Hospital costs of ischemic stroke and TIA in the Netherlands

OBJECTIVES

There have been no ischemic stroke costing studies since major improvements were implemented in stroke care. We therefore determined hospital resource use and costs of ischemic stroke and TIA in the Netherlands for 2012.

METHODS

We conducted a retrospective cost analysis using individual patient data from a national diagnosis-related group registry. We analyzed 4 subgroups: inpatient ischemic stroke, inpatient TIA, outpatient ischemic stroke, and outpatient TIA. Costs of carotid endarterectomy and costs of an extra follow-up visit were also estimated. Unit costs were based on reference prices from the Dutch Healthcare Insurance Board and tariffs provided by the Dutch Healthcare Authority. Linear regression analysis was used to examine the association between hospital costs and various patient and hospital characteristics.

RESULTS

A total of 35,903 ischemic stroke and 21,653 TIA patients were included. Inpatient costs were €5,328 ($6,845) for ischemic stroke and €2,470 ($3,173) for TIA. Outpatient costs were €495 ($636) for ischemic stroke and €587 ($754) for TIA. Costs of carotid endarterectomy were €6,836 ($8,783). Costs of inpatient days were the largest contributor to hospital costs. Age, hospital type, and region were strongly associated with hospital costs.

CONCLUSIONS

Hospital costs are higher for inpatients and ischemic strokes compared with outpatients and TIAs, with length of stay (LOS) the most important contributor. LOS and hospital costs have substantially declined over the last 10 years, possibly due to improved hospital stroke care and efficient integrated stroke services.

Abstract W P285: Novel Imaging Technology to Select Patients with a Recent Transient Ischemic Attack or Minor Ischemic Stroke for Carotid Endarterectomy: The Relationship between Test Performance and Cost-Effectiveness

Background and Purpose: Non-invasive molecular imaging tests are being developed to improve the ability to predict future strokes in patients with a recent transient ischemic attack (TIA) or minor ischemic stroke. Greater predictive ability can improve patient management, e.g., by identifying which patients will benefit more from a carotid endarterectomy than from medication alone. We estimated the minimum performance (i.e., sensitivity and specificity) that a new test must have in order for it to be cost-effective versus currently available strategies.

Methods: We compared the cost-effectiveness of using a new imaging test (as a confirmatory test after an initial duplex ultrasonography) with a guidelines-based strategy and three strategies found in daily practice. Cost-effectiveness modelling was used to estimate the long-term costs and health outcomes of each strategy. A willingness-to-pay threshold of є30,000 per QALY gained was used to evaluate cost-effectiveness. We examined the results in two hypothetical populations (60-year-old and 80-year-old men) and varied the sensitivity and specificity to estimate the minimum test performance needed in order for the new strategy to be cost-effective versus the alternatives.

Results: A perfect confirmatory test (100% sensitivity and specificity) at a cost of є390 is cost-effective for 60-year-old men versus all comparators. A test that is 100% sensitive must be at least 71% specific to be cost-effective versus the guidelines. A test that is 100% specific must be at least 52% sensitive to be cost-effective. Assuming 90% sensitivity, a test must have a specificity of at least 77% to be cost-effective. The minimum required performance for 80-year-old men was higher; e.g., a test that is 100% sensitive must be 88% (vs. 71%) specific to be cost-effective.

Conclusions: A new strategy that improves risk prediction in patients with a recent TIA or minor ischemic stroke may help to reduce the risk of recurrent stroke and thereby improve health outcomes and cost-effectiveness. However, the minimum required performance may not be achievable in all patient subgroups.

Pharmacogenetic-guided dosing of coumarin anticoagulants: algorithms for warfarin, acenocoumarol and phenprocoumon

Coumarin derivatives, such as warfarin, acenocoumarol and phenprocoumon are frequently prescribed oral anticoagulants to treat and prevent thromboembolism. Because there is a large inter-individual and intra-individual variability in dose-response and a small therapeutic window, treatment with coumarin derivatives is challenging. Certain polymorphisms in CYP2C9 and VKORC1 are associated with lower dose requirements and a higher risk of bleeding. In this review we describe the use of different coumarin derivatives, pharmacokinetic characteristics of these drugs and differences amongst the coumarins. We also describe the current clinical challenges and the role of pharmacogenetic factors. These genetic factors are used to develop dosing algorithms and can be used to predict the right coumarin dose. The effectiveness of this new dosing strategy is currently being investigated in clinical trials.

Cost effectiveness of new oral anticoagulants for stroke prevention in patients with atrial fibrillation in two different European healthcare settings

OBJECTIVES

Our objectives were to investigate the cost effectiveness of apixaban, rivaroxaban, and dabigatran compared with coumarin derivatives for stroke prevention in patients with atrial fibrillation in a country with specialized anticoagulation clinics (the Netherlands) and in a country without these clinics (the UK).

METHODS

A decision-analytic Markov model was used to analyse the cost effectiveness of apixaban, rivaroxaban, and dabigatran compared with coumarin derivatives in the Netherlands and the UK over a lifetime horizon.

RESULTS

In the Netherlands, the use of rivaroxaban, apixaban, or dabigatran increased health by 0.166, 0.365, and 0.374 quality-adjusted life-years (QALYs) compared with coumarin derivatives, but also increased costs by 5,681, 4,754, and 5,465, respectively. The incremental cost-effectiveness ratios (ICERs) were 34,248, 13,024, and 14,626 per QALY gained. In the UK, health was increased by 0.302, 0.455, and 0.461 QALYs, and the incremental costs were similar for all three new oral anticoagulants (5,118-5,217). The ICERs varied from 11,172 to 16,949 per QALY gained. In the Netherlands, apixaban had the highest chance (37 %) of being cost effective at a threshold of 20,000; in the UK, this chance was 41 % for dabigatran. The quality of care, reflected in time in therapeutic range, had an important influence on the ICER.

CONCLUSIONS

Apixaban, rivaroxaban, and dabigatran are cost-effective alternatives to coumarin derivatives in the UK, while in the Netherlands, only apixaban and dabigatran could be considered cost effective. The cost effectiveness of the new oral anticoagulants is largely dependent on the setting and quality of local anticoagulant care facilities.

Experience with outcomes research into the real-world effectiveness of novel therapies in Dutch daily practice from the context of conditional reimbursement

Policymakers more often request outcomes research for expensive therapies to help resolve uncertainty of their health benefits and budget impact at reimbursement. Given the limitations of observational data, we assessed its usefulness in evaluating clinical outcomes for bortezomib in advanced multiple myeloma patients. Data were retrospectively collected from patients included in the pivotal Assessment of Proteasome Inhibition for Extending Remissions trial (APEX; n=333) and two groups of daily practice patients treated with bortezomib following progression from upfront therapy (n=201): real-world patients treated as of May 2009 (RW-1; n=72) and June 2012 (RW-2; n=129). Prognosis, treatment, and effectiveness were compared. Outcomes research was useful for policymakers for addressing to whom and how bortezomib was administered in daily practice. It was limited however in generating robust evidence on real-world safety and effectiveness. The quality of real-world evidence on effectiveness was low due to missing data in patient charts, existing treatment variation and the dynamics in care during the novel drug's initial market uptake period. Policymakers requesting real-world evidence on clinical outcomes for reimbursement decisions should be aware of these limitations and advised to carefully consider beforehand the type of evidence that best addresses their needs for the re-assessment phase.

Patient perspective on remote monitoring of cardiovascular implantable electronic devices: rationale and design of the REMOTE-CIED study

Background

Remote patient monitoring is a safe and effective alternative for the in-clinic follow-up of patients with cardiovascular implantable electronic devices (CIEDs). However, evidence on the patient perspective on remote monitoring is scarce and inconsistent.

Objectives

The primary objective of the REMOTE-CIED study is to evaluate the influence of remote patient monitoring versus in-clinic follow-up on patient-reported outcomes. Secondary objectives are to: 1) identify subgroups of patients who may not be satisfied with remote monitoring; and 2) investigate the cost-effectiveness of remote monitoring.

Methods

The REMOTE-CIED study is an international randomised controlled study that will include 900 consecutive heart failure patients implanted with an implantable cardioverter defibrillator (ICD) compatible with the Boston Scientific LATITUDE® Remote Patient Management system at participating centres in five European countries. Patients will be randomised to remote monitoring or in-clinic follow-up. The In-Clinic group will visit the outpatient clinic every 3–6 months, according to standard practice. The Remote Monitoring group only visits the outpatient clinic at 12 and 24 months post-implantation, other check-ups are performed remotely. Patients are asked to complete questionnaires at five time points during the 2-year follow-up.

Conclusion

The REMOTE-CIED study will provide insight into the patient perspective on remote monitoring in ICD patients, which could help to support patient-centred care in the future.

Is it cost-effective to use a test to decide which individuals with an intermediate cardiovascular disease risk would benefit from statin treatment?

BACKGROUND

The 2012 European guidelines recommend statins for intermediate-risk individuals with elevated cholesterol levels. Improved discrimination of intermediate-risk individuals is needed to prevent both cardiovascular disease (CVD) and statin side-effects (e.g. myopathy) efficiently since only 3-15 in every 100 individuals actually experience a cardiovascular event in the next 10 years. We estimated the potential cost-effectiveness of a hypothetical test which helps to determine which individuals will benefit from statins.

METHODS AND RESULTS

Prognosis of different age- and gender-specific cohorts with an intermediate risk was simulated with a Markov model to estimate the potential costs and quality-adjusted life-years for four strategies: treat all with statins, treat none with statins, treat according to the European guidelines, or use a test to select individuals for statin treatment. The test-first strategy dominated the other strategies if the hypothetical test was 100% accurate and cost no more than €237. This strategy and the treat-all strategy were equally effective but the test generated lower costs by reducing statin usage and side-effects. The treat-none strategy was the least effective strategy. Threshold analyses show that the test must be highly accurate (especially sensitive) and inexpensive to be the most cost-effective strategy, since myopathy has a negligible impact on cost-effectiveness and statin costs are low.

CONCLUSION

Use of a highly accurate prognostic test could reduce overall CVD risk, frequency of drug side-effects and lifetime costs. However, no additional test would add usefully to risk prediction over SCORE when it does not satisfy the costs and accuracy requirements.

Challenges in modelling the cost effectiveness of various interventions for cardiovascular disease

OBJECTIVES

Decision analytic modelling is essential in performing cost-effectiveness analyses (CEAs) of interventions in cardiovascular disease (CVD). However, modelling inherently poses challenges that need to be dealt with since models always represent a simplification of reality. The aim of this study was to identify and explore the challenges in modelling CVD interventions.

METHODS

A document analysis was performed of 40 model-based CEAs of CVD interventions published in high-impact journals. We analysed the systematically selected papers to identify challenges per type of intervention (test, non-drug, drug, disease management programme, and public health intervention), and a questionnaire was sent to the corresponding authors to obtain a more thorough overview. Ideas for possible solutions for the challenges were based on the papers, responses, modelling guidelines, and other sources.

RESULTS

The systematic literature search identified 1,720 potentially relevant articles. Forty authors were identified after screening the most recent 294 papers. Besides the challenge of lack of data, the challenges encountered in the review suggest that it was difficult to obtain a sufficiently valid and accurate cost-effectiveness estimate, mainly due to lack of data or extrapolating from intermediate outcomes. Despite the low response rate of the questionnaire, it confirmed our results.

CONCLUSIONS

This combination of a review and a survey showed examples of CVD modelling challenges found in studies published in high-impact journals. Modelling guidelines do not provide sufficient guidance in resolving all challenges. Some of the reported challenges are specific to the type of intervention and disease, while some are independent of intervention and disease.

Impaired health-related quality of life in acute myeloid leukemia survivors: a single-center study

OBJECTIVES

The purpose of this study was to assess the impact of acute myeloid leukemia (AML) and its treatment on health-related quality of life (HRQOL) by comparing the HRQOL of AML survivors with the HRQOL in the general population.

METHODS

Two HRQOL questionnaires (EQ-5D and QLQ-C30) were sent to patients diagnosed with AML between 1999 and 2011 at a single academic hospital and still alive in 2012. HRQOL in AML survivors was compared with general population reference values. Multivariate analysis was used to identify factors associated with HRQOL in AML survivors.

RESULTS

Questionnaires were returned by 92 of the 103 patients (89%). AML survivors reported significantly worse functioning, more fatigue, pain, dyspnea, appetite loss, and financial difficulties and lower EQ-VAS scores than the general population (P < 0.05). Impaired HRQOL in AML survivors was mainly found in survivors without a paid job. Other factors associated with a poor HRQOL were allogeneic hematopoietic stem cell transplantation and the absence of social support.

CONCLUSION

This single-center study showed that the HRQOL in AML survivors is worse than the HRQOL in the general population. HRQOL in these patients can be improved by adequately treating and preventing fatigue, pain, dyspnea, and appetite loss.

Step-by-step guideline for disease-specific costing studies in low- and middle-income countries: a mixed methodology

Background

Disease-specific costing studies can be used as input into cost-effectiveness analyses and provide important information for efficient resource allocation. However, limited data availability and limited expertise constrain such studies in low- and middle-income countries (LMICs).

Objective

To describe a step-by-step guideline for conducting disease-specific costing studies in LMICs where data availability is limited and to illustrate how the guideline was applied in a costing study of cardiovascular disease prevention care in rural Nigeria.

Design

The step-by-step guideline provides practical recommendations on methods and data requirements for six sequential steps: 1) definition of the study perspective, 2) characterization of the unit of analysis, 3) identification of cost items, 4) measurement of cost items, 5) valuation of cost items, and 6) uncertainty analyses.

Results

We discuss the necessary tradeoffs between the accuracy of estimates and data availability constraints at each step and illustrate how a mixed methodology of accurate bottom-up micro-costing and more feasible approaches can be used to make optimal use of all available data. An illustrative example from Nigeria is provided.

Conclusions

An innovative, user-friendly guideline for disease-specific costing in LMICs is presented, using a mixed methodology to account for limited data availability. The illustrative example showed that the step-by-step guideline can be used by healthcare professionals in LMICs to conduct feasible and accurate disease-specific cost analyses.

Policymaker, please consider your needs carefully: does outcomes research in relapsed or refractory multiple myeloma reduce policymaker uncertainty regarding value for money of bortezomib?

INTRODUCTION

Dutch policy regulations require outcomes research for the assessment of appropriate drug use and cost-effectiveness after 4 years of temporary reimbursement. We investigated whether outcomes research reduced policymaker uncertainty regarding the question whether the costs are worth public funding.

METHODS

Our cohort study included 139 patients with relapsed/refractory multiple myeloma who were treated outside of a clinical study; 72 received bortezomib and 67 did not receive bortezomib. Detailed data were retrospectively collected from medical records in 38% of Dutch hospitals.

RESULTS

All patients received second-line treatment; 65%, 40%, and 14%, received three, four, or five or more lines of therapy. Neither a specific treatment sequence nor an appropriate comparator could be identified because of large variation in regimes. Kaplan-Meier curves showed an increased overall survival (mean [median] 29.5 [33.2] vs. 28.0 [21.6] months) for patients treated with bortezomib (Wilcoxon P = 0.01). Total mean costs were €81,626 (range €17,793-€229,783) and €52,760 (range €748-€179,571) for patients receiving bortezomib and patients not receiving bortezomib, respectively. Patients treated with bortezomib, however, were not comparable to other patients despite attempts to correct for confounding. Therefore, it was impossible to develop a feasible model to obtain a valid incremental cost-effectiveness estimate.

CONCLUSIONS

It was possible to develop evidence on bortezomib's use, effects, and costs in everyday practice. Much uncertainty, however, remained regarding its cost-effectiveness. Policymakers should carefully consider whether outcomes research sufficiently decreases uncertainty or whether other options (e.g., finance- and/or outcomes-based risk-sharing arrangements) are more appropriate to ensure sufficient value for money of expensive drugs.

A randomized trial of genotype-guided dosing of acenocoumarol and phenprocoumon

BACKGROUND

Observational evidence suggests that the use of a genotype-guided dosing algorithm may increase the effectiveness and safety of acenocoumarol and phenprocoumon therapy.

METHODS

We conducted two single-blind, randomized trials comparing a genotype-guided dosing algorithm that included clinical variables and genotyping for CYP2C9 and VKORC1 with a dosing algorithm that included only clinical variables, for the initiation of acenocoumarol or phenprocoumon treatment in patients with atrial fibrillation or venous thromboembolism. The primary outcome was the percentage of time in the target range for the international normalized ratio (INR; target range, 2.0 to 3.0) in the 12-week period after the initiation of therapy. Owing to low enrollment, the two trials were combined for analysis. The primary outcome was assessed in patients who remained in the trial for at least 10 weeks.

RESULTS

A total of 548 patients were enrolled (273 patients in the genotype-guided group and 275 in the control group). The follow-up was at least 10 weeks for 239 patients in the genotype-guided group and 245 in the control group. The percentage of time in the therapeutic INR range was 61.6% for patients receiving genotype-guided dosing and 60.2% for those receiving clinically guided dosing (P=0.52). There were no significant differences between the two groups for several secondary outcomes. The percentage of time in the therapeutic range during the first 4 weeks after the initiation of treatment in the two groups was 52.8% and 47.5% (P=0.02), respectively. There were no significant differences with respect to the incidence of bleeding or thromboembolic events.

CONCLUSIONS

Genotype-guided dosing of acenocoumarol or phenprocoumon did not improve the percentage of time in the therapeutic INR range during the 12 weeks after the initiation of therapy. (Funded by the European Commission Seventh Framework Programme and others; EU-PACT ClinicalTrials.gov numbers, NCT01119261 and NCT01119274.).

Stratified patient-centered care in type 2 diabetes: a cluster-randomized, controlled clinical trial of effectiveness and cost-effectiveness

OBJECTIVE

Diabetes treatment should be effective and cost-effective. HbA1c-associated complications are costly. Would patient-centered care be more (cost-) effective if it was targeted to patients within specific HbA1c ranges?

RESEARCH DESIGN AND METHODS

This prospective, cluster-randomized, controlled trial involved 13 hospitals (clusters) in the Netherlands and 506 patients with type 2 diabetes randomized to patient-centered (n=237) or usual care (controls) (n=269). Primary outcomes were change in HbA1c and quality-adjusted life years (QALYs); costs and incremental costs (USD) after 1 year were secondary outcomes. We applied nonparametric bootstrapping and probabilistic modeling over a lifetime using a validated Dutch model. The baseline HbA1c strata were <7.0% (53 mmol/mol), 7.0-8.5%, and >8.5% (69 mmol/mol).

RESULTS

Patient-centered care was most effective and cost-effective in those with baseline HbA1c>8.5% (69 mmol/mol). After 1 year, the HbA1c reduction was 0.83% (95% CI 0.81-0.84%) (6.7 mmol/mol [6.5-6.8]), and the incremental cost-effectiveness ratio (ICER) was 261 USD (235-288) per QALY. Over a lifetime, 0.54 QALYs (0.30-0.78) were gained at a cost of 3,482 USD (2,706-4,258); ICER 6,443 USD/QALY (3,199-9,686). For baseline HbA1c 7.0-8.5% (53-69 mmol/mol), 0.24 QALY (0.07-0.41) was gained at a cost of 4,731 USD (4,259-5,205); ICER 20,086 USD (5,979-34,193). Care was not cost-effective for patients at a baseline HbA1c<7.0% (53 mmol/mol).

CONCLUSIONS

Patient-centered care is more valuable when targeted to patients with HbA1c>8.5% (69 mmol/mol), confirming clinical intuition. The findings support treatment in those with baseline HbA1c 7-8.5% (53-69 mmol/mol) and demonstrate little to no benefit among those with HbA1c<7% (53 mmol/mol). Further studies should assess different HbA1c strata and additional risk profiles to account for heterogeneity among patients.

Real-world cost-effectiveness of oxaliplatin in stage III colon cancer: a synthesis of clinical trial and daily practice evidence

OBJECTIVES

Previous cost-effectiveness analyses of oxaliplatin have been based on randomised trials whereas current Dutch policy requires evidence from daily practice. The objective of this study was to examine the real-world cost-effectiveness of oxaliplatin plus fluoropyrimidines (FL) versus FL-only as adjuvant treatment of stage III colon cancer.

METHODS

A Markov model was developed to estimate lifetime cost and quality-adjusted life-years from a hospital perspective. The effectiveness of the oxaliplatin arm was modelled by combining published efficacy data from the pivotal clinical registration trial (MOSAIC trial) with real-world (RW) data from a Dutch population-based observational study. RW patients were categorised into "eligible" or "ineligible", depending on whether the patients fulfilled the MOSAIC trial eligibility criteria. Ineligible RW patients (18 %) had a poorer prognosis than eligible RW patients (82 %) and MOSAIC trial patients. The effectiveness of the comparator was modelled using MOSAIC trial results. All cost inputs were based on RW patients and reported in Euro 2012. Cost-effectiveness analyses were performed for four different scenarios: (1) cost-effectiveness analyses based on MOSAIC trial patients; (2) cost-effectiveness analyses using MOSAIC and eligible RW patients; (3) cost-effectiveness analyses using MOSAIC and both eligible and ineligible RW patients, assuming oxaliplatin had an equal effect in ineligible and eligible patients; (4) cost-effectiveness analyses using MOSAIC and both eligible and ineligible RW patients, assuming oxaliplatin had no effect amongst ineligibles. For each scenario, univariate and probabilistic sensitivity analyses were undertaken.

RESULTS

MOSAIC trial patients and eligible RW patients treated with oxaliplatin had comparable 2-year disease-free survivals (79.5 vs. 78.4 %). Oxaliplatin showed an incremental QALY gain of 1.02, 1.13, 1.17 and 0.93 and incremental cost of <euro>9,961, <euro>11,055, <euro>9,814 and <euro>11,854 in scenarios 1-4, respectively. The corresponding incremental cost-effectiveness ratios (ICERs) were <euro>9,766, <euro>9,783, <euro>8,388 and <euro>12,746 in scenarios 1-4, respectively. In all scenarios, univariate and probabilistic sensitivity analyses indicated that the ICERs are acceptable and robust under a wide range of model assumptions.

CONCLUSIONS

The ICERs of the different scenarios that resulted from combining MOSAIC trial data with data from Dutch daily practice all suggest that FL + oxaliplatin is cost-effective versus FL alone in the adjuvant treatment of colon cancer. This article illustrates how one could design and implement a real-world cost-effectiveness study to yield internally valid results that could also be generalisable.

Cost–effectiveness of pharmacogenetic-guided dosing of phenprocoumon in atrial fibrillation

Aim: To investigate the cost–effectiveness of pharmacogenetic-guided phenprocoumon dosing versus standard anticoagulation care in Dutch patients with atrial fibrillation. Materials & methods: Using a decision-analytic Markov model, cost–effectiveness of pharmacogenetic-guided therapy versus standard care was estimated. Results: Compared with standard care, the pharmacogenetic-guided dosing strategy increased quality-adjusted life-years (QALYs) only very slightly and increased costs by €15. The incremental cost–effectiveness ratio was €2658 per QALY gained. In sensitivity analyses, the cost of genotyping had the largest influence on the cost–effectiveness ratio. In a probabilistic sensitivity analysis, the incremental costs of genotype-guided dosing were less than €20,000 per QALY gained in 75.6% of the simulations. Conclusion: Pharmacogenetic-guided dosing of phenprocoumon has the potential to increase health slightly and may be able to achieve this in a cost-effective way. Owing to the many uncertainties it is too early to conclude whether or not patients starting phenprocoumon should be genotyped.

Original submitted 20 December 2012; Revision submitted 8 April 2013

Cost-effectiveness of pharmacogenetics in anticoagulation: international differences in healthcare systems and costs

Genotyping patients for CYP2C9 and VKORC1 polymorphisms can improve the accuracy of dosing during the initiation of anticoagulation with vitamin K antagonists (coumarin derivatives). The anticipated degree of improvement in the safety of anticoagulation with coumarins through genotyping may vary depending on the quality of patient care, which varies both with and among countries. The management and the cost of anticoagulant care can therefore influence the cost-effectiveness of genotyping within any given country. In this article, we provide an overview of the cost-effectiveness of pharmacogenetics-guided dosing of coumarin derivatives. We describe the organization of anticoagulant care in the UK, Sweden, The Netherlands, Greece, Germany and Austria, where a genotype-guided dosing algorithm is currently being investigated as part of the EU-PACT trial. We also explore the costs of anticoagulant care for the treatment of atrial fibrillation in these countries.

Treatment costs of acute myocardial infarction in the Netherlands

BACKGROUND

This study aimed to calculate the treatment costs of acute myocardial infarction (AMI) in the Netherlands for 2012. Also, the degree of association between treatment costs of AMI and some patient and hospital characteristics was examined.

METHODS

For this retrospective cost analysis, patients were drawn from the database of the Diagnosis Treatment Combination (Diagnose Behandeling Combinatie, DBC) casemix system, which contains data on the resource use of all hospitalisations in the Netherlands. All costs were based on Euro 2012 cost data.

RESULTS

The analysis was based on data of 25,657 patients. Mean treatment costs were estimated at <euro> 5021, with significant cost increases for patients with percutaneous coronary intervention (PCI) treatment. ST-segment elevation myocardial infarction (STEMI) patients receiving thrombolysis incurred the lowest (<euro> 4286), while non-STEMI patients receiving PCI the highest costs (<euro> 6060). Length of stay and hospital type were strong predictors of treatment costs.

CONCLUSIONS

This study is the most extensive cost assessment of the treatment costs of AMI in the Netherlands thus far. Our results may be used as input for health-economic models and economic evaluations to support the decision making of registration, reimbursement and pricing of interventions in healthcare.

Novel anticancer agents for multiple myeloma: a review of the evidence for their therapeutic and economic value

Recent advances in oncology treatment have improved patient outcomes at the expense of increasing healthcare costs. The indication multiple myeloma is especially characterized by a recent and continuing flood of expensive novel agents. A review encompassing all elements necessary to perform an economic evaluation of novel agents for multiple myeloma was conducted for thalidomide, bortezomib and lenalidomide. Improvements in efficacy have led to a switch from conventional therapy to novel agents as standard therapy. Incremental cost-effectiveness ratios for novel agents alone or in combination with conventional agents were generally regarded to be within acceptable ranges. Conflicting results were reported for the incremental cost-effectiveness of bortezomib versus lenalidomide, as unresolved questions remain regarding their comparative effectiveness. Future economic evaluations will require an assessment of the cost-effectiveness of these agents in terms of sequence within the treatment paradigm and in combination with one another.

A cross-national comparative study of metabolic syndrome among non-diabetic Dutch and English ethnic groups

BACKGROUND

Evidence suggests a higher prevalence of type 2 diabetes (T2D) in The Netherlands than in England, although generalized obesity prevalence is substantially lower in The Netherlands. Metabolic syndrome (MS) is more strongly associated with the risk of progression to T2D than generalized obesity. Therefore examining MS may help to better understand the differences in T2D between the two countries. We assessed whether the Dutch and English differences in T2D prevalence reflect similar differences in MS in Whites, South-Asian Indians and African-Caribbeans living in these two countries.

METHODS

Secondary analyses of population-based studies of 3010 participants aged 35-60 years. Metabolic syndrome was defined according to the International Diabetes Federation criteria. Prevalence ratios (PRs) were estimated using regression models.

RESULTS

In general, the Dutch ethnic groups had a higher prevalence of MS than their English counterparts. Adjusted PRs were 1.37[95% confidence interval (CI)1.03-1.82] and 1.52 (1.06-2.19) in White-Dutch men and women compared to White-English men and women; 2.20 (1.14-4.26) and 1.46 (0.96-2.24) in Dutch-African-Caribbean men and women compared to English-African-Caribbean men and women and 0.97 (0.74-1.27) and 1.42 (1.00-2.03) in Dutch-Indian men and women compared with their English-Indian peers, respectively. Similar patterns were also observed for some MS components, e.g. raised fasting glucose in men and central obesity in women.

CONCLUSION

The comparatively high prevalence of MS among Dutch ethnic groups may contribute to their high prevalence of T2D. The high levels of some MS components, e.g. raised fasting glucose in men and central obesity in women add to the high prevalence of MS in Dutch ethnic groups.