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血清白蛋白水平降低:慢性乙型肝炎病毒感染患者肝细胞癌的前瞻性风险预测指标。

Lower Serum Albumin Level: A Prospective Risk Predictor of Hepatocellular Carcinoma in Patients With Chronic Hepatitis B Virus Infection.

机构信息

Department of Interventional Radiology, The People's Hospital of Ganzhou City, Ganzhou, China.

Center for Molecular Pathology, Department of Basic Medicine, Gannan Medical University, Ganzhou, China.

出版信息

J Viral Hepat. 2024 Dec;31(12):857-865. doi: 10.1111/jvh.14008. Epub 2024 Sep 16.

DOI:10.1111/jvh.14008
PMID:39283028
Abstract

Hepatocellular carcinoma (HCC) is one of the most common malignant tumours in China, at high annual incidence and mortality. Chronic hepatitis B virus infection (CHB) is considered as a leading cause to bring about HCC in China. Serum albumin (ALB) level has been adopted to verify its risk with HCC development as a combination variable with other factors. However, the predictive value of a single ALB level on HBV-related HCC risk remained unclear. The aim of this study was to evaluate the prediction ability of serum ALB concentration on the risk of HBV-related HCC development. A prospectively enrolled clinical cohort compromising 2932 cases of CHB patients with at least 1-year exclusion window was selected to explore the predictive role of serum ALB level on incident HCC risk. Baseline clinical data including host characters and laboratory test were collected at the initial period of hospitalisation. The hazard ratio of ALB level associated with HCC development was assessed by Cox proportional hazards regression model using univariate and multivariate analyses. We evaluated the discrimination accuracy of ALB level in predicting HCC development by receiver operating characteristic (ROC) curves. Dose-dependent and time-dependent effects of ALB level on HCC risk prediction were demonstrated, respectively, using a restricted cubic spline and a Fine and Grey competing risk model. Referred to patients with higher ALB level, those with lower ALB level exhibited significantly increased risk of HCC development after adjustment for host variables (dichotomised analyses: hazard ratio = 3.12, 95% confidence interval 1.63-5.97, p = 8.23 × 10, p = 5.97 × 10; tertile analyses: hazard ratio = 2.07, 95% confidence interval 1.63-2.64, p = 3.77 × 10, p < 2.00 × 10; quartile analyses: hazard ratio = 2.10, 95% confidence interval 1.56-2.84, p = 9.87 × 10, p < 2.00 × 10). There was a statistically increasing trend on HCC risk which was found following by the decrease of ALB level (p < 0.0001). Similar findings were present by the Kaplan-Meier analysis, cumulative incidences of HCC development were significantly higher in patients with lower ALB levels, with the p value obtained from log-rank test were all < 0.0001. The result of dose-dependent effect showed hazard ratio (HR) value of HCC risk was gradually decreasing as the increasing of ALB level, with non-linear correlation being statistically significant (Wald χ = 20.59, p = 0.000). HR value in lower ALB level remained persistently prominent by fluctuating around 2.73 in the whole follow-up time by adjusting for host variables. Sub-cohort analysis by ROC revealed that the discrimination ability of the ALB model was performed better than Child-Pugh (C-P) model in both cohort of patients with 1-year (area under curve [AUC] 0.762 vs. 0.720) and 2-year exclusion window (AUC 0.768 vs. 0.728). The AUC added by ALB level was demonstrated significantly from host model to full model. Lower ALB level was significantly associated with an increased risk of HBV-related HCC and could provide extra useful clinical utility to other host features, which might be a promising non-invasive indicator for surveillance on HCC development.

摘要

肝细胞癌(HCC)是中国最常见的恶性肿瘤之一,年发病率和死亡率都很高。慢性乙型肝炎病毒感染(CHB)被认为是导致中国 HCC 的主要原因。血清白蛋白(ALB)水平已被用于验证其与 HCC 发展风险的关系,作为与其他因素相结合的变量。然而,单一 ALB 水平对 HBV 相关 HCC 风险的预测价值仍不清楚。本研究旨在评估血清 ALB 浓度对 HBV 相关 HCC 发生风险的预测能力。选择了一个前瞻性纳入的临床队列,包括 2932 例至少有 1 年排除窗口的 CHB 患者,以探讨血清 ALB 水平对 HCC 发生风险的预测作用。在入院初期收集了包括宿主特征和实验室检查在内的基线临床数据。使用单因素和多因素 Cox 比例风险回归模型评估 ALB 水平与 HCC 发展相关的风险比。我们通过接受者操作特征(ROC)曲线评估 ALB 水平在预测 HCC 发展中的判别准确性。使用限制性立方样条和 Fine 和 Grey 竞争风险模型分别证明了 ALB 水平对 HCC 风险预测的剂量依赖性和时间依赖性效应。与较高 ALB 水平的患者相比,调整宿主变量后,较低 ALB 水平的患者 HCC 发展风险显著增加(二分类分析:风险比=3.12,95%置信区间 1.63-5.97,p=8.23×10,p=5.97×10;三分位分析:风险比=2.07,95%置信区间 1.63-2.64,p=3.77×10,p=2.00×10;四分位分析:风险比=2.10,95%置信区间 1.56-2.84,p=9.87×10,p=2.00×10)。随着 ALB 水平的降低,HCC 风险呈统计学增加趋势(p<0.0001)。Kaplan-Meier 分析也得出了类似的结果,较低 ALB 水平的患者 HCC 发展的累积发生率明显更高,对数秩检验的 p 值均<0.0001。剂量依赖性效应的结果表明,随着 ALB 水平的升高,HCC 风险的 HR 值逐渐降低,具有统计学意义(Wald χ=20.59,p=0.000)。通过调整宿主变量,HR 值在整个随访时间内保持在 2.73 左右,在低 ALB 水平下仍然持续显著。ROC 子组分析显示,ALB 模型的判别能力在具有 1 年(曲线下面积 [AUC] 0.762 与 0.720)和 2 年排除窗口的患者队列中均优于 Child-Pugh(C-P)模型(AUC 0.768 与 0.728)。ALB 水平增加的 AUC 显著大于宿主模型至全模型。低 ALB 水平与 HBV 相关 HCC 的风险增加显著相关,并可为其他宿主特征提供额外的有用临床效用,可能是监测 HCC 发展的有前途的非侵入性指标。

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