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Examples of Economic Evaluation and Cost-Effectiveness Analysis  151




           slightly when compared with clinical dosing. For phenprocoumon, the ICER
           was €28,349 per QALY gained; for acenocoumarol, €24,427 per QALY gained
           was concluded. Even though, at a willingness-to-pay threshold of €20,000 per
           QALY, the pharmacogenetic dosing algorithm was not likely to be cost-effective
           compared with the clinical dosing algorithm, the authors stated that availabil-
           ity of low-cost genotyping would make it a cost-effective option. For typical
           patients with nonvalvural atrial fibrillation, warfarin-related genotyping was
           unlikely to be cost-effective, yet might be cost-effective in those patients being at
           high hemorrhagic risk. Of particular interest is the study of Jowett et al. (2008)
           that focused on the time and traveling costs that patients incur to themselves
           and society in order to attend anticoagulation clinics, especially when taking
           into account that therapy success requires regular monitoring and, frequently,
           dose adjustment. Patients were found to incur considerable costs when visiting
           anticoagulation clinics, and these costs varied by country, ranging from €6.9
           (France) to €20.5 (Portugal) per visit. No doubt, a broad economic perspective
           becomes of fundamental importance when considering the cost-effectiveness
           of warfarin (Verhoef et al., 2012).
           A few studies have investigated alternatives to warfarin for stroke prophylaxis
           in patients with atrial fibrillation, raising the interesting question of whether
           these alternatives are cost-effective (Pink et al., 2014). On the basis of the results
           from randomized evaluation of long-term anticoagulation therapy (RE-LY)
           (Wallentin et al., 2010) and other trials, a decision-analysis model was devel-
           oped to compare the cost and quality-adjusted survival of various antithrom-
           botic therapies (dabigatran, aspirin, and warfarin) (Shah and Gage, 2011). A
           Markov model was run in a hypothetical cohort of 70-year-old patients with
           atrial fibrillation, using a cost-effectiveness threshold of $50,000/QALY. Dabi-
           gatran 150 mg (twice daily) was found to be cost-effective in patient popula-
           tions at high risk of hemorrhage or stroke, unless INR control with warfarin
           was excellent. Warfarin was cost-effective in moderate-risk patient populations,
           unless INR control was poor. Nevertheless, neither dabigatran nor rivaroxaban
           were cost-effective options when relative risks of clinical events served as inputs
           to an economic analysis, following a clinical trial simulation of warfarin. Along
           the cost-effectiveness frontier, apixaban was the most cost-effective treatment.
           Interestingly  enough,  O’Brien  and  Gage  (2005)  compared  quality-adjusted
           survival and cost among ximelagatran, warfarin, and aspirin for patients with
           chronic atrial fibrillation. According to their Semi-Markov decision model
           findings and assuming equal effectiveness in stroke prevention and decreased
           hemorrhage risk, ximelagatran was not likely to be cost-effective in patients
           with atrial fibrillation, unless they had a high risk of intracranial hemorrhage
           or a low quality of life with warfarin. On the basis of head-to-head evidence
           from randomized controlled trials, the cost-utility of eprosartan versus enala-
           pril (primary prevention) and versus nitrendipine (secondary prevention) has
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