ELISA与CMIA检测血清中抗-HCV的比较.pdf

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1、·医学检验·2013年11月第20卷第32期ELISA与CMIA检测血清中抗一HCV的比较刘艳明湖南省益阳市南县人民医院，湖南益阳413000【摘要】目的比较酶联免疫吸附试验(ELISA)与化学发光微粒子免疫分析(CMIA)检测血清中丙型肝炎抗体(抗一HCV)的优越性。方法首先选择200份质控品对两种方法检测的准确性及一致性进行分析，然后选择本院门诊及住院患者抗一HCV样本2000例，分别采用ELISA法与CMIA法对患者血清中抗一HCV进行测定、分析，并对比两种方法对抗一HCV的阳性检测率。结果质控品试验结果：CIMA法与ELISA法检测准确率分别为98

2、．5O％与93．00％，两种方法检测的一致率为93．00％；对两种检测方法下反馈结果不一致的样本进行分析，CIMA法检测抗一HCV阳性结果为100．O0％，占总样本数的1．50％，ELISA法检测抗一HCV阳性结果为92．86％．占总样本数的6．50％。2000例抗一HCV样本检测结果：ELISA法阳性检测率为1．00％，CIMA法阳性检测率为2．10％，两种方法抗一HCV阳性检测率比较，差异有统计学意义(P<0-05)。结论CMIA检测抗一I-ICY的准确率、特异性以及灵敏度均明显优于ELISA法，更适合用于丙型肝炎的I临床筛查。【关键词1酶联免疫吸附试

3、验；化学发光微粒子免疫分析；丙型肝炎抗体；准确率[中图分类号】R392．7【文献标识码】A【文章编号】1674—4721(2013)11(b卜O104—02Comparisonofdetectingserumanti-HCVbetweenELISAandCMIALIUYan-mingPeopleSHospitalofNanxianCountyinYiyangCityofHunanProvince，Yiyang413000，China[Abstract]ObjectiveTocomparethesuperiorityofenzyme-linkedimmuno

4、sorbentassay(ELISA)andchemilumines—centmien}particleimmunoassay(CMIA)indetectingserumhepatitisCantibody(anti—HCV)．MethodsFirstly，200COIl-tmllingsampleswereselectedtodetectandanalyzetheaccuracyandconsistencybyusingthetwomethods，andthen2000casesofanti-HCVsamplesoftheoutpatientsandin

5、patientswereselected，andthentheserumanti—HCVwasrespectivelymeasuredandanalyzedbyELISAandCMIA．Thepositivedetectionoftheanti-HC~wascomparedbe—tweenthetwomethods．ResultsQualitycontrolmaterialstestresults：thedetectingaccuracyrateofCIMAandELISAwas98．509'0and93．00％respectively，andthecon

6、cordancerateofthetwomethodswas93．00％．Differentsamplesof~edbackresultsofbothmethodswereanalyzed，theanti—HCVpositiveresultofCIMAdetectionwas100．00％，occupy-ing1．50％ofthetotalnumberofsamples．Theanti—HCVpositiveresultofELISAdetectionwas92．86％，occupying6．50％ofthetotalnumberofsamples．200

7、0casesofanti-HCVsampleresults：thepositiverateofELISAmethodwas1．00％，andthepositiverateofCIMAmethodwas2．10％，andtherewasstatisticallysignificantofthetwomethodsofanti-HCV—positivedetectionrate(P<0．05)．ConclusionCMIAdetectionofanti-HCV，itsaccuracy，specificityandsen—sitivityweresignific

8、antlybetterthanthatofELISAmethod，