From the Division of Pharmaceutical Evaluation and Policy, University of Arkansas for Medical Sciences, Little Rock.
Stroke. 2016 Jun;47(6):1555-61. doi: 10.1161/STROKEAHA.115.012325. Epub 2016 Apr 21.
The objective of the study is to compare the cost-effectiveness of oral anticoagulants among atrial fibrillation patients at an increased stroke risk.
A Markov model was constructed to project the lifetime costs and quality-adjusted survival (QALYs) of oral anticoagulants using a private payer's perspective. The distribution of stroke risk (CHADS2 score: congestive heart failure, hypertension, advanced age, diabetes mellitus, stroke) and age of the modeled population was derived from a cohort of commercially insured patients with new-onset atrial fibrillation. Probabilities of treatment specific events were derived from published clinical trials. Event and downstream costs were determined from the cost of illness studies. Drug costs were obtained from 2015 National Average Drug Acquisition Cost data.
In the base case analysis, warfarin was the least costly ($46 241; 95% CI, 44 499-47 874) and apixaban had the highest QALYs (9.38; 95% CI, 9.24-9.48 QALYs). Apixaban was found to be a cost-effective strategy over warfarin (incremental cost-effectiveness ratio=$25 816) and dominated other anticoagulants. Probabilistic sensitivity analysis showed that apixaban had at least a 61% chance of being the most cost-effective strategy at willingness to pay value of $100 000 per QALY. Among patients with CHADS2 ≥3, dabigatran was the dominant strategy. The model was sensitive to efficacy estimates of apixaban, dabigatran, and edoxaban and the cost of these drugs.
All the newer oral anticoagulants compared were more effective than adjusted dosed warfarin. Our model showed that apixaban was the most effective anticoagulant in a general atrial fibrillation population and has an incremental cost-effectiveness ratio <$50 000/QALY. For those with higher stroke risk (CHADS2≥3), dabigatran was the most cost-effective treatment option.
本研究旨在比较伴有较高卒中风险的房颤患者中口服抗凝剂的成本效益。
采用马尔可夫模型,从商业保险新诊断房颤患者队列中获得卒中风险(CHADS2 评分:充血性心力衰竭、高血压、高龄、糖尿病、卒中)和模型人群年龄的分布,从私人支付者的角度预测口服抗凝剂的终生成本和质量调整生存(QALY)。特定治疗事件的概率源自已发表的临床试验。事件和下游成本来自疾病成本研究。药物成本来自 2015 年全国平均药物采购成本数据。
在基础分析中,华法林的成本最低(46241 美元;95%CI:44499-47874 美元),阿哌沙班的 QALY 最高(9.38;95%CI:9.24-9.48 QALY)。阿哌沙班优于华法林(增量成本效益比=25816 美元),且优于其他抗凝药物,具有成本效益。概率敏感性分析表明,在支付意愿值为 10 万美元/QALY 时,阿哌沙班具有至少 61%的可能性成为最具成本效益的策略。在 CHADS2≥3 的患者中,达比加群是主要的治疗策略。该模型对阿哌沙班、达比加群和依度沙班的疗效估计以及这些药物的成本较为敏感。
与调整剂量的华法林相比,所有新型口服抗凝剂均更有效。我们的模型表明,阿哌沙班在一般房颤人群中是最有效的抗凝药物,增量成本效益比<5 万美元/QALY。对于卒中风险较高(CHADS2≥3)的患者,达比加群是最具成本效益的治疗选择。