OBJECTIVES: To estimate the long-term impact of treatment with perindopril on costs and health effects in patients with stable coronary artery disease in Poland. METHODS: The cost-effectiveness analysis was based on data from a randomized double-blind, placebo-controlled trial. A decision-tree analysis was employed, including Monte Carlo and bootstrapping techniques. This study was a sub-study of the EUROPA (European Trial on Reduction of Cardiac Events with Perindopril in Stable Coronary Artery Disease) trial (n = 12,218; mean follow-up 4.2 years). Resource use was based on data from Polish EUROPA study patients (n = 1251), while effectiveness was based on the whole EUROPA study. The health gain of perindopril in life-years was based on overall EUROPA study results, and the adapted Polish life expectancy of patients not dying during the trial. Costs were calculated in new Polish zloty (PLN), year 2003 values; euro1 = PLN4.053. Only direct healthcare costs related to cardiovascular events and medication use were studied. RESULTS: When observed mortality was combined with life expectancy beyond the end of the study, perindopril use showed a gain in life expectancy of 0.182 life-years (SD +/- 0.129) at a cost of PLN1983 (SD +/- 103) with discounting of 5% per annum on costs and no discounting on effects. This resulted in an incremental cost-effectiveness ratio (ICER) of PLN10 896 per life-year gained. The probability that the ICER for perindopril was below the threshold of PLN60 000 was 88%. The overall results were insensitive to discount rates for costs and life-years. CONCLUSIONS:Perindopril leads to a reduction in the risk of coronary events among patients with stable heart disease. When the expected improvement in life expectancy is combined with associated medical costs, there is a high probability that perindopril is cost effective, given the threshold of PLN60 000 per life-year gained.
RCT Entities:
OBJECTIVES: To estimate the long-term impact of treatment with perindopril on costs and health effects in patients with stable coronary artery disease in Poland. METHODS: The cost-effectiveness analysis was based on data from a randomized double-blind, placebo-controlled trial. A decision-tree analysis was employed, including Monte Carlo and bootstrapping techniques. This study was a sub-study of the EUROPA (European Trial on Reduction of Cardiac Events with Perindopril in Stable Coronary Artery Disease) trial (n = 12,218; mean follow-up 4.2 years). Resource use was based on data from Polish EUROPA study patients (n = 1251), while effectiveness was based on the whole EUROPA study. The health gain of perindopril in life-years was based on overall EUROPA study results, and the adapted Polish life expectancy of patients not dying during the trial. Costs were calculated in new Polish zloty (PLN), year 2003 values; euro1 = PLN4.053. Only direct healthcare costs related to cardiovascular events and medication use were studied. RESULTS: When observed mortality was combined with life expectancy beyond the end of the study, perindopril use showed a gain in life expectancy of 0.182 life-years (SD +/- 0.129) at a cost of PLN1983 (SD +/- 103) with discounting of 5% per annum on costs and no discounting on effects. This resulted in an incremental cost-effectiveness ratio (ICER) of PLN10 896 per life-year gained. The probability that the ICER for perindopril was below the threshold of PLN60 000 was 88%. The overall results were insensitive to discount rates for costs and life-years. CONCLUSIONS:Perindopril leads to a reduction in the risk of coronary events among patients with stable heart disease. When the expected improvement in life expectancy is combined with associated medical costs, there is a high probability that perindopril is cost effective, given the threshold of PLN60 000 per life-year gained.
Authors: Shelby D Reed; Kevin J Anstrom; Ameet Bakhai; Andrew H Briggs; Robert M Califf; David J Cohen; Michael F Drummond; Henry A Glick; Ari Gnanasakthy; Mark A Hlatky; Bernie J O'Brien; Frank M Torti; Anastasios A Tsiatis; Andrew R Willan; Daniel B Mark; Kevin A Schulman Journal: Am Heart J Date: 2005-03 Impact factor: 4.749
Authors: Andrew Briggs; Borislava Mihaylova; Mark Sculpher; Alistair Hall; Jane Wolstenholme; Maarten Simoons; Jaap Deckers; Roberto Ferrari; Willem J Remme; Michel Bertrand; Kim Fox Journal: Heart Date: 2006-11-29 Impact factor: 5.994
Authors: S Yusuf; C J Pepine; C Garces; H Pouleur; D Salem; J Kostis; C Benedict; M Rousseau; M Bourassa; B Pitt Journal: Lancet Date: 1992-11-14 Impact factor: 79.321
Authors: J D Rutherford; M A Pfeffer; L A Moyé; B R Davis; G C Flaker; P R Kowey; G A Lamas; H S Miller; M Packer; J L Rouleau Journal: Circulation Date: 1994-10 Impact factor: 29.690
Authors: Amir Shroufi; Rajiv Chowdhury; Raghupathy Anchala; Sarah Stevens; Patricia Blanco; Tha Han; Louis Niessen; Oscar H Franco Journal: BMC Public Health Date: 2013-03-28 Impact factor: 3.295