Comparison of the effect of the hipocolesteromiante treatment of the atorvastatin, with the combination atorvastatina-policosanol as well as the possible action on the state oxiation - redution, in patient with vascular affections in lower limbs

It has been shown that a decrease in the concentrations of total cholesterol and LDL-col by diets and drugs reduces the peripheral vascular disease risk. Policosanol and Atorvastatin have shown they are capable of reducing both parameters in type II hypercholesterolemia. Some of the steps in the mechanism of action of these drugs are different and could show results sums, when we used in combination. They also show a pleiotropic effect given by its general antioxidant action on lipid peroxidation. OBJECTIVES. To compare the effect of treatment with the combination with Atorvastatin and Atorvastatin - Policosanol n cholesterol concentrations of atherogenic lipoproteins, and the possible antioxidant action. PATIENTS AND METHODS. We studied 104 patients of both sexes in a range of ages between 40 and 60 years. It was taken as a criterion for inclusion Col-LDL levels above 3.3 mmol/L. Patients were randomly distributed into two groups (one treated with Atorvastatin and the other with Atorvastatin + Policosanol). Measurements were made of serum lipoproteins, and hemodynamic studies and oxidative stress before and after three months of treatment. RESULTS. Was found when comparing the groups among themselves, a decrease (p <0.05) in the values of T Col, Col-LDL, TG, VLDL and RAC. Average values were lower (p <0.05) from Col-LDL in the group treated with the combination of both drugs, as well as variations in the parameters which measure oxidative stress ( GSH (p <0.05) increased and MDA decreased). CONCLUSION. The combination of Policosanol and Atorvastatin in the treatment of hypercholesterolemic patients offers better results than using each separately (AU)

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MART: a multichannel ART-based neural network.

This paper describes MART, an ART-based neural network for adaptive classification of multichannel signal patterns without prior supervised learning. Like other ART-based classifiers, MART is especially suitable for situations in which not even the number of pattern categories to be distinguished is known a priori; its novelty lies in its truly multichannel orientation, especially its ability to quantify and take into account during pattern classification the different changing reliability of the individual signal channels. The extent to which this ability can reduce the creation of spurious or duplicate categories (a major problem for ART-based classifiers of noisy signals) is illustrated by evaluation of its performance in classifying QRS complexes in two-channel ECG traces which were taken from the MIT-BIH database and contaminated with noise.