PubMed Health⌕ Search

Biomedical subjects

B A Van Hout

Publications and source records attributed to B A Van Hout.

9 recordsLinked to original sources

The use of a surgical sealant (CoSeal) in cardiac and vascular reconstructive surgery: an economic analysis.

AIM: We designed a study to estimate the economic impact of CoSeal Surgical Sealant for the prevention of anastomotic bleeding in cardiac and vascular surgery. We also explored the potential economic value of CoSeal as a means of inhibiting the formation of pericardial tissue adhesions. METHODS: A Delphi panel of 6 expert vascular and cardiac surgeons provided the assumptions and estimates needed to develop a decision analysis model to assess the impact of sealant on the costs associated with low- and high-risk forms of cardiac (valve replacement/reconstruction) and vascular (abdominal aortic aneurysm [AAA] repair, femoral bypass grafting) surgery. The primary outcome was incremental cost per patient. RESULTS: For valve repair/replacement surgery, sealant was expected to confer cost-savings in high-risk but not low-risk procedures. Predicted cost savings for high-risk AAA repairs were substantial, but minimal in the overall AAA group. Cost-savings were predicted for sealant use in all femoral-popliteal ePTFE bypass grafts, but in high-risk femoral-femoral ePTFE bypass grafts only. CONCLUSIONS: According to our decision analysis model, routine use of surgical sealant in select subgroups may confer considerable economic benefits to health service budgets. Future research should aim at testing this model in a real-world hospital setting. Assessment of the value of CoSeal in the prevention of postsurgical adhesions showed that expert surgeons see a need for effective prophylaxis. Further research into the clinical and economic benefit of this intervention is required.

Anastomosis, Surgical↗

A Bayesian approach to economic analyses of clinical trials: the case of stenting versus balloon angioplasty.

New results about the costs and effects of a new therapy may be weighted with prior information. As such, classical confidence intervals surrounding the costs and effects of a therapy may not reflect the real uncertainties. Bayesian techniques may improve this by formalizing the way that prior information is taken into account in assessing the new evidence. Costs and effects can be analysed separately, but also, when considering the balance between costs and effects, they can be analysed simultaneously. Here, an example is given using data from two trials that compared costs and effectiveness of stent implantation with balloon angioplasty. The Bayesian results make it clear that different prior distributions may lead to different decisions, and it is concluded that even Bayesian analysis may not always reflect the process of capturing the remaining uncertainties.

Angioplasty, Balloon↗

Postmenopausal hormone therapy: less favourable risk-benefit ratios in healthy Dutch women.

OBJECTIVES: To estimate the health effects of postmenopausal hormone therapy used for 10 or 20 years in a population of intermediate cardiovascular risk. DESIGN: Using existing estimates of the effect of hormone therapy on rates of myocardial infarction, hip fracture and breast cancer, a proportional multistage life table was generated to calculate the effects of use for 10 and 20 years in a synthetic cohort of Dutch women aged 55 with an average and a high-risk profile for cardiovascular disease. RESULTS: A woman of the general population who starts hormone therapy at age 55 for 10 years can prolong her life by 1 month and may postpone the occurrence of first incidence of one of the diseases under consideration by 2.4 months. One excess breast cancer case is likely to occur per 5-6 averted cases of first myocardial infarction or hip fracture. If she prolongs her use to 20 years, the gain of life expectancy and disease-free life expectancy is doubled. The risk-benefit ratio worsens to one extra breast cancer per 3-4 averted cases of the preventable diseases. For a woman with a high-risk profile, the gains in health are about twice as high as for her counterpart in the general population, and her risk-benefit ratio is also more favourable. Yet, the risk-benefit ratio still worsens for 20 as compared with 10 years of use. CONCLUSIONS: Women from the general population in the Netherlands and similar populations can achieve only a modest gain in life expectancy by using hormones during 10 or 20 years following menopause. This is a consequence of the low incidence of myocardial infarction and hip fracture and the relatively high incidence of breast cancer before the age of 75. Women at increased cardiovascular risk can benefit more from hormone therapy. But even amongst these women, the risk of breast cancer incurred with long-term use offsets much of the benefit that could accrue from changing the risk of heart disease and hip fracture.

Aged↗

Hip fracture prediction in elderly men and women: validation in the Rotterdam study.

The aim of our study was to validate a hip fracture risk function, composed of age and femoral neck bone mineral density (BMD). This estimate of the 1-year cumulative risk was previously developed on the basis of Dutch hip fracture incidence data and BMD in men and women. A cohort of 7046 persons (2778 men) aged 55 years and over was followed for an average of 3.8 years. The 1-year hip fracture risk estimate was calculated for each participant according to the risk function and categorized as low (<0.1%), moderate (0.1 to < 1%), or high (> or =1%). Observed first hip fracture incidence was then analyzed for each of these risk categories by age and gender. Additionally, we calculated the relative risk per standard deviation (SD) decrease in femoral neck BMD in this population. At baseline, 2360 individuals were categorized as low risk, 2567 as moderate risk, and 378 as high risk During follow-up, 110 first hip fractures were observed corresponding to an incidence rate of 4.1/1000 person-years (pyrs) (95% confidence interval 3.4-5.0). The observed incidence rate in the low risk group was 0.2/1000 pyrs (0.1-0.9), 2.7/1000 pyrs (1.8-3.9) in the moderate risk group, and 18.4/1000 pyrs (12.4-27.2) in the high risk group. Below the age of 70 years, incidence was low in all categories, and very few individuals were considered at high risk Above the age of 70 years, the observed incidence was high in the high risk group, while in the low and moderate risk groups, the incidence remained low even over 80 years of age. In women, the age-adjusted relative risk for hip fractures was 2.5 per SD decrease in femoral neck BMD (1.8-3.6), while in men this relative risk was 3.0 per SD (1.7-5.4). In conclusion, we observed a similar relation of hip fracture with femoral neck BMD in men and women and were able to predict accurately hip fracture rates over a period of almost 4 years.

Aged↗

Cost effectiveness of stent implantation versus PTCA: the BENESTENT experience.

The aim of this paper is to assess the costs and effects of stent implantation versus percutaneous transluminal coronary angioplasty (PTCA). Data have been taken from both the BENESTENT-I and BENESTENT-II pilot study. Effects are expressed in terms of event-free survival and costs include those of the initial hospitalization and those during follow-up. The costs per additional event-free survivor after 7 months are estimated at Dfl 88,315, Dfl 28,127 and Dfl 6747 using respectively the results from the BENSTENT-I study, the BENESTENT-II pilot study and phase IV of the BENESTENT-II pilot study. Significant decreases in complications and ischaemic events have made stent implantation not only the most favourable in terms of event-free survival but also in terms of cost effectiveness.

Angioplasty, Balloon, Coronary↗

Assessing the benefits of transplant services.

This chapter presents some methods for the assessment of transplant benefits, using the example of liver transplantation. An independent assessment of the benefits of medical technology is especially important for evaluation of the balance between the costs and benefits involved. To enable comparison with other health-care facilities, benefits are defined in terms of a combination of life-years gained and quality of life. The number of life-years gained can be calculated by comparing the survival expected with and without transplantation. Survival with transplantation is estimated on the basis of observed survival, acknowledging that the probability of survival may have changed over time, owing to changes in therapy and selection criteria. To estimate survival without transplantation, several techniques are available. Prognostic models, correcting for stage of disease, are often used. Pitfalls in the use of these models are discussed. The number of life-years gained can be corrected for quality of life by weighing survival with and without transplantation with an index representing quality of life. A method for the calculation of such an index is given. Finally, some cost estimates are presented and the results are discussed.

Cost-Benefit Analysis↗

[Cost-effectiveness analysis of human monoclonal antibody HA-1A in patients with sepsis syndrome].

The efficiency of prescribing HA-1A for sepsis patients is analysed by comparing direct medical costs and effects. Effects are estimated on the basis of published data from a randomised clinical trial. Costs are analysed by combining data from the same trial with expectations about hospital days. Average costs per life year gained are estimated at DF1. 25,000. Sensitivity analysis is applied and the efficiency of treating patients with HA1A is shown to depend highly on the expected duration of survival after successful treatment. This leads to the advice to take epidemiologic knowledge into special account before setting the indication for using HA-1A.

Antibodies, Monoclonal↗

Modelling in economic evaluation: an unavoidable fact of life.

The role of modelling in economic evaluation is explored by discussing, with examples, the uses of models. The expanded use of pragmatic clinical trials as an alternative to models is discussed. Some suggestions for good modelling practice are made.

Clinical Trials as Topic↗