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细胞外基质因子检测对肝纤维化早期诊断的预测价值
引用本文:孔令斌,司怀令,孔庆胜,赵庆贤,王庆安.细胞外基质因子检测对肝纤维化早期诊断的预测价值[J].中国临床医学,2003,10(5):626-628.
作者姓名:孔令斌  司怀令  孔庆胜  赵庆贤  王庆安
作者单位:1. 济宁医学院内科教研室,济宁,272013
2. 山东省济宁市嘉祥金屯医院,济宁,272000
3. 山东省邹城市卫生局,邹城,273500
4. 山东省曲阜市第二人民医院,曲阜,272020
基金项目:山东省卫生厅资助课题 (项目编号 1999CA1CEB2 )
摘    要:目的 :通过对多种细胞外基质因子的检测 ,创建出一套无创、简便易行的诊断肝纤维化的方法。方法 :以肝活检为肝纤维化诊断的金标准 ,同时检测肝纤维化和正常对照者血清中的透明质酸、层黏连蛋白、纤黏连蛋白、血清IV型胶原、血清III型前胶原氨基端肽和血清脯氨酸肽酶 ,并采用多元Logistic回归分析建立诊断方程。结果 :肝硬化组和慢性乙型肝炎 (重度 )以上各指标均无显著差别 ,慢性乙型肝炎 (重度 ) >慢性乙型肝炎 (中度、轻度 ) >正常对照。透明质酸、层黏连蛋白、血清IV型胶原、血清III型前胶原氨基端肽和血清脯氨酸肽酶各因素均进入回归方程。以回归方程预测的肝纤维化T值大于 0 .95者做判断肝纤维化的标准 ,结果该法诊断的灵敏度和特异度分别为 86 .7%和 80 .0 % ,符合率为 85 %。结论 :肝细胞基质透明质酸、层黏连蛋白、纤黏连蛋白、血清IV型胶原、血清III型前胶原氨基端肽和血清脯氨酸肽酶是诊断肝纤维化的敏感指标 ,联合检测可以对肝纤维化进行定量预测诊断

关 键 词:细胞外基质因子  检测  肝纤维化  早期诊断  预测  Logistic回归分析

The Study of the Combination Detection of Some Extra Cellular Matrixes in the Diagnosis of Liver Fibrosis
Kong Lingbin,Si Huailing,Kong Qingsheng,et al..The Study of the Combination Detection of Some Extra Cellular Matrixes in the Diagnosis of Liver Fibrosis[J].Chinese Journal Of Clinical Medicine,2003,10(5):626-628.
Authors:Kong Lingbin  Si Huailing  Kong Qingsheng  
Abstract:Objective: To build formula of model in the diagnosis of liver fibrosis by combination detection of some extra cellular matrixes. Methods: Liver biopsy and pathology were used as golden standard of liver fibrosis diagnosis. Serum fibrosis markers of liver fibrosis group and normal control group were detected. Logistic regression analysis, was used to build diagnostic equation. Results: There was no difference between liver cirrhosis and severe chronic hepatitis B ( P <0.05),but there was a significant difference among severe and moderate chronic hepatitis B and normal control. The regression equation of some parameters was established, the sensitivity and specificity of regression evaluaity diagnosis liver fibrosis were 86.7% and 80.0% respectively. Conclusion: The combination of noninvasive parameters is more valuable than single parameter in the diagnosis of liver fibrosis, and building regression evaluation by detecting extra cellular matrixes may predict liver fibrosis.
Keywords:Extracellular matrix  Liver fibrosis Diagnosis Logistic regression analysis
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