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Impact of Family History of Coronary Artery Disease in Young Individuals (from the CONFIRM Registry)

DC Field Value Language
dc.contributor.author장혁재-
dc.date.accessioned2014-12-18T08:58:57Z-
dc.date.available2014-12-18T08:58:57Z-
dc.date.issued2013-
dc.identifier.issn0002-9149-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/87314-
dc.description.abstractAlthough family history (FH) of coronary artery disease (CAD) is considered a risk factor for future cardiovascular events, the prevalence, extent, severity, and prognosis of young patients with FH of CAD have been inadequately studied. From 27,125 consecutive patients who underwent coronary computed tomographic angiography, 6,308 young patients (men aged <55 years and women aged <65 years) without known CAD were identified. Obstructive CAD was defined as >50% stenosis in a coronary artery >2 mm diameter. Risk-adjusted logistic regression, Kaplan-Meier, and Cox proportional-hazards models were used to compare patients with and without FH of CAD. Compared with subjects without FH of CAD, those with FH of CAD (FH+) had higher prevalences of any CAD (40% vs 30%, p <0.001) and obstructive CAD (11% vs 7%, p <0.001), with multivariate odds of FH+ increasing the likelihood of obstructive CAD by 71% (p <0.001). After a mean follow-up period of 2 ± 1 years (42 myocardial infarctions and 39 all-cause deaths), FH+ patients experienced higher annual rates of myocardial infarction (0.5% vs 0.2%, log-rank p = 0.001), with a positive FH the strongest predictor of myocardial infarction (hazard ratio 2.6, 95% confidence interval 1.4 to 4.8, p = 0.002). In conclusion, young FH+ patients have higher presence, extent, and severity of CAD, which are associated with increased risk for myocardial infarction. Compared with other clinical CAD risk factors, positive FH in young patients is the strongest clinical predictor of future unheralded myocardial infarction-
dc.description.statementOfResponsibilityopen-
dc.relation.isPartOfAMERICAN JOURNAL OF CARDIOLOGY-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.subject.MESHAdult-
dc.subject.MESHChi-Square Distribution-
dc.subject.MESHContrast Media-
dc.subject.MESHCoronary Angiography-
dc.subject.MESHCoronary Artery Disease/diagnostic imaging-
dc.subject.MESHCoronary Artery Disease/epidemiology-
dc.subject.MESHCoronary Artery Disease/genetics*-
dc.subject.MESHFemale-
dc.subject.MESHGenetic Predisposition to Disease-
dc.subject.MESHHumans-
dc.subject.MESHLogistic Models-
dc.subject.MESHMale-
dc.subject.MESHMiddle Aged-
dc.subject.MESHPredictive Value of Tests-
dc.subject.MESHPrevalence-
dc.subject.MESHPrognosis-
dc.subject.MESHProportional Hazards Models-
dc.subject.MESHRegistries-
dc.subject.MESHRisk Factors-
dc.subject.MESHSeverity of Illness Index-
dc.subject.MESHSex Factors-
dc.subject.MESHSurvival Analysis-
dc.subject.MESHTomography, X-Ray Computed-
dc.subject.MESHUnited States/epidemiology-
dc.titleImpact of Family History of Coronary Artery Disease in Young Individuals (from the CONFIRM Registry)-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Internal Medicine (내과학)-
dc.contributor.googleauthorYuka Otaki-
dc.contributor.googleauthorHeidi Gransar-
dc.contributor.googleauthorDaniel S. Berman-
dc.contributor.googleauthorVictor Y. Cheng-
dc.contributor.googleauthorDamini Dey-
dc.contributor.googleauthorFay Y. Lin-
dc.contributor.googleauthorStephan Achenbach-
dc.contributor.googleauthorMouaz Al-Mallah-
dc.contributor.googleauthorMatthew J. Budoff-
dc.contributor.googleauthorFilippo Cademartiri-
dc.contributor.googleauthorTracy Q. Callister-
dc.contributor.googleauthorHyuk-Jae Chang-
dc.contributor.googleauthorKavitha Chinnaiyan-
dc.contributor.googleauthorBenjamin J.W. Chow-
dc.contributor.googleauthorAugustin Delago-
dc.contributor.googleauthorMartin Hadamitzky-
dc.contributor.googleauthorJoerg Hausleiter-
dc.contributor.googleauthorPhilipp Kaufmann-
dc.contributor.googleauthorErica Maffei-
dc.contributor.googleauthorGilbert Raff-
dc.contributor.googleauthorLeslee J. Shaw-
dc.contributor.googleauthorTodd C. Villines-
dc.contributor.googleauthorAllison Dunning-
dc.contributor.googleauthorJames K. Min-
dc.identifier.doi10.1016/j.amjcard.2012.12.042-
dc.admin.authorfalse-
dc.admin.mappingfalse-
dc.contributor.localIdA03490-
dc.relation.journalcodeJ00071-
dc.identifier.eissn1879-1913-
dc.identifier.pmid23411105-
dc.identifier.urlhttp://www.sciencedirect.com/science/article/pii/S0002914912026458-
dc.subject.keywordAdult-
dc.subject.keywordChi-Square Distribution-
dc.subject.keywordContrast Media-
dc.subject.keywordCoronary Angiography-
dc.subject.keywordCoronary Artery Disease/diagnostic imaging-
dc.subject.keywordCoronary Artery Disease/epidemiology-
dc.subject.keywordCoronary Artery Disease/genetics*-
dc.subject.keywordFemale-
dc.subject.keywordGenetic Predisposition to Disease-
dc.subject.keywordHumans-
dc.subject.keywordLogistic Models-
dc.subject.keywordMale-
dc.subject.keywordMiddle Aged-
dc.subject.keywordPredictive Value of Tests-
dc.subject.keywordPrevalence-
dc.subject.keywordPrognosis-
dc.subject.keywordProportional Hazards Models-
dc.subject.keywordRegistries-
dc.subject.keywordRisk Factors-
dc.subject.keywordSeverity of Illness Index-
dc.subject.keywordSex Factors-
dc.subject.keywordSurvival Analysis-
dc.subject.keywordTomography, X-Ray Computed-
dc.subject.keywordUnited States/epidemiology-
dc.contributor.alternativeNameChang, Hyuck Jae-
dc.contributor.affiliatedAuthorChang, Hyuck Jae-
dc.rights.accessRightsnot free-
dc.citation.volume111-
dc.citation.number8-
dc.citation.startPage1081-
dc.citation.endPage1086-
dc.identifier.bibliographicCitationAMERICAN JOURNAL OF CARDIOLOGY, Vol.111(8) : 1081-1086, 2013-
dc.identifier.rimsid32973-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers

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