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Modeling hepatic fibrosis in African American and Caucasian American patients with chronic hepatitis C virus infection

机译:模拟非洲裔美国人和高加索裔美国慢性丙型肝炎病毒感染患者的肝纤维化

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摘要

Assessment of histological stage is an integral part of disease management in patients infected with the hepatitis C virus (HCV). The aim of this study was to develop a model incorporating objective clinical and laboratory parameters to estimate the probability of severe fibrosis ( i.e. , Ishak fibrosis ≥ 3) in previously untreated African American (AA) and Caucasian American (CA) patients with HCV genotype 1. The Ishak fibrosis scores of 205 CA and 194 AA patients enrolled in the Viral Resistance to Antiviral Therapy of Chronic Hepatitis C study (Virahep-C) were modeled using simple and multiple logistic regression. The model was then validated in an independent cohort of 461 previously untreated patients with HCV. The distribution of fibrosis scores was similar in the AA and CA patients as was the proportion of patients with severe fibrosis (35% vs. 39%, P = .47). After accounting for the number of portal areas in the biopsy, patient age, serum aspartate aminotransferase, alkaline phosphatase, and platelet count were independently associated with severe fibrosis in the overall cohort, and the relationship with fibrosis was similar in both the AA and CA subgroups. The area under the receiver operating characteristic curve (AUROC) of the Virahep-C model (0.837) was significantly better than in other published models ( P = .0003). The AUROC of the Virahep-C model was 0.851 in the validation population. In conclusion , a model consisting of widely available clinical and laboratory features predicted severe hepatic fibrosis equally well in AA and CA patients with HCV genotype 1 and was superior to other published models. The excellent performance of the Virahep-C model in an external validation cohort suggests the findings are replicable and potentially generalizable. (H EPATOLOGY 2006;44:925–935.)
机译:组织学阶段的评估是感染丙型肝炎病毒(HCV)的患者疾病管理的组成部分。这项研究的目的是建立一个包含客观临床和实验室参数的模型,以评估先前未经治疗的HCV基因型1的非洲裔美国人(AA)和高加索裔美国人(CA)发生严重纤维化(即Ishak纤维化≥3)的可能性。使用简单和多对数逻辑回归对205例CA和194例AA患者的Ishak纤维化评分进行了慢性C型肝炎抗病毒治疗的病毒抗性研究(Virahep-C)。然后在461名先前未经治疗的HCV患者的独立队列中验证了该模型。 AA和CA患者的纤维化得分分布与重度纤维化患者的比例相似(35%vs. 39%,P = 0.47)。在考虑了活检中的门静脉区域的数量之后,患者的年龄,血清天冬氨酸转氨酶,碱性磷酸酶和血小板计数与整个队列中的严重纤维化独立相关,并且AA和CA亚组与纤维化的关系相似。 Virahep-C模型的接收器工作特性曲线(AUROC)下的面积(0.837)明显优于其他已发布的模型(P = .0003)。在验证人群中,Virahep-C模型的AUROC为0.851。总之,一个由广泛可用的临床和实验室特征组成的模型在患有HCV基因型1的AA和CA患者中同样可以很好地预测严重的肝纤维化,并且优于其他已发表的模型。 Virahep-C模型在外部验证队列中的出色表现表明,这些发现是可复制的,并且可能具有普遍性。 (H EPATOLOGY 2006; 44:925-935。)

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