预测肝细胞癌切除术后并发症的动态 ALBI 评分和 FIB-4 指数趋势:K-均值聚类方法

IF 3.5 2区 医学 Q2 ONCOLOGY
Ejso Pub Date : 2025-02-22 DOI:10.1016/j.ejso.2025.109723
Miho Akabane , Jun Kawashima , Abdullah Altaf , Selamawit Woldesenbet , François Cauchy , Federico Aucejo , Irinel Popescu , Minoru Kitago , Guillaume Martel , Francesca Ratti , Luca Aldrighetti , George A. Poultsides , Yuki Imaoka , Andrea Ruzzenente , Itaru Endo , Ana Gleisner , Hugo P. Marques , Vincent Lam , Tom Hugh , Nazim Bhimani , Timothy M. Pawlik
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引用次数: 0

摘要

本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic ALBI score and FIB-4 index trends to predict complications after resection of hepatocellular carcinoma: A K-means clustering approach

Background

Severe postoperative complications still occur following hepatectomy among patients with hepatocellular carcinoma (HCC). There is a need to identify high-risk patients for severe complications to enhance patient safety. We sought to evaluate the combined impact of pre- and postoperative albumin-bilirubin (ALBI) score and Fibrosis-4 (FIB-4) index trends to predict severe complications after HCC resection.

Method

Patients with HCC undergoing curative-intent hepatectomy (2000–2023) were identified from an international, multi-institutional database. The cohort was divided into training (n = 439) and testing (n = 651) sets. ALBI score and FIB-4 index trends from preoperative to postoperative days 1, 3, and 5 were used for K-means clustering (K = 3). A logistic regression model was developed using the training set, and its performance was evaluated using the area under the receiver operating characteristic curve (AUC) in both cohorts.

Results

Severe complications (Clavien-Dindo Grade ≥ IIIa) occurred in 118 patients (10.8 %); 43 (9.8 %) in training and 75 (11.5 %) in testing set (p = 0.42). K-means clustering identified three groups: Cluster1 (low), Cluster2 (intermediate), and Cluster3 (high), which was associated with a progressively increasing risk of complications (p < 0.01). On multivariable logistic regression, patients in ALBI Cluster1 had 76 % decreased odds (odds ratio[OR] 0.24, 95 % CI 0.07–0.83, p = 0.02) of postoperative complications relative to Cluster3 patients. Individuals categorized into FIB-4 Cluster1 had 85 % decreased odds (OR 0.15, 95 % CI 0.02–1.24, p = 0.07) versus patients in FIB-4 Cluster3. A new prediction model incorporating ALBI and FIB-4 index clusters achieved an AUC of 0.71, outperforming models based on preoperative data. A tool was made available at https://nm49jf-miho-akabane.shinyapps.io/HCC_ALBI/.

Conclusion

A dynamic ALBI score and FIB-4 index trend tool improved risk stratification of patients undergoing resection of HCC relative to severe complications.
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来源期刊
Ejso
Ejso 医学-外科
CiteScore
6.40
自引率
2.60%
发文量
1148
审稿时长
41 days
期刊介绍: JSO - European Journal of Surgical Oncology ("the Journal of Cancer Surgery") is the Official Journal of the European Society of Surgical Oncology and BASO ~ the Association for Cancer Surgery. The EJSO aims to advance surgical oncology research and practice through the publication of original research articles, review articles, editorials, debates and correspondence.
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