Graduate Institute of Epidemiology and Preventative Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan.
J Hepatol. 2013 May;58(5):853-60. doi: 10.1016/j.jhep.2012.12.006. Epub 2012 Dec 13.
BACKGROUND & AIMS: Seroclearance of hepatitis B surface antigen (HBsAg) is the most ideal end point in the treatment of chronic hepatitis B. This study develops a predictive scoring system to assess whether the addition of serum levels HBsAg may improve the predictability of HBsAg loss.
This study included 2491 untreated participants with genotype B or C HBV infection, who were HBsAg-seropositive, HBeAg-seronegative, anti-HCV-seronegative, and cirrhosis free at study entry. Regression coefficients of predictors in Cox Regression models were converted into integer scores for predicting HBsAg seroclearance. Predictive accuracy was assessed with area under the receiver operating characteristic curves (AUROC), and predictive accuracies of models with and without serum HBsAg levels were compared.
Low serum levels of both HBsAg and HBV DNA were the strongest predictors of spontaneous HBsAg seroclearance. Compared to baseline serum HBsAg levels ≥1000 IU/ml, the multivariate adjusted rate ratio of spontaneous HBsAg seroclearance was 10.96 (7.92-15.16) for those with baseline serum HBsAg levels <100 IU/ml. The predictive ability of HBsAg levels was modified by HBV viral load, showing a weaker effect in those with higher viral loads, and the strongest effect among those with undetectable viral loads. The inclusion of serum HBsAg levels greatly improved the AUROC for predicting HBsAg seroclearance at the fifth (from 0.79 [0.787-0.792] to 0.89 [0.889-0.891]) and tenth year (from 0.73 [0.728-0.732] to 0.84 [0.839-0.841]) after study entry.
Incorporated into an easy-to-use scoring system, HBV viral load and quantitative serum HBsAg levels can accurately predict HBsAg seroclearance.
乙肝表面抗原(HBsAg)血清清除是慢性乙型肝炎治疗的最理想终点。本研究建立了一个预测评分系统,以评估血清 HBsAg 水平的增加是否可以提高 HBsAg 丢失的预测能力。
本研究纳入了 2491 名未经治疗的基因型 B 或 C 乙型肝炎病毒感染者,他们在研究入组时 HBsAg 阳性、HBeAg 阴性、抗 HCV 阴性且无肝硬化。Cox 回归模型中预测因子的回归系数转换为整数评分,用于预测 HBsAg 血清清除。通过接受者操作特征曲线下面积(AUROC)评估预测准确性,并比较有无血清 HBsAg 水平的模型的预测准确性。
HBsAg 和 HBV DNA 的低血清水平是自发 HBsAg 血清清除的最强预测因子。与基线血清 HBsAg 水平≥1000IU/ml 相比,基线血清 HBsAg 水平<100IU/ml 的患者自发 HBsAg 血清清除的多变量调整后率比为 10.96(7.92-15.16)。HBsAg 水平的预测能力受 HBV 病毒载量的影响,在病毒载量较高的患者中影响较弱,在病毒载量不可检测的患者中影响最强。纳入血清 HBsAg 水平可显著提高预测 HBsAg 血清清除的 AUROC,在研究入组后第 5 年(从 0.79[0.787-0.792]升至 0.89[0.889-0.891])和第 10 年(从 0.73[0.728-0.732]升至 0.84[0.839-0.841])。
纳入易于使用的评分系统中,HBV 病毒载量和定量血清 HBsAg 水平可以准确预测 HBsAg 血清清除。