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EZ-ALBI评分和PALBI评分有助于ALBI在预测肝癌术后复发方面的临床应用。

The EZ-ALBI and PALBI scores contribute to the clinical application of ALBI in predicting postoperative recurrence of HCC.

作者信息

Sun Tao, Wang Xiangkun, Zhu Guangcan, Zhang Jinfu, Huang Juan, Li Renfeng, Qiu Xinguang

机构信息

Department of Hepatopancreatobiliary Surgery, The First Affiliated Hospital of Zhengzhou University, Jianshe East Road No. 1, Zhengzhou, 450000, China.

Department of General Surgery, Henan Provincial Hospital of Traditional Chinese Medicine (The Second Affiliated Hospital of Henan University of Traditional Chinese Medicine), Dongfeng Road No. 6, Zhengzhou, China.

出版信息

Sci Rep. 2025 Mar 17;15(1):9132. doi: 10.1038/s41598-025-93716-9.

DOI:10.1038/s41598-025-93716-9
PMID:40097642
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11914150/
Abstract

This research intends to assess the variance between EZ-ALBI and PALBI in forecasting recurrence following the resection of hepatocellular carcinoma (HCC). A retrospective analysis was conducted using clinical data from 522 HCC patients across two medical institutions. The study analyzed albumin-bilirubin values (ALBI), along with the Easy albumin-bilirubin values (EZ-ALBI) and the Platelet-albumin-bilirubin values(PALBI), while assessing the clinical traits of patients across various grades. The analysis focused on the connections between ALBI, EZ-ALBI, and PALBI, as well as their variations in predicting the recurrence of HCC following surgical procedures. Notably, the clinical characteristics of patients exhibiting varying levels of PALBI differed from those categorized under ALBI and EZ-ALBI; however, the ALBI grade shared similar characteristics with the EZ-ALBI category. A strong correlation was found between ALBI and EZ-ALBI, with a coefficient of 0.862 (95% CI: 0.838-0.882, p < 0.01), whereas ALBI and PALBI yielded a coefficient of 0.760 (95% CI: 0.838-0.882, p < 0.01). The correlation coefficient between PALBI and EZ-ALBI was recorded at 0.571 (95% CI: 0.510-0.626, p < 0.01). There was a notable difference in survival outcomes among HCC patients classified with ALBI/EZ-ALBI/PALBI grade 1 compared to those with grade 2 or 3. Additionally, Cox regression analysis identified that maximum tumor diameter (MTD), microvascular invasion (MVI), pathological grade, as well as ALBI/EZ-ALBI/PALBI grades, among other factors, were tied to a decline in progression-free survival (PFS). The area under the curve (AUC) for the ALBI model at the 1, 2, and 3-year postoperative mark was 0.705, 0.652, and 0.694, respectively. In parallel, the AUC of the EZ-ALBI model during the same time intervals was 0.708, 0.659, and 0.694, respectively. For PALBI, the AUC values recorded at 1, 2, and 3 years following surgery were 0.748, 0.707, and 0.725, respectively. ALBI, EZ-ALBI, and PALBI served as predictive indicators for the recurrence of HCC in patients after surgery. Compared to ALBI, EZ-ALBI offers greater convenience in forecasting the prognosis of HCC patients, whereas PALBI demonstrates more accuracy than ALBI in predicting their prognosis.

摘要

本研究旨在评估EZ-ALBI和PALBI在预测肝细胞癌(HCC)切除术后复发方面的差异。利用来自两家医疗机构的522例HCC患者的临床数据进行回顾性分析。该研究分析了白蛋白-胆红素值(ALBI)、简易白蛋白-胆红素值(EZ-ALBI)和血小板-白蛋白-胆红素值(PALBI),同时评估了不同分级患者的临床特征。分析重点关注ALBI、EZ-ALBI和PALBI之间的联系,以及它们在预测HCC手术后复发情况方面的差异。值得注意的是,PALBI水平不同的患者的临床特征与ALBI和EZ-ALBI分类下的患者不同;然而,ALBI分级与EZ-ALBI类别具有相似的特征。发现ALBI和EZ-ALBI之间存在强相关性,系数为0.862(95%CI:0.838 - 0.882,p < 0.01),而ALBI和PALBI的系数为0.760(95%CI:0.838 - 0.882,p < 0.01)。PALBI和EZ-ALBI之间的相关系数记录为0.571(95%CI:0.510 - 0.626,p < 0.01)。与ALBI/EZ-ALBI/PALBI 2级或3级的HCC患者相比,1级患者的生存结果存在显著差异。此外,Cox回归分析确定,最大肿瘤直径(MTD)、微血管侵犯(MVI)、病理分级以及ALBI/EZ-ALBI/PALBI分级等因素与无进展生存期(PFS)下降相关。ALBI模型在术后1年、2年和3年的曲线下面积(AUC)分别为0.705、0.652和0.694。同时,EZ-ALBI模型在相同时间间隔的AUC分别为0.708、0.659和0.694。对于PALBI,术后1年、2年和3年记录的AUC值分别为0.748、0.707和0.725。ALBI、EZ-ALBI和PALBI可作为HCC患者术后复发的预测指标。与ALBI相比,EZ-ALBI在预测HCC患者预后方面更方便,而PALBI在预测患者预后方面比ALBI更准确。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48bd/11914150/b94cf7ba37f6/41598_2025_93716_Fig6_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48bd/11914150/b94cf7ba37f6/41598_2025_93716_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48bd/11914150/cd0a07a5a53c/41598_2025_93716_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48bd/11914150/c1e430f90d2e/41598_2025_93716_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48bd/11914150/54c5a8b30e26/41598_2025_93716_Fig3_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48bd/11914150/180a5f65a4c0/41598_2025_93716_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48bd/11914150/b94cf7ba37f6/41598_2025_93716_Fig6_HTML.jpg

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