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Evaluation of elastography combined with serological indexes for hepatic fibrosis in patients with chronic hepatitis B

机译:弹性成像结合血清学指标评价慢性乙型肝炎肝纤维化

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AIM To investigate the value of ultrasound elastography combined with serological indexes in diagnosing liver fibrosis and assessing its severity. METHODS A total of 338 chronic hepatitis B (CHB) patients were divided into a disease group (patients with hepatic fibrosis) and control group (subjects without hepatic fibrosis). The disease group was further divided into S1-S4 according to the degree of fibrosis. Independent risk factors for hepatic fibrosis were analyzed using multivariate logistic regression. The diagnostic values of hepatic fibrosis from different indicators were compared using receiver operating characteristic (ROC) curves. The combination of elastography and serological indexes was explored to assess the severity of hepatic fibrosis. RESULTS The multivariate logistic regression analysis results revealed that shear wave velocity (SWV), hyaluronic acid (HA), type IV collagen (CIV) and aspartate aminotransferase-to-platelet ratio index (APRI) significantly affected the occurrence of hepatic fibrosis. The ROC curve revealed that the accuracy of the diagnosis of hepatic fibrosis for SWV and HA were 87.3% and 84.8%, respectively. The accuracy of SWV combined with HA was 88.9%. The multiple linear regression analysis revealed that SWV, aspartate aminotransferase (AST)/alanine aminotransferase (ALT), HA, CIV, APRI and fibrosis index based on the 4 factor (FIB-4) were screened as statistically significant independent factors. The established regression equation was: Fibrosis level = -4.046 + 1.024 × SWV + 1.170 × AST/ALT + 0.011 × HA + 0.020 × CIV + 0.719 × APRI + 0.379 × FIB-4. CONCLUSION SWV combined with serological indexes can improve the accuracy of diagnosis for CHB hepatic fibrosis. Serum indexes can help diagnose the degree of hepatic fibrosis.
机译:目的探讨超声弹性成像结合血清学指标在肝纤维化诊断及严重程度评估中的价值。方法将338例慢性乙型肝炎(CHB)患者分为疾病组(肝纤维化患者)和对照组(无肝纤维化患者)。根据纤维化程度,疾病组进一步分为S1-S4。使用多元逻辑回归分析肝纤维化的独立危险因素。使用接收器工作特征(ROC)曲线比较了来自不同指标的肝纤维化的诊断价值。探索弹性成像和血清学指标的结合以评估肝纤维化的严重程度。结果多元logistic回归分析结果表明,剪切波速度(SWV),透明质酸(HA),IV型胶原蛋白(CIV)和天冬氨酸转氨酶与血小板比率指数(APRI)显着影响了肝纤维化的发生。 ROC曲线显示,SWV和HA诊断肝纤维化的准确性分别为87.3%和84.8%。 SWV结合HA的准确性为88.9%。多元线性回归分析显示,将SWV,天冬氨酸转氨酶(AST)/丙氨酸转氨酶(ALT),HA,CIV,APRI和基于4因子(FIB-4)的纤维化指数筛选为具有统计学意义的独立因素。建立的回归方程为:纤维化水平= -4.046 + 1.024×SWV + 1.170×AST / ALT + 0.011×HA + 0.020×CIV + 0.719×APRI + 0.379×FIB-4。结论SWV结合血清学指标可提高CHB肝纤维化的诊断准确性。血清指标可以帮助诊断肝纤维化程度。

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