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无创标志物在预测慢性肝病患者肝纤维化程度中的作用。

Usefulness of non-invasive markers for predicting significant fibrosis in patients with chronic liver disease.

机构信息

Department of Internal Medicine, Korea University, Seoul, Korea.

出版信息

J Korean Med Sci. 2010 Jan;25(1):67-74. doi: 10.3346/jkms.2010.25.1.67. Epub 2009 Dec 26.

Abstract

The purpose of this prospective study was to verify and compare the strengths of various blood markers and fibrosis models in predicting significant liver fibrosis. One hundred fifty-eight patients with chronic liver disease who underwent liver biopsy were enrolled. The mean age was 41 yr and male patients accounted for 70.2%. The common causes of liver disease were hepatitis B (67.7%) and C (16.5%) and fatty liver (9.5%). Stages of liver fibrosis (F0-4) were assessed according to the Batts and Ludwig scoring system. Significant fibrosis was defined as > or =F2. Sixteen blood markers were measured along with liver biopsy, and estimates of hepatic fibrosis were calculated using various predictive models. Predictive accuracy was evaluated with a receiver-operating characteristics (ROC) curve. Liver biopsy revealed significant fibrosis in 106 cases (67.1%). On multivariate analysis, alpha2-macroglobulin, hyaluronic acid, and haptoglobin were found to be independently related to significant hepatic fibrosis. A new predictive model was constructed based on these variables, and its area under the ROC curve was 0.91 (95% confidence interval, 0.85-0.96). In conclusion, alpha2-macroglobulin, hyaluronic acid, and haptoglobin levels are independent predictors for significant hepatic fibrosis in chronic liver disease.

摘要

本前瞻性研究旨在验证和比较各种血液标志物和纤维化模型在预测显著肝纤维化方面的优势。我们纳入了 158 例接受肝活检的慢性肝病患者。患者平均年龄为 41 岁,男性占 70.2%。常见的肝病病因包括乙型肝炎(67.7%)、丙型肝炎(16.5%)和脂肪肝(9.5%)。根据 Batts 和 Ludwig 评分系统评估肝纤维化分期(F0-4)。将≥F2 定义为显著纤维化。我们在肝活检的同时检测了 16 种血液标志物,并使用各种预测模型计算肝纤维化的估计值。通过接收者操作特征(ROC)曲线评估预测准确性。106 例(67.1%)患者的肝活检显示显著纤维化。多变量分析发现,α2-巨球蛋白、透明质酸和触珠蛋白与显著肝纤维化独立相关。我们基于这些变量构建了一个新的预测模型,其 ROC 曲线下面积为 0.91(95%置信区间,0.85-0.96)。综上所述,α2-巨球蛋白、透明质酸和触珠蛋白水平是慢性肝病患者显著肝纤维化的独立预测因子。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/72cb/2800033/5c6b7c8c2f21/jkms-25-67-g001.jpg

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