Anthropometric and body composition indices are not predictive of cardiovascular biomarkers and estimated risk in patients with type 2 diabetes on oral antidiabetic treatment

Alexandra Markova; Mihail Boyanov; Deniz Bakalov; Adelina Tsakova

doi:10.1530/endoabs.70.EP129

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Endocrine Abstracts (2020) 70 EP129 | DOI: 10.1530/endoabs.70.EP129

ECE2020 ePoster Presentations Diabetes, Obesity, Metabolism and Nutrition (142 abstracts)

Anthropometric and body composition indices are not predictive of cardiovascular biomarkers and estimated risk in patients with type 2 diabetes on oral antidiabetic treatment

Alexandra Markova ¹ , Mihail Boyanov ¹ , Deniz Bakalov ¹ & Adelina Tsakova ²

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¹University Hospital Alexandrovska, Medical University Sofia, Clinic of Endocrinology and Metabolism, Department Internal Medicine, Sofia, Bulgaria; ²University Hospital Alexandrovska, Medical University Sofia, Central Clinical Laboratory, Department Clinical Laboratory and Clinical Immunology, Sofia, Bulgaria

Aims: To explore the correlations of BMI, waist circumference (WC), waist–to–height ratio (WHtR), waist–to–hip ratio (WHR) and body composition with levels of assymetric dymethylarginine (ADMA), endothelin 1(ET–1), N–terminal brain natriuretic pro–peptide (NT–proBNP), uric acid and calculated cardiovascular risks.

Methods: 102 women and 67 men with type 2 diabetes on oral antidiabetic drugs participated. Serum levels of NT–proBNP were measured by electro–hemi–luminescence (Elecsys 2010, Roche Diagnostics) while enzymatic immunoassays were used for ADMA (BioVendor) and ET–1 (IBL International GmbH). Cardiovascular risks were calculated using the Framingham Risk Score (FRS), the UKPDS 2.0 and the ADVANCE risk engines. Statistical analysis was performed on an IBM SPSS 19.0 (SPSS Corp., Chicago, IL).

Results: The BMI outperformed all other indices of obesity (the WC, WHtR, WHR), as well as body composition parameters (BF%, FM, FFM and TBW) in relation to the estimated risks for CHD and stroke based on different calculators. The correlations of the obesity indices with the serum CV biomarkers were not significant except for BMI and FM vs ET–1, and for FFM and TBW vs ADMA. The correlations with serum UA were very weak.

Conclusions: The WC, WHR, WHtR, BF%, FM and FFM do apparently not add significant information related to the levels of markers of endothelial dysfunction and vascular damage or the calculated CV–risks.