Liver Unit, Department of Hepatogastroenterology, La Fe University Hospital, Valencia, Spain.
Liver Transpl. 2009 Dec;15(12):1798-807. doi: 10.1002/lt.21919.
We previously developed a mathematical model, the Hospital Universitario La Fe (HULF) index, as an alternative to protocol liver biopsy (PLB) to estimate significant fibrosis (SF) in patients who underwent liver transplantation (LT) for liver damage caused by chronic HCV infection. In the present study, we sought to validate this noninvasive index. The commonly derived clinical and laboratory data for calculating the HULF index were prospectively collected over 2.7 years from patients undergoing LT and PLB. The sensitivity, specificity, positive and negative predictive values, and diagnostic capacity were evaluated with receiver operating characteristic curve analysis. Biopsy was performed 93 times in 86 LT patients. The prevalence of SF (F3-F4 on the Knodell scoring system) was 32%. The intraobserver and interobserver concordance was high (kappa = 0.94 and kappa = 0.75, respectively) in identifying SF in PLB. For low scores, the HULF index discarded an SF diagnosis with a sensitivity of 90% and a negative predictive value of 89%. The area under the receiver operating characteristic curve was 0.68. The precision of the HULF index did not improve with the incorporation of donor age and body mass index into the multivariate analysis. Applying the index would have prevented 24% of the biopsy procedures performed. In conclusion, the HULF index was prospectively validated with data commonly obtained in standard clinical practice. Because the index distinguishes a subgroup of HCV LT patients with a low probability of having SF, PLB would be avoided in those patients.
我们之前开发了一个数学模型,即 Hospital Universitario La Fe (HULF) 指数,作为协议肝活检 (PLB) 的替代方法,用于估计因慢性 HCV 感染导致肝损伤而接受肝移植 (LT) 的患者的显著纤维化 (SF)。在本研究中,我们试图验证这个非侵入性指数。为了计算 HULF 指数,我们在 2.7 年内从接受 LT 和 PLB 的患者中前瞻性收集了通常用于推导的临床和实验室数据。通过接收者操作特征曲线分析评估了敏感性、特异性、阳性和阴性预测值以及诊断能力。在 86 名 LT 患者中进行了 93 次活检。SF(Knodell 评分系统上的 F3-F4)的患病率为 32%。在 PLB 中识别 SF 时,观察者内和观察者间的一致性很高(kappa = 0.94 和 kappa = 0.75)。对于低评分,HULF 指数的灵敏度为 90%,阴性预测值为 89%,可以排除 SF 诊断。接收者操作特征曲线下的面积为 0.68。将供体年龄和体重指数纳入多变量分析并没有提高 HULF 指数的精度。应用该指数可以避免 24%的活检程序。总之,HULF 指数通过在标准临床实践中通常获得的数据进行了前瞻性验证。因为该指数区分了一组 HCV LT 患者 SF 概率较低的患者,因此可以避免对这些患者进行 PLB。