Cited 37 times in
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 |
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dc.contributor.author | 장혁재 | - |
dc.date.accessioned | 2018-07-20T08:08:10Z | - |
dc.date.available | 2018-07-20T08:08:10Z | - |
dc.date.issued | 2017 | - |
dc.identifier.issn | 1941-9651 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/160867 | - |
dc.description.abstract | BACKGROUND: 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.statementOfResponsibility | open | - |
dc.language | English | - |
dc.publisher | Lippincott Williams & Wilkins | - |
dc.relation.isPartOf | CIRCULATION-CARDIOVASCULAR IMAGING | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.rights | https://creativecommons.org/licenses/by-nc-nd/2.0/kr/ | - |
dc.subject.MESH | Adult | - |
dc.subject.MESH | Age Factors | - |
dc.subject.MESH | Aged | - |
dc.subject.MESH | Canada/epidemiology | - |
dc.subject.MESH | Computed Tomography Angiography* | - |
dc.subject.MESH | Coronary Angiography/methods* | - |
dc.subject.MESH | Coronary Artery Disease/diagnostic imaging* | - |
dc.subject.MESH | Coronary Artery Disease/epidemiology | - |
dc.subject.MESH | Coronary Vessels/diagnostic imaging* | - |
dc.subject.MESH | Europe/epidemiology | - |
dc.subject.MESH | Female | - |
dc.subject.MESH | Humans | - |
dc.subject.MESH | Male | - |
dc.subject.MESH | Middle Aged | - |
dc.subject.MESH | Multidetector Computed Tomography* | - |
dc.subject.MESH | Nomograms* | - |
dc.subject.MESH | Plaque, Atherosclerotic* | - |
dc.subject.MESH | Predictive Value of Tests | - |
dc.subject.MESH | Prevalence | - |
dc.subject.MESH | Prognosis | - |
dc.subject.MESH | Prospective Studies | - |
dc.subject.MESH | Registries | - |
dc.subject.MESH | Reproducibility of Results | - |
dc.subject.MESH | Republic of Korea/epidemiology | - |
dc.subject.MESH | Risk Factors | - |
dc.subject.MESH | Severity of Illness Index | - |
dc.subject.MESH | Sex Factors | - |
dc.subject.MESH | United States/epidemiology | - |
dc.title | Predictive Value of Age- and Sex-Specific Nomograms of Global Plaque Burden on Coronary Computed Tomography Angiography for Major Cardiac Events | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine | - |
dc.contributor.department | Dept. of Internal Medicine | - |
dc.contributor.googleauthor | Christopher Naoum | - |
dc.contributor.googleauthor | Daniel S. Berman | - |
dc.contributor.googleauthor | Amir Ahmadi | - |
dc.contributor.googleauthor | Philipp Blanke | - |
dc.contributor.googleauthor | Heidi Gransar | - |
dc.contributor.googleauthor | Jagat Narula | - |
dc.contributor.googleauthor | Leslee J. Shaw | - |
dc.contributor.googleauthor | Leonard Kritharides | - |
dc.contributor.googleauthor | Stephan Achenbach | - |
dc.contributor.googleauthor | Mouaz H. Al-Mallah | - |
dc.contributor.googleauthor | Daniele Andreini | - |
dc.contributor.googleauthor | Matthew J. Budoff | - |
dc.contributor.googleauthor | Filippo Cademartiri | - |
dc.contributor.googleauthor | Tracy Q. Callister | - |
dc.contributor.googleauthor | Hyuk-Jae Chang | - |
dc.contributor.googleauthor | Kavitha Chinnaiyan | - |
dc.contributor.googleauthor | Benjamin Chow | - |
dc.contributor.googleauthor | Ricardo C. Cury | - |
dc.contributor.googleauthor | Augustin DeLago | - |
dc.contributor.googleauthor | Allison Dunning | - |
dc.contributor.googleauthor | Gudrun Feuchtner | - |
dc.contributor.googleauthor | Martin Hadamitzky | - |
dc.contributor.googleauthor | Joerg Hausleiter | - |
dc.contributor.googleauthor | Philipp A. Kaufmann | - |
dc.contributor.googleauthor | Yong-Jin Kim | - |
dc.contributor.googleauthor | Erica Maffei | - |
dc.contributor.googleauthor | Hugo Marquez | - |
dc.contributor.googleauthor | Gianluca Pontone | - |
dc.contributor.googleauthor | Gilbert Raff | - |
dc.contributor.googleauthor | Ronen Rubinshtein | - |
dc.contributor.googleauthor | Todd C. Villines | - |
dc.contributor.googleauthor | James Min | - |
dc.contributor.googleauthor | Jonathon Leipsic | - |
dc.identifier.doi | 10.1161/CIRCIMAGING.116.004896 | - |
dc.contributor.localId | A03490 | - |
dc.relation.journalcode | J00538 | - |
dc.identifier.eissn | 1942-0080 | - |
dc.identifier.pmid | 28292858 | - |
dc.subject.keyword | computed tomography angiography | - |
dc.subject.keyword | coronary angiography | - |
dc.subject.keyword | coronary artery disease | - |
dc.subject.keyword | epidemiology | - |
dc.subject.keyword | nomograms | - |
dc.contributor.alternativeName | Chang, Hyuck Jae | - |
dc.contributor.affiliatedAuthor | Chang, Hyuck Jae | - |
dc.citation.volume | 10 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | e004896 | - |
dc.identifier.bibliographicCitation | CIRCULATION-CARDIOVASCULAR IMAGING, Vol.10(3) : e004896, 2017 | - |
dc.identifier.rimsid | 60751 | - |
dc.type.rims | ART | - |
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