ABSTRACT
BACKGROUND: The increase in use and costs of assisted reproductive therapies including in-vitro fertilization (IVF) has led to debate over public funding. A decision analytic model was designed to estimate the incremental cost-effectiveness of IVF by additional treatment programmes and maternal age. METHODS: Data from the Australian and New Zealand Assisted Reproductive Database were used to estimate incremental effects (live birth and other pregnancy outcomes) and costs for cohorts of women attempting up to three treatment programmes. A treatment programme included one fresh cycle and a variable number of frozen cycles dependent on maternal age. RESULTS: The incremental cost per live birth ranged from AU dollars 27 373 and AU dollars 31 986 for women aged 30-33 on their first and third programmes to AU dollars 130 951 and AU dollars 187 515 for 42-45-year-old women on their first and second attempts. Overall, these trends were not affected by inclusions of costs associated with ovarian hyperstimulation syndrome or multiple births. CONCLUSIONS: This study suggests that cost per live birth from IVF increases with maternal age and treatment programme number and indicates that maternal age has the much greater effect. This evidence may help decisionmakers target the use of IVF services conditional on societal willingness to pay for live births and equity considerations.
Subject(s)
Fertilization in Vitro/economics , Maternal Age , Adult , Australia , Cost-Benefit Analysis , Decision Support Techniques , Evidence-Based Medicine , Female , Fertilization in Vitro/methods , Fertilization in Vitro/statistics & numerical data , Humans , Infant, Newborn , Middle Aged , Models, Statistical , New Zealand , Pregnancy , Pregnancy OutcomeABSTRACT
OBJECTIVE: We explored whether cardiovascular disease (CVD) risk and the effects of fenofibrate differed in subjects with and without metabolic syndrome and according to various features of metabolic syndrome defined by the Adult Treatment Panel III (ATP III) in subjects with type 2 diabetes in the Fenofibrate Intervention and Event Lowering in Diabetes (FIELD) study. RESEARCH DESIGN AND METHODS: The prevalence of metabolic syndrome and its features was calculated. Cox proportional models adjusted for age, sex, CVD status, and baseline A1C levels were used to determine the independent contributions of metabolic syndrome features to total CVD event rates and the effects of fenofibrate. RESULTS: More than 80% of FIELD participants met the ATP III criteria for metabolic syndrome. Each ATP III feature of metabolic syndrome, apart from increased waist circumference, increased the absolute risk of CVD events over 5 years by at least 3%. Those with marked dyslipidemia (elevated triglycerides >or=2.3 mmol/l and low HDL cholesterol) were at the highest risk of CVD (17.8% over 5 years). Fenofibrate significantly reduced CVD events in those with low HDL cholesterol or hypertension. The largest effect of fenofibrate to reduce CVD risk was observed in subjects with marked dyslipidemia in whom a 27% relative risk reduction (95% CI 9-42, P = 0.005; number needed to treat = 23) was observed. Subjects with no prior CVD had greater risk reductions than the entire group. CONCLUSIONS: Metabolic syndrome components identify higher CVD risk in individuals with type 2 diabetes, so the absolute benefits of fenofibrate are likely to be greater when metabolic syndrome features are present. The highest risk and greatest benefits of fenofibrate are seen among those with marked hypertriglyceridemia.
