Predictive Value of Age-Adjusted Charlson Comorbidity Index on Survival Outcomes of Hepatocellular Carcinoma Patients with Comorbidities Undergoing Radiofrequency Ablation

年龄校正的Charlson合并症指数对接受射频消融治疗的合并症肝细胞癌患者生存结局的预测价值

阅读:1

Abstract

PURPOSE: This study aimed to explore the predictive value of Age-Adjusted Charlson Comorbidity Index (ACCI) on survival outcomes in patients with hepatocellular carcinoma (HCC) and comorbidities undergoing radiofrequency ablation (RFA). MATERIALS AND METHODS: This study is a retrospective, single-center study which included 158 patients with HCC newly diagnosed at our center from January 2015 to December 2021 who had comorbidities prior to RFA treatment. Patients were divided into two groups (≤4 and >4) according to the optimal cutoff value of ACCI determined by X-tile analysis based on overall survival (OS), and comprehensive clinical, laboratory, and tumor characteristic data were collected. The primary endpoints were OS and recurrence-free survival (RFS), analyzed using the Kaplan-Meier method and Cox proportional hazards model. RESULTS: Patients in the high ACCI group (>4) were independently associated with worse OS and RFS compared to those in the low ACCI group (≤4). Multivariate Cox analysis confirmed that ACCI >4 was an independent risk factor for both OS and RFS, with hazard ratios (HR) of 2.07 and 2.05, respectively. In addition to ACCI, other independent predictors for worse OS included tumor max-diameter (HR: 1.69, P < 0.001) and elevated level of preoperative α-fetoprotein (HR: 1.91, P = 0.007), while preoperative albumin (HR: 0.93, P=0.001) was a significant protective factor for OS. For RFS, significant risk factors included tumor max-diameter (HR: 1.79, P < 0.001) and prothrombin time ≥ 13 seconds (HR: 2.38, P = 0.001). CONCLUSION: ACCI may serve as a useful prognostic predictor for survival outcomes in HCC patients with comorbidities undergoing RFA.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。