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探讨血清胱抑素C(Cys-C)、肌酐(SCr)和脑钠钛(BNP)预测慢性肾脏病(CDK)维持性血液透析(MHD)患者心血管事件的价值.[方法]本院行MHD治疗的CDK患者153例,随访24个月,根据末次随访时有无心血管事件发生分为心血管事件组(A组,n=51)和无心血管事件组(B组,n=102).收集患者基本情况及血尿素氮(BUN)、血全段甲状旁腺激素(iPTH)、Cys-C、SCr、BNP等资料.采用回归分析发生心血管事件的独立危险因素.以受试者工作曲线(ROC)分析Cys-C、SCr、BNP预测心血管事件的价值.[结果]A组患者的年龄、透析龄、血钙、血iPTH、血尿酸、血BUN、Cys-C、SCr、BNP均明显高于B组(P<0.05).Cys-C、SCr和BNP与透析龄、血钙、血iPTH、血尿酸、血BUN均呈正相关(P<0.05).Logistic逐步回归分析显示:血iPTH、血尿酸、Cys-C、SCr、BNP是 MHD患者发生心血管事件的独立危险因素(P<0.05).Cys-C、SCr和BNP预测心血管事件发生的曲线下面积分别为0.705、0.614和0.739;灵敏度分别为79.2%、71.4%和84.3%;特异度分别为73.5%、67.3%和86.5%.[结论]Cys-C、SCr和BNP是 MHD患者发生心血管事件的独立危险因素,能够有效预测心血管事件的发生.“,”ToinvestigatethevalueofserumcystatinC (Cys-C),serumcreatinine(Scr)andbrainnatri-ureticpeptide(BNP)inpredictingcardiovasculareventsinchronickidneydisease(CDK)patientstreatedwith mainte-nancehemodialysis(MHD).[Methods]Atotalof153CDKpatientswhoweretreatedwithMHDinourhospitalwerefol-lowedupfor24months.Accordingtothecardiovasculareventsatthelastfollow-up,patientsweredividedintothecardi-ovasculareventgroup(groupA,n=51)andthenon-cardiovasculareventgroup (groupB,n=102).Patients'clinical data,bloodureanitrogen(BUN),parathyroidhormone(iPTH),serumCys-C,ScrandBNPwerecollected.Regression analysiswasperformedtoidentifyindependentriskfactorsforcardiovascularevents.Receiveroperatingcurve(ROC)was usedtoanalyzethevalueofCys-C,ScrandBNPinpredictingcardiovascularevents.[Results]Patients'age,dialysistime period,serumcalcium (Ca),iPTH,uricacid,BUN,Cys-C,ScrandBNPingroupA weresignificantlyhigherthan thoseingroupB (P<0.05).Cys-C,ScrandBNP werepositivelycorrelated withdialysistimeperiod,serum Ca, iPTH,uricacidandBUN (P<0.05).MultivariatelogisticstepwiseregressionanalysisshowedthatiPTH,uricacid, Cys-C,ScrandBNPwereindependentriskfactorsforcardiovasculareventsinMHDpatients(P<0.05).Theareasun-derROCcurveofCys-C,ScrandBNPinpredictingcardiovasculareventswere0.705,0.614and0.739,respectively.The sensitivitywas79.2%forCyc-C,71.4%forScrand84.3%forBNP;Andthespecificitywas73.5%,67.3%and86.5%, respectively.[Conclusion]Cys-C,ScrandBNPareindependentriskfactorsforcardiovasculareventsinCDKpatientswith MHDandcanpredicttheoccurrenceofcardiovascularevents.