Literature DB >> 19218766

Comparative performance of three metabolic syndrome definitions in the prediction of acute coronary syndrome.

Anastasios Koutsovasilis1, John Protopsaltis, Filippos Triposkiadis, Stelios Kokkoris, Haralampos J Milionis, Michael N Zairis, John Skoularigis, George Koukoulis, Panagiotis Korantzopoulos, Andreas Melidonis, Stefanos G Foussas.   

Abstract

OBJECTIVE: The value of the recently introduced definitions of metabolic syndrome (MetS) in the identification of high cardiovascular risk subjects remains questionable. We examined the association among different definitions of MetS, and the occurrence of a first-ever acute coronary syndrome (ACS).
METHODS: We studied 211 patients with a first-ever ACS and 210 control subjects. We recorded cardiovascular risk factors and the presence of MetS using 3 different definitions, according to the National Cholesterol Education Program Adult Treatment Panel (NCEP-ATP) III, National Heart, Lung and Blood Institute/American Heart Association (NHLBI/AHA), and International Diabetes Federation (IDF), respectively. The association of MetS with ACS was assessed using univariate and multivariate logistic regression models after adjusting for potential confounding factors, such as gender, age, body mass index, hypertension, diabetes mellitus, and lipids.
RESULTS: ACS cases had a prevalence of metabolic syndrome according to NCEP-ATP III, NHLBI/AHA, and IDF criteria of 72.5%, 81.2%, and 79.1%, respectively. The unadjusted odds ratio (OR) for a first-ever ACS were 2.32 (95% CI: 1.53-3.52, p=0.001), 2.82 (95% CI: 1.79-4.43, p=0.001), and 3.26 (95% CI: 2.12-5.00, p=0.001) for NCEP-ATP III, NHLBI/AHA, and IDF MetS definitions, respectively. Multivariate analyses revealed that only IDF-defined MetS was significantly associated with ACS (OR: 2.23 95% CI: 1.30-3.82, p=0.003), while of the MetS components only waist circumference remained independently associated with ACS (O.R: 1.045 95% CI: 1.014-1.078, p=0.005).
CONCLUSION: The definition of MetS according to the IDF criteria appears to be a better predictor of ACS than NCEP-ATP III and NHLBI/AHA.

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Year:  2009        PMID: 19218766     DOI: 10.2169/internalmedicine.48.1654

Source DB:  PubMed          Journal:  Intern Med        ISSN: 0918-2918            Impact factor:   1.271


  4 in total

1.  Prevalence of the metabolic syndrome in patients with acute coronary syndrome in six middle eastern countries.

Authors:  Jassim Al Suwaidi; Mohammad Zubaid; Ayman A El-Menyar; Rajvir Singh; Wafa Rashed; Mustafa Ridha; Abdulla Shehab; Jawad Al-Lawati; Haitham Amin; Ahmed Al-Mottareb
Journal:  J Clin Hypertens (Greenwich)       Date:  2010-08-30       Impact factor: 3.738

2.  Changing definitions of metabolic syndrome.

Authors:  Rakesh M Parikh; Viswanathan Mohan
Journal:  Indian J Endocrinol Metab       Date:  2012-01

3.  Matrix metalloproteinases in type 2 diabetes and non-diabetic controls: effects of short-term and chronic hyperglycaemia.

Authors:  Krzysztof C Lewandowski; Ewa Banach; Małgorzata Bieńkiewicz; Andrzej Lewiński
Journal:  Arch Med Sci       Date:  2011-05-17       Impact factor: 3.318

4.  Prevalence and determinants of metabolic syndrome among adults in a rural area of Northwest China.

Authors:  Yaling Zhao; Hong Yan; Ruihai Yang; Qiang Li; Shaonong Dang; Yuying Wang
Journal:  PLoS One       Date:  2014-03-10       Impact factor: 3.240

  4 in total

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