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Left ventricular function and volume with coronary CT angiography improves risk stratification and identification of patients at risk for incident mortality: results from 7758 patients in the prospective multinational CONFIRM observational cohort study.

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dc.contributor.author장혁재-
dc.date.accessioned2015-12-28T10:53:49Z-
dc.date.available2015-12-28T10:53:49Z-
dc.date.issued2014-
dc.identifier.issn0033-8419-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/138258-
dc.description.abstractPURPOSE: To assess whether gradations of left ventricular (LV) ejection fraction (LVEF) and volumes measured with coronary computed tomography (CT) would augment risk stratification and discrimination for incident mortality. MATERIALS AND METHODS: This study was approved by the institutional review board, and informed consent was obtained when required. Subjects without known coronary artery disease (CAD) who underwent cardiac CT angiography with quantitative LV measurements were categorized according to LVEF (≥ 55%, 45%-54.9%, 35%-44.9%, or <35%). LV end-systolic volume (LVESV) and LV end-diastolic volume (LVEDV) were classified as normal (≥ 90 mL) or abnormal (≥ 200 mL). CAD extent and severity was categorized as none, nonobstructive, obstructive (≥ 50%), one-vessel, two-vessel, and three-vessel or left main disease. LVEF and volumes were assessed for risk prediction and discrimination of future mortality by using Cox hazards model and receiver operating characteristic curve analysis, respectively. RESULTS: During a follow-up of 2.0 years ± 0.9, 7758 patients (mean age, 58.5 years ± 13.0; 4220 male patients [54.4%]) were studied. At multivariable analysis, worsening LVEF was independently associated with mortality for moderately (hazard ratio = 3.14, P < .001) and severely (hazard ratio = 5.19, P < .001) abnormal ejection fraction. LVEF demonstrated improved discrimination for mortality (Az = 0.816) when compared with CAD risk factors alone (Az = 0.781) or CAD risk factors plus extent and severity. At multivariable analysis of a subgroup of 3706 individuals, abnormal LVEDV (hazard ratio = 4.02) and LVESV (hazard ratio = 6.46) helped predict mortality (P < .001). Similarly, LVESV and LVEDV demonstrated improved discrimination when compared with CAD risk factors or CAD extent and severity (P < .05). CONCLUSION: LV dysfunction and volumes measured with cardiac CT angiography augment risk prediction and discrimination for future mortality.-
dc.description.statementOfResponsibilityopen-
dc.format.extent70~77-
dc.relation.isPartOfRADIOLOGY-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.subject.MESHCoronary Angiography/methods*-
dc.subject.MESHCoronary Disease/diagnostic imaging*-
dc.subject.MESHCoronary Disease/mortality*-
dc.subject.MESHFemale-
dc.subject.MESHHumans-
dc.subject.MESHMale-
dc.subject.MESHMiddle Aged-
dc.subject.MESHPrognosis-
dc.subject.MESHProspective Studies-
dc.subject.MESHRadiographic Image Interpretation, Computer-Assisted-
dc.subject.MESHRegistries-
dc.subject.MESHRisk Assessment-
dc.subject.MESHRisk Factors-
dc.subject.MESHSurvival Rate-
dc.subject.MESHTomography, X-Ray Computed/methods*-
dc.subject.MESHVentricular Dysfunction, Left/diagnostic imaging*-
dc.subject.MESHVentricular Dysfunction, Left/mortality*-
dc.titleLeft ventricular function and volume with coronary CT angiography improves risk stratification and identification of patients at risk for incident mortality: results from 7758 patients in the prospective multinational CONFIRM observational cohort study.-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Internal Medicine (내과학)-
dc.contributor.googleauthorReza Arsanjani-
dc.contributor.googleauthorDaniel S. Berman-
dc.contributor.googleauthorHeidi Gransar-
dc.contributor.googleauthorVictor Y. Cheng-
dc.contributor.googleauthorAllison Dunning-
dc.contributor.googleauthorFay Y. Lin-
dc.contributor.googleauthorStephan Achenbach-
dc.contributor.googleauthorMouaz Al Mallah-
dc.contributor.googleauthorMatthew J. Budoff-
dc.contributor.googleauthorTracy Q. Callister-
dc.contributor.googleauthorHyuk Jae Chang-
dc.contributor.googleauthorFilippo Cademartiri-
dc.contributor.googleauthorKavitha M. 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.googleauthorTroy M. LaBounty-
dc.contributor.googleauthorJonathon Leipsic-
dc.contributor.googleauthorGilbert Raff-
dc.contributor.googleauthorLeslee J. Shaw-
dc.contributor.googleauthorTodd C. Villines-
dc.contributor.googleauthorRicardo C. Cury-
dc.contributor.googleauthorGudrun Feuchtner-
dc.contributor.googleauthorYong Jin Kim-
dc.contributor.googleauthorJames K. Min-
dc.identifier.doi10.1148/radiol.14122816-
dc.admin.authorfalse-
dc.admin.mappingfalse-
dc.contributor.localIdA03490-
dc.relation.journalcodeJ02596-
dc.identifier.eissn1527-1315-
dc.identifier.pmid24991988-
dc.identifier.urlhttp://pubs.rsna.org/doi/abs/10.1148/radiol.14122816-
dc.contributor.alternativeNameChang, Hyuck Jae-
dc.contributor.affiliatedAuthorChang, Hyuck Jae-
dc.rights.accessRightsfree-
dc.citation.volume273-
dc.citation.number1-
dc.citation.startPage70-
dc.citation.endPage77-
dc.identifier.bibliographicCitationRADIOLOGY, Vol.273(1) : 70-77, 2014-
dc.identifier.rimsid52345-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers

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