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Improved 5-year prediction of all-cause mortality by coronary CT angiography applying the CONFIRM score

DC FieldValueLanguage
dc.contributor.author장혁재-
dc.date.accessioned2018-07-20T08:08:09Z-
dc.date.available2018-07-20T08:08:09Z-
dc.date.issued2017-
dc.identifier.issn2047-2404-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/160866-
dc.description.abstractAims: To investigate the long-term performance of the CONFIRM score for prediction of all-cause mortality in a large patient cohort undergoing coronary computed tomography angiography (CCTA). Methods and results: Patients with a 5-year follow-up from the international multicentre CONFIRM registry were included. The primary endpoint was all-cause mortality. The predictive value of the CONFIRM score over clinical risk scores (Morise, Framingham, and NCEP ATP III score) was studied in the entire patient population as well as in subgroups. Improvement in risk prediction and patient reclassification were assessed using categorical net reclassification index (NRI) and integrated discrimination improvement (IDI). During a median follow-up period of 5.3 years, 982 (6.5%) of 15 219 patients died. The CONFIRM score outperformed the prognostic value of the studied three clinical risk scores (c-indices: CONFIRM score 0.696, NCEP ATP III score 0.675, Framingham score 0.610, Morise score 0.606; c-index for improvement CONFIRM score vs. NCEP ATP III score 0.650, P < 0.0001). Application of the CONFIRM score allowed reclassification of 34% of patients when compared with the NCEP ATP III score, which was the best clinical risk score. Reclassification was significant as revealed by categorical NRI (0.06 with 95% CI 0.02 and 0.10, P = 0.005) and IDI (0.013 with 95% CI 0.01 and 0.015, P < 0.001). Subgroup analysis revealed a comparable performance in a variety of patient subgroups. Conclusions: The CONFIRM score permits a significantly improved prediction of mortality over clinical risk scores for >5 years after CCTA. These findings are consistent in a large variety of patient subgroups.-
dc.description.statementOfResponsibilityopen-
dc.languageEnglish-
dc.publisherOxford University Press-
dc.relation.isPartOfEUROPEAN HEART JOURNAL-CARDIOVASCULAR IMAGING-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.subject.MESHAged-
dc.subject.MESHAnalysis of Variance-
dc.subject.MESHCause of Death*-
dc.subject.MESHCohort Studies-
dc.subject.MESHComputed Tomography Angiography/methods*-
dc.subject.MESHCoronary Angiography/methods*-
dc.subject.MESHCoronary Artery Disease/diagnostic imaging*-
dc.subject.MESHCoronary Artery Disease/mortality*-
dc.subject.MESHCoronary Artery Disease/physiopathology-
dc.subject.MESHDisease-Free Survival-
dc.subject.MESHFemale-
dc.subject.MESHHumans-
dc.subject.MESHInternationality-
dc.subject.MESHKaplan-Meier Estimate-
dc.subject.MESHMale-
dc.subject.MESHMiddle Aged-
dc.subject.MESHMultivariate Analysis-
dc.subject.MESHPredictive Value of Tests-
dc.subject.MESHProportional Hazards Models-
dc.subject.MESHQuality Improvement-
dc.subject.MESHROC Curve-
dc.subject.MESHRegistries*-
dc.subject.MESHRisk Assessment-
dc.subject.MESHSeverity of Illness Index-
dc.subject.MESHSurvival Analysis-
dc.subject.MESHTime Factors-
dc.titleImproved 5-year prediction of all-cause mortality by coronary CT angiography applying the CONFIRM score-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine-
dc.contributor.departmentDept. of Internal Medicine-
dc.contributor.googleauthorSimon Deseive-
dc.contributor.googleauthorLeslee J. Shaw-
dc.contributor.googleauthorJames K. Min-
dc.contributor.googleauthorStephan Achenbach-
dc.contributor.googleauthorDaniele Andreini-
dc.contributor.googleauthorMouaz H. Al-Mallah-
dc.contributor.googleauthorDaniel S. Berman-
dc.contributor.googleauthorMatthew J. Budoff-
dc.contributor.googleauthorTracy Q. Callister-
dc.contributor.googleauthorFilippo Cademartiri-
dc.contributor.googleauthorHyuk-Jae Chang-
dc.contributor.googleauthorKavitha Chinnaiyan-
dc.contributor.googleauthorBenjamin J.W. Chow-
dc.contributor.googleauthorRicardo C. Cury-
dc.contributor.googleauthorAugustin DeLago-
dc.contributor.googleauthorAllison M. Dunning-
dc.contributor.googleauthorGudrun Feuchtner-
dc.contributor.googleauthorPhilipp A. Kaufmann-
dc.contributor.googleauthorYong-Jin Kim-
dc.contributor.googleauthorJonathon Leipsic-
dc.contributor.googleauthorHugo Marques-
dc.contributor.googleauthorErica Maffei-
dc.contributor.googleauthorGianluca Pontone-
dc.contributor.googleauthorGilbert Raff-
dc.contributor.googleauthorRonin Rubinshtein-
dc.contributor.googleauthorTodd C. Villines-
dc.contributor.googleauthorJörg Hausleiter-
dc.contributor.googleauthorMartin Hadamitzky-
dc.identifier.doi10.1093/ehjci/jew195-
dc.contributor.localIdA03490-
dc.relation.journalcodeJ00806-
dc.identifier.eissn2047-2412-
dc.identifier.pmid28363203-
dc.subject.keywordCardiac computer tomographic angiography-
dc.subject.keywordCoronary Artery Disease-
dc.subject.keywordPrognosis-
dc.contributor.alternativeNameChang, Hyuck Jae-
dc.contributor.affiliatedAuthorChang, Hyuck Jae-
dc.citation.volume18-
dc.citation.number3-
dc.citation.startPage286-
dc.citation.endPage293-
dc.identifier.bibliographicCitationEUROPEAN HEART JOURNAL-CARDIOVASCULAR IMAGING, Vol.18(3) : 286-293, 2017-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers

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