Remodelling Metabolic Syndrome Components to Adapt them to the Tunisian Context and to Determine a Sole Metric Criterion
|Sarraj Mohamed Youssef1*, Najah Mohamed1, Slimani Afef1, Ben Hamda Khaldoun3, Neffati Fadoua2, Najjar Mohamed Fadhel2 and Slimane Mohamed Naceur1|
|1Research Unit genetic and biological factors of atherosclerosis. Medicine Faculty, University of Monastir, Tunisia|
|2Laboratory of Biochemistry and Toxicology of the Fatouma Bourguiba University Hospital of Monastir, Tunisia|
|3Department of Cardiology of the Fatouma Bourguiba University Hospital of Monastir, Tunisia|
|Corresponding Author :||Sarraj Mohamed Youssef
Research Unit 05/UR/09- 12: Genetic and Biological Factors of Atherosclerosis
Medicine Faculty, University of Monastir, Tunisia
Tel: 216-73-462 200
E-mail: [email protected]
|Received April 28, 2013; Accepted May 13, 2013; Published May 15, 2013|
|Citation: Youssef SM, Mohamed N, Afef S, Khaldoun BH, Fadoua N, et al. (2013) Remodelling Metabolic Syndrome Components to Adapt them to the Tunisian Context and to Determine a Sole Metric Criterion. J Metabolic Synd 2:121. doi:10.4172/2167-0943.1000121|
|Copyright: © 2013 Youssef SM, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.|
Aims: Metabolic Syndrome (MS) is a heterogenic entity and its major limitation was the use of binary components and the dependence of some criteria to ethnic origin and/or gender. We seek to remodel MS criteria to adapt them to the Tunisian context and to determine a sole quantitative MS parameter.
Materials and methods: 592 subjects who underwent routine control were investigated for biochemical, anthropometric and clinical examination. The diagnosis of MS was based on the IDF and AHA/NHLBI definition.The computer model HOMA 2 was used to determine HOMA-β, HOMA-S and HOMA-IR. Triglycerides (TG), High Density Lipoprotein cholesterol (cHDL), Systolic Blood Pressure (SBP), HOMA-IR and Waist Circumference Stature (WCS) were used to calculate the different MS markers. The area under curve of ROC curves were used to compare the powers of these MS parameters.
Results: HOMA-IR was more informative about glycaemia abnormality, WCS express better android obesity, and TG/cHDL ratio characterizes dyslipidemia. (TG x WCS x HOMA-IR x SBP) / cHDL parameter was more accurate to estimate MS occurrence; its cut-off point is 106.75
Conclusion: This marker, with sensitivity and specificity of 94.4 and 85.1 per cent, can be used either to diagnose or to predict MS occurrence.