Universitätsklinikum Charité, Campus Virchow-Klinikum, Universitätsmedizin Berlin, Berlin, Germany.
J Gastroenterol. 2011 Dec;46(12):1427-36. doi: 10.1007/s00535-011-0458-y. Epub 2011 Sep 13.
The critical analysis of baseline factors has been found to be useful to predict virologic nonresponse (NR), relapse, or sustained virologic response (SVR) in patients infected with hepatitis C virus (HCV) who receive antiviral therapy. In the present retrospective study we tried to find out whether gamma-glutamyltranspeptidase (GGT) may be one of the baseline factors which are of special predictive power. We analyzed, in patients with different treatment outcomes, the predictive power of established baseline factors either in combination with GGT or by evaluating the predictive value of GGT independently.
Individual data from 632 patients chronically infected with HCV type 1 (n = 561) or type 2/3 (n = 71) were analyzed. All patients had received their first course of antiviral therapy and were treated with pegylated interferon α-2a or -2b plus ribavirin.
In patients with HCV type 1, a multivariate multinomial logistic regression analysis identified low GGT (p < 0.0001), high cholesterol (p < 0.0001), age ≤ 40 years (p < 0.0001), high alanine aminotransferase (p = 0.0006), low viremia (p = 0.0014), and absence of cirrhosis (p = 0.0164) as independent predictors. While these baseline factors heralded improved virologic response, high GGT, in contrast, was significantly associated with NR (p < 0.0001). A strong correlation was found between log(10) GGT and a scoring variable S (r = -0.26 for prediction of SVR, p < 0.001; r = 0.11 for prediction of NR, p = 0.016) summarizing predictive information from other baseline factors.
These findings prove the predictive sensitivity of GGT as an independent indicator of nonresponsiveness even at levels that are slightly above the normal range. This new predictive parameter may help to improve individualized therapy in HCV type-1 infection.
对基线因素的批判性分析已被证明有助于预测接受抗病毒治疗的丙型肝炎病毒 (HCV) 感染患者的病毒学无应答 (NR)、复发或持续病毒学应答 (SVR)。在本回顾性研究中,我们试图找出γ-谷氨酰转肽酶 (GGT) 是否可能是具有特殊预测能力的基线因素之一。我们分析了不同治疗结果的患者,评估了 GGT 与其他既定基线因素联合或单独评估 GGT 的预测价值的预测能力。
分析了 632 例慢性 HCV 1 型 (n = 561) 或 2/3 型 (n = 71) 感染患者的个体数据。所有患者均接受了首疗程抗病毒治疗,接受聚乙二醇干扰素 α-2a 或 -2b 联合利巴韦林治疗。
在 HCV 1 型患者中,多变量多项逻辑回归分析确定低 GGT (p < 0.0001)、高胆固醇 (p < 0.0001)、年龄≤40 岁 (p < 0.0001)、高丙氨酸氨基转移酶 (p = 0.0006)、低病毒血症 (p = 0.0014) 和无肝硬化 (p = 0.0164) 为独立预测因素。虽然这些基线因素预示着病毒学应答改善,但相反,高 GGT 与 NR 显著相关 (p < 0.0001)。log(10) GGT 与总结其他基线因素预测信息的评分变量 S 之间存在很强的相关性 (r = -0.26 预测 SVR,p < 0.001;r = 0.11 预测 NR,p = 0.016)。
这些发现证明了 GGT 作为无应答的独立指标的预测敏感性,即使在略高于正常范围的水平也是如此。这个新的预测参数可能有助于改善 HCV 1 型感染的个体化治疗。