慢性乙型肝炎患者肝细胞脂肪变性影响因素的分类树模型分析
发布时间：2018-09-04 13:30
【摘要】：目的基于分类树模型对慢性乙型肝炎(CHB)患者发生肝细胞脂肪变性的高危人群和影响因素进行研究,建立一种评估CHB患者发生肝细胞脂肪变性风险的简单方法。方法收集2006年1月-2014年12月在佛山市顺德区第一人民医院感染性疾病科住院,行肝穿刺活组织检查的CHB患者的临床资料和病理结果,利用分类树模型分析肝细胞脂肪变性的影响因素,采用索引值曲线、错分矩阵和估计误差对分类树模型分类效果进行整体评价。结果 CHB患者合并肝细胞脂肪变性的影响因素有BMI、总胆固醇、低密度脂蛋白,其中最重要的影响因素是BMI。该分类树模型的敏感性为84.3%,特异性为81.5%,准确率为82.9%,模型估计误差为0.171,模型拟合效果较好。结论通过分类树模型发现CHB患者发生肝细胞脂肪变性和BMI、总胆固醇、低密度脂蛋白等3个影响因素关系密切,根据这3个指标可以建立一种简单的分类方法来评估CHB患者发生肝细胞脂肪变性的风险,有必要开展进一步临床研究以明确其临床应用价值。
[Abstract]:Objective to study the high risk population and influencing factors of hepatocyte steatosis in patients with chronic hepatitis B (CHB) based on the classification tree model, and to establish a simple method for assessing the risk of hepatocyte steatosis in patients with chronic hepatitis B (CHB). Methods from January 2006 to December 2014, the clinical data and pathological results of CHB patients who were hospitalized in Department of Infectious Diseases, first people's Hospital of Shunde District, Foshan City, and underwent biopsy of liver biopsy were collected. The influencing factors of hepatocyte steatosis were analyzed by using the classification tree model. The classification effect of the classification tree model was evaluated by index curve, error matrix and estimation error. Results the influencing factors of CHB patients with hepatocyte fatty degeneration were BMI, total cholesterol and low density lipoprotein. The most important factor was BMI.. The sensitivity of the model is 84.3, the specificity is 81.5, the accuracy is 82.9, the model estimation error is 0.171, and the model fitting effect is better. Conclusion by using the classification tree model, it was found that there were close relationships among the three influencing factors of hepatocyte steatosis, BMI, total cholesterol and low density lipoprotein in patients with CHB. According to these three indexes, a simple classification method can be established to evaluate the risk of hepatocyte steatosis in patients with CHB. It is necessary to carry out further clinical research to determine its clinical application value.
【作者单位】： 佛山市顺德区第一人民医院感染性疾病科;佛山市顺德区第一人民医院病理科;
【基金】：广东省卫生厅资助项目(A2013695)
【分类号】：R512.62
，
本文编号：2222248
[Abstract]:Objective to study the high risk population and influencing factors of hepatocyte steatosis in patients with chronic hepatitis B (CHB) based on the classification tree model, and to establish a simple method for assessing the risk of hepatocyte steatosis in patients with chronic hepatitis B (CHB). Methods from January 2006 to December 2014, the clinical data and pathological results of CHB patients who were hospitalized in Department of Infectious Diseases, first people's Hospital of Shunde District, Foshan City, and underwent biopsy of liver biopsy were collected. The influencing factors of hepatocyte steatosis were analyzed by using the classification tree model. The classification effect of the classification tree model was evaluated by index curve, error matrix and estimation error. Results the influencing factors of CHB patients with hepatocyte fatty degeneration were BMI, total cholesterol and low density lipoprotein. The most important factor was BMI.. The sensitivity of the model is 84.3, the specificity is 81.5, the accuracy is 82.9, the model estimation error is 0.171, and the model fitting effect is better. Conclusion by using the classification tree model, it was found that there were close relationships among the three influencing factors of hepatocyte steatosis, BMI, total cholesterol and low density lipoprotein in patients with CHB. According to these three indexes, a simple classification method can be established to evaluate the risk of hepatocyte steatosis in patients with CHB. It is necessary to carry out further clinical research to determine its clinical application value.
【作者单位】： 佛山市顺德区第一人民医院感染性疾病科;佛山市顺德区第一人民医院病理科;
【基金】：广东省卫生厅资助项目(A2013695)
【分类号】：R512.62
，
本文编号：2222248
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