Objective: To determine how well the current Pharmaceutical Benefits Scheme (PBS) eligibility criteria for subsidy of lipid-lowering drugs compare with current national guidelines for determining the population at high risk of developing cardiovascular disease (CVD). Design and participants: Analyses of the population-based, cross-sectional Australian Diabetes, Obesity and Lifestyle (AusDiab) study, conducted in 1999–2000. The 1991 Framingham risk prediction equation was used to compute 5-year risk of developing first-time CVD in 8286 participants aged 30–74 years with neither CVD nor diabetes. Based on the National Heart Foundation of Australia and Cardiac Society of Australia and New Zealand guidelines, people with either 5-year CVD risk ≥ 15% or with 5-year CVD risk of 10%–< 15% and the metabolic syndrome were defined as having estimated high absolute CVD risk. Main outcome measures: 5-year CVD risk; estimated population with high CVD risk. Results: Among participants without prevalent CVD or diabetes, 7.9% of men and 1.5% of women had a 5-year CVD risk ≥ 15%. Of the estimated residential Australian population in 2000 aged 30–74 years without CVD or diabetes, 717 000 people were considered to be at high absolute CVD risk. Among the high-risk AusDiab participants without CVD or diabetes, only 16.9% of men and 15.4% of women were being treated with lipid-lowering drugs. Of the 9.6% of participants free of CVD and diabetes who were untreated but eligible for subsidy under PBS criteria, only 27.4% had an estimated high absolute CVD risk. Conclusion: Strategies for CVD prevention using lipid-lowering medications can be improved by adoption of the absolute-risk approach.
The prevalence of diabetes mellitus among children, youth, and young adults is increasing, yet limited information is known about the characteristics and management of these groups with Type 1 (T1D) and Type 2 (T2D) diabetes in primary care. The aim of the study is to explore the characteristics of people with T1D and T2D aged < 25 years across the Auckland and Waikato regions of New Zealand.
To determine the incidence of hospitalisation for all diagnoses among Australian youth with type 1 diabetes.We linked Australians aged under 20 years with type 1 diabetes on the National Diabetes Services Scheme (n = 45,685) to hospital admission data from 2010 to 2019. We determined relative risks (RR) of hospitalisation among those with type 1 diabetes in the states of Victoria and Queensland (n = 21,898) compared to the general population for 2010-2017 using Poisson regression.Australian youth with type 1 diabetes had increased risk for almost all reasons for hospitalisation compared to the general population, especially infections such as anogenital herpesviral infections (RR 54.83, 95% CI 33.21-90.53), and mental health disorders including personality disorders (RR 9.70, 95% CI 8.02-11.72). Among those with type 1 diabetes, over 60% of hospitalisations were directly related to diabetes, almost half of which were for ketoacidosis. Approximately 15% of ketoacidosis admissions occurred within 3 months of diabetes diagnosis. One quarter of those with admissions for ketoacidosis were readmitted for ketoacidosis within 12 months. Residence in areas of high socio-economic disadvantage was an independent risk factor for admission and readmission for ketoacidosis.Youth with type 1 diabetes are susceptible to a wide range of complications. Clinicians should consider screening and prevention for conditions such as infections and mental health disorders. Targeted support and education around glycaemic management should be considered in those at high risk for ketoacidosis admission including those living in areas of high socio-economic disadvantage.
Emerging evidence suggests that psychosocial stress may influence weight gain. The relationship between stress and weight change and whether this was influenced by demographic and behavioral factors was explored.
To assess the accuracy of the Australian National Death Index (NDI) in identifying deaths and recording cardiovascular and cancer causes of death.Adjudicated mortality data from Australian participants in the Long-term Intervention with Pravastatin in Ischaemic Disease (LIPID) study up until September 1999 were used as reference. Nine hundred and eighty deceased subjects and 4,841 surviving subjects were matched to the NDI by name, date of birth, date of death and postcode. Matching rigour was confirmed by manual review. Deaths ascribed to cardiovascular and cancer causes within the NDI were also compared against LIPID-adjudicated causes.The NDI displayed 93.7% sensitivity and 100% specificity for the identification of deaths. Mis-recording of identifiers was responsible for 69% of known deaths not matching to the NDI and, if eliminated, would have increased the sensitivity to 98.0%. Among deceased subjects who matched to the NDI, cause of death was recorded in 96.2%. The sensitivity and specificity for cardiovascular deaths were 92.5% and 89.6%, respectively, and for cancer deaths 95.2% and 99.2%, respectively.Much of the inaccuracy of the NDI could potentially be overcome by the use of unique identifiers. Among deaths identified by the NDI, those due to cardiovascular disease are more likely to be inaccurately recorded than cancer-related deaths, probably because less uncertainty surrounds the presence or absence of terminal malignant disease.
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