BACKGROUND: Decision makers in the field of health services are increasingly forced to identify and realise the grounds for spendings and savings. Therefore, preventive measures of cardiovascular diseases are becoming more and more scrutinized. The present analysis is answering the question: Is secondary preventive lipid-lowering therapy with a cholesterol-synthesis-enzyme-(CSE-)inhibitor in patients with manifest coronary heart disease cost-effective in comparison to other already proven medical interventions? METHODS: The cost-effectiveness-analysis with the endpoint costs per life years saved had been chosen as a form of evaluation. The study is a retrospective analysis. The clinical data have been taken from the already published double blinded, randomised, placebo controlled PLAC-I- and -II-studies as well as from the PLAC-Meta-Analysis. The cost estimate (costs of myocardial infarction, stroke and cost therapy with pravastatin) were based on the perspective of the German statutory sick funds. RESULTS: With the reduced probability of a fatal myocardial infarction or a stroke in the group treated with pravastatin there are cost offsets of DM 2,400. This figure is opposed to an additional expenditure of about DM 6,900, -for the CSE-inhibitor. The calculation of the effectiveness resulted in an additional life expectancy of 0.28 years in the pravastatin cohorts in comparison with the group treated with placebo over an observation period of 3 years. The costs per life year saved are approximately DM 16,000,-. CONCLUSION: The preventive use of pravastatin in patients with coronary heart disease can be estimated as cost-effective as compared with other medical interventions.
BACKGROUND: Decision makers in the field of health services are increasingly forced to identify and realise the grounds for spendings and savings. Therefore, preventive measures of cardiovascular diseases are becoming more and more scrutinized. The present analysis is answering the question: Is secondary preventive lipid-lowering therapy with a cholesterol-synthesis-enzyme-(CSE-)inhibitor in patients with manifest coronary heart disease cost-effective in comparison to other already proven medical interventions? METHODS: The cost-effectiveness-analysis with the endpoint costs per life years saved had been chosen as a form of evaluation. The study is a retrospective analysis. The clinical data have been taken from the already published double blinded, randomised, placebo controlled PLAC-I- and -II-studies as well as from the PLAC-Meta-Analysis. The cost estimate (costs of myocardial infarction, stroke and cost therapy with pravastatin) were based on the perspective of the German statutory sick funds. RESULTS: With the reduced probability of a fatal myocardial infarction or a stroke in the group treated with pravastatin there are cost offsets of DM 2,400. This figure is opposed to an additional expenditure of about DM 6,900, -for the CSE-inhibitor. The calculation of the effectiveness resulted in an additional life expectancy of 0.28 years in the pravastatin cohorts in comparison with the group treated with placebo over an observation period of 3 years. The costs per life year saved are approximately DM 16,000,-. CONCLUSION: The preventive use of pravastatin in patients with coronary heart disease can be estimated as cost-effective as compared with other medical interventions.
Authors: T Ashraf; J W Hay; B Pitt; E Wittels; J Crouse; M Davidson; C D Furberg; L Radican Journal: Am J Cardiol Date: 1996-08-15 Impact factor: 2.778
Authors: D B Mark; M A Hlatky; R M Califf; C D Naylor; K L Lee; P W Armstrong; G Barbash; H White; M L Simoons; C L Nelson Journal: N Engl J Med Date: 1995-05-25 Impact factor: 91.245
Authors: R P Byington; J W Jukema; J T Salonen; B Pitt; A V Bruschke; H Hoen; C D Furberg; G B Mancini Journal: Circulation Date: 1995-11-01 Impact factor: 29.690
Authors: Ching-Yun Wei; Ruben G W Quek; Guillermo Villa; Shravanthi R Gandra; Carol A Forbes; Steve Ryder; Nigel Armstrong; Sohan Deshpande; Steven Duffy; Jos Kleijnen; Peter Lindgren Journal: Pharmacoeconomics Date: 2017-03 Impact factor: 4.981