摘要: |
目的:探讨影响FibroTouch检测肝脏硬度(LSM值)评价慢性乙型肝炎肝纤维化程度的相关因素。方法:收集2015年1月至11月就诊经肝组织穿刺活检确诊的慢性乙型肝炎病毒感染者144例,应用FibroTouch技术检测肝脏LSM值,同时收集患者一般临床信息及常规血液检测指标。将筛选出的自变量进行多元线性回归分析,建立回归方程,并对回归模型进行评估。结果:经多元线性回归筛选出6个独立预测因子,分别为:脾脏肋间厚度(脾厚),体质指数(BMI),血清白蛋白(ALB)、总胆红素(TBiL)、凝血酶原时间(PT)、IV型胶原(CIV),以此建立回归方程。该回归模型决定系数R方=0.648,调整R方=0.609,具有良好的拟合度。结论:在进行FibroTouch 检测LSM时,脾厚、CIV、ALB、TBiL 、PT和BMI值,可能会对检测结果产生影响,对于影响因素的探讨仍有待进一步的大样本多中心研究。 |
关键词: 肝炎,乙型,慢性 肝纤维化 FibroTouch 回归方程 |
DOI: |
投稿时间:2016-10-11修订日期:2016-12-10 |
基金项目:浙江省自然科学基金资助项目(编号:LY13H180015)作者单位:310023 杭州市西溪医院超声科 |
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Analysis of the influence factors of chronic hepatitis B liver fibrosis by FibroTouch |
huang bin |
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Abstract: |
Objective: To explore the related factors affecting FibroTouch detection of liver stiffness (LSM value) to evaluate the degree of liver fibrosis in patients with chronic hepatitis B.Methods: Collected 144 cases of chronic Hepatitis B patients in January 2015 to November, All patients were confirmed by liver biopsy. Detection of liver stiffness (LSM) by FibroTouch technique, At the same time, collect the general clinical information and blood test index of the patients. Multivariate linear regression analysis was performed to establish the regression equation, in the end, evaluated the regression model .
Results: The 6 independent predictors were selected by multiple linear regression: Spleen intercostals thickness, Body mass index(BMI), Serum albumin (ALB), Total bilirubin (TBiL), prothrombin time(PT),Type IV collagen (CIV), In order to establish the regression equation. The regression model determine the coefficient R party =0.648, adjust the R party =0.609, it have a good fitting degree.
Conclusion: When FibroScan was performed to detect LSM, spleen thickness, CIV, ALB, TBiL ,PTand BMI values may have an effect on the detection results. The influence factors of the remains to be further large multicenter study. |
Key words: Hepatitis, hepatitis b, chronic Liver fibrosis FibroTouch ?regression equation |