Comparative study of efficacy and safety of omega 3 fatty acids and fenofibrate with background atorvastatin therapy in patients of atherogenic dyslipidaemia

Background: Trials of atorvastatin combined either with fenofibrate or with omega-3 fatty acids (O3FA) have shown promising results in atherogenic dyslipidemia but there are very few studies where both these TGs lowering agents have been compared with each other. This study was conducted to compare efficacy and safety of these two agents on lipid profile of patients of atherogenic dyslipidaemia on background statin therapy and also to monitor effects of these interventions on serum uric acid (SUA) levels.Methods: About 90 patients of dyslipidemia were randomised to 3 groups and received O3FA (2000 mg), fenofibrate (80 mg) or dietary restrictions, each with atorvastatin (20 mg) in background for a period of 90 days. Total cholesterol (TC), HDL-C,TGs, LDL-C, SGOT and SGPT levels were done at baseline, 6 weeks and 12 weeks. Other parameters (SUA and BMI) were done at baseline and 12 weeks.Results: Both group 1 (O3FA) and group 2 (fenofibrate) showed highly significant fall in TG levels (p <0.001) in comparison to group 3 (dietary restrictions) whereas comparative TG reduction between groups 1 and group 2 was not significant. Group 2 also showed significant fall in LDL-C levels (p <0.01) in comparison to group 3. LDL-C reduction, TG reduction and SUA reduction was more in group 2 compared to group 1 followed by group 3. No significant difference was observed in the incidence of adverse effects in three study groups.Conclusions: Combination of fenofibrate and atorvastatin was more effective than that of omega-3 fatty acid and atorvastatin, in lowering serum TG and LDL-C levels. There was a significant reduction in SUA levels in all three groups, but combination of fenofibrate and atorvastatin again showed better outcomes. With respect to the safety, all the 3 groups were comparable. O3FA, however, may be a good alternative to fibrates in patients not tolerating latter

Experiments on the DCASE Challenge 2016: Acoustic Scene Classification and Sound Event Detection in Real Life Recording

In this paper we present our work on Task 1 Acoustic Scene Classi- fication and Task 3 Sound Event Detection in Real Life Recordings. Among our experiments we have low-level and high-level features, classifier optimization and other heuristics specific to each task. Our performance for both tasks improved the baseline from DCASE: for Task 1 we achieved an overall accuracy of 78.9% compared to the baseline of 72.6% and for Task 3 we achieved a Segment-Based Error Rate of 0.76 compared to the baseline of 0.91