血脂，脂蛋白等冠心病危险因素的多元判别分析研究

MULTIVARIBLES-DISCRIMINATIONSTUDYOFCHDRISKFACTORSINCLUDINGSERUMLIPIDSANDLIPOPROTEINS

研究包括血脂、脂蛋白在内的多项冠心病的综合判别作用，以多元判别分析方法分析了５０例冠心病患者，２７例其它心血管疾病患者及２２例正常人的血清甘油三酯、总胆固醇、低密度脂蛋白胆固醇、高密度脂蛋白胆固醇、脂蛋白（ａ）等１１项冠心病危险因素，建立了冠心病危险因素的实验室多元判别分析微机模型。该模型回代判别结果显示：对冠心病判别的灵敏度为７０．００％，特异性为８９．８０％，总判别准确度为６３．６４％。作者认为采用多元分析方法分析实验数据，结合临床资料对冠心病作出预测的方法是可行的。

ThisPaperreportsthecomprehensivediscriminationstudyofmulti-fac-torsforCHD,includingserumLipidsandLipoproteins.usingmulti,varibles-discriminationanalysisSerumTG,TC,LDL-c,HDL-c,Lp(a)andother6relateditemsof50casesofCHDpatients,27casesofothercardiovascularpatientsand22normalSubjectsweremea-suredandcomputermodelofmultvaribles-discriminationanalysisforCHDrisk.factorswereestablished.Theresultsofback-Substitutinsprocesedbythemodelshowedthatthesensitivity,specificityandtotalaccuracyforCHDdiagnosiswere70.00%,89.80%,and63.64%respectively,ItisthoughtthattheLaboratorydataprocessedbymultivaribles-dis-criminationanalysisincombinationwithclinicalinformationsispossibleformakingCHDpredition.