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OBJECTIVES: This study aimed to assess the cost-effectiveness of weight-management pharmacotherapies approved by Canada Health, i.e., orlistat, naltrexone 32 mg/bupropion 360 mg (NB-32), liraglutide 3.0 mg and semaglutide 2.4 mg as compared to the current standard of care (SoC). METHODS: Analyses were conducted using a cohort with a mean starting age 50 years, body mass index (BMI) 37.5 kg/m2, and 27.6% having type 2 diabetes. Using treatment-specific changes in surrogate endpoints from the STEP trials (BMI, glycemic, blood pressure, lipids), besides a network meta-analysis, the occurrence of weight-related complications, costs, and quality-adjusted life-years (QALYs) were projected over lifetime. RESULTS: From a societal perspective, at a willingness-to-pay (WTP) threshold of CAD 50 000 per QALY, semaglutide 2.4 mg was the most cost-effective treatment, at an incremental cost-utility ratio (ICUR) of CAD 31 243 and CAD 29 014 per QALY gained versus the next best alternative, i.e., orlistat, and SoC, respectively. Semaglutide 2.4 mg extendedly dominated other pharmacotherapies such as NB-32 or liraglutide 3.0 mg and remained cost-effective both under a public and private payer perspective. Results were robust to sensitivity analyses varying post-treatment catch-up rates, longer treatment durations and using real-world cohort characteristics. Semaglutide 2.4 mg was the preferred intervention, with a likelihood of 70% at a WTP threshold of CAD 50 000 per QALY gained. However, when the modeled benefits of weight-loss on cancer, mortality, cardiovascular disease (CVD) or osteoarthritis surgeries were removed simultaneously, orlistat emerged as the best value for money compared with SoC, with an ICUR of CAD 35 723 per QALY gained. CONCLUSION: Semaglutide 2.4 mg was the most cost-effective treatment alternative compared with D&E or orlistat alone, and extendedly dominated other pharmacotherapies such as NB-32 or liraglutide 3.0 mg. Results were sensitive to the inclusion of the combined benefits of mortality, cancer, CVD, and knee osteoarthritis.
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Fármacos Antiobesidade, Análise Custo-Benefício, Obesidade, Orlistate, Humanos, Canadá, Pessoa de Meia-Idade, Obesidade/tratamento farmacológico, Obesidade/economia, Feminino, Fármacos Antiobesidade/uso terapêutico, Fármacos Antiobesidade/economia, Masculino, Orlistate/uso terapêutico, Anos de Vida Ajustados por Qualidade de Vida, Liraglutida/uso terapêutico, Liraglutida/economia, Diabetes Mellitus Tipo 2/tratamento farmacológico, Diabetes Mellitus Tipo 2/economia, Bupropiona/uso terapêutico, Bupropiona/economia, Naltrexona/uso terapêutico, Naltrexona/economia, Peptídeos Semelhantes ao Glucagon/uso terapêutico, Peptídeos Semelhantes ao Glucagon/economiaRESUMO
Background: The Canadian Bleeding Disorders Registry (CBDR) is a source of real-world data for Canadian patients with hemophilia B. Nonacog beta pegol (N9-GP), an extended half-life (EHL) recombinant factor IX (FIX) concentrate, was awarded a Canadian Blood Services contract in 2018 and subsequently made available across Canada (except Québec) to adult patients. For most patients already on another EHL FIX treatment, a switch to N9-GP occurred. Objectives: This study estimates the impact on treatment costs of a switch from a prior FIX to N9-GP based on annualized bleed rates and FIX consumption volumes before and after N9-GP switch from the CBDR. Methods: Real-world data from the CBDR for total FIX consumption and annualized bleed rates were used to inform a deterministic 1-year cost-consequence model. The model considered that the EHL to N9-GP switches were from eftrenonacog alfa and the standard half-life switches were from nonacog alfa. Because FIX prices are confidential in Canada, the model assumed cost parity for annual prophylaxis with each FIX based on the product monograph recommended dosing regimen to calculate an estimated price per international unit for each product. Results: The switch to N9-GP resulted in improvements in real-world annualized bleed rates and therefore reductions in annual breakthrough bleed treatment costs. Switching to N9-GP also resulted in reduced real-world annual FIX consumption for prophylaxis. Overall, annual treatment costs were 9.4% and 10.5% lower after the switch to N9-GP from nonacog alfa and eftrenonacog alfa, respectively. Conclusion: N9-GP improves clinical outcomes and may be cost-saving vs nonacog alfa and eftrenonacog alfa.
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BACKGROUND: Obesity and overweight are major risk factors for several chronic diseases. There is limited systematic evaluation of risk equations that predict the likelihood of developing an obesity or overweight associated complication. Predicting future risk is essential for health economic modelling. Availability of future treatments rests upon a model's ability to inform clinical and decision-making bodies. This systematic literature review aimed to identify studies reporting (1) equations that calculate the risk for individuals with obesity, or overweight with a weight-related complication (OWRC), of developing additional complications, namely T2D, cardiovascular (CV) disease (CVD), acute coronary syndrome, stroke, musculoskeletal disorders, knee replacement/arthroplasty, or obstructive sleep apnea; (2) absolute or proportional risk for individuals with severe obesity, obesity or OWRC developing T2D, a CV event or mortality from knee surgery, stroke, or an acute CV event. METHODS: Databases (MEDLINE and Embase) were searched for English language reports of population-based cohort analyses or large-scale studies in Australia, Canada, Europe, the UK, and the USA between January 1, 2011, and March 29, 2021. Included reports were quality assessed using an adapted version of the Newcastle Ottawa Scale. RESULTS: Of the 60 included studies, the majority used European cohorts. Twenty-nine reported a risk prediction equation for developing an additional complication. The most common risk prediction equations were logistic regression models that did not differentiate between body mass index (BMI) groups (particularly above 40 kg/m2) and lacked external validation. The remaining included studies (31 studies) reported the absolute or proportional risk of mortality (29 studies), or the risk of developing T2D in a population with obesity and with prediabetes or normal glucose tolerance (NGT) (three studies), or a CV event in populations with severe obesity with NGT or T2D (three studies). Most reported proportional risk, predominantly a hazard ratio. CONCLUSION: More work is needed to develop and validate these risk equations, specifically in non-European cohorts and that distinguish between BMI class II and III obesity. New data or adjustment of the current risk equations by calibration would allow for more accurate decision making at an individual and population level.
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OBJECTIVES: The present cost-consequence analysis compared estimated hospitalization costs in a Canadian setting with insulin degludec (degludec) versus insulin glargine 100 units/mL (glargine U100) in patients with type 2 diabetes (T2D) at high cardiovascular (CV) risk. METHODS: Medical terms were mapped across the different vocabularies, in order to assign unit costs from eligible hospital abstracts in Canadian Institute for Health Information data (International Statistical Classification of Diseases and Related Health Problems, 10th Revision, Canada) to serious adverse events (SAEs; Medical Dictionary for Regulatory Activities) from the randomized DEVOTE trial comparing the two insulins degludec and glargine. Mean annual costs of SAE-related hospitalizations were estimated by treatment, the cost difference (degludec - glargine U100) was bootstrapped to compute confidence intervals (CIs) and p-values, and the cost ratio (degludec/glargine U100) was estimated using a Tweedie distribution. RESULTS: The mean annual cost per patient for SAE-related hospitalizations was 4,074 CAD with degludec and 4,569 CAD with glargine U100 (cost difference: -495, 95% confidence interval [CI]: -966; -24, p = .039), for a cost ratio of 0.89 (95% CI: 0.81; 0.98, p = .016). Overall, cost ratios from sensitivity analyses varying individual methodological assumptions were consistent with the main analysis. Of the system organ classes from DEVOTE SAEs, cardiac disorders were the largest contributor to the costs savings with degludec versus glargine U100. CONCLUSIONS: In patients with T2D at high CV risk, our findings suggest that there are likely to be lower hospitalization costs with degludec versus glargine U100 based on the SAEs observed in DEVOTE and in a Canadian setting.
Assuntos
Doenças Cardiovasculares, Diabetes Mellitus Tipo 2, Hipoglicemia, Glicemia, Canadá, Doenças Cardiovasculares/induzido quimicamente, Redução de Custos, Diabetes Mellitus Tipo 2/tratamento farmacológico, Hemoglobinas Glicadas/análise, Fatores de Risco de Doenças Cardíacas, Hospitalização, Humanos, Hipoglicemiantes/uso terapêutico, Insulina Glargina/efeitos adversos, Insulina de Ação Prolongada, Fatores de RiscoRESUMO
AIMS: To evaluate the short-term cost-effectiveness of insulin degludec (degludec) vs insulin glargine 100 units/mL (glargine U100) from a Canadian public healthcare payer perspective in patients with type 2 diabetes (T2D) who are at high risk of cardiovascular events and hypoglycaemia. MATERIALS AND METHODS: A decision analytic model was developed to estimate costs (2017 Canadian dollars [CAD]) and clinical outcomes (quality-adjusted life years [QALYs]) with degludec vs glargine U100 over a 2-year time horizon. The model captured first major adverse cardiovascular event, death, severe hypoglycaemia and insulin dosing. Clinical outcomes were informed by a post hoc subgroup analysis of the DEVOTE trial (NCT01959529), which compared the cardiovascular safety of degludec and glargine U100 in patients with T2D who are at high cardiovascular risk. High hypoglycaemia risk was defined as the top quartile of patients (n = 1887) based on an index of baseline hypoglycaemia risk factors. RESULTS: In patients at high hypoglycaemia risk, degludec was associated with mean cost savings (CAD 129 per patient) relative to glargine U100, driven by a lower incidence of non-fatal myocardial infarction, non-fatal stroke and severe hypoglycaemia, which offset the slightly higher cost of treatment with degludec. A reduced risk of cardiovascular death and severe hypoglycaemia resulted in improved effectiveness (+0.0132 QALYs) with degludec relative to glargine U100. In sensitivity analyses, changes to the vast majority of model parameters did not materially affect model outcomes. CONCLUSION: Over a 2-year period, degludec improved clinical outcomes at a lower cost as compared to glargine U100 in patients with T2D at high risk of cardiovascular events and hypoglycaemia.
