Cobos A, Jovell A J, García-Altés A, García-Closas R, Serra-Majem L
Novartis Farmaceutica, SA, Barcelona, Spain.
Clin Ther. 1999 Nov;21(11):1924-36. doi: 10.1016/S0149-2918(00)86740-5.
A review of the cost-effectiveness literature indicated that the hydroxymethylglutaryl coenzyme A-reductase inhibitor fluvastatin is more cost-effective for achieving minor-to-moderate reductions in low-density lipoprotein cholesterol (LDL-C) levels than 3 other statins: lovastatin, pravastatin, and simvastatin. The main goal of this study was to verify the applicability of these conclusions to Spanish health care costs and patterns of resource consumption related to the treatment of hypercholesterolemia. A stochastic simulation model was used to predict both the costs and effects of treating high-risk hypercholesterolemic patients with fluvastatin, lovastatin, pravastatin, or simvastatin. Epidemiologic data were used to find a suitable theoretic probability distribution model for baseline LDL-C values in high-risk hypercholesterolemic patients. The model was then used to generate 10,000 random observations of baseline LDL-C values; the corresponding LDL-C values after a 2-year treatment period were predicted as a function of the baseline value and the percentage reduction expected with a particular statin and dose, according to the results obtained in 2 meta-analyses. The probability of treatment discontinuation was also taken into account using estimates obtained in usual practice. The effects of treatment were expressed as the rate of success in achieving the goal level of LDL-C, as defined in the current Spanish recommendations for the treatment of hypercholesterolemia. The average costs of treatment were computed from both the social and public-financing perspectives, including the cost of lipid-lowering drugs, physician visits, laboratory tests, and days off work, as appropriate. The occurrence of nonscheduled visits and workdays lost because of side effects were taken into account to compute indirect costs relevant to the social perspective. The potential costs of treating side effects were ignored. A cost-effectiveness analysis was performed to compare the cost-effectiveness ratios obtained with each of the 4 statins considered in this study. Model-based predictions of the effects, total costs, and cost-effectiveness ratios were made. Cost-effectiveness ratios were interpreted as the cost per patient meeting the goal of therapy, according to current Spanish recommendations. The data showed that fluvastatin had the lowest cost-effectiveness ratios when LDL-C levels required reduction to < or =25% of baseline levels. In this situation, fluvastatin was more cost-effective than lovastatin, pravastatin, or simvastatin from public-financing and social perspectives.
对成本效益文献的回顾表明,与其他3种他汀类药物(洛伐他汀、普伐他汀和辛伐他汀)相比,羟甲基戊二酰辅酶A还原酶抑制剂氟伐他汀在使低密度脂蛋白胆固醇(LDL-C)水平实现轻度至中度降低方面更具成本效益。本研究的主要目的是验证这些结论对西班牙医疗保健成本以及与高胆固醇血症治疗相关的资源消耗模式的适用性。使用随机模拟模型预测用氟伐他汀、洛伐他汀、普伐他汀或辛伐他汀治疗高危高胆固醇血症患者的成本和效果。利用流行病学数据为高危高胆固醇血症患者的基线LDL-C值找到合适的理论概率分布模型。然后使用该模型生成10000个基线LDL-C值的随机观测值;根据两项荟萃分析的结果,将2年治疗期后的相应LDL-C值预测为基线值以及特定他汀类药物和剂量预期降低百分比的函数。还使用常规实践中的估计值考虑了治疗中断的概率。治疗效果表示为达到当前西班牙高胆固醇血症治疗建议中定义的LDL-C目标水平的成功率。从社会和公共融资角度计算治疗的平均成本,包括降脂药物成本、医生诊疗费用、实验室检查费用以及酌情计算的误工天数。计算与社会角度相关的间接成本时考虑了因副作用导致的非计划就诊和误工天数。忽略了治疗副作用的潜在成本。进行成本效益分析以比较本研究中考虑的4种他汀类药物各自获得的成本效益比。对效果、总成本和成本效益比进行基于模型的预测。根据当前西班牙建议,成本效益比被解释为达到治疗目标的每位患者的成本。数据显示,当LDL-C水平需要降低至基线水平的≤25%时,氟伐他汀的成本效益比最低。在这种情况下,从公共融资和社会角度来看,氟伐他汀比洛伐他汀、普伐他汀或辛伐他汀更具成本效益。