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Background: Chronic kidney disease (CKD) is a well-established risk factor for adverse events in patients undergoing percutaneous coronary intervention (PCI). However, few data exists on the subsequent healthcare resource use and related incremental costs in this patient subgroup. The present study compares the rates of cardiac-related hospitalisations and the associated direct costs, post-PCI in patients with and without CKD., Methods: Healthcare costs were estimated for 12,998 PCI patient-procedures from the Melbourne Interventional Group (MIG) registry, collected between February 2004 and October 2010. Information collected included the use of cardiovascular drugs and cardiac-related hospitalisations from those that completed 12-month follow-up. Individual patients were assigned unit costs based on published data from the National Hospital Cost Data Collection for Admissions in Victoria (2008-2009) and the Pharmaceutical Benefit Scheme (PBS) schedule (2011-2012). Bootstrap multiple linear regression was used to estimate the direct excess healthcare costs, adjusting for age and gender and relevant comorbidities., Results: Excess cardiac-related readmissions occurred among patients with "severe CKD or dialysis" (estimated glomerular filtration rate (eGFR): <30 ml/min/1.73 m(2); n = 330; 35%), compared to "moderate CKD" (eGFR: 30-60 ml/min/1.73 m(2); n = 2648; 28%), or the "referent CKD status" (eGFR: ≥ 60 ml/min/1.73 m(2); n = 10,020; 24%). On average, excess (95%CI) overall direct costs were significantly higher in patients with severe CKD or dialysis compared to those with referent CKD status [$AUD 2206 ($AUD 1148 to 3688)]., Conclusions: From the healthcare payer's perspective, PCI patients with severe CKD compared to no-CKD imposed significantly higher burden on subsequent healthcare resources. Hospitalisations accounted for the majority of these expenditures., (Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.)

Objectives: To systematically evaluate the cost-effectiveness of screening and treatment of familial hypercholesterolaemia (FH)., Methods: An extensive search strategy using MeSH terms was used to search Medline, Embase, EBM review (includes databases such as the Centre for Reviews and Dissemination database), the NHS Economic-Evaluation Database, the HTA database, the Cochrane Library and the Database of Abstracts of Reviews of Effects. Completed studies that evaluated cost-effectiveness of treatment and screening of FH were included. Two reviewers independently assessed the quality of the studies. The studies were assessed using the Consensus on Health-Economic Criteria and a published checklist for evaluating model-based economic evaluations (EE)., Results: Nine studies were identified. Three studies that focused on lipid-lowering treatment among patients with known FH suggested this strategy is highly cost-effective. Six studies reported on the cost-effectiveness of FH screening, and subsequent treatment of those identified with the condition. Compared with no screening, the incremental cost-effectiveness ratio of screening ranged from €3177-€29,554 per life year gained. The results of modelled EE were sensitive to the underlying prevalence of FH among the population being screened, the validity of the screening test and the price and efficacy of lipid-lowering therapy., Conclusion: Overall, cascade screening for new cases of FH appears to be cost-effective. However, there were uncertainties in the modelling methods, especially with regard to the underlying prevalence of FH, validity of the screening tests, and use of different approaches to assess the outcomes of treatment. Further health EE based on high quality and country-specific data are required., (Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.)

Objective: Effective interventions to prevent, delay, or remit diabetes are currently available. However, their impact on the prevalence of diabetes at the population level is unknown. This study aimed to estimate the impact of a range of diabetes interventions on the population prevalence of diabetes for Australian adults between 2010 and 2025., Research Design and Methods: We used the Australian Diabetes Projection Model to estimate the impact of a population-wide strategy, high-risk prevention, surgical diabetes treatment, and a combination strategy on the future population prevalence of diabetes and to estimate the number of diabetes cases that could be potentially prevented in the year 2025., Results: We estimate that a population-wide strategy would reduce the number of diabetes cases by 60,000-85,000 in 2025 from an estimated 2 million cases under the status quo scenario. A high-risk prevention strategy would result in 106,000 to 150,000 fewer cases of diabetes in 2025, and surgically induced weight loss would result in 3,000-6,000 fewer cases. No single intervention, or combination of interventions, reversed the increasing trend in diabetes prevalence over the next 15 years., Conclusions: To reverse upward trends in diabetes prevalence in future years, it is essential that current approaches to diabetes prevention and treatment are optimized and implemented and that alternative approaches to reduce the prevalence of diabetes at a population level are developed.

Objective: To report on two-year cardiovascular (CV) event rates and quantify the cost of cardiovascular disease using the Australian Reduction of Atherothrombosis for Continued Health (REACH) registry., Methods: Prospective registry of 2873 patients with multiple risk factors (MRF), coronary artery disease (CAD), cerebrovascular disease (CerVD) and peripheral artery disease (PAD), recruited through 273 Australian general practitioners. Government reimbursement data from 2011 was used to calculate direct health care costs (pharmaceuticals, outpatient and hospitalisation costs). The main outcome of interest was two-year rates and associated excess costs of cardiovascular death, myocardial infarction, stroke, and hospitalisation for cardiovascular procedures., Results: The two year follow-up data were available for 2856 (99.4%) patients. Incidence of any hospitalisation and cardiovascular death was highest among those with previous history of PAD at baseline 49% (n=126), and 5.1% (n=13). Non-fatal cardiovascular events were highest among the PAD and CAD groups (21.8% (n=56) and 14.1% (n=297) respectively). Those with previous history of PAD and CerVD at baseline had the highest likelihood of CV death (OR=2.53 (95% CI: 1.58-4.08) and OR=1.61 (1.05-2.46) respectively) in comparison to other groups. Patients with PAD had the highest likelihood of vascular interventions OR=3.11 (95% CI: 2.09-4.63) at two years. Overall, the mean (SD) direct expenditure over two years of follow-up per person was A$7544 (A$10,758). In the adjusted model, patients with CAD and PAD incurred A$1093 (95% CI A$24 - A$2072) and A$4890 (95% CI A$3105 - A$6869) more in mean total costs compared to patients with MRF., Conclusions: Patients with PAD had the highest likelihood of vascular interventions and CV death, and incurred high excess costs in comparison to other groups., (Copyright © 2013 Australian and New Zealand Society of Cardiac and Thoracic Surgeons (ANZSCTS) and the Cardiac Society of Australia and New Zealand (CSANZ). Published by Elsevier B.V. All rights reserved.)

Background: No population-based studies have investigated how the impact of hip and knee joint disease may vary with increasing severity., Objective: The purpose of this study was to evaluate health-related quality of life (HRQoL), work status, and health service utilization and costs according to severity of hip and knee joint disease., Design: A national cross-sectional survey was conducted., Methods: Five thousand individuals were randomly selected from the Australian electoral roll and invited to complete a questionnaire to screen for doctor-diagnosed hip arthritis, hip osteoarthritis (OA), knee arthritis, and knee OA. Severity was classified by means of Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) scores (range=0-100): <7=asymptomatic, 7-38=mild-moderate, and ≥39=severe. Health-related quality of life was evaluated by means of the Assessment of Quality of Life (AQoL) instrument (range=-0.04 to 1.00; scored worst-best). Self-reported data on work status and health service utilization were collected, with health care costs estimated with the use of government data., Results: Data were available for 1,157 participants, with 237 (20%) reporting hip or knee joint disease. Of these, 16% (n=37) were classified as asymptomatic, 51% (n=120) as mild-moderate, and 27% (n=64) as severe. The severe group reported very low HRQoL (adjusted mean AQoL=0.43, 95% confidence interval [95% CI]=0.38-0.47) compared with the mild-moderate group (adjusted mean AQoL=0.72, 95% CI=0.69-0.75) and the asymptomatic group (adjusted mean AQoL=0.80, 95% CI=0.74-0.86). Compared with the asymptomatic group, the severe group was >3 times less likely to undertake paid work (adjusted odds ratio=0.28, 95% CI=0.09-0.88) and >4 times less likely to undertake unpaid work (adjusted odds ratio=0.24, 95% CI=0.10-0.62). Although physical therapy services were used infrequently, primary and specialist care utilization and costs were highest for the severe group., Limitations: Other costs (including physical therapy consultations) were unavailable., Conclusions: A clear pattern of worsening HRQoL, reduced work participation, and higher medical care utilization was seen with increasing severity of joint disease.

In the current climate of burgeoning health care costs, pharmacoeconomics is becoming increasingly important, but knowledge about pharmacoeconomic methods is limited among most clinicians. This review provides an introduction to, and overview of, common methods used in pharmacoeconomic modelling: decision analysis, Markov modelling, discounting and uncertainty analyses via Monte Carlo simulation. It will conclude with a suggested approach to reading and appraising published pharmacoeconomic analyses., (© 2012 The Authors. British Journal of Clinical Pharmacology © 2012 The British Pharmacological Society.)

Background: Individuals with metabolic syndrome (MetS) are at increased risk of cardiovascular disease (CVD), often requiring combination drug therapy for control of risk factors and subsequent risk reduction. This study aims to compare the long-term effectiveness and cost effectiveness of the polypill (a multi-component tablet), and its components (alone or in combination), in a MetS population., Methods and Results: A Markov state transition model, using individual subject data from the Australian Diabetes, Obesity and Lifestyle study, was constructed to simulate the effects of the treatment versus no treatment on CVD events, and costs over 10 years. In 1,991 individuals classified as MetS and free of existing diabetes mellitus or CVD, treatment with the polypill (or its components) was effective at reducing cardiovascular events [statin: 171, aspirin (actetylsalicylic acid): 201, antihypertensive: 186 per 1,000 individuals]. The more drug therapies employed the greater the reduction, with the polypill reducing up to 351 cardiovascular events per 10,000 individuals. Cost-effectiveness analyses were sensitive to drug treatment costs and effectiveness of treatment. At a cost of AUD$42 per person per annum, aspirin was considered cost saving. All other treatment strategies, including the polypill, were not cost effective., Conclusion: The polypill is likely to be effective in the reduction of cardiovascular events in a MetS population. It is, however, not cost effective. Nevertheless, in a high-risk population, among whom combination therapy is often prescribed, the polypill is likely to be more cost effective than antihypertensive therapy alone or dual therapy with a statin and antihypertensive combination.

Aims: To describe aspirin use in primary and secondary prevention and to determine the incremental costs-effectiveness ratio (ICER) per life year gain (LYG) of aspirin use among subjects with, or at high risk of atherothrombotic disease., Design and Subjects: To project the cost-effectiveness of aspirin over 5 years of follow-up, a Markov state transition model was developed with yearly cycles and the following health states: "Alive" (post-CAD) and "Dead." The model compared current coverage observed among 2361 subjects using the prospective Australian subset of Reduction of Atherothrombosis for continued Health (REACH) registry, and hypothetical situation whereby all subjects assumed to be treated. Costs were calculated based on the Australian government reimbursed data for 2010., Main Outcome Measures: ICER per LYG for increased use of aspirin., Results: The use of aspirin in current group varied from 67% to 70%. The base-case analysis showed that increasing aspirin use among subjects with existing CAD in outpatient settings was cost saving, while increasing use of aspirin in primary prevention equated to an ICER of AUD 7126 per LYG., Conclusion: Among subjects with existing CAD aspirin use was shown to be a dominant choice of treatment. However, among patients without existing cardiovascular disease (primary prevention), increased uptake of aspirin was cost effective but with uncertain benefit, with two hemorrhagic bleeding events occurring for every life saved., (© 2011 Blackwell Publishing Ltd.)

Familial hypercholesterolaemia (FH) is a condition that should be familiar to all health professionals involved in preventive medicine. FH is the most common and serious monogenic disorder of lipid metabolism that leads to premature coronary heart disease. However, most cases remain undetected or inadequately treated in our community. We provide an overview of FH, with emphasis on evidence for treatment, new models of care (MoCs) and health economic evaluations. Evidence for treatment is based on cohort studies; while this is a low level class of evidence, MoCs concur in recommending early intervention and lowering of plasma low-density lipoprotein-cholesterol levels by at least 40% with statins. Preliminary health economic evaluations suggest that detecting and treating FH is cost-effective, but further studies based on high-quality international data and standardised costing methods are needed. If the recommendations in the published MoCs are followed, there is likely to be significant improvement in the health and quality of life of patients with FH and their families, as well as major cost savings in healthcare for end-organ damage, including myocardial infarction, acute coronary syndromes and possibly stroke, but this requires to be verified., (© 2012 The Authors. International Journal of Evidence-Based Healthcare © 2012 The Joanna Briggs Institute.)

Background: Although few cardiovascular registries report the costs of illness or cost-effectiveness of health interventions, such information is critical to inform the effective and cost-effective management of cardiovascular disease, particularly if drawn from population-based registries, which more accurately reflect clinical practice and follow up patients for much longer than clinical trials., Objective: The goal of this study was to estimate the cost-effectiveness of closing the statin "treatment gap" in the secondary prevention of coronary artery disease (CAD) in Australia., Methods: A decision analysis Markov model was developed with yearly cycles and the health states of alive or dead. Using data from the Australian Reduction of Atherothrombosis for Continued Health Registry, the model compared current statin coverage (82%) in the secondary prevention of CAD (the current group) with a hypothetical situation of 100% coverage (the improved group). The 18% gap was filled with use of generic statins. Data from a recent meta-analysis were used to estimate the benefits of statin use in terms of reducing recurrent cardiovascular events and death. Government reimbursement data from 2011 were used to calculate direct health care costs. The cost of the intervention to improve statin coverage was assumed to be $250 per person. Years of life lived and costs were discounted at 5% annually. All values are given in Australian dollars., Results: Among the 2058 subjects in the current group, the model estimated that there would be 106 nonfatal myocardial infractions, 68 nonfatal strokes, and 275 deaths over 5 years. In the improved group, all of whom took statins, the corresponding numbers were 101, 65, and 259, equating to numbers needed to treat of 426, 639, and 127, respectively. Over the 5 years, there would be 0.018 life-years gained (discounted) at a net cost of $546 (discounted) per person. These equated to an incremental cost-effectiveness ratio of $29,717 per life-year gained., Conclusion: The results suggest that for patients with CAD, maximizing coverage with statins, in line with evidence-based recommendations, represents a cost-effective means of secondary prevention., (Copyright © 2011 Elsevier HS Journals, Inc. All rights reserved.)

Objective: The purpose of this study was to ascertain the impact of obesity on the cost of disease management in people with or at high risk of atherothrombotic disease from a governmental perspective using a bottom-up approach to cost estimation. In addition, the aim was also to explore the causes of any differences found., Method: The health-care costs of obesity were estimated from 2819 participants recruited into the nationwide Australian REACH Registry with established atherothrombotic disease or at least three risk factors for atherothrombosis. Enrollment was in 2004, through primary care general practices. Information was collected on the use of cardiovascular drugs, hospitalizations and ambulatory care services. 'Bottom-up' costing was undertaken by assigning unit costs to each health-care item, based on Australian Government-reimbursed figures 2006-2007. Linear-mixed models were used to estimate associations between direct medical costs and body mass index (BMI) categories., Results: Annual pharmaceutical costs per person increased with increasing BMI category, even after adjusting for gender, age, living place, formal education, smoking status, hypertension and diabetes. Adjusted annual pharmaceutical costs of overweight and obese participants were higher ($7 (P=0.004) and $144 (<0.001), respectively) than those of the normal weight participants. This was due to participants in higher BMI categories receiving more pharmaceuticals than normal weight participants. There was no significant change across the BMI categories in annual ambulatory care costs and annual hospital costs., Conclusion: In these participants with or at high risk of atherothrombotic disease, annual pharmaceutical costs were greater in participants of higher BMI category, but there was not such a gradient in the annual hospital or ambulatory care costs. The greater cardiovascular pharmaceutical costs for participants of higher BMI categories remained even after adjusting for a range of demographic factors and comorbidities. Our results suggest that these costs are explained by the higher number of drugs used among people with atherothrombotic disease. Further investigation is needed to understand the reasons for this level of drug use.

Australia's Pharmaceutical Benefits Scheme supports the use of effective drugs for the prevention and control of cardiovascular risk factors. However, there are little data available describing per person costs of medication in primary prevention and secondary prevention in the community. We aim to understand annual expenditure on cardiovascular medicines according to the level and extent of cardiovascular disease, using participants enrolled in the Reduction of Atherothrombosis for Continued Health (REACH) registry. 2873 participants were recruited into the REACH registry through 273 Australian general practices. Cardiovascular medicines review was undertaken at baseline. Average weighted costs of medications were estimated using government-reimbursed prices. Annual costs were stratified by disease extent and location. The annual mean cost of pharmaceuticals per person was 1307 AU dollars. The average reported medicine use per person across all states and participants groups varied significantly. Participants with cerebrovascular or peripheral arterial disease were prescribed less cardiovascular medication than those with coronary artery disease (CAD) (mean number of drugs 3.5 vs. 4.5, P < 0.0001) and (3.6 vs. 4.5, P < 0.0001), while those with risk factor alone had the same medication use as those with CAD (mean number 4.5). Medication use was lower in Western Australia in comparison to eastern States. Participants with existing cerebrovascular disease and peripheral vascular disease receive less preventive therapy than those with CAD or even risk factors alone. This observation is consistent across all mainland states. Given the evidence of the effectiveness and cost-effectiveness of treating all types of vascular diseases, the present study suggests that there is scope to improve the treatment of these high-risk participants in Australia.