丙型肝炎病毒根除后肝癌风险的预测模型。

IF 3.4 3区 医学 Q2 ONCOLOGY
Journal of Hepatocellular Carcinoma Pub Date : 2025-10-13 eCollection Date: 2025-01-01 DOI:10.2147/JHC.S548870
Wei-Fan Hsu, Ching-Chu Lo, Kuo-Chih Tseng, Hsueh-Chou Lai, Chi-Yi Chen, Cheng-Yuan Peng
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引用次数: 0

摘要

目的:慢性丙型肝炎(CHC)患者肝细胞癌(HCC)的预测因素和直接作用抗病毒治疗后持续的病毒学反应尚不清楚。患者与方法:2012年9月至2022年3月,本回顾性研究从台湾4家医院连续入组4426例患者。将患者分为衍生组(n = 3178)和验证组(n = 1248)。结果:在衍生组中,年龄、糖尿病、血小板、白蛋白和抗病毒治疗后12周的甲胎蛋白是肝细胞癌的独立预测因素。我们将这些预测因素纳入一种新的风险预测模型,称为AAAPD-C评分(年龄、白蛋白、甲胎蛋白水平、血小板计数和糖尿病状态),总风险评分范围为0到12。随访结束时,验证组AAAPD-C评分在受试者工作特征曲线下的面积为0.867。风险评分准确地将两组患者分为低、中、高风险。无晚期肝纤维化且AAAPD-C风险评分中高(4-12)的患者,HCC年发病率为每1000人年0.4例。结论:AAAPD-C评分可预测慢性丙型肝炎患者发生HCC的风险及直接作用抗病毒治疗后持续的病毒学反应。该工具准确且价格低廉,临床医生可以使用它来识别在病毒根除后存在HCC风险的慢性丙型肝炎患者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Prediction Model for Risk of Hepatocellular Carcinoma After Hepatitis C Viral Eradication.

Prediction Model for Risk of Hepatocellular Carcinoma After Hepatitis C Viral Eradication.

Prediction Model for Risk of Hepatocellular Carcinoma After Hepatitis C Viral Eradication.

Prediction Model for Risk of Hepatocellular Carcinoma After Hepatitis C Viral Eradication.

Purpose: The predictors of hepatocellular carcinoma (HCC) in patients with chronic hepatitis C (CHC) and a sustained virologic response after direct-acting antiviral therapy are not well known.

Patients and methods: Between September 2012 and March 2022, this retrospective study enrolled 4426 consecutive patients from 4 hospitals in Taiwan. The patients were divided into derivation (n = 3178) and validation (n = 1248) groups.

Results: In the derivation group, age, diabetes mellitus, platelet, albumin, and alpha-fetoprotein at 12 weeks after antiviral therapy were independent predictors of hepatocellular carcinoma. We incorporated these predictors into a novel risk prediction model called the AAAPD-C score (age, albumin, alpha-fetoprotein level, platelet count, and diabetes mellitus status), with total risk scores ranging from 0 to 12. The AAAPD-C score had an area under the receiver operating characteristic curve of 0.867 for the validation group at the end of follow-up. The risk score accurately classified patients in both groups into those with low, medium, and high risks. Patients without advanced liver fibrosis with medium-high AAAPD-C risk scores (4-12) had an annual incidence of HCC >4 per 1000 person-years.

Conclusion: The AAAPD-C score can predict the risk of HCC in patients with chronic hepatitis C and a sustained virologic response after direct-acting antiviral therapy. The tool is accurate and inexpensive, and clinicians can use it to identify patients with chronic hepatitis C at risk of HCC following viral eradication.

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来源期刊
CiteScore
0.50
自引率
2.40%
发文量
108
审稿时长
16 weeks
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