ஜர்னல் ஆஃப் மெட்டபாலிக் சிண்ட்ரோம்

Remodelling Metabolic Syndrome Components to Adapt them to the Tunisian Context and to Determine a Sole Metric Criterion

Abstract

Sarraj Mohamed Youssef, Najah Mohamed, Slimani Afef, Ben Hamda Khaldoun, Neffati Fadoua, Najjar Mohamed Fadhel and Slimane Mohamed Naceur

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.