Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea.
J Gastroenterol Hepatol. 2011 Jun;26(6):987-95. doi: 10.1111/j.1440-1746.2010.06609.x.
Transient elastography (TE) is useful for predicting the fibrosis stage, but it is unsatisfactory as a substitute for liver biopsy, especially in patients with chronic hepatitis B (CHB). This study was performed to establish a reliable model for predicting significant fibrosis (SF) in patients with CHB.
All CHB patients who were admitted to undergo liver biopsy were enrolled. They were randomly classified into either a training set (n = 139) or a validation set (n = 69). A model for predicting SF was established in the training set and validated in the validation set. Low and high cutoff values (COVs) were chosen for sensitivity ≥ 99% and specificity ≥ 99%, respectively.
A total of 208 patients were enrolled. Age was 39 ± 12 years and 149 (71.6%) were men. In the training set, liver stiffness values and serum haptoglobin, apolipoprotein A1, and α2-macroglobulin levels were independent predictors of SF on multivariate analysis. These variables were used to construct a novel model, called the HALF index. The area under the receiver operating characteristics curve of the HALF index for predicting SF was significantly higher than that of TE alone (0.915 vs 0.877, P = 0.010). Using low and high COVs of the HALF index, it appears that approximately half (47.1%) of patients could avoid liver biopsy, with an associated accuracy of 99.0%.
A combination of liver stiffness and serum markers identified SF with a high degree of accuracy. Approximately half of all patients with CHB could avoid liver biopsy through the utilization of the HALF index.
瞬时弹性成像(TE)可用于预测纤维化分期,但作为肝活检的替代方法并不令人满意,尤其是在慢性乙型肝炎(CHB)患者中。本研究旨在建立一种可靠的模型,用于预测 CHB 患者的显著纤维化(SF)。
所有接受肝活检的 CHB 患者均被纳入研究。他们被随机分为训练集(n=139)和验证集(n=69)。在训练集中建立预测 SF 的模型,并在验证集中进行验证。选择低和高截断值(COV),以获得灵敏度≥99%和特异性≥99%。
共纳入 208 例患者。年龄为 39±12 岁,149 例(71.6%)为男性。在训练集中,多变量分析显示肝硬度值和血清结合珠蛋白、载脂蛋白 A1 和α2-巨球蛋白水平是 SF 的独立预测因素。这些变量被用于构建一种新的模型,称为 HALF 指数。HALF 指数预测 SF 的受试者工作特征曲线下面积明显高于 TE 单独预测的曲线下面积(0.915 比 0.877,P=0.010)。使用 HALF 指数的低和高 COV,大约一半(47.1%)的患者可以避免肝活检,其准确性为 99.0%。
肝硬度和血清标志物的组合可以高度准确地识别 SF。大约一半的 CHB 患者可以通过使用 HALF 指数来避免肝活检。