Cited 22 times in
Usefulness of metabolic syndrome score in the prediction of angiographic coronary artery disease severity according to the presence of diabetes mellitus: relation with inflammatory markers and adipokines
DC Field | Value | Language |
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dc.contributor.author | 권혁문 | - |
dc.contributor.author | 김종윤 | - |
dc.contributor.author | 문희선 | - |
dc.contributor.author | 민필기 | - |
dc.contributor.author | 윤영원 | - |
dc.contributor.author | 이병권 | - |
dc.contributor.author | 임세중 | - |
dc.contributor.author | 최의영 | - |
dc.contributor.author | 홍범기 | - |
dc.date.accessioned | 2014-12-18T09:18:00Z | - |
dc.date.available | 2014-12-18T09:18:00Z | - |
dc.date.issued | 2013 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/87911 | - |
dc.description.abstract | BACKGROUND: It is a matter of debate whether metabolic syndrome (MS) improves cardiovascular risk prediction beyond the risk associated with its individual components. The present study examined the association of MS score with high sensitivity C-reactive protein (hs-CRP), interleukin-6 (IL-6), resistin, adiponectin, and angiographic coronary artery disease (CAD) severity according to the presence of DM. In addition, the predictive value of various clinical and biochemical parameters were analyzed, including the MS score for angiographic CAD. METHODS: The study enrolled 363 consecutive patients (196 men, 62 ± 11 years of age) who underwent coronary angiography for evaluation of chest pain. Blood samples were taken prior to elective coronary angiography. MS was defined by the National Cholesterol Education Program criteria, with MS score defined as the numbers of MS components. CAD was defined as > 50% luminal diameter stenosis of at least one major epicardial coronary artery. CAD severity was assessed using the Gensini score. RESULTS: Of the 363 patients studied, 174 (48%) had CAD and 178 (49%) were diagnosed with MS. When the patients were divided into 4 subgroups according to MS score (0-1, 2, 3, 4-5), IL-6 levels and the CAD severity as assessed by the Gensini score increased as MS scores increased. In contrast, adiponectin levels decreased significantly as MS scores increased. When subjects were divided into two groups according to the presence of DM, the relationships between MS score and IL-6, adiponectin, and Gensini score were maintained only in patients without DM. Age, smoking, DM, MS score, and adiponectin independently predicted angiographic CAD in the whole population. However, age is the only predictor for angiographic CAD in patients with DM. CONCLUSIONS: In the presence of DM, neither adipokines nor MS score predicted angiographic CAD. However, in non-diabetic patients, IL-6 and adiponectin showed progressive changes according to MS score, and MS score was an independent predictor of CAD in patients without DM. | - |
dc.description.statementOfResponsibility | open | - |
dc.relation.isPartOf | CARDIOVASCULAR DIABETOLOGY | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/2.0/kr/ | - |
dc.subject.MESH | Adipokines/blood* | - |
dc.subject.MESH | Adiponectin/blood | - |
dc.subject.MESH | Aged | - |
dc.subject.MESH | Biomarkers/blood | - |
dc.subject.MESH | C-Reactive Protein/analysis | - |
dc.subject.MESH | Coronary Angiography* | - |
dc.subject.MESH | Coronary Stenosis/diagnostic imaging* | - |
dc.subject.MESH | Coronary Stenosis/epidemiology | - |
dc.subject.MESH | Cross-Sectional Studies | - |
dc.subject.MESH | Diabetes Mellitus/blood | - |
dc.subject.MESH | Diabetes Mellitus/diagnosis* | - |
dc.subject.MESH | Diabetes Mellitus/epidemiology | - |
dc.subject.MESH | Female | - |
dc.subject.MESH | Humans | - |
dc.subject.MESH | Inflammation Mediators/blood* | - |
dc.subject.MESH | Interleukin-6/blood | - |
dc.subject.MESH | Male | - |
dc.subject.MESH | Metabolic Syndrome/blood | - |
dc.subject.MESH | Metabolic Syndrome/diagnosis* | - |
dc.subject.MESH | Metabolic Syndrome/epidemiology | - |
dc.subject.MESH | Middle Aged | - |
dc.subject.MESH | Predictive Value of Tests | - |
dc.subject.MESH | Prevalence | - |
dc.subject.MESH | Prospective Studies | - |
dc.subject.MESH | Republic of Korea/epidemiology | - |
dc.subject.MESH | Resistin/blood | - |
dc.subject.MESH | Risk Factors | - |
dc.subject.MESH | Severity of Illness Index | - |
dc.title | Usefulness of metabolic syndrome score in the prediction of angiographic coronary artery disease severity according to the presence of diabetes mellitus: relation with inflammatory markers and adipokines | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Internal Medicine (내과학) | - |
dc.contributor.googleauthor | Jong-Youn Kim | - |
dc.contributor.googleauthor | Eui-Young Choi | - |
dc.contributor.googleauthor | Hee-Sun Mun | - |
dc.contributor.googleauthor | Pil-Ki Min | - |
dc.contributor.googleauthor | Young-Won Yoon | - |
dc.contributor.googleauthor | Byoung Kwon Lee | - |
dc.contributor.googleauthor | Bum-Kee Hong | - |
dc.contributor.googleauthor | Se-Joong Rim | - |
dc.contributor.googleauthor | Hyuck Moon Kwon | - |
dc.identifier.doi | 10.1186/1475-2840-12-140 | - |
dc.admin.author | false | - |
dc.admin.mapping | false | - |
dc.contributor.localId | A00260 | - |
dc.contributor.localId | A00926 | - |
dc.contributor.localId | A01396 | - |
dc.contributor.localId | A01412 | - |
dc.contributor.localId | A02580 | - |
dc.contributor.localId | A02793 | - |
dc.contributor.localId | A03372 | - |
dc.contributor.localId | A04165 | - |
dc.contributor.localId | A04394 | - |
dc.relation.journalcode | J00460 | - |
dc.identifier.eissn | 1475-2840 | - |
dc.identifier.pmid | 24088407 | - |
dc.subject.keyword | Metabolic syndrome | - |
dc.subject.keyword | Adipokines | - |
dc.subject.keyword | Coronary artery disease | - |
dc.subject.keyword | Diabetes mellitus | - |
dc.contributor.alternativeName | Kwon, Hyuck Moon | - |
dc.contributor.alternativeName | Kim, Jong Youn | - |
dc.contributor.alternativeName | Mun, Hee Sun | - |
dc.contributor.alternativeName | Min, Pil Ki | - |
dc.contributor.alternativeName | Yoon, Young Won | - |
dc.contributor.alternativeName | Lee, Byoung Kwon | - |
dc.contributor.alternativeName | Rim, Se Joong | - |
dc.contributor.alternativeName | Choi, Eui Young | - |
dc.contributor.alternativeName | Hong, Bum Kee | - |
dc.contributor.affiliatedAuthor | Kwon, Hyuck Moon | - |
dc.contributor.affiliatedAuthor | Kim, Jong Youn | - |
dc.contributor.affiliatedAuthor | Mun, Hee Sun | - |
dc.contributor.affiliatedAuthor | Min, Pil Ki | - |
dc.contributor.affiliatedAuthor | Yoon, Young Won | - |
dc.contributor.affiliatedAuthor | Lee, Byoung Kwon | - |
dc.contributor.affiliatedAuthor | Rim, Se Joong | - |
dc.contributor.affiliatedAuthor | Choi, Eui Young | - |
dc.contributor.affiliatedAuthor | Hong, Bum Kee | - |
dc.rights.accessRights | free | - |
dc.citation.volume | 12 | - |
dc.citation.startPage | 140 | - |
dc.identifier.bibliographicCitation | CARDIOVASCULAR DIABETOLOGY, Vol.12 : 140, 2013 | - |
dc.identifier.rimsid | 33845 | - |
dc.type.rims | ART | - |
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