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Predictive Value of Age- and Sex-Specific Nomograms of Global Plaque Burden on Coronary Computed Tomography Angiography for Major Cardiac Events

DC Field Value Language
dc.contributor.author장혁재-
dc.date.accessioned2018-07-20T08:08:10Z-
dc.date.available2018-07-20T08:08:10Z-
dc.date.issued2017-
dc.identifier.issn1941-9651-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/160867-
dc.description.abstractBACKGROUND: Age-adjusted coronary artery disease (CAD) burden identified on coronary computed tomography angiography predicts major adverse cardiovascular event (MACE) risk; however, it seldom contributes to clinical decision making because of a lack of nomographic data. We aimed to develop clinically pragmatic age- and sex-specific nomograms of CAD burden using coronary computed tomography angiography and to validate their prognostic use. METHODS AND RESULTS: Patients prospectively enrolled in phase I of the CONFIRM registry (Coronary CT Angiography Evaluation for Clinical Outcomes) were included (derivation cohort: n=21,132; 46% female) to develop CAD nomograms based on age-sex percentiles of segment involvement score (SIS) at each year of life (40-79 years). The relationship between SIS age-sex percentiles (SIS%) and MACE (all-cause death, myocardial infarction, unstable angina, and late revascularization) was tested in a nonoverlapping validation cohort (phase II, CONFIRM registry; n=3030, 44% female) by stratifying patients into 3 SIS% groups (≤50th, 51-75th, and >75th) and comparing annualized MACE rates and time to MACE using multivariable Cox proportional hazards models adjusting for Framingham risk and chest pain typicality. Age-sex percentiles were well fitted to second-order polynomial curves (men: R2=0.86±0.12; women: R2=0.86±0.14). Using the nomograms, there were 1576, 965, and 489 patients, respectively, in the ≤50th, 51-75th, and >75th SIS% groups. Annualized event rates were higher among patients with greater CAD burden (2.1% [95% confidence interval: 1.7%-2.7%], 3.9% [95% confidence interval: 3.0%-5.1%], and 7.2% [95% confidence interval: 5.4%-9.6%] in ≤50th, 51-75th, and >75th SIS% groups, respectively; P<0.001). Adjusted MACE risk was significantly increased among patients in SIS% groups above the median compared with patients below the median (hazard ratio [95% confidence interval]: 1.9 [1.3-2.8] for 51-75th SIS% group and 3.4 [2.3-5.0] for >75th SIS% group; P<0.01 for both). CONCLUSIONS: We have developed clinically pragmatic age- and sex-specific nomograms of CAD prevalence using coronary computed tomography angiography findings. Global plaque burden measured using SIS% is predictive of cardiac events independent of traditional risk assessment.-
dc.description.statementOfResponsibilityopen-
dc.languageEnglish-
dc.publisherLippincott Williams & Wilkins-
dc.relation.isPartOfCIRCULATION-CARDIOVASCULAR IMAGING-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.subject.MESHAdult-
dc.subject.MESHAge Factors-
dc.subject.MESHAged-
dc.subject.MESHCanada/epidemiology-
dc.subject.MESHComputed Tomography Angiography*-
dc.subject.MESHCoronary Angiography/methods*-
dc.subject.MESHCoronary Artery Disease/diagnostic imaging*-
dc.subject.MESHCoronary Artery Disease/epidemiology-
dc.subject.MESHCoronary Vessels/diagnostic imaging*-
dc.subject.MESHEurope/epidemiology-
dc.subject.MESHFemale-
dc.subject.MESHHumans-
dc.subject.MESHMale-
dc.subject.MESHMiddle Aged-
dc.subject.MESHMultidetector Computed Tomography*-
dc.subject.MESHNomograms*-
dc.subject.MESHPlaque, Atherosclerotic*-
dc.subject.MESHPredictive Value of Tests-
dc.subject.MESHPrevalence-
dc.subject.MESHPrognosis-
dc.subject.MESHProspective Studies-
dc.subject.MESHRegistries-
dc.subject.MESHReproducibility of Results-
dc.subject.MESHRepublic of Korea/epidemiology-
dc.subject.MESHRisk Factors-
dc.subject.MESHSeverity of Illness Index-
dc.subject.MESHSex Factors-
dc.subject.MESHUnited States/epidemiology-
dc.titlePredictive Value of Age- and Sex-Specific Nomograms of Global Plaque Burden on Coronary Computed Tomography Angiography for Major Cardiac Events-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine-
dc.contributor.departmentDept. of Internal Medicine-
dc.contributor.googleauthorChristopher Naoum-
dc.contributor.googleauthorDaniel S. Berman-
dc.contributor.googleauthorAmir Ahmadi-
dc.contributor.googleauthorPhilipp Blanke-
dc.contributor.googleauthorHeidi Gransar-
dc.contributor.googleauthorJagat Narula-
dc.contributor.googleauthorLeslee J. Shaw-
dc.contributor.googleauthorLeonard Kritharides-
dc.contributor.googleauthorStephan Achenbach-
dc.contributor.googleauthorMouaz H. Al-Mallah-
dc.contributor.googleauthorDaniele Andreini-
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 Chow-
dc.contributor.googleauthorRicardo C. Cury-
dc.contributor.googleauthorAugustin DeLago-
dc.contributor.googleauthorAllison Dunning-
dc.contributor.googleauthorGudrun Feuchtner-
dc.contributor.googleauthorMartin Hadamitzky-
dc.contributor.googleauthorJoerg Hausleiter-
dc.contributor.googleauthorPhilipp A. Kaufmann-
dc.contributor.googleauthorYong-Jin Kim-
dc.contributor.googleauthorErica Maffei-
dc.contributor.googleauthorHugo Marquez-
dc.contributor.googleauthorGianluca Pontone-
dc.contributor.googleauthorGilbert Raff-
dc.contributor.googleauthorRonen Rubinshtein-
dc.contributor.googleauthorTodd C. Villines-
dc.contributor.googleauthorJames Min-
dc.contributor.googleauthorJonathon Leipsic-
dc.identifier.doi10.1161/CIRCIMAGING.116.004896-
dc.contributor.localIdA03490-
dc.relation.journalcodeJ00538-
dc.identifier.eissn1942-0080-
dc.identifier.pmid28292858-
dc.subject.keywordcomputed tomography angiography-
dc.subject.keywordcoronary angiography-
dc.subject.keywordcoronary artery disease-
dc.subject.keywordepidemiology-
dc.subject.keywordnomograms-
dc.contributor.alternativeNameChang, Hyuck Jae-
dc.contributor.affiliatedAuthorChang, Hyuck Jae-
dc.citation.volume10-
dc.citation.number3-
dc.citation.startPagee004896-
dc.identifier.bibliographicCitationCIRCULATION-CARDIOVASCULAR IMAGING, Vol.10(3) : e004896, 2017-
dc.identifier.rimsid60751-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers

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