Comparison of Visceral Adiposity Index with Other Indices of Adiposity in Patients with Acute Myocardial Infarction

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Abstract
Pharmacology, Toxicology and Biomedical Reports,2015,1,2,55-61.
Published:5th May, 2015
Type:Original Article

Comparison of Visceral Adiposity Index with Other Indices of Adiposity in Patients with Acute Myocardial Infarction

Vengatesh Munusamy, Melvin George*, Amrita Jena, Aruna Sridhar and Dhandapani Vellala Elumalai

Department of Cardiology, SRM Medical College Hospital and Research Centre, Kattankulathur, Chennai, Tamil Nadu, INDIA.

Abstract:

Background: Obesity continues to increase exponentially across the globe. BMI has been the traditional method used to define and quantify the severity of obesity. In recent years, visceral fat has emerged as an important measure of cardiovascular risk. Although MRI and CT scan can estimate the degree of visceral fat, these methods are not feasible in the routine clinical setting. Visceral Adiposity Index (VAI) is a recently derived index to measure visceral fat based on the knowledge of Waist Circumference (WC), plasma HDL, triglycerides and BMI. The study aimed to compare VAI with other adiposity indices in Acute MI and to also assess its ability to detect metabolic syndrome. Methods: In this crosssectional study, 213 patients (Acute STEMI- 106, Controls-107) were included. The lipid profile and all other routine laboratory investigations were performed. Waist and hip circumference (HC) were measured. VAI and other adiposity indices were measured such as atherogenic index (AI), Conicity index (CI), Waist Hip Ratio (WHR) and Waist Height Ratio (WHtR) using appropriate formulae. Results: Patients with metabolic syndrome had higher VAI index (p=0.0001), higher AI index (p=0.0001), higher CI (p=0.0001), higher BMI (p=0.0001), higher WC (p=0.0001) and higher HC (p=0.0001). An ROC curve plotted for each adiposity index to detect metabolic syndrome showed VAI to have the maximal AUC. A VAI of 2.69 was chosen as the cut-off value which had a sensitivity of 70.1% and specificity of 74.35 % ( AUC=0.81, CI-0.74 to 0.87; P=0.0001). Conclusion: VAI is an excellent and simple tool to detect Mets as compared to other adiposity indices. It remains to be seen if VAI could accurately reflect the degree of cardiovascular risk from prospective cohort studies.