冠状动脉疾病

Herz冠状动脉疾病严重性预测中MESA


ComparisonofMESAofandFraminghamriskscoresinthepredictionofcoronaryarterydiseaseseverityVergleichderMESA-undFramingham-RisikoscoreszurPr?diktiondesSchweregradseinerkoronarenHerzkrankheitHerzOriginalarticlesEarlyRecent,July25,./s---z本文由“天纳”临床学术信息人工智能系统自动翻译点击文末“阅读原文”下载本文PDFBackgroundThecorrelationbetweencardiovascularriskscoringsystemsandtheseverityofcoronaryarterydiseases(CAD)isnotclear.ThepresentresearchaimedtoevaluatetheMulti-EthnicStudyofAtherosclerosis(MESA)riskscoreandFraminghamriskscore(FRS),usingtheGensiniscore(GS)systemasreference,soastodeterminewhichmodelisbetterforthepredictionofCADseverity.心血管风险评分系统与冠状动脉疾病严重程度之间的相关性尚不清楚。本研究旨在评估动脉粥样硬化(MESA)风险评分和弗雷明翰风险评分(FRS)的多民族研究,以Gensini评分(GS)系统为参考,以确定哪种模型更适合预测冠心病严重程度。MethodsThisresearchwasa?single-centerandcross-sectionalobservationalstudy.Intotal,patientswereincludedinourstudy.ThreedifferentgroupswereformedaccordingtoGS:0??GS?≤?22(lowGSgroup,n?=?);22??GS?≤?42(intermediateGSgroup,n?=?);GS??42(highGSgroup,n?=?).LogisticandlinearregressionanalyseswerecarriedouttoexploretherelationshipbetweentheriskscoremodelsandtheGS.Theperformanceoftheriskmodelswasdeterminedbyreceiveroperatingcharacteristiccurve(ROC)analysis.这项研究是一项单中心和横断面观察研究。本研究共纳入例患者。根据GS形成三个不同的组:(高GS组,n=)。采用logistic和线性回归分析,探讨了风险评分模型与GS的关系。通过受试者操作特征曲线(ROC)分析,确定风险模型的性能。ResultsTheMESAriskscoreandtheFRSbothhada?statisticallysignificantpowerforthepredictionofCADseverity(MESAareaundercurve:0.;FRSareaundercurve:0.).Furthermore,theMESAhada?betterperformanceinpredictingtheseverity(p??0.05)ofCAD







































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