Bayesian statistic methods and theri application in probabilistic simulation models
DOI:
https://doi.org/10.7175/fe.v7i1.687Keywords:
Fluvastatin extended-release (RP) 80 mg formulation, Cardiovascular disease, HypercholesterolemiaAbstract
Significant advances in the management of hypercholesterolemia have been made possible by the development of statins, 3-hydroxy-3-methylglutaryl coenzyme A (HMG CoA) reductase inhibitors. More recently, statins have demonstrated benefit in primary and secondary prevention of cardiovascular disease also in patients without hypercholesterolemia. Therefore statins help to reduce the impact of cardiovascular disease on morbility, mortality and social costs. Statins inhibit HMG-CoA reductase competitively, reduce LDL levels more than other cholesterol-lowering drugs, and lower triglyceride levels in hypertriglyceridemic patients. Prescribing statins as first line therapy in management of hypercholesterolemia as a part of a more comprehensive prevention program of cardiovascular disease is widely recommended by international guidelines (e.g. National Cholesterol Education Program - NCEP - Adult Treatment Panel - ATP- III reports). Currently in Italy there are five available statins: atorvastatin, fluvastatin, pravastatin, rosuvastatin and simvastatin; each of them presents some differences in physical and chemical characteristics (solubility), pharmacokinetics (absorption, proteic binding, metabolism and excretion) and pharmacodinamics (pleiotropic effects). Compared to other statins, fluvastatin extended-release (RP) 80 mg provides an equal efficacy in lowering total cholesterol and low-density lipoprotein cholesterol (LDL-C), with an important action on triglyceride (TG) levels and superior increases in HDL-C levels, reducing the incidence of major adverse cardiac events (MACE). Aim of this study is to outline an updated therapeutic and pharmacoeconomic profile of fluvastatin, particularly regarding extended-release (RP) 80 mg formulation.Downloads
Published
2006-03-15
How to Cite
Zaniolo, O., & Eandi, M. (2006). Bayesian statistic methods and theri application in probabilistic simulation models. Farmeconomia. Health Economics and Therapeutic Pathways, 7(1), 21–35. https://doi.org/10.7175/fe.v7i1.687
Issue
Section
Brief drug profile
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