评价透明质酸和III型前胶原肽作为直接作用抗病毒药物治疗反应的预测因子。

Mohamed A Abdelrazek, Ahmed I Elghwab, Ashraf A Tabll, Elsherbiny H Elsayed, Mohammed El Behery
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引用次数: 0

摘要

背景:对直接作用抗病毒药物(DAAs)的治疗反应是一个具有挑战性的问题,识别无反应患者非常重要。目的:探讨埃及慢性丙型肝炎患者血清透明质酸(HA)和III型前胶原n肽(PIIINP)基线水平与直接作用抗病毒药物治疗失败的关系。方法:采用灵敏的化学发光免疫分析法检测丙型肝炎患者(索非布韦/daclatasvir有反应和无反应)的HA和PIIINP。结果:无应答者的PIIINP (P = 0.0003)和HA (P < 0.0001)水平明显高于应答者,且具有较好的区分无应答者和持续病毒学应答患者的能力(HA曲线下面积= 0.766,PIIINP曲线下面积= 0.684)。Logistic回归分析显示,HA × PIIINP模型预测能力最强(曲线下面积= 0.809)。诊断表现优于单独使用每种标志物,具有良好的敏感性(74.7%)、特异性(74%)、阳性预测值(68.3%)、阴性预测值(79.6%)和准确性(74.3%)。HA × PIIINP增殖与肝酶升高(r = 0.212)、白蛋白降低(r = -0.26)、天冬氨酸转氨酶-血小板比值指数升高(r = 0.223)、纤维化-4评分升高(r = 0.216)显著相关(P < 0.05)。结论:纤维化标志物HA和PIIINP在预测丙型肝炎病毒DAAs治疗反应中具有重要作用。将HA与PIIINP值相乘可以提高检测治疗成功的敏感性,从而可能旨在改善治疗时间和疾病控制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of hyaluronic acid and type III procollagen peptide as predictors for treatment response to direct-acting antivirals.

Background: Treatment response to direct-acting antivirals (DAAs) is a challenging issue and the identification of non-responders patients is very important.

Aim: To evaluate the relation between baseline serum levels of hyaluronic acid (HA) and type III procollagen N-peptide (PIIINP) with direct-acting antivirals treatment failure in Egyptian patients with chronic hepatitis C.

Methods: Hepatitis C patients (responders and non-responders to sofosbuvir/daclatasvir) were tested for HA and PIIINP using sensitive chemiluminescent immunoassay.

Results: There were distinctly higher PIIINP (P = 0.0003) and HA (P < 0.0001) levels in non-responders than responders patients with a good ability for distinguishing non-responders from patients with sustained virological response (area under the curve = 0.766 for HA and 0.684 for PIIINP). Logistic regression analysis revealed that the HA × PIIINP is the model with the highest predictive ability (area under the curve = 0.809). Diagnostic performances were superior to each marker alone with good sensitivity (74.7%), specificity (74%), positive predictive (68.3%), negative predictive values (79.6%) and accuracy (74.3%). The multiplication of HA × PIIINP is correlated significantly (P < 0.05) with elevated liver enzymes (r = 0.212), decreased albumin (r = -0.26), elevated aspartate aminotransferase-platelet ratio index (r = 0.223) and elevated fibrosis-4 score (r = 0.216) scores.

Conclusion: These findings suggested the remarkable role of fibrogensis markers HA and PIIINP in the prediction of hepatitis C virus DAAs treatment response. Multiplying HA with PIIINP values increase the sensitivity to detect treatment success and thus may aim to improve treatment duration and the disease control.

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