Cost-effectiveness and prognostic model of hepatic arterial infusion chemotherapy for hepatocellular carcinoma with high tumor burden and/or Vp4 tumor thrombus compared with sorafenib: a post-hoc analysis of the FOHAIC-1 trial

医学 肝细胞癌 索拉非尼 内科学 肿瘤科 放射性武器 成本效益 比例危险模型 放射科 外科 胃肠病学 风险分析(工程)
作者
Qifeng Chen,Ning Lyu,Xun Wang,Xiongying Jiang,Hu Yue,Song Chen,Sui‐Xing Zhong,Zilin Huang,Minshan Chen,Ming Zhao
出处
期刊:International Journal of Surgery [Wolters Kluwer]
卷期号:109 (12): 3929-3939 被引量:3
标识
DOI:10.1097/js9.0000000000000683
摘要

Objectives: The phase III FOHAIC-1 trial revealed that hepatic arterial infusion of chemotherapy (HAIC) improved overall survival compared to sorafenib in the high-risk hepatocellular carcinoma (HCC). This study therefore set out to evaluate the cost-effectiveness and establish a prognostic clinico-radiological score of HAIC. Materials and methods: A total of 409 patients with high-risk HCC who received HAIC between 2014 and 2020 were included. A Markov model was applied in the cost-effectiveness analysis using data from the FOHAIC-1 trial. In prognosis analysis, a clinico-radiological score was developed using a Cox-regression model and subsequently confirmed in the internal validation and test cohorts. The area under the curve from receiver operator characteristic analysis was used to assess the performance of the clinico-radiological score. Results: HAIC resulted in an incremental cost-effectiveness ratio of $10190.41/quality-adjusted life years compared to sorafenib, which was lower than the willingness-to-pay threshold. Probabilistic sensitivity analysis predicted a ≥99.9% probability that the incremental cost-effectiveness ratio was below the willingness-to-pay. The Cox analysis identified five factors, namely extrahepatic metastasis (m), arterial enhancing type (a), tumor number (nu), albumin-bilirubin index (a), and involved lobe (l), which together comprise the clinico-radiological score (HAIC-manual). Patients were classified into three groups based on the number of factors present, with cutoffs at 2 and 4 factors. The stratified median overall survival for these groups were 21.6, 10.0, and 5.9 months, respectively ( P <0.001). These findings were verified through internal validation and test cohorts with a significance level of P ≤0.01. The time-dependent area under the curve from receiver operator characteristic for the ability of the HAIC-manual to predict survival in 1, 2, and 3 years were 0.71, 0.76, and 0.78, which significantly outperformed existing staging systems. Conclusion: HAIC is a promising and cost-effective strategy for patients with high-risk HCC. The clinico-radiological score may be a simple prognostic tool for predicting HAIC treatment.
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