Institute of Hepatology, Changzhou Third People's Hospital, Changzhou, Jiangsu, China.
Department of Infectious Diseases, Changzhou Third People's Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, Jiangsu, China.
PeerJ. 2023 Mar 24;11:e15014. doi: 10.7717/peerj.15014. eCollection 2023.
We aimed to evaluate the prediction values of non-invasive models for hepatocellular carcinoma (HCC) development in patients with HBV-related liver cirrhosis (LC) and long-term NA treatment.
Patients with compensated or decompensated cirrhosis (DC), who achieved long-term virological response, were enrolled. DC and its stages were defined by the complications including ascites, encephalopathy, variceal bleeding, or renal failure. Prediction accuracy of several risk scores, including ALBI, CAMD, PAGE-B, mPAGE-B and aMAP, was compared.
The median follow-up duration was 37 (28-66) months. Among the 229 patients, 9 (9.57%) patients in the compensated LC group and 39 (28.89%) patients in the DC group developed HCC. The incidence of HCC was higher in the DC group ( = 12.478, < 0.01). The AUROC of ALBI, aMAP, CAMD, PAGE-B and mPAGE-B scores were 0.512, 0.667, 0.638, 0.663, 0.679, respectively. There was no significant difference in AUROC between CAMD, aMAP, PAGE-B and mPAGE-B (all > 0.05). Univariable analysis showed that age, DC status and platelet were associated with HCC development, and multivariable analysis showed that age and DC status (both < 0.01) were independent risk factors for HCC development, then Model (Age_DC) was developed and its AUROC was 0.718. Another model, Model (Age_DC_PLT_TBil) consisting of age, DC stage, PLT, TBil was also developed, and its AUROC was larger than that of Model (Age_DC) (0.760 . 0.718). Moreover, AUROC of Model (Age_DC_PLT_TBil) was larger than the other five models (all < 0.05). With an optimal cut-off value of 0.236, Model (Age_DC_PLT_TBil) achieved 70.83% sensitivity, 76.24% specificity.
There is a lack of non-invasive risk scores for HCC development in HBV-related DC, and a new model consisting of age, DC stage, PLT, TBil may be an alternative.
我们旨在评估非侵入性模型在 HBV 相关肝硬化(LC)和长期 NA 治疗患者中预测肝细胞癌(HCC)发展的价值。
纳入长期病毒学应答的代偿性或失代偿性肝硬化(DC)患者。DC 及其分期由腹水、脑病、静脉曲张出血或肾衰竭等并发症定义。比较了几种风险评分的预测准确性,包括 ALBI、CAMD、PAGE-B、mPAGE-B 和 aMAP。
中位随访时间为 37(28-66)个月。在 229 名患者中,9 名(9.57%)代偿性 LC 组患者和 39 名(28.89%)DC 组患者发生 HCC。DC 组 HCC 发生率较高( = 12.478, < 0.01)。ALBI、aMAP、CAMD、PAGE-B 和 mPAGE-B 评分的 AUROC 分别为 0.512、0.667、0.638、0.663 和 0.679。CAMD、aMAP、PAGE-B 和 mPAGE-B 之间的 AUROC 无显著差异(均 > 0.05)。单变量分析显示,年龄、DC 状态和血小板与 HCC 发生有关,多变量分析显示,年龄和 DC 状态(均 < 0.01)是 HCC 发生的独立危险因素,然后建立了模型(Age_DC),其 AUROC 为 0.718。还建立了另一个模型,由年龄、DC 分期、PLT、TBil 组成的模型(Age_DC_PLT_TBil),其 AUROC 大于模型(Age_DC)(0.760. 0.718)。此外,模型(Age_DC_PLT_TBil)的 AUROC 大于其他五个模型(均 < 0.05)。当最佳截断值为 0.236 时,模型(Age_DC_PLT_TBil)的灵敏度为 70.83%,特异性为 76.24%。
HBV 相关 DC 中缺乏 HCC 发生的非侵入性风险评分,包含年龄、DC 分期、PLT、TBil 的新模型可能是一种替代方法。