慢性肝病患者剪切波弹性模量值的多因素回归分析

发布时间：2018-11-07 11:49

【摘要】：目的分析慢性肝病患者肝实时二维剪切波弹性成像(SWE)模量值的相关因素及其独立预测因子。方法收集慢性肝病患者142例,对所有病例均行SWE、肝穿刺活检及病理检查,获得肝炎症活动度G分级,肝纤维化S分期。同时记录临床及实验室相关指标,变量包括性别、年龄、体质量指数(BMI)、谷草转氨酶(AST)、谷丙转氨酶(ALT)、总胆红素(TB)、白蛋白(ALB)、谷氨酰转肽酶(GGT)、碱性磷酸酶(ALP)、血小板计数(PLT),凝血酶原时间(PT)、凝血酶原活动度(PT%)。分别与SWE肝弹性模量值作Spearman两两相关分析,筛选出具有统计学意义的变量进行多重线性回归分析,得出回归方程进行方差分析,评估方程的独立预测因子。结果肝炎症活动度G分级(G)、肝纤维化S分期、年龄(age)、AST、ALT、TB、ALB、GGT、ALP、PLT、PT、PT%,与SWE弹性模量值具有相关性(P均0.01)。拟合的回归模型:SWE=32.71+2.52G+0.18age-0.43ALB+0.01GGT-0.15PT%,方程调整R2=0.49(P0.01)。结论肝炎症活动度G分级和肝纤维化S分期与SWE模量值具有较高的相关性;肝炎症活动度G分级是其最主要的独立预测因子。
[Abstract]:Objective to analyze the correlation factors and independent predictors of (SWE) modulus in liver real-time two-dimensional shear wave elastography in patients with chronic liver disease. Methods SWE, biopsy and pathological examination were performed in 142 patients with chronic liver disease. G grade of liver inflammation and S stage of hepatic fibrosis were obtained. Clinical and laboratory related indexes were also recorded, including sex, age, body mass index (BMI), (AST), alanine transaminase (ALT), total bilirubin, (TB), albumin, (ALB), glutamyl transpeptidase (GGT),). Alkaline phosphatase (ALP), platelet count (PLT), prothrombin time (PT), prothrombin activity (PT%). The SWE liver elastic modulus was analyzed by Spearman pairwise correlation analysis, and the variables with statistical significance were selected for multiple linear regression analysis. The regression equation was obtained for variance analysis, and the independent predictor of the equation was evaluated. Results there was a correlation between (G), stage S stage of hepatic fibrosis, age (age), AST,ALT,TB,ALB,GGT,ALP,PLT,PT,PT%, and SWE elastic modulus (P0. 01). The fitting regression model was: SWE=32.71 2.52G 0.18age-0.43ALB 0.01GGT-0.15PT.The equation adjusted R2GT-0.49 (P0.01). Conclusion there is a high correlation between G grade of hepatic inflammatory activity and S stage of hepatic fibrosis and SWE modulus, and G grade of hepatic inflammation is the most important independent predictor.
【作者单位】：中山大学附属第三医院超声科;
【分类号】：R575;R445.1

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