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尿沉渣检测分析仪联合血细胞分析仪在鉴别血尿来源中的应用
引用本文:李明,江志红,刘跃平,王超,常玉,徐静,颜进明.尿沉渣检测分析仪联合血细胞分析仪在鉴别血尿来源中的应用[J].检验医学与临床,2010,7(9):823-824.
作者姓名:李明  江志红  刘跃平  王超  常玉  徐静  颜进明
作者单位:解放军四七七医院检验科,湖北襄樊,441003
摘    要:目的探讨尿沉渣检测分析仪和血细胞分析仪联合检测在鉴定肾小球性血尿和非肾小球性血尿中的应用价值。方法利用US-2020尿沉渣检测分析仪和血细胞分析仪对81例不同来源血尿标本进行检测。结果 42例肾小球性血尿中红细胞畸形率为(81.70±9.29)%,39例非肾小球性血尿中红细胞畸形率为(19.0±12.0)%,利用红细胞形态鉴别血尿来源敏感性71.4%,特异性94.8%,诊断符合率82.7%,血细胞分析仪测定肾源性和非肾性血尿中红细胞平均体积和红细胞体积分布宽度分别为(64.00±7.98)fL,(24.90±3.98)%和(89.00±11.89)fL,(14.90±2.45)%,二者差异有统计学意义(P0.05)。结论利用尿沉渣检测分析仪对尿中有形成分的测定和红细胞形态观察,利用血细胞分析仪测定尿红细胞相关参数等对血尿的诊断均有指导意义,二者联合应用提高了诊断符合率,可更加客观准确的鉴别血尿来源,为基层医院提供了很好的鉴别诊断策略。

关 键 词:尿沉渣检测分析仪  血细胞分析仪  血尿  尿红细胞形态  红细胞平均体积  红细胞体积  分布宽度  鉴别

Clinical application in the identification of hematuria by combination of hematology analyzers and US-2020 urinary sediment analyzers
LI Ming,JIANG Zhi-hong,LIU Yue-ping,WANG Chao,CHANG Yu. XUJing,YAN Jin-ming.Clinical application in the identification of hematuria by combination of hematology analyzers and US-2020 urinary sediment analyzers[J].Laboratory Medicine and Clinic,2010,7(9):823-824.
Authors:LI Ming  JIANG Zhi-hong  LIU Yue-ping  WANG Chao  CHANG Yu XUJing  YAN Jin-ming
Institution:.( The 477th Hospital of PLA ,Xiangfan 441003,Hubei,China)
Abstract:Objective To explore the values of combined detection for distinguishing the glomerular hematuria from the nonglomerular hematuria by hematology analyzers and US-2020 urinary .sediment analyzers. Methods 81 Urine samples were measured by hematology analyzers and US-2020 Urinary sediment analyzers. Results In 42 pa tients with glomerular hematuria,the percentage of deformed red cells was (81.7±9.29)%. In 39 patients with non- glomerular hematuria,the percentage of deformed red cells was (19.0±12.0) %. When identification of hematuria by red cell morphology,the sensitivity was 71.4% ,the specificity was 94.8% and the accuracy was 82.7%. The average MCV and RDW of the red cells were (64.00±7.98) fL, (24.90±3.98)% and (89.0±11.89)fL, (14.90±2.45) respectively,with the difference being of statistical significance(P〈0.05). Conclusion The combined use of hema tology analyzers and US-2020 urinary sediment analyzers could improve the diagnose and make it more objective and accurate,which is the best strategy for local hospitals.
Keywords:urinary sediment analysator  hematology analyzer  hematuria  urinary red cell morphology  MCV  RDW  identification
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