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Combination of Transient Elastography and an Enhanced Liver Fibrosis Test to Assess the Degree of Liver Fibrosis in Patients with Chronic Hepatitis B

机译:瞬时弹性成像和增强型肝纤维化试验相结合以评估慢性乙型肝炎患者的肝纤维化程度

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Background/Aims Liver stiffness (LS) was assessed using transient elastography, and the enhanced liver fibrosis (ELF) test was performed to accurately assess fibrotic burden. We validated the LS-ELF algorithm and investigated whether the sequential LS-ELF algorithm performs better than concurrent combination of these analyses in chronic hepatitis B (CHB) patients. Methods Between 2009 and 2013, 222 CHB patients who underwent liver biopsy (LB), as well as LS measurement and the ELF test, were enrolled. Results Advanced fibrosis (≥F3) and cirrhosis (F4) were identified in 141 (63.6%) and 118 (53.2%) patients, respectively. Areas under receiver operating characteristic curve for LS predictions of ≥F3 (0.887 vs 0.703) and F4 (0.853 vs 0.706) were significantly higher than the ELF test (all p<0.001). Based on the LS-ELF algorithm, 60.4% to 71.6% and 55.7% to 66.3% of patients could have avoided LB to exclude ≥F3 and F4, respectively, whereas 68.0% to 78.7% and 63.5% to 66.1% of patients could have avoided LB to confirm ≥F3 and F4, respectively. When confirmation and exclusion strategies were applied simultaneously, 69.4% to 72.5% and 60.8% to 65.3% of patients could have avoided LB and been diagnosed as ≥F3 and F4, respectively. The proportion of patients who correctly avoided LB for the prediction of ≥F3 (69.4% to 72.5% vs 42.3% to 59.0%) and F4 (60.8% to 65.3% vs 23.9% to 49.5%) based on the sequential LS-ELF algorithm was significantly higher than the concurrent combination (all p<0.05). Conclusions The sequential LS-ELF algorithm conferred a greater probability of avoiding LB in CHB patients to diagnose advanced fibrosis and cirrhosis, and this test performed significantly better than the concurrent combination.
机译:背景/目的使用瞬时弹性成像技术评估肝硬度(LS),并进行增强肝纤维化(ELF)测试以准确评估纤维化负担。我们验证了LS-ELF算法,并研究了顺序LS-ELF算法在慢性乙型肝炎(CHB)患者中是否比同时进行这些分析更好。方法2009年至2013年,共纳入222例行肝活检(LB)并进行LS测量和ELF测试的CHB患者。结果分别在141例(63.6%)和118例(53.2%)患者中发现了晚期纤维化(≥F3)和肝硬化(F4)。 LS≥F3(0.887对0.703)和F4(0.853对0.706)的LS预测的接收器工作特性曲线下的面积显着高于ELF测试(所有p <0.001)。根据LS-ELF算法,分别有60.4%至71.6%和55.7%至66.3%的患者可以避免LB排除≥F3和F4,而有68.0%至78.7%和63.5%至66.1%的患者可以避免避免LB分别确认≥F3和F4。当同时应用确认和排除策略时,有69.4%至72.5%和60.8%至65.3%的患者可以避免LB,并分别被诊断为≥F3和F4。根据顺序LS-ELF算法,正确避免LB以预测≥F3(69.4%至72.5%vs 42.3%至59.0%)和F4(60.8%至65.3%vs 23.9%至49.5%)的患者比例显着高于并发组合(所有p <0.05)。结论序贯LS-ELF算法为CHB患者诊断晚期纤维化和肝硬化提供了更大的避免LB的可能性,并且该测试的效果明显优于并发组合。

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