Geng Nan, Ma Lina, Jin Yi, Lu Junfeng, Zheng Yanhong, Wang Junli, Wang Xiaoxiao, Chen Xinyue
Beijing Youan Hospital, Capital Medical University, Beijing 100069, China.
Diagnostics (Basel). 2024 Jan 4;14(1):118. doi: 10.3390/diagnostics14010118.
To evaluate the prediction model comprised of patients' laboratory results and single-nucleotide polymorphism (SNP) markers of host gene for the clearance of hepatitis B surface antigen (HBsAg) in patients with chronic hepatitis B (CHB) who underwent interferon (IFN)-α therapy, this prospective case-control study enrolled 131 patients with CHB who underwent IFN-α-based regimens in our hospital between January 2015 and September 2019. Among them, 56 cases were without HBsAg clearance, while the other 75 cases had HBsAg clearance. Multivariable logistic regression analysis showed that CYP27B1 rs4646536 (odd ratio [OR] = 0.155, 95% CI: 0.030-0.807, = 0.027), PAK4 rs9676717 (OR = 11.237, 95% CI: 1.768-71.409, = 0.010), IL28B rs12979860 (OR = 0.059, 95% CI: 0.006-0.604, = 0.017), baseline HBsAg (OR = 0.170, 95% CI: 0.040-0.716, = 0.016), and HBeAg status (OR = 3.971, 95% CI: 1.138-13.859, = 0.031) were independently associated with HBsAg clearance. The model that included rs3077, rs4646536, rs9676717, rs2850015, rs12979860, baseline HBsAg, HBeAg status, and HBV DNA had the best prediction performance for HBsAg clearance prediction, with AUC = 0.877, 80% sensitivity, and 81% specificity. In conclusion, laboratory results and gene polymorphisms before treatment might have a good predictive value for HbsAg clearance after IFN-α treatment in CHB.
为了评估由慢性乙型肝炎(CHB)患者的实验室检查结果和宿主基因单核苷酸多态性(SNP)标记组成的预测模型,以预测接受干扰素(IFN)-α治疗的CHB患者乙肝表面抗原(HBsAg)的清除情况,这项前瞻性病例对照研究纳入了2015年1月至2019年9月在我院接受基于IFN-α方案治疗的131例CHB患者。其中,56例患者的HBsAg未清除,而另外75例患者的HBsAg已清除。多变量逻辑回归分析显示,CYP27B1 rs4646536(比值比[OR]=0.155,95%置信区间:0.030-0.807,P=0.027)、PAK4 rs9676717(OR=11.237,95%置信区间:1.768-71.409,P=0.010)、IL28B rs12979860(OR=0.059,95%置信区间:0.006-0.604,P=0.017)、基线HBsAg(OR=0.170,95%置信区间:0.040-0.716,P=0.016)和HBeAg状态(OR=3.971,95%置信区间:1.138-13.859,P=0.031)与HBsAg清除独立相关。包含rs3077、rs4646536、rs9676717、rs2850015、rs12979860、基线HBsAg、HBeAg状态和HBV DNA的模型对HBsAg清除预测具有最佳预测性能,曲线下面积(AUC)=0.877,灵敏度为80%,特异度为81%。总之,治疗前的实验室检查结果和基因多态性可能对CHB患者IFN-α治疗后HbsAg清除具有良好的预测价值。