No abstract

The aim of the study was to compare body composition and epicardial fat thickness changes in insulin-naïve inadequately controlled patients with type 2 diabetes following basal insulin initiation with detemir vs. glargine. Six-month, open-label, interventional randomized pilot study was conducted. Dual-energy X-ray absorptiometry and echocardiography were used to estimate the body composition and epicardial fat thickness respectively. Thirty-six patients in the detemir group and 20 in the glargine group completed the study. Study groups baseline characteristics were comparable. At 6 months, for similar glycemic control, those on detemir significantly gained less total weight (0.6±2.5 vs. 4.2±4.1 kg, p=0.004), total fat mass (0.9±2.2 vs. 2.9±2.4 kg, p=0.02), and truncal fat mass (0.8±1.5 vs. 2.1±1.7 kg, p=0.02), with a loss in truncal lean mass (- 0.8±1.9 kg vs. 0.3±1.7 kg; p=0.02). EFT significantly decreased from baseline in both group (detemir - 1.7±0.52-mm, glargine - 1.1±1.6-mm; p<0.05, without significant difference inter-groups). Within the detemir group, epicardial fat thickness change correlated with truncal fat and total fat mass changes (r=0.65, p=0.06 and r=0.60, p=0.07). In conclusion, detemir resulted in less fat mass gain, a trend for a more pronounced epicardial fat thickness reduction when compared with glargine.

Estimating % body fat using the BAI seems to accurately trace variations of % body fat after weight loss. However, this index showed differences in predicting cardiometabolic risk factors when compared to % body fat measured using DXA.

A recent study suggested visceral adipose index (VAI) as an indicator of adipose tissue distribution and function associated with cardiometabolic risk. We aim to examine the association between VAI and visceral adipose tissue (VAT), insulin sensitivity, and a large panel of associated cardiometabolic risk factors, and to determine if changes in VAI after weight loss intervention will reflect changes in VAT. We performed a secondary analysis using the data of 99 overweight and postmenopausal women that completed a 6-month weight loss program (Montreal Ottawa New Emerging Team Study). VAI was calculated according to the equation by Amato et al. (2010; Diabetes Care, 33(4):920-922). At baseline, VAI was associated with VAT (r = 0.284, p < 0.01) but not with subcutaneous adipose tissue (SAT) while body mass index (BMI) and waist circumference (WC) were significantly related to both. BMI and WC demonstrated significantly stronger predictive value of VAT accumulation (area under the curve = 0.84 and 0.86, respectively) than VAI (area under the curve = 0.61; p < 0.01). However, VAT, BMI, WC, and VAI were similarly related to fasting insulin and glucose disposal rates. After a 6-month weight loss program, VAI decreased significantly and similarly in both intervention groups (p < 0.01). In addition, the percentage of change in VAI showed the significantly weakest correlation (r = 0.25) with the percentage of change in VAT than BMI (r = 0.56; p < 0.01 for r comparisons) and was not a significant predictor of interindividual percentage of change in VAT while BMI accounted for 33.7%. VAI is a weak indicator of VAT function and did not predict changes in VAT after weight loss. Furthermore, this index was not superior to BMI or WC. However, VAI is a good indicator of metabolic syndrome.