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Noninvasive markers of fibrosis in nonalcoholic fatty liver disease: validating the European liver fibrosis panel and exploring simple markers

机译:非酒精性脂肪性肝病中纤维化的无创标志物:验证欧洲肝纤维化小组并探索简单标志物

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摘要

The detection of fibrosis within nonalcoholic fatty liver disease (NAFLD) is important for ascertaining prognosis and the stratification of patients for emerging therapeutic intervention. We validated the Original European Liver Fibrosis panel (OELF) and a simplified algorithm not containing age, the Enhanced Liver fibrosis panel (ELF), in an independent cohort of patients with NAFLD. Furthermore, we explored whether the addition of simple markers to the existing panel test could improve diagnostic performance. One hundred ninety-six consecutively recruited patients from 2 centers were included in the validation study. The diagnostic accuracy of the discriminant scores of the ELF panel, simple markers, and a combined panel were compared using receiver operator curves, predictive values, and a clinical utility model. The ELF panel had an area under the curve (AUC) of 0.90 for distinguishing severe fibrosis, 0.82 for moderate fibrosis, and 0.76 for no fibrosis. Simplification of the algorithm by removing age did not alter diagnostic performance. Addition of simple markers to the panel improved diagnostic performance with AUCs of 0.98, 0.93, and 0.84 for the detection of severe fibrosis, moderate fibrosis, and no fibrosis, respectively. The clinical utility model showed that 82% and 88% of liver biopsies could be potentially avoided for the diagnosis of severe fibrosis using ELF and the combined panel, respectively. The ELF panel has good diagnostic accuracy in an independent validation cohort of patients with NAFLD. The addition of established simple markers augments the diagnostic performance across different stages of fibrosis, which will potentially allow superior stratification of patients with NAFLD for emerging therapeutic strategies.
机译:非酒精性脂肪肝疾病(NAFLD)内纤维化的检测对于确定预后和对患者进行分层以进行新的治疗干预非常重要。我们在一个独立的NAFLD患者队列中验证了原始的欧洲肝纤维化专家组(OELF)和不包含年龄的简化算法,即增强肝纤维化专家组(ELF)。此外,我们探讨了在现有的面板测试中添加简单标记物是否可以改善诊断性能。验证研究包括来自2个中心的196名连续招募的患者。使用接收者操作员曲线,预测值和临床实用新型,比较了ELF面板,简单标记和组合面板的判别得分的诊断准确性。 ELF面板的曲线下面积(AUC)为0.90(用于区分严重纤维化),0.82(中度纤维化)和0.76(无纤维化)。通过消除年龄来简化算法不会改变诊断性能。在面板上添加简单的标记可改善诊断性能,AUC分别为0.98、0.93和0.84,分别用于检测严重纤维化,中度纤维化和无纤维化。临床实用新型表明,使用ELF和联合面板可分别避免82%和88%的肝活检诊断严重纤维化。 ELF小组在NAFLD患者的独立验证队列中具有良好的诊断准确性。添加已建立的简单标记物可增强纤维化不同阶段的诊断性能,这将有可能为新出现的治疗策略对NAFLD患者进行更好的分层。

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