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预测接受抗病毒治疗的代偿性乙型肝炎病毒诱导肝硬化患者的肝脏相关事件。

Prediction of liver-related events in patients with compensated HBV-induced cirrhosis receiving antiviral therapy.

机构信息

Liver Research Center, Beijing Friendship Hospital, Capital Medical University, 95 Yong-an Road, Xi-Cheng District, Beijing, 100050, China.

Beijing Key Laboratory of Translational Medicine in Liver Cirrhosis, Beijing, China.

出版信息

Hepatol Int. 2021 Feb;15(1):82-92. doi: 10.1007/s12072-020-10114-1. Epub 2021 Jan 18.

Abstract

BACKGROUND AND AIMS

Many models have been developed to predict liver-related events (LRE) in chronic hepatitis B, few focused on compensated HBV-induced cirrhosis. We aimed to describe the incidence of LRE and to determine independent risk predictors of LRE in compensated HBV-induced cirrhosis patients receiving antiviral therapy using routinely available parameters.

METHODS

Prospective cohorts of treatment-naïve adults with compensated HBV-induced cirrhosis were enrolled. Patients were treated with entecavir (ETV) or ETV + thymosin-alpha1 (Thy-α1) or lamivudine (LAM) + adefovir (ADV). Data were collected at baseline and every 6 months. LRE was defined as development of decompensation, HCC or death.

RESULTS

Totally 937 patients were included, 608 patients treated with ETV, 252 with ETV + Thy-α1, and 77 with LAM + ADV. After a median follow-up of 4.5 years, 88 patients developed LRE including 48 with HCC. The cumulative incidence of LRE at year 1, 3, and 5 was 2.1%, 7.0%, and 12.7%, respectively, and was similar for three treatment groups. All models using variables at month 6 or 12 had better fit than models using baseline values. The best model for prediction of LRE used PLT, GGT, and AFP at month 6 [AUC: 0.762 (0.678-0.814)], for hepatic decompensation-PLT, LSM and GGT at month 12 (AUC: 0.834 (0.675-0.919)), and for HCC-AFP and GGT at month 6 [AUC 0.763 (0.691-0.828)]. All models had negative predictive values of 94.0-98.8%.

CONCLUSION

Models using on-treatment variables are more accurate than models using baseline variables in predicting LRE in patient with compensated HBV-induced cirrhosis receiving antiviral therapy. ClincialTrials.gov number NCT01943617, NCT01720238, NCT03366571, NCT02849132.

摘要

背景与目的

许多模型已被开发出来用于预测慢性乙型肝炎的肝脏相关事件(LRE),但很少有模型专门针对代偿性乙型肝炎病毒(HBV)诱导性肝硬化。我们旨在描述代偿性 HBV 诱导性肝硬化患者接受抗病毒治疗后 LRE 的发生率,并确定使用常规可获得参数预测 LRE 的独立风险预测因子。

方法

前瞻性队列研究招募了未经治疗的代偿性 HBV 诱导性肝硬化成年患者。患者接受恩替卡韦(ETV)或 ETV+胸腺肽-α1(Thy-α1)或拉米夫定(LAM)+阿德福韦(ADV)治疗。数据在基线和每 6 个月收集。LRE 定义为失代偿、HCC 或死亡的发生。

结果

共纳入 937 例患者,608 例接受 ETV 治疗,252 例接受 ETV+Thy-α1 治疗,77 例接受 LAM+ADV 治疗。中位随访 4.5 年后,88 例患者发生 LRE,其中 48 例为 HCC。LRE 在第 1、3 和 5 年的累积发生率分别为 2.1%、7.0%和 12.7%,3 种治疗组之间相似。使用 6 个月或 12 个月时变量的所有模型拟合度均优于使用基线值的模型。用于预测 LRE 的最佳模型使用 6 个月时的血小板(PLT)、谷氨酰转肽酶(GGT)和甲胎蛋白(AFP)[AUC:0.762(0.678-0.814)],用于预测肝失代偿的模型使用 12 个月时的 PLT、瞬时弹性成像(LSM)和 GGT[AUC:0.834(0.675-0.919)],用于预测 HCC 的模型使用 6 个月时的 AFP 和 GGT[AUC:0.763(0.691-0.828)]。所有模型的阴性预测值均为 94.0-98.8%。

结论

在接受抗病毒治疗的代偿性 HBV 诱导性肝硬化患者中,使用治疗中变量的模型比使用基线变量的模型更准确地预测 LRE。临床试验注册号:NCT01943617、NCT01720238、NCT03366571、NCT02849132。

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