Literature DB >> 23882153

Cost-effectiveness of bazedoxifene versus raloxifene in the treatment of postmenopausal women in Spain.

Josep Darbà1, Nuria Pérez-Álvarez, Lisette Kaskens, Susana Holgado-Pérez, Jill Racketa, Javier Rejas.   

Abstract

BACKGROUND: The purpose of this study was to assess the cost-effectiveness of bazedoxifene and raloxifene for prevention of vertebral and nonvertebral fractures among postmenopausal Spanish women aged 55-82 years with established osteoporosis and a high fracture risk.
METHODS: A Markov model was developed to represent the transition of a cohort of postmenopausal osteoporotic women through different health states, ie, patients free of fractures, patients with vertebral or nonvertebral fractures, and patients recovered from a fracture. Efficacy data for bazedoxifene were obtained from the Osteoporosis Study. The perspective of the Spanish National Health Service was chosen with a time horizon of 27 years. Costs were reported in 2010 Euros. Deterministic results were presented as expected cost per quality-adjusted life-year (QALY), and probabilistic results were represented in cost-effectiveness planes.
RESULTS: In deterministic analysis, the expected cost per patient was higher in the raloxifene cohort (€13,881) than in the bazedoxifene cohort (€13,436). QALYs gained were slightly higher in the bazedoxifene cohort (14.56 versus 14.54). Results from probabilistic sensitivity analysis showed that bazedoxifene has a slightly higher probability of being cost-effective for all threshold values independent of the maximum that the National Health Service is willing to pay per additional QALY.
CONCLUSION: Bazedoxifene was shown to be a cost-effective treatment option for the prevention of fractures in Spanish women with postmenopausal osteoporosis and a high fracture risk. When comparing bazedoxifene with raloxifene, it may be concluded that the former is the dominant strategy.

Entities:  

Keywords:  bazedoxifene; costs; efficacy; fracture; nonvertebral; osteoporosis; raloxifene; vertebral

Year:  2013        PMID: 23882153      PMCID: PMC3709644          DOI: 10.2147/CEOR.S42755

Source DB:  PubMed          Journal:  Clinicoecon Outcomes Res        ISSN: 1178-6981


Introduction

Osteoporosis is a frequently occurring disease in postmenopausal women, characterized by low bone mass and microarchitectural deterioration of bone tissue, resulting in increased bone fragility and fracture risk.1,2 Osteoporotic fractures commonly occur at the hip, spine, and forearm, with vertebral fractures being the most frequent.3 Of all patients who sustain a vertebral fracture, it is estimated that 20% will suffer a new vertebral fracture within 1 year.4 Of all osteoporotic fractures, hip fractures are the most serious, with an elevated mortality risk as well as a high hospital burden in Spain.5 Osteoporosis has been a growing economic issue due to the increased number of fractures during the last 20 years, combined with the development of novel agents for the prevention and treatment of osteoporosis.6 Aside from the economic consequences, osteoporosis also has a negative impact on quality of life for the affected individual.7 The high impact of these socioeconomic consequences makes osteoporosis a high priority health problem. Over the last decade, various new treatments for the prevention of osteoporotic fractures have been developed and approved. Although existing therapies for postmenopausal osteoporosis have been shown to be effective, they may not be appropriate for all women because of concerns related to safety and/or tolerability.8,9 One of the currently available therapies is raloxifene, a selective estrogen receptor modulator (SERM) that has been shown to reduce the risk of vertebral fractures in postmenopausal women.10 Another selective estrogen receptor modulator, bazedoxifene, has been shown to prevent bone loss and to decrease bone turnover, with a favorable endometrial, ovarian, and breast safety profile in a 2 year, Phase III study of postmenopausal women at risk for osteoporosis.11–13 A 3 year, global Phase III study in osteoporotic women aged 55 years, ie, the Osteoporosis Study,14 compared bazedoxifene with placebo and raloxifene. Bazedoxifene and raloxifene both reduced the risk of new vertebral fractures compared with placebo. In a post hoc subgroup analysis of patients at higher risk, bazedoxifene significantly reduced the risk of nonvertebral fractures compared with placebo and raloxifene.14 Higher-risk patients were defined as women with a femoral neck T score ≤–3.0 and/or at least a moderate to severe vertebral fracture or multiple mild vertebral fractures. Many participants in the Osteoporosis Study participated in a 2 year extension study in which bazedoxifene showed sustained efficacy in preventing fractures over 5 years of therapy.15 Approximately two million women were estimated to have osteoporosis in Spain in 2010.16 It is important to evaluate both clinical and economic implications with the introduction of a new treatment, given that treating this population is associated with a high socioeconomic burden. Clinical aspects are normally investigated in clinical trials within a controlled setting and a limited time frame. In the case of osteoporosis, economic modeling is necessary to study the long-term consequences of fracture risk reduction beyond the time frames of clinical trials. In Spain, several studies have investigated the socioeconomic impact of treatment of osteoporosis to the Spanish National Health Service, as well as for patients.17–20 Cost-effectiveness analyses of osteoporosis vary considerably between countries.18 Different tools are being used to estimate fracture risk, which can significantly impact the cost-effectiveness of treatment. A recent cost-effectiveness analysis comparing bazedoxifene with placebo used the FRAX® tool (World Health Organization Collaborating Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK) that provides fracture probabilities for specific populations.18 Although FRAX can be used to predict the probability of hip or other major osteoporotic fractures, the criteria should not be generalized to other countries having different fracture incidence rates and health care costs.21 Therefore, when comparing the cost-effectiveness of bazedoxifene with raloxifene in Spanish women with osteoporosis, it is important to take into account that the incidence of fractures is different between southern European countries and countries in the Scandinavian region.22,23 The objective of this study was to compare the cost-effectiveness of bazedoxifene and raloxifene in the prevention of vertebral and nonvertebral fractures in women diagnosed with osteoporosis. The analysis is based on the Osteoporosis Study14 and applied to the Spanish setting.

Materials and methods

Model specifications

The computer simulation model in Microsoft® (Microsoft Corporation, Redmond, WA , USA) Excel used to calculate cost-effectiveness was an updated Markov model that has been used previously to estimate the cost-effectiveness of bazedoxifene incorporating the FRAX algorithm from a European perspective.18 The model represented the transition of a cohort of postmenopausal women with osteoporosis and aged 55 years through various health states with occurrence of events based on yearly probabilities. The starting age was based on women recruited for a 3 year clinical study of bazedoxifene.14 The analysis was performed from the health care perspective, following all patients from initiation of treatment until they were 82 years of age and had received bazedoxifene or raloxifene for this 27-year time period. It was assumed that no patient discontinued treatment because of adverse effects. The model consisted of six health states. All patients began in the “well health” or “no event state”. In each cycle, a patient had a probability of sustaining a fracture, remaining healthy, or dying. After 1 year in any fracture state, the patient had a risk of sustaining a new fracture or dying. If a patient died, she would move to the dead-health state and remain there for the rest of the simulation. After 1 year, the patient moved to the corresponding post-fracture state if no additional fracture occurred. The patient would automatically remain in the post-fracture state (shown as a circular arrow in Figure 1) if she did not die or sustain a new fracture. Fractures could be vertebral or nonvertebral, with half consisting of hip fractures and half consisting of wrist fractures. After a nonvertebral fracture, it was possible to sustain a vertebral fracture or another nonvertebral fracture.
Figure 1

Graphic representation of the model.

Target patient groups, efficacy, and side effects

The Osteoporosis Study14 was a 3-year, randomized, doubleblind, placebo-controlled and active-controlled trial including 7,492 healthy postmenopausal osteoporotic women aged 55–82 years. All women were at least 2 years postmenopausal and had osteoporosis. Osteoporosis was defined as low bone mineral density with a T score between −2.5 and −4.0, or radiographically confirmed vertebral fractures and lumbar spine and femoral neck bone mineral density T scores not worse than −4.0. Women were excluded if they had diseases that may affect bone metabolism, conditions that could interfere with bone mineral densitometry, pathologic vertebral fractures, vasomotor symptoms requiring treatment, or serious conditions (endometrial hyperplasia or carcinoma, abnormal vaginal bleeding, malignancy within 10 years of the study, endocrine disorders requiring treatment, or untreated malabsorption disorders). Women with an active or past history of deep vein thrombosis, pulmonary embolism, or retinal vein thrombosis were also excluded, as were subjects with elevated fasting total cholesterol or triglyceride levels (≥310 mg/dL or ≥300 mg/dL, respectively). Use of androgens, systemic estrogen (except for estriol 2.0 mg/day), topical estrogen (more than three times per week), progestagens, selective estrogen receptor modulators, bisphosphonates, calcitonin, parathyroid hormone, and cholecalciferol (>50,000 IU/week) was prohibited within 6 months of screening. Subjects were assigned to treatment using a computerized randomization/enrolment system, which assigned unique randomization and package numbers. Randomization was stratified by prevalent vertebral fracture status to ensure a similar distribution of subjects with and without vertebral fractures across the treatment groups. The study was conducted in accordance with the ethical principles of the Declaration of Helsinki and was approved by the clinical ethics research committee or institutional review board at each institution. Patients were randomly assigned to each treatment group and received at least one dose of study medication, ie, bazedoxifene 20 mg daily (n = 1886), bazedoxifene 40 mg daily (n = 1872), raloxifene 60 mg daily (n = 1849), or placebo (n = 1885) for 36 months. From the total number of eligible patients, the proportion of patients completing the study was 66% for those receiving bazedoxifene 20 mg or 40 mg daily, 68% for those receiving bazedoxifene 60 mg daily, and 67% for those receiving placebo. Approximately 56% of participants in each treatment group had at least one vertebral fracture at baseline, and the majority had one mild vertebral fracture. The base-case populations in this study for the comparison of bazedoxifene and raloxifene were based on a subgroup of high-risk patients with a T score ≤−3.0 or at least one moderate fracture or multiple mild vertebral fractures. Patients receiving bazedoxifene 20 mg daily or raloxifene 60 mg daily were compared. For osteoporotic patients without fractures, a relative risk reduction for vertebral fractures of 35% (95% confidence interval [CI] 0.32–1.30) was seen in patients treated with bazedoxifene versus 41% (95% CI 0.29–1.21) for those treated with raloxifene (Table 1). Relative risk reductions were 45% (95% CI 0.32–0.94) for bazedoxifene versus 43% (95% CI 0.34–0.97) for raloxifene in patients with previous vertebral fractures (Table 1). No differences in the incidence of nonvertebral fractures were observed between either treatment in women without prior fractures, although the reduced relative risk in high-risk patients with previous fractures was 46% with bazedoxifene and 8% with raloxifene.
Table 1

Transition probabilities for bazedoxifene 20 mg/day and raloxifene 60 mg/day

BazedoxifeneWellVertebral fractureNonvertebral fractureHealthy nonvertebral fractureHealthy nonvertebral fractureDead
Well0.94479a0.00901b,c0.024b,d000.022e
Vertebral fracture0000.9768120a00.023188e
Nonvertebral fracture000.1384667b,f00.8351333a0.0264g
Healthy vertebral fracture00.0275706b,h0.1986292b,i0.7506122a00.023188j
Healthy nonvertebral fracture00.0103615b0.0528313h00.9126072a0.0242k
Dead000001
RaloxifeneWell
Well0.944994a0.008806b,c0.024b,d000.022e
Vertebral fracture0000.9768120a00.023188e
Nonvertebral fracture000.1897467b,f00.7838533a0.0264g
Healthy vertebral fracture00.0271577b,h0.2287228b,i0.7209315a00.023188j
Healthy nonvertebral fracture00.0100682b0.0608356h00.90489624a0.0242k
Dead000001

Notes:

Residual probability

Silverman et al14

Felsenberg et al23

Marin et al24

Ministerio de Sanidad, Política Social e Igualdad (MSPI)25

Christodoulou and Cooper45

Sociedad Navarra de Medicina de Familia y Atención Primaria. Documento para el Manejo de la Osteoporosis en Atención Primaria (SNAMFAP)27

Sociedad Española de Investigaciones Óseas y Metabolismo Mineral (SEIOMM)7

Naves et al46

Agència d′Informació, Avaluació i Qualitat en Salut. (AIAQS)26

Borgstrom et al33. All probabilities without notes are based on assumption.

Bazedoxifene and raloxifene were associated with a number of adverse events, including leg cramps, venous thrombolytic events such as deep vein thrombosis, and breast cysts/fibrocystic breast disease.14 To account for these adverse events, costs and utilities for each health state were corrected based on their incidences. The incidence of leg cramps was significantly different between the groups, with an incidence of 10.9% on bazedoxifene versus 11.7% on raloxifene (P < 0.01). The incidence of deep vein thrombosis was 0.4% in both groups and the incidence of breast cysts/fibrocystic breast disease was 0.7 in the bazedoxifene group and 1.7% in the raloxifene group (P < 0.05).

Incidence and fracture risk

Country-specific and age-specific normal population incidences were used when possible. A vertebral fracture can be classified as a clinical fracture (ie, symptomatic fractures that come to clinical attention) or as a morphometric fracture, which includes all fractures, both symptomatic and asymptomatic. The morphometric definition of a fracture was used for this study because it provided more specific incidence data, with an age-standardized incidence ratio of 10.2 (95% CI 4.7–15.7) per 1000 habitants for the female southern European population because clinical fracture data were lacking.23 Incidence rates for nonvertebral fractures (ratio 24.2 [95% CI 21.70–26.70]) nonvertebral fractures per 1,000 female inhabitants) were obtained from Marín et al24 and consisted mostly of wrist fractures (36.7%) and hip fractures (14.9%). Population fracture incidence rates were adjusted to reflect the risk in each treatment group. The probability of having a new fracture, a second fracture, or remaining healthy was determined by the relative risk of vertebral or nonvertebral fractures affected by treatment with bazedoxifene or raloxifene based on the Osteoporosis Study14 (Table 1).

Mortality

Age-specific normal population mortality rates were obtained from the Spanish National Statistics Agency.25 These were adjusted in the model to take into account mortality associated with fractures.18 In this analysis, we derived estimates of the excess mortality after vertebral fractures from a study based on Spanish patients which showed an increase in mortality of 20%–34% within 5 years of the fracture.26 The relative risk in the year after a vertebral fracture was estimated at 5.4 and was similar in subsequent years. The relative risk of mortality in the year after a nonvertebral fracture was 20.27 The relative risk of excess mortality in the years subsequent to a nonvertebral fracture were estimated at 30, mostly attributable to hip fractures, although there are studies which claim there is little or no relationship between comorbid conditions and post-fracture mortality.17 Based on this study, a relative risk of 10 was assumed for patients who sustained a nonvertebral fracture in subsequent years, because these not only included hip fractures but also wrist fractures.

Quality of life

Utility weights were derived from a global longitudinal study of 57,141 postmenopausal osteoporotic women aged 55 years and older that examined health-related quality of life in women who sustained fractures and the effect of fracture location on their quality of life.28 Utility values were elicited using the EQ-5D® and Short-Form 36 subscales mapped to a country-specific preference-based value. The reduction in quality of life after a vertebral fracture was 38% lower than that observed in a healthy individual. Reduction in quality of life after a nonvertebral fracture estimated based on reductions for hip and wrist fractures was 39%, of which 55% was caused by hip fractures. Reduction in quality of life in the years following a vertebral fracture was 9% lower than that of a healthy individual. A 6% reduction in quality of life was estimated for hip and wrist fractures in the years following a nonvertebral fracture. Venous thrombolytic events, primarily deep vein thrombosis, were assumed to be associated with a 10% utility loss per year based on assumptions in previous publications.29,30 No appropriate estimate was found for utility loss due to leg cramps and breast cysts/fibrocystic breast disease. A similar 10% decrease in quality of life was assumed for leg cramps and breast cysts/fibrocystic breast disease as for deep vein thrombosis in all health states. Based on the incidence rates of adverse events for both treatments, utilities were corrected for the decrease in quality of life associated with adverse events (Table 2).
Table 2

Utilities

Health conditionUtilityaCorrected utility for adverse events
BazedoxifenebRaloxifeneb
Well10.9960.9954
Vertebral fracture0.6200.617520.617148
Nonvertebral fracture0.6510.6478980.6475077
Healthy post vertebral fracture0.9100.906360.905814
Healthy post nonvertebral fracture0.9400.93584160.93527784
QoL loss due to eachadverse event of 10%c,d,*−0.1

Notes:

Includes assumption

Adachi et al28

Silverman et al14

Sobocki et al29

Zethraeus et al30.

Abbreviation: QoL, quality of life.

Costs

Treatment costs for osteoporosis consisted of drug costs, diagnostic and follow-up tests, and physician visits. Costs were represented in 2010 Euros and discounted according to health economic guidelines, resulting in a 3% discount for costs and benefits.31 Drug tariffs were derived from a Spanish drug cost database.32 Drug costs for bazedoxifene were assumed to be similar to those for raloxifene. Monitoring of treatment for osteoporosis was estimated to include annual physician visit and annual bone mineral density measurement, based on other studies and expert opinion.33,34 Event-related fracture resource utilization was obtained by expert consultation. Vertebral fractures were assumed to be associated with 2 days of hospitalization. Outpatient treatment comprised of two imaging procedures, three specialist visits, and concomitant medication such as analgesics over 90 days. Vertebral fracture costs resulted in approximately €3878 per event. Nonvertebral fracture costs were assumed to consist of 50% hip fractures and 50% wrist fractures. Hip fractures were associated with 15 hospitalization days and similar outpatient treatment to that for vertebral fractures, including additional rehabilitation costs during a 40-day period. Wrist fractures included four hospitalization days, surgery costs, and outpatient treatment similar to that for hip fractures, with one less imaging procedure. Nonvertebral fracture costs were estimated at €7,478 per event (Table 3).
Table 3

Osteoporosis treatment and fractures: resource utilization in units and costs

UnitsCost (EUR) 2010
Treatment
Drug costs287a
Conventional blood test121b
Bone density scan1165c
Visit to rheumatologist1.569d
Annual treatment costs576
Vertebral fracture
Hospitalization vertebral fracture (average 2 days)3,513.90e
Radiography132.80f
Bone scan1232.34g
Visit to orthopedic surgeon244.10d
Analgesics (2 tablets/day, 90 days)0.06a
Annual treatment costs3878
Nonvertebral fracture
Hip fracture
Hospitalization hip fracture (average 15 days)7,956.70e
Visits to orthopedic surgeon344.10d
Radiography232.80f
Rehabilitation (40 days)52.87b
Analgesics (2 tablets/day, 90 days)0.06a
Wrist fracture
Surgery196.97h
Hospitalization wrist fracture (average of 4 days)4555.71d
Visits to orthopedic surgeon344.10d
Radiography332.80f
Rehabilitation (40 days)52.87b
Analgesics (2 tablets/day, during 90 days)0.06a
Annual treatment costs (50% hipand 50% wrist)7478

Notes:

Vademecum32

Hospital Lluís Alcanyis47

Hospital de la Esperanza48

Instituto Nacional de la Salud (INSALUD)49

Finnern and Sykes50

Cernuda51

Diari Oficial de la Generalitat de Catalunya (DOGC)52

DOGC53.

Resource utilization associated with the treatment of adverse events such as leg cramps, deep vein thrombosis, and breast cysts/fibrocystic breast disease, was added to all health states based on the treatment-related incidence and expert validation (Table 4). Treatment of leg cramps and breast cysts/fibrocystic breast disease was associated with one diagnostic test and one specialist physician visit per year. Management of deep vein thrombosis included several diagnostic tests, a specialist physician visit, and use of concomitant medication.
Table 4

Adverse events: resource utilization in units and costs

Adverse eventsUnitsCost (€) 2010
Leg cramps
Basic analyses: blood, biochemistry, electrolytes139a
Visit to specialist physician146b
Annual treatment costs85
Deep vein thrombosis
Basic analyses: blood, biochemistry, ions139a
Doppler echocardiogram170b
Plethysmography of legs1111b
Venography179b
Visit to specialist physician146b
Heparin sodium (injection 5000 UI/mL, 5 days)1.83c
Warfarin (5 mg/day, 40 days )2.30c
Annual treatment costs349
Breast cysts/fibrocystic breast disease
Mammography1128b
Visit to specialist physician146b
Annual treatment costs174

Notes:

Diari Oficial de la Generalitat de Catalunya (DOGC)53

Boletín Oficial De La Rioja (BOR)54

Vademecum32.

Analyses

In this study, quality-adjusted life-years (QALYs) gained was included as an effectiveness measure to allow us to compare the value of the interventions across different disease states. The incremental cost-effectiveness ratio (ICER), which is a measure of the cost per QALY gained in this study, is defined as: where ΔC is the difference in cost between treatment with bazedoxifene and raloxifene and ΔE is the difference in effectiveness (QALYs) between each treatment. The ICER could be computed from the main outputs, cost, and QALYs in this model. The variation in effects, in terms of both reduced fracture risk and utilities, as well as direct health care costs, was included in the probabilistic sensitivity analysis, which was done using statistical distributions to capture parameter uncertainty. We used beta and gamma distributions for probabilities and costs, respectively. The results from 1000 cohort iterations were presented as cost-effectiveness acceptability curves and as a scattered plot in the incremental cost-effectiveness plane.

Results

The base-case analysis consisted of postmenopausal women with established osteoporosis aged 55 years. Health care costs for treatment of osteoporosis and fractures per patient were similar for both treatment groups but, corrected for the incidence of adverse events, resulted in a slightly higher event cost for raloxifene than for bazedoxifene (Table 5).
Table 5

Annual cost per health state

Health stateCost (€) 2010Corrected costs events for adverse
BazedoxifeneRaloxifene
Well576580581
Vertebral fracture387844584459
Nonvertebral fracture747880588059
Healthy post vertebral fracture576580581
Healthy post nonvertebral fracture576580581
Deterministic results using a 27-year horizon showed that the expected cost per patient was higher in the raloxifene cohort (€13,436) than in the bazedoxifene cohort (€13,381, Table 6). The estimated gain in QALYs was slightly higher in the bazedoxifene cohort than in the raloxifene cohort (14.56 versus 14.54). The ICER showed bazedoxifene to be the dominant treatment strategy, being less costly (by €444) and more effective (+0.03 QALYs) compared with raloxifene.
Table 6

Total cost, incremental costs, QALY, QALYs gained, and ICER

TreatmentCost (€)Incremental costsQALYQALYs gainedICER (€/QALY)
Bazedoxifene13,436−444 €14.56+0.02Dominant
Raloxifene13,88114.54

Abbreviations: QALY, quality-adjusted life-years; ICER, incremental cost-effectiveness ratio.

Sensitivity analysis

The probabilistic analysis showed a large variation in both costs and effects when introducing uncertainty around the input parameters. Cost-effectiveness acceptability curves showed that treatment with bazedoxifene had a higher probability of being cost-effective than treatment with raloxifene using alternative values up to €50,000 for the maximum willingness to pay for an additional QALY gained by the National Health Service (Figure 2). If taking into account the commonly, albeit not officially, accepted willingness-to-pay threshold of €30,000 for a QALY in the health care sector in Spain,35 bazedoxifene is a cost-effective option.
Figure 2

Cost-effectiveness acceptability curves: bazedoxifene versus raloxifene.

The mean incremental QALY and cost gain amounted to 0.16 and −€428, respectively, which showed that bazedoxifene was the dominant treatment strategy (Figure 3). The incremental costs were scattered on both sides of the x axis, indicating that bazedoxifene generates cost savings (52% of observations were below the x axis). Fifty-one percent of the observations were located on the right of the y axis, indicating observations where the gain in QALYs was higher for bazedoxifene. According to the probabilistic sensitivity analysis, bazedoxifene generated greater health benefit in terms of QALYs gained, but at less cost.
Figure 3

Cost-effectiveness of bazedoxifene versus raloxifene in postmenopausal women with osteoporosis.

Abbreviation: QALY, quality-adjusted life-years.

Discussion

This study investigated the cost-effectiveness of bazedoxifene compared with raloxifene in postmenopausal Spanish women with osteoporosis using effectiveness data from the Osteoporosis Study.14 The results of this study indicate that bazedoxifene was the dominant treatment strategy compared with raloxifene for the prevention of vertebral and nonvertebral fractures in high-risk postmenopausal osteoporotic women aged 55–82 years. Probabilistic sensitivity analysis that accounted for parameter uncertainty confirmed the deterministic results. Treatment with bazedoxifene demonstrated a higher probability of being cost-effective than treatment with raloxifene up to a maximum of €50,000 for willingness to pay for an additional QALY gained. Although no guidelines are available in Spain to determine whether an intervention can be considered cost-effective, a nonofficial threshold of €30,000 for a QALY is considered acceptable, and compares favorably with other medical and surgical procedures.35 When this threshold is taken into account, bazedoxifene was a cost-effective treatment option compared with raloxifene. Any conclusions from this study need to be placed into the context of assumptions made for this model. Important issues to consider are the epidemiology, morbidity, and mortality associated with vertebral and nonvertebral fractures, as well as adverse events arising from both treatments. These issues have been addressed as much as possible by assuming conservative scenarios or by including a probabilistic sensitivity analysis. The general conclusions of this study are primarily based on vertebral and nonvertebral fracture outcomes and the effect of adverse events associated with both treatments. From our results, it is apparent that the effect of treatment on fracture risk and adverse events related to both treatments are important drivers for cost-effectiveness. In the base case, treatment effects for the prevention of vertebral fractures and nonvertebral fractures with or without previous fractures were based on a head-to-head comparison of bazedoxifene with raloxifene.14 Relative risk reductions for vertebral fractures were higher for the raloxifene cohort, although relative risks were lower for patients in the bazedoxifene cohort who had sustained earlier vertebral and nonvertebral fractures. Differences in relative risk reduction for nonvertebral fractures after prior fractures were larger and more favorable for bazedoxifene. No treatment effect was assumed for nonvertebral fractures in patients without fractures because the fracture incidence did not differ significantly from placebo.14 Similar results were found comparing raloxifene with placebo in the Multiple Outcomes of Raloxifene Evaluation study.10 If effects on nonvertebral fractures in patients without prior fractures were included, these could further improve cost-effectiveness. Adverse events associated with both treatments were obtained from the Osteoporosis Study.14 The main effect observed was a decrease in quality of life for affected patients and associated treatment costs incurred by patients. Similar findings for loss of quality of life because of adverse events were reported in studies of raloxifene.10,36 An increased incidence of venous thrombolytic events, primarily deep vein thrombosis, was observed in the bazedoxifene and raloxifene groups, a finding consistent with that reported in earlier studies.36,37 Further, bazedoxifene was associated with a lower incidence of breast cyst/fibrocystic breast disease compared with raloxifene. All adverse events were assumed to cause a 10% decrease in quality of life in the first year and subsequent years because appropriate estimates for utility loss were lacking in the literature. When the utilities were corrected for decrease in quality of life, the QALY gain was higher for the bazedoxifene cohort, leading to better cost-effectiveness. Other estimates of decrease in quality of life could influence cost-effectiveness ratios. The incidence of breast cancer in the study reported by Silverman et al14 was low for bazedoxifene and raloxifene, and no significant differences were observed in the incidence of breast cancer between the treatment groups. In the same study,14 treatment with bazedoxifene was associated with fewer cases of breast cancer than treatment with raloxifene over a period of 3 years, although these results were not significant. These results contrast with previous reports that raloxifene is associated with a reduction in breast cancer risk.37–39 Although different studies, as mentioned before, report possible effects of bazedoxifene and raloxifene on risk of breast cancer, any decrease in quality of life due to breast cancer for the second and following years after having breast cancer, as reported by Zethraeus et al,40 has not been included in this model. Including decrease in quality of life because of breast cancer, might affect the cost-effectiveness ratio, and would improve for bazedoxifene based on the lower number of cases observed, as was seen in the study reported by Silverman et al.14 An important strength of this study is that data on incidence of events, post-event mortality, and costs were country-specific. Apart from its strengths, there were also several limitations to the study. We only included patients who sustained a vertebral or nonvertebral fracture, and there were no data included for patients who could have sustained multiple fractures simultaneously. Therefore, the effect of multiple fractures in terms of costs and quality of life could not be determined. Regarding data on quality of life, a limitation of this study was the lack of references for loss of quality of life as a result of adverse events, such as leg cramps and breast cysts/fibrocystic breast disease. Decrease in quality of life because of deep vein thrombosis was based on assumptions made in previous studies,28,29 although supportive evidence was lacking. The effects of poor adherence and persistence were not investigated in this study. Adherence tends to be higher in clinical trials than in clinical practice. Although data on adherence are available for raloxifene,41 no data outside of clinical trials are available for bazedoxifene. Overall adherence with treatment for osteoporosis has been shown to be poor.42,43 As a consequence of nonoptimal persistence, the number of fractures avoided could be reduced, results in less QALY gain for the treatment population. Another effect is the reduction in intervention costs when treatment is stopped before the planned treatment duration. Therefore, less persistence could lead to less effectiveness, which might be compensated for somewhat by lower intervention costs, meaning persistence is likely to have a small effect on cost-effectiveness ratios, which is in line with the results of Jonsson et al.44 Whether bazedoxifene is a cost-effective treatment depends largely on the probability of having a nonvertebral fracture, sustaining a subsequent nonvertebral fracture, and decreased quality of life due to adverse events, as well as the amount the Spanish National Health Service is willing to pay for a QALY gained. Bazedoxifene compared with raloxifene in this study was shown to fall below the threshold of €30,000 for an intervention that demonstrates typical benefits in Spain. It is important to recognize that the present study was undertaken in a Spanish setting and that the results are not automatically applicable elsewhere, given that fracture risk, mortality, and costs may differ from country to country.

Conclusion

Bazedoxifene was shown to be a cost-effective treatment option for the prevention and treatment of fractures in postmenopausal osteoporotic women with a high fracture risk in Spain. When comparing bazedoxifene with raloxifene, it may be concluded that bazedoxifene is the dominant treatment strategy. Results of probabilistic sensitivity analysis show that the choice of the optimal strategy of bazedoxifene is independent of the maximum that the Spanish National Health Service is willing to pay per additional QALY. Bazedoxifene demonstrated a slightly higher probability of being cost-effective for all threshold values.
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Authors:  T J de Villiers; A A Chines; S Palacios; P Lips; A Z Sawicki; A B Levine; C Codreanu; N Kelepouris; J P Brown
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Authors: 
Journal:  Rev Clin Esp       Date:  2003-10       Impact factor: 1.556

3.  Effects of tamoxifen vs raloxifene on the risk of developing invasive breast cancer and other disease outcomes: the NSABP Study of Tamoxifen and Raloxifene (STAR) P-2 trial.

Authors:  Victor G Vogel; Joseph P Costantino; D Lawrence Wickerham; Walter M Cronin; Reena S Cecchini; James N Atkins; Therese B Bevers; Louis Fehrenbacher; Eduardo R Pajon; James L Wade; André Robidoux; Richard G Margolese; Joan James; Scott M Lippman; Carolyn D Runowicz; Patricia A Ganz; Steven E Reis; Worta McCaskill-Stevens; Leslie G Ford; V Craig Jordan; Norman Wolmark
Journal:  JAMA       Date:  2006-06-05       Impact factor: 56.272

4.  Cost-effectiveness of alendronate in the treatment of postmenopausal women in 9 European countries--an economic evaluation based on the fracture intervention trial.

Authors:  O Ström; F Borgström; S S Sen; S Boonen; P Haentjens; O Johnell; J A Kanis
Journal:  Osteoporos Int       Date:  2007-02-28       Impact factor: 4.507

5.  Reduction of vertebral fracture risk in postmenopausal women with osteoporosis treated with raloxifene: results from a 3-year randomized clinical trial. Multiple Outcomes of Raloxifene Evaluation (MORE) Investigators.

Authors:  B Ettinger; D M Black; B H Mitlak; R K Knickerbocker; T Nickelsen; H K Genant; C Christiansen; P D Delmas; J R Zanchetta; J Stakkestad; C C Glüer; K Krueger; F J Cohen; S Eckert; K E Ensrud; L V Avioli; P Lips; S R Cummings
Journal:  JAMA       Date:  1999-08-18       Impact factor: 56.272

6.  Impact of prevalent fractures on quality of life: baseline results from the global longitudinal study of osteoporosis in women.

Authors:  Jonathan D Adachi; Silvano Adami; Stephen Gehlbach; Frederick A Anderson; Steven Boonen; Roland D Chapurlat; Juliet E Compston; Cyrus Cooper; Pierre Delmas; Adolfo Díez-Pérez; Susan L Greenspan; Frederick H Hooven; Andrea Z LaCroix; Robert Lindsay; J Coen Netelenbos; Olivia Wu; Johannes Pfeilschifter; Christian Roux; Kenneth G Saag; Philip N Sambrook; Stuart Silverman; Ethel S Siris; Grigor Nika; Nelson B Watts
Journal:  Mayo Clin Proc       Date:  2010-07-15       Impact factor: 7.616

7.  The effect of vertebral fracture as a risk factor for osteoporotic fracture and mortality in a Spanish population.

Authors:  M Naves; J B Díaz-López; C Gómez; A Rodríguez-Rebollar; M Rodríguez-García; J B Cannata-Andía
Journal:  Osteoporos Int       Date:  2003-04-25       Impact factor: 4.507

8.  Safety and adverse effects associated with raloxifene: multiple outcomes of raloxifene evaluation.

Authors:  Deborah Grady; Bruce Ettinger; Elena Moscarelli; Leo Plouffe; Somnath Sarkar; Angelina Ciaccia; Steven Cummings
Journal:  Obstet Gynecol       Date:  2004-10       Impact factor: 7.661

9.  Bazedoxifene effects on the reproductive tract in postmenopausal women at risk for osteoporosis.

Authors:  JoAnn V Pinkerton; David F Archer; Wulf H Utian; José C Menegoci; Amy B Levine; Arkadi A Chines; Ginger D Constantine
Journal:  Menopause       Date:  2009 Nov-Dec       Impact factor: 2.953

10.  Systematic review: comparative effectiveness of treatments to prevent fractures in men and women with low bone density or osteoporosis.

Authors:  Catherine MacLean; Sydne Newberry; Margaret Maglione; Maureen McMahon; Veena Ranganath; Marika Suttorp; Walter Mojica; Martha Timmer; Alicia Alexander; Melissa McNamara; Sheetal B Desai; Annie Zhou; Susan Chen; Jason Carter; Carlo Tringale; Di Valentine; Breanne Johnsen; Jennifer Grossman
Journal:  Ann Intern Med       Date:  2007-12-17       Impact factor: 25.391

View more
  2 in total

Review 1.  A systematic review of cost-effectiveness analyses of drugs for postmenopausal osteoporosis.

Authors:  Mickaël Hiligsmann; Silvia M Evers; Wafa Ben Sedrine; John A Kanis; Bram Ramaekers; Jean-Yves Reginster; Stuart Silverman; Caroline E Wyers; Annelies Boonen
Journal:  Pharmacoeconomics       Date:  2015-03       Impact factor: 4.981

Review 2.  Systematic evidence of health economic evaluation of drugs for postmenopausal osteoporosis: A quality appraisal.

Authors:  Md Azharuddin; Mohammad Adil; Rashid Ali Khan; Pinaki Ghosh; Prem Kapur; Manju Sharma
Journal:  Osteoporos Sarcopenia       Date:  2020-06-23
  2 in total

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