机构地区:[1]首都医科大学附属北京佑安医院肝病中心,北京100069 [2]国家感染性疾病临床研究中心,南方科技大学第二附属医院(深圳市第三人民医院)检验医学部,广州深圳518112 [3]北京大学前沿交叉学科研究院,北京100871 [4]基因诊断技术湖南省重点实验室,长沙410205 [5]首都医科大学电力教学医院感染性疾病科,北京100073 [6]北京大学基础医学院病原生物学系暨感染病中心,北京100191
出 处:《临床肝胆病杂志》2023年第5期1070-1075,共6页Journal of Clinical Hepatology
基 金:国家科技重大专项“艾滋病和病毒性肝炎等重大传染病防治”(2017ZX10302201-004,2017ZX10202203-006,2017ZX10201201,2017ZX10203201-005)。
摘 要:目的评估基线血清指标HBV DNA、HBV RNA、HBsAg和HBcrAg联合对HBeAg阳性慢性乙型肝炎患者(CHB)核苷(酸)类似物治疗过程中HBeAg血清学转换的预测能力。方法以2007年6月—2008年7月首都医科大学附属北京佑安医院疑难肝病及人工肝中心组建的CHB前瞻性随访队列中83例HBeAg阳性患者为研究对象,回顾性分析基线血清HBV DNA、HBV RNA、HBsAg和HBcrAg水平。计量资料两组间比较采用成组t检验或Mann-Whitney U检验。计数资料两组间比较采用χ^(2)检验。采用Spearman法进行相关性分析。构建Cox回归模型并计算HBeAg转换预测评分,时间依赖性受试者工作特征曲线评估病毒学标志物联合对HBeAg血清学转换的预测能力。不同组别累积转换率的计算使用Kaplan-Meier分析,差异比较采用Log-rank检验。结果83例HBeAg阳性患者中位随访108个月,其中44.58%(37/83)的患者发生HBeAg血清学转换。HBeAg转换组患者基线血清HBV DNA[6.23(1.99~9.28)log 10 IU/mL vs 7.69(2.05~8.96)log 10 IU/mL,Z=-2.345,P=0.019]和HBV RNA[4.81(1.40~7.53)log 10拷贝/mL vs 6.22(2.00~8.49)log 10拷贝/mL,Z=-1.702,P=0.010]水平显著低于未转换组;HBsAg和HBcrAg水平两组间比较,差异均无统计意义(P值均>0.05)。基于以上血清标志物构建Cox回归方程,计算联合预测HBeAg血清学转换评分中位数为0.95(范围0.37~3.45)。在总体患者中,联合评分与HBsAg、HBV DNA、HBV RNA和HBcrAg呈负相关,相关系数分别为-0.697、-0.787、-0.990和-0.819(P值均<0.001)。基于联合预测评分中位值,将患者分为高HBeAg转换组和低HBeAg转换组,预测36个月、60个月及84个月时HBeAg血清学转换率,高HBeAg转换组分别为43.90%、51.20%和63.10%,低HBeAg转换组分别为9.60%、17.00%和19.80%,两组间差异有统计学意义(χ^(2)=11.6,P<0.001)。结论基于基线血清HBV标志物构建的联合预测评分可以预测CHB患者核苷(酸)类似物治疗过程中HBeAg的血清学转换。Objective To investigate the ability of combined baseline serum markers,i.e.,HBV DNA,HBV RNA,HBsAg,and HBcrAg,to predict HBeAg seroconversion in patients with HBeAg-positive chronic hepatitis B(CHB)treated by nucleos(t)ide analogues.Methods A retrospective analysis was performed for 83 HBeAg-positive patients selected as subjects from the prospective CHB follow-up cohort established by Difficult&Complicated Liver Diseases and Artificial Liver Center,Beijing YouAn Hospital,Capital Medical University,from June 2007 to July 2008,and the baseline serum levels of HBV DNA,HBV RNA,HBsAg,and HBcrAg were analyzed.The t-test or the Mann-Whitney U test was used for comparison of continuous data between two groups,and the chi-square test was used for comparison of categorical data between two groups.The Spearman method was used for correlation analysis.A Cox regression model was established to calculate HBeAg seroconversion prediction score,and the time-dependent receiver operating characteristic curve was used to evaluate the ability of combined markers in predicting HBeAg seroconversion.The Kaplan-Meier method was used to calculate cumulative seroconversion rate in each group,and the Log-rank test was used for comparison between groups.Results For the 83 HBeAg-positive patients,the median follow-up time was 108 months,and 44.58%(37/83)of these patients achieved HBeAgseroconversion.Compared with the non-seroconversion group,the HBeAg seroconversion group had significantly lower baseline serum levels of HBV DNA[6.23(1.99-9.28)log 10 IU/mL vs 7.69(2.05-8.96)log 10 IU/mL,Z=-2.345,P=0.019]and HBV RNA[4.81(1.40-7.53)log 10 copies/mL vs 6.22(2.00-8.49)log 10 copies/mL,Z=-1.702,P=0.010],and there were no significant differences in the levels of HBsAg and HBcrAg between the two groups(P>0.05).The Cox regression equation constructed based on the above serum markers showed a median score of 0.95(range 0.37-3.45)for predicting HBeAg seroconversion.In the total population,the combined score was negatively correlated with HBsAg,HBV DNA,
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