采用基于红细胞形态学参数的Fisher判别法鉴别血尿来源
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  • 英文篇名:Identification of hematuria by Fisher discriminant method based on erythrocyte morphological parameters
  • 作者:李海燕 ; 周少雄 ; 黄杰 ; 张普
  • 英文作者:LI Haiyan;ZHOU Shaoxiong;HUANG Jie;ZHANG Pu;Affiliated Foshan Hospital of Southern Medical University;
  • 关键词:Fisher判别模型 ; 血尿 ; 红细胞畸形率 ; 红细胞平均体积 ; 红细胞分布宽度
  • 英文关键词:Fisher discriminant model;;hematuria;;erythrocyte deformity rate;;mean corpuscular volume;;red cell distribution width
  • 中文刊名:GWSQ
  • 英文刊名:International Journal of Laboratory Medicine
  • 机构:南方医科大学附属佛山医院;
  • 出版日期:2018-10-29
  • 出版单位:国际检验医学杂志
  • 年:2018
  • 期:v.39
  • 语种:中文;
  • 页:GWSQ201820022
  • 页数:3
  • CN:20
  • ISSN:50-1176/R
  • 分类号:84-86
摘要
目的探讨红细胞形态学参数对血尿来源的鉴别价值。方法选取2016年7月至2017年3月该院肾病风湿内科和肾病风湿科门诊拟诊为肾脏疾病的患者102例,根据病理"金标准"将疑似患者确诊,并分为肾源性血尿33例(肾病组)和非肾源性血尿69例(非肾病组)。所有研究对象均检测尿液红细胞畸形率、尿液红细胞数量、尿液红细胞平均体积(u-MCV)和尿液红细胞体积分布宽度(u-RDW)。从中选取有统计学差异的指标,建立相应的Fisher判别模型。结果肾病组与非肾病组的尿液红细胞畸形率、u-MCV和u-RDW比较,差异有统计学意义(P<0.05)。建立了Fisher判别模型,通过回代性检验得到该组模型鉴别诊断的灵敏度为88.3%,特异度为83.8%,准确率为86.4%。结论联合多个尿液红细胞形态学参数建立Fisher判别模型能提高鉴别肾源性血尿和非肾源性血尿的准确率,具有一定的实用价值。
        Objective To investigate the differential diagnostic value of erythrocyte morphological parameters for hematuria.Methods Totally 102 patients with suspected kidney diseases from July 2016 to March2017 in the hospital were selected and divided into two groups,33 cases of nephrogenic hematuria(nephropathy group)and 69 cases of non-nephrogenic hematuria(non-nephropathy group).The rate of urinary erythrocyte deformity,the number of urinary erythrocytes,the mean volume of urinary erythrocytes(u-MCV)and the distribution width of urinary erythrocyte volume(u-RDW)were measured in all subjects.The indexes of statistical difference were selected,and the corresponding Fisher discriminant model was established.ResultsThe differences of urine erythrocyte deformity rate,u-MCV and u-RDW between nephrotic group and non-nephrotic group were statistically significant(P<0.05).Fisher discriminant model was established.The regression test showed that the sensitivity,specificity and accuracy of the model were 88.3%,83.8%and 86.4%,respectively.Conclusion Establishing Fisher discriminant model combined with several morphological parameters of urine erythrocyte can improve the accuracy of distinguishing renal hematuria from non-renal hematuria,and has certain practical value.
引文
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