 . 0.68;  = 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 ( 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.

摘要

背景与目的

最近开发的两种综合模型,即甲胎蛋白(AFP)评分和Metroticket 2.0,可用于选择适合肝移植(LT)的肝细胞癌(HCC)患者。本研究的目的是比较这两种模型的预测性能,并使用每个模型的原始阈值评估它们之间LT后复发的净风险重新分类。

方法

这项多中心队列研究纳入了来自欧洲和拉丁美洲47个中心的2444例因HCC接受LT的成年患者。使用竞争风险回归分析估计复发的亚分布风险比(SHR)和95%CI(Fine和Gray方法)。估计了Harrell调整后的c统计量。基于每个模型的原始阈值比较复发的净重新分类指数。

结果

在中位随访3.8年期间,有310例复发和496例竞争事件(20.3%)。两种模型在预测复发、HCC生存率和总生存率方面均优于米兰标准(<0.0001)。在LT前的最后一次肿瘤重新评估时,两种综合模型在复发(0.72对0.68;P=0.06)、HCC生存率和LT后的总生存率方面,无论是原始版本还是阈值版本,c统计量均无显著差异。我们观察到模型阈值之间存在预测差距和重叠,且重新分类无显著改善。符合两种模型(在最后一次肿瘤重新评估时)的患者HCC复发的5年累积发生率最低(7.7%;95%CI 5.1-11.5),LT后5年生存率较高(70.0%;95%CI 64.9-74.6)。

结论

在这个多中心队列中,Metroticket 2.0和AFP评分在预测LT后HCC复发方面表现出相似的能力。这些综合模型的联合应用可能是一种有前景的临床方法。

影响与意义

最近提出了综合模型用于在肝细胞癌(HCC)个体中选择肝移植(LT)候选者。我们发现AFP评分和Metroticket 2.0在预测LT后HCC复发和生存率方面均优于米兰标准;与AFP评分相比,Metroticket 2.0在移植选择的重新分类方面并未表现更好,两种模型之间存在预测差距和重叠;符合两种模型低风险阈值的患者5年复发率最低。我们建议前瞻性地测试两种模型的联合应用,以进一步优化HCC候选者的LT选择过程。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7462/9860475/2747b1deacbc/ga1.jpg

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