Sustained myocardial recovery and reversal of heart failure has been reported with the use of left ventricular assist devices (LVADs). However, clinical predictors of sustained recovery have not been clearly defined, and little information exists regarding exercise improvement in LVAD patients. Therefore, we sought to determine whether peripheral oxygen delivery and utilization were improved with LVAD support. Eleven patients with available pre- and post-LVAD cardiopulmonary exercise (CPX) data were studied retrospectively. Five patients received a HeartMate XVE for destination therapy (DT) and six patients received a Thoratec PVAD pneumatic LVAD for bridge-to-recovery (BTR). Oxygen uptake kinetics was assessed by fitting a single exponential function to the VO2 response. There was a significant improvement in several key parameters of cardiac performance including peak VO2, VO2 at anaerobic threshold (AT), oxygen kinetics as measured by mean response time (MRT), and oxygen deficit during LVAD support. Oxygen deficiency improved from 0.29 +/- 0.16 ml/kg to 0.16 +/- 0.06 ml/kg (p = 0.023), as did MRT 68 +/- 47.7 seconds to 35.8 +/- 13.3 seconds (p = 0.046) with LVAD support. Improved oxygen kinetics suggests improved peripheral utilization of oxygen, and may offer an additional clinical parameter to predict the likelihood of sustained recovery.

Background The metabolic syndrome is a constellation of risk factors of metabolic origin that are accompanied by increased risk for cardiovascular disease and type 2 diabetes. The two major underlying risk factors for the metabolic syndrome are obesity and insulin resistance. The aim of this study is to study obesity prole, lipid prole, hsCRP, GGTand microalbuminuria in patients with metabolic syndrome and compare with that of healthy controls. Materials and methods Total 100 subjects were taken for the study. 50 were patients of metabolic syndrome and 50 were healthy controls. Patients were examined for the features of metabolic syndrome and complications of obesity, between May 2012 – June 2013. All patients were evaluated by history, clinical examination and relevant investigations. Results Waist circumference, WHR and BMI were proportionately high in patients with metabolic syndrome when compared to healthy controls. Signicant increase in lipid parameters, fasting blood glucose, hsCRP, GGT and microalbuminuria were seen in patients with metabolic syndrome as compared to healthy controls. Conclusion Our study support the growing evidence that waist circumference can serve as a practical screening method for the metabolic risks that often accompany overweight and obesity. The message emerging from this study is how best to dene and screen for metabolic syndrome, considering energy stores on the one hand and health risks on the other.

Background: The association of Serum Uric Acid (SUA) with Lipid Prole is not well studied or little is known so far, although the link between elevated uric acid and metabolic syndrome has been reported in some studies. This study was conducted to establish the relationship between SUA and Lipid Prole among the general adults. Methods: 560 blood samples were collected from general adult participants (male, n = 300 & female, n = 260) were analysed for serum lipid prole (TC, TG, HDL and LDL) and SUA levels. The study subjects were divided by quartiles based on SUA levels (Q1: ≤225 μmol/L, Q2: 226–285 μmol/L, Q3: 286–340 μmol/L and Q4: > 340 μmol/L). Linear regression modelling was used to evaluate the relationship between SUA and Lipid levels. Results: The prevalence of hyperuricemia was 9.2% in males and 10.4% in females. The mean level of SUA was signicantly higher in male (317 ± 90 μmol/L) than in the female (255 ± 65 μmol/L) subjects (p < 0.001). An increasing trend for elevated lipid prole was observed in both genders with increasing levels of SUA in the quartiles (p < 0.05). In regression analysis, a signicant positive correlation was found between SUA and TG, TC and LDL (p < 0.01) while an inverse correlation was observed between SUA and HDL (p < 0.01). After adjusting for potential confounders, lipid prole was linearly associated with SUA levels (p < 0.01 for trend). Conclusions: Lipid parameters (TG, TC, and LDL levels) increases with increase in SUA, whereas HDL decreases with rise in SUA. Cardiovascular risks may be reduced by early prevention of hyperuricemia and dyslipidaemias.

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