Gaps in the Care of Familial Hypercholesterolaemia in Australia: First Report From the National Registry.

BACKGROUND: Familial hypercholesterolaemia (FH) is under-diagnosed and under-treated worldwide, including Australia. National registries play a key role in identifying patients with FH, understanding gaps in care and advancing the science of FH to improve care for these patients. METHODS: The FH Australasia Network has established a national web-based registry to raise awareness of the condition, facilitate service planning and inform best practice and care services in Australia. We conducted a cross-sectional analysis of 1,528 FH adults enrolled in the registry from 28 lipid clinics. RESULTS: The mean age at enrolment was 53.4±15.1 years, 50.5% were male and 54.3% had undergone FH genetic testing, of which 61.8% had a pathogenic FH-causing gene variant. Only 14.0% of the cohort were family members identified through cascade testing. Coronary artery disease (CAD) was reported in 28.0% of patients (age of onset 49.0±10.5 years) and 64.9% had at least one modifiable cardiovascular risk factor. The mean untreated LDL-cholesterol was 7.4±2.5 mmol/L. 80.8% of patients were on lipid-lowering therapy with a mean treated LDL-cholesterol of 3.3±1.7 mmol/L. Among patients receiving lipid-lowering therapies, 25.6% achieved an LDL-cholesterol target of <2.5 mmol/L without CAD or <1.8 mmol/L with CAD. CONCLUSION: Patients in the national FH registry are detected later in life, have a high burden of CAD and risk factors, and do not achieve guideline-recommended LDL-cholesterol targets. Genetic and cascade testing are under-utilised. These deficiencies in care need to be addressed as a public health priority.

Quantifying the hidden healthcare cost of diabetes mellitus in Australian hospital patients.

BACKGROUND: Diabetes mellitus in hospital inpatients is most commonly present as a comorbidity rather than as the primary diagnosis. In some hospitals, the prevalence of comorbid diabetes mellitus across all inpatients exceeds 30%, which could add to complexity of care and resource utilisation. However, whether and to what extent comorbid diabetes mellitus contributes indirectly to greater hospitalisation costs is ill-defined. AIM: To determine the attributable effect of comorbid diabetes mellitus on hospital resource utilisation in a General Internal Medical service in Melbourne, Australia. METHODS: We extracted data from a database of all General Internal Medical discharge episodes from July 2012 to June 2013. We fitted multivariable regression models to compare patients with diabetes mellitus to those without diabetes mellitus with respect to hospitalisation cost, length of stay, admissions per year and inpatient mortality. RESULTS: Of 4657 patients 1519 (33%) had diabetes mellitus, for whom average hospitalisation cost (AUD9910) was higher than those without diabetes mellitus (AUD7805). In multivariable analysis, this corresponded to a 1.22-fold (95% confidence interval (CI) 1.12-1.33, P < 0.001) higher cost. Mean length of stay for those with diabetes was 8.2 days versus 6.8 days for those without diabetes, with an adjusted 1.19-fold greater odds (95% CI 1.06-1.33, P = 0.001) of staying an additional day. Number of admissions and mortality were similar. CONCLUSION: Comorbid diabetes mellitus adds significantly to hospitalisation duration and costs in medical inpatients. Moreover, diabetes mellitus patients with chronic complications had a greater-still cost and hospitalisation duration compared to those without diabetes mellitus.

Association of weight misperception with weight loss in a diabetes prevention program.

BACKGROUND: Weight misperception may have an impact on perceived risk and susceptibility for chronic diseases. Little has been reported on the long term effects of this misperception in chronic disease interventions, particularly in field of diabetes prevention. The aim of this study was to investigate the relationship between weight misperception and weight loss during a diabetes prevention project conducted in south-east Australia with individuals at moderate to high risk of developing diabetes. METHODS: A total of n=251 at risk individuals provided self-reported weight during recruitment from 2004-2006. Objectively measured weight was assessed at baseline (0-21 days after recruitment), and subsequently at three months and 12 months after the intervention. Differences between self-reported and actual weight status are presented as percentages. Linear regression was used to investigate the relationship between weight misperception and weight loss, adjusting for baseline weight and BMI. RESULTS: Those who had high levels of under-reporting at baseline had greater weight loss at three and 12 months compared with those who under-reported to some degree, and those over-reporting their weight. A significant association was found between weight misperception and weight loss at the three and the 12 month time points. Baseline weight was not associated with weight loss. CONCLUSIONS: Weight misperception should be acknowledged as a factor to be addressed when screening and identifying individuals at risk for diabetes. Screening and giving feedback is important in terms of awareness of participants' actual weight status and may have an effect on program outcomes.

The potential for measuring ethnicity and health in a multicultural milieu--the case of type 2 diabetes in Australia.

OBJECTIVE: Ethnicity influences health in many ways. For example, type 2 diabetes (T2DM) is disproportionately prevalent among certain ethnic groups. Assessing ethnicity is difficult, and numerous proxy measures are used to capture its various components. Australian guidelines specify a set of variables for measuring ethnicity, and how such parameters should be categorised. Using T2DM data collections as an illustrative example, this study sought to examine how ethnicity is measured in Australian health databases and, by comparing current practice with Australia's existing benchmark recommendations, to identify potential areas for improvement of the health data landscape. DESIGN: We identified databases containing information from which ethnic group-specific estimates of T2DM burden may be gleaned. For each database, details regarding ethnicity variables were extracted, and compared with the Australian guidelines. RESULTS: Data collection instruments for 32 relevant databases were reviewed. Birthplace was recorded in 27 databases (84%), but mode of birthplace assessment varied. Indigenous status was commonly recorded (78%, n=25), but only nine databases recorded other aspects of self-perceived race/ethnicity. Of 28 survey/audit databases, 14 accommodated linguistic preferences other than English, and 11 either excluded non-English speakers or those for whom a translator was not available, or only offered questionnaires in English. CONCLUSIONS: Considerable variation exists in the measurement of ethnicity in Australian health data-sets. While various markers of ethnicity provide complementary information about the ethnic profile within a data-set, non-uniform measurement renders comparison between data-sets difficult. A standardised approach is necessary, and identifying the ethnicity variables that are particularly relevant to the health sector is warranted. Including self-identified ethnicity in Australia's set of recommended indicators and as a core component of the national census should be considered. Globalisation and increasing migration mean that these findings have implications internationally, including for multi-ethnic countries throughout North America and Europe.

Type 2 diabetes prevalence varies by socio-economic status within and between migrant groups: analysis and implications for Australia.

BACKGROUND: Ethnic diversity is increasing through migration in many developed countries. Evidence indicates that type 2 diabetes mellitus (T2DM) prevalence varies by ethnicity and socio-economic status (SES), and that in many settings, migrants experience a disproportionate burden of disease compared with locally-born groups. Given Australia's multicultural demography, we sought to identify groups at high risk of T2DM in Victoria, Australia. METHODS: Using population data from the Australian National Census and diabetes data from the National Diabetes Services Scheme, prevalence of T2DM among immigrant groups in Victoria in January 2010 was investigated, and prevalence odds versus Australian-born residents estimated. Distribution of T2DM by SES was also examined. RESULTS: Prevalence of diagnosed T2DM in Victoria was 4.1% (n = 98671) in men and 3.5% (n = 87608) in women. Of those with T2DM, over 1 in 5 born in Oceania and in Southern and Central Asia were aged under 50 years. For both men and women, odds of T2DM were higher for all migrant groups than the Australian-born reference population, including, after adjusting for age and SES, 6.3 and 7.2 times higher for men and women born in the Pacific Islands, respectively, and 5.2 and 5.0 times higher for men and women born in Southern and Central Asia, respectively. Effects of SES varied by region of birth. CONCLUSIONS: Large socio-cultural differences exist in the distribution of T2DM. Across all socio-economic strata, all migrant groups have higher prevalence of T2DM than the Australian-born population. With increasing migration, this health gap potentially has implications for health service planning and delivery, policy and preventive efforts in Australia.

Occupational differences, cardiovascular risk factors and lifestyle habits in South Eastern rural Australia.

BACKGROUND: In rural and remote Australia, cardiovascular mortality and morbidity rates are higher than metropolitan rates.This study analysed cardiovascular and other chronic disease risk factors and related health behaviours by occupational status, to determine whether agricultural workers have higher cardiovascular disease (CVD) risk than other rural workers. METHODS: Cross-sectional surveys in three rural regions of South Eastern Australia (2004-2006). A stratified random sample of 1001 men and women aged 25-74 from electoral rolls were categorised by occupation into agricultural workers (men = 214, women = 79), technicians (men = 123), managers (men = 148, women = 272) and 'home duties' (women = 165). Data were collected from self-administered questionnaire, physical measurements and laboratory tests. Cardiovascular disease (CVD) and coronary heart disease (CHD) risk were assessed by Framingham 5 years risk calculation. RESULTS: Amongst men, agricultural workers had higher occupational physical activity levels, healthier more traditional diet, lower alcohol consumption, lower fasting plasma glucose, the lowest proportion of daily smokers and lower age-adjusted 5 year CVD and CHD risk scores.Amongst women, managers were younger with higher HDL cholesterol, lower systolic blood pressure, less hypertension, lower waist circumference, less self-reported diabetes and better 5 year CVD and CHD risk scores.Agricultural workers did not have higher cardiovascular disease risk than other occupational groups. CONCLUSIONS: Previous studies have suggested that farmers have higher risks of cardiovascular disease but this is because the risk has been compared with non-rural populations. In this study, the comparison has been made with other rural occupations. Cardiovascular risk reduction programs are justified for all. Programs tailored only for agricultural workers are unwarranted.

Chronic disease IMPACT (chronic disease early detection and improved management in primary care project): An Australian stepped wedge cluster randomised trial.

Background: Interrelated chronic vascular diseases (chronic kidney disease (CKD), type 2 diabetes (T2D) and cardiovascular disease (CVD)) are common with high morbidity and mortality. This study aimed to assess if an electronic-technology-based quality improvement intervention in primary care could improve detection and management of people with and at risk of these diseases. Methods: Stepped-wedge trial with practices randomised to commence intervention in one of five 16-week periods. Intervention included (1) electronic-technology tool extracting data from general practice electronic medical records and generating graphs and lists for audit; (2) education regarding chronic disease and the electronic-technology tool; (3) assistance with quality improvement audit plan development, benchmarking, monitoring and support. De-identified data analysis using R 3.5.1 conducted using Bayesian generalised linear mixed model with practice and time-specific random intercepts. Results: At baseline, eight included practices had 37,946 active patients (attending practice ≥3 times within 2 years) aged ≥18 years. Intervention was associated with increased OR (95% CI) for: kidney health checks (estimated glomerular filtration rate, urine albumin:creatinine ratio (uACR) and blood pressure) in those at risk 1.34 (1.26-1.42); coded diagnosis of CKD 1.18 (1.09-1.27); T2D diagnostic testing (fasting glucose or HbA1c) in those at risk 1.15 (1.08-1.23); uACR in patients with T2D 1.78 (1.56-2.05). Documented eye checks within recommended frequency in patients with T2D decreased 0.85 (0.77-0.96). There were no significant changes in other assessed variables. Conclusions: This electronic-technology-based intervention in primary care has potential to help translate guidelines into practice but requires further refining to achieve widespread improvements across the interrelated chronic vascular diseases.

Plasma concentration of pigment epithelium-derived factor is closely associated with blood pressure and predicts incident hypertension in Chinese: a 10-year prospective study.

OBJECTIVES: Pigment epithelium-derived factor (PEDF) is secreted from the adipose tissue. It circulates at high concentrations, and was reported to play a causal role in obesity-induced insulin resistance and metabolic dysfunctions in mice. Previous cross-sectional studies also demonstrated plasma PEDF concentration correlated positively with systolic blood pressure (BP) and pulse pressure, and inversely with small artery elasticity. Here we investigated the relationship of plasma PEDF concentration with BP and incident hypertension in a 10-year prospective study. METHODS: Baseline plasma PEDF concentrations were measured by ELISA in 520 Chinese subjects, aged 51 ± 12 years, followed up long-term from the population-based Hong Kong Cardiovascular Risk Factor Prevalence Study. The association between plasma PEDF concentration and BP was investigated in both cross-sectional and prospective studies, using multiple linear regression and path analyses. Cox proportional hazards analysis was used to determine whether baseline PEDF concentration was independently related to the subsequent development of hypertension over 10 years. RESULTS: Baseline plasma concentrations of PEDF were higher in men (P < 0·001), and were directly related to systolic BP at 2 and 5 years, and to diastolic BP at 2 years, after adjustment for covariates. Of the 386 normotensive subjects at baseline, high baseline PEDF concentration was predictive of incident hypertension, independent of the effects of age, sex, baseline BP and obesity parameters (hazard ratio: 1·135; 95% CI: 1·039-1·241; P = 0·005). CONCLUSION: Our data suggest that plasma PEDF concentration is significantly associated with BP, and incident hypertension. PEDF may be involved in the pathogenesis of hypertension in humans.

A pilot study evaluating multiple risk factor interventions by community pharmacists to prevent cardiovascular disease: the PAART CVD pilot project.

BACKGROUND: There is insufficient evidence for the efficacy of comprehensive multiple risk factor interventions by pharmacists in the primary prevention of cardiovascular disease (CVD). Given the proven benefits of pharmacist interventions for individual risk factors, it is essential that evidence for a comprehensive approach to care be generated so that pharmacists remain key members of the health care team for individuals at risk of initial onset of CVD. OBJECTIVE: To establish the feasibility of an intervention delivered by community pharmacists to reduce the risk of primary onset of CVD. METHODS: A single-cohort intervention study was undertaken in 2008-2009. Twelve community pharmacists from 10 pharmacies who were trained to provide lifestyle and medicine management support to reduce CVD risk recruited 70 at-risk participants aged 50-74 years who were free from diabetes or CVD. Participants received a baseline assessment to establish CVD risk and health behaviors. An assessment report provided to patients and pharmacists was used to collaboratively establish treatment goals and, over 5 sessions, implement treatment strategies. Follow-up assessment at 6 months measured changes in baseline parameters. The primary outcome was the average change to overall 5-year risk of CVD onset. RESULTS: Sixty-seven participants were included in the analysis. The mean participant age was 60 years and 73% were female. We observed a 25% (95% CI 17 to 33) proportional risk reduction in overall CVD risk. Significant reductions also occurred in mean blood pressure (-11/-5 mm Hg) and waist circumference (-1.3 cm), with trends toward improvement for most other observed risk factors. CONCLUSIONS: Findings support previous evidence of positive cardiovascular health outcomes following pharmacist intervention in other patient groups; we recommend generating randomized controlled trial evidence for a primary prevention population.

Recruitment into diabetes prevention programs: what is the impact of errors in self-reported measures of obesity?

BACKGROUND: Error in self-reported measures of obesity has been frequently described, but the effect of self-reported error on recruitment into diabetes prevention programs is not well established. The aim of this study was to examine the effect of using self-reported obesity data from the Finnish diabetes risk score (FINDRISC) on recruitment into the Greater Green Triangle Diabetes Prevention Project (GGT DPP). METHODS: The GGT DPP was a structured group-based lifestyle modification program delivered in primary health care settings in South-Eastern Australia. Between 2004-05, 850 FINDRISC forms were collected during recruitment for the GGT DPP. Eligible individuals, at moderate to high risk of developing diabetes, were invited to undertake baseline tests, including anthropometric measurements performed by specially trained nurses. In addition to errors in calculating total risk scores, accuracy of self-reported data (height, weight, waist circumference (WC) and Body Mass Index (BMI)) from FINDRISCs was compared with baseline data, with impact on participation eligibility presented. RESULTS: Overall, calculation errors impacted on eligibility in 18 cases (2.1%). Of n = 279 GGT DPP participants with measured data, errors (total score calculation, BMI or WC) in self-report were found in n = 90 (32.3%). These errors were equally likely to result in under- or over-reported risk. Under-reporting was more common in those reporting lower risk scores (Spearman-rho = -0.226, p-value < 0.001). However, underestimation resulted in only 6% of individuals at high risk of diabetes being incorrectly categorised as moderate or low risk of diabetes. CONCLUSIONS: Overall FINDRISC was found to be an effective tool to screen and recruit participants at moderate to high risk of diabetes, accurately categorising levels of overweight and obesity using self-report data. The results could be generalisable to other diabetes prevention programs using screening tools which include self-reported levels of obesity.

Potential of pharmacists to help reduce the burden of poorly managed cardiovascular risk.

INTRODUCTION: Rural areas require better use of existing health professionals to ensure capacity to deliver improved cardiovascular outcomes. Community pharmacists (CPs) are accessible to most communities and can potentially undertake expanded roles in prevention of cardiovascular disease (CVD). OBJECTIVE: This study aims to establish frequency of contact with general practitioners (GPs) and CPs by patients at high risk of CVD or with inadequately controlled CVD risk factors. DESIGN, SETTING AND PARTICIPANTS: Population survey using randomly selected individuals from the Wimmera region electoral roll and incorporating a physical health check and self-administered health questionnaire. Overall, 1500 were invited to participate. RESULTS: The participation rate was 51% when ineligible individuals were excluded. Nine out of 10 participants visited one or both types of practitioner in the previous 12 months. Substantially more participants visited GPs compared with CPs (88.5% versus 66.8%). With the exception of excess alcohol intake, the median number of opportunities to intervene for every inadequately controlled CVD risk factor and among high risk patient groups at least doubled for the professions combined when compared with GP visits alone. CONCLUSION: Opportunities exist to intervene more frequently with target groups by engaging CPs more effectively but would require a significant attitude shift towards CPs. Mechanisms for greater pharmacist integration into primary care teams should be investigated.

Using electronic medical record data to assess chronic kidney disease, type 2 diabetes and cardiovascular disease testing, recognition and management as documented in Australian general practice: a cross-sectional analysis.

OBJECTIVES: To evaluate the capacity of general practice (GP) electronic medical record (EMR) data to assess risk factor detection, disease diagnostic testing, diagnosis, monitoring and pharmacotherapy for the interrelated chronic vascular diseases-chronic kidney disease (CKD), type 2 diabetes (T2D) and cardiovascular disease. DESIGN: Cross-sectional analysis of data extracted on a single date for each practice between 12 April 2017 and 18 April 2017 incorporating data from any time on or before data extraction, using baseline data from the Chronic Disease early detection and Improved Management in PrimAry Care ProjecT. Deidentified data were extracted from GP EMRs using the Pen Computer Systems Clinical Audit Tool and descriptive statistics used to describe the study population. SETTING: Eight GPs in Victoria, Australia. PARTICIPANTS: Patients were ≥18 years and attended GP ≥3 times within 24 months. 37 946 patients were included. RESULTS: Risk factor and disease testing/monitoring/treatment were assessed as per Australian guidelines (or US guidelines if none available), with guidelines simplified due to limitations in data availability where required. Risk factor assessment in those requiring it: 30% of patients had body mass index and 46% blood pressure within guideline recommended timeframes. Diagnostic testing in at-risk population: 17% had diagnostic testing as per recommendations for CKD and 37% for T2D. Possible undiagnosed disease: Pathology tests indicating possible disease with no diagnosis already coded were present in 6.7% for CKD, 1.6% for T2D and 0.33% familial hypercholesterolaemia. Overall prevalence: Coded diagnoses were recorded in 3.8% for CKD, 6.6% for T2D, 4.2% for ischaemic heart disease, 1% for heart failure, 1.7% for ischaemic stroke, 0.46% for peripheral vascular disease, 0.06% for familial hypercholesterolaemia and 2% for atrial fibrillation. Pharmaceutical prescriptions: the proportion of patients prescribed guideline-recommended medications ranged from 44% (beta blockers for patients with ischaemic heart disease) to 78% (antiplatelets or anticoagulants for patients with ischaemic stroke). CONCLUSIONS: Using GP EMR data, this study identified recorded diagnoses of chronic vascular diseases generally similar to, or higher than, reported national prevalence. It suggested low levels of extractable documented risk factor assessments, diagnostic testing in those at risk and prescription of guideline-recommended pharmacotherapy for some conditions. These baseline data highlight the utility of GP EMR data for potential use in epidemiological studies and by individual practices to guide targeted quality improvement. It also highlighted some of the challenges of using GP EMR data.

The projected impact of population and high-risk strategies for risk-factor control on coronary heart disease and stroke events.

OBJECTIVE: To model the impact of both population and high-risk strategies on cardiovascular disease (CVD) outcomes. DESIGN, SETTING AND PARTICIPANTS: A CVD risk-factor survey was carried out in rural south-eastern Australia from 2004 to 2006. Using a stratified random sample, data for 1116 participants aged 35-74 years were analysed. Applying the Framingham risk equations to risk-factor data, 5-year probabilities of a coronary heart disease event, stroke and cardiovascular event were calculated. The effect of different changes in risk factors were modelled to assess the extent to which cardiovascular diseases can be prevented by changing the risk factors at a population level (population strategy), among the high-risk individuals (high-risk strategy) or both. RESULTS: Among men, a population strategy could reduce cardiovascular events by 19.3% (193 per 1000 per 5 years), the high-risk strategy by 12.6% (126 per 1000) and a combined strategy by 24.1% (241 per 1000); and among women, by 21.9% (219 per 1000), 19.0% (190 per 1000) and 28.7% (287 per 1000), respectively. CONCLUSIONS: For prevention of CVD in Australia, it is important both to treat high-risk individuals and to reduce the mean risk-factor levels in the population. We show how risk-factor survey data can be used to set targets for prevention and to monitor progress in line with the recommendations of the National Preventative Health Taskforce.

Effect of apolipoprotein E genotype on apolipoprotein B-100 metabolism in normolipidemic and hyperlipidemic subjects.

The effect of apolipoprotein (apo) E genotype on apoB-100 metabolism was examined in three normolipidemic apoE2/E2, five type III hyperlipidemic apoE2/E2, and five hyperlipidemic apoE3/E2 subjects using simultaneous administration of (131)I-VLDL and (125)I-LDL, and multi-compartmental modeling. Compared with normolipidemic apoE2/E2 subjects, type III hyperlipidemic E2/E2 subjects had increased plasma and VLDL cholesterol, plasma and VLDL triglycerides, and VLDL and intermediate density lipoprotein (IDL) apoB concentrations (P < 0.05). These abnormalities were chiefly a consequence of decreased VLDL and IDL apoB fractional catabolic rate (FCR). Compared with hyperlipidemic E3/E2 subjects, type III hyperlipidemic E2/E2 subjects had increased IDL apoB concentration and decreased conversion of IDL to LDL particles (P < 0.05). In a pooled analysis, VLDL cholesterol was positively associated with VLDL and IDL apoB concentrations and the proportion of VLDL apoB in the slowly turning over VLDL pool, and was negatively associated with VLDL apoB FCR after adjusting for subject group. VLDL triglyceride was positively associated with VLDL apoB concentration and VLDL and IDL apoB production rates after adjusting for subject group. A defective apoE contributes to altered lipoprotein metabolism but is not sufficient to cause overt hyperlipidemia. Additional genetic mutations and environmental factors, including insulin resistance and obesity, may contribute to the development of type III hyperlipidemia.

High density lipoprotein-cholesterol levels increase with age in American women but not in Hong Kong Chinese women.

OBJECTIVES: High-density lipoprotein (HDL) cholesterol is a powerful cardiovascular risk factor. Important gender and ethnic differences in plasma HDL levels exist and warrant investigation. DESIGN: Cross-sectional survey in two different general populations. Patients 7700 participants of the National Health and Nutrition Examination Survey (NHANES) 1999-2002 and 1944 participants of the Hong Kong Cardiovascular Risk Factor Prevalence Study-2 (CRISPS2) 2000-2004. MEASUREMENTS: Plasma HDL levels. RESULTS: Plasma HDL levels were higher in women than in men in both populations. In the United States women, it increased with age, whereas in Chinese women, it declined with age and converged with male HDL levels. In the United States, 37.1 +/- 1.2% men and 38.9 +/- 1.1% women had low HDL levels. In Hong Kong, 34.3 +/- 1.6% men and 34.5 +/- 1.5% women had low HDL levels. In Americans, the independent predictors of low HDL levels were lower age, being non-Mexican Hispanic, waist circumference, triglycerides and not drinking alcohol in men, and lower age, being Hispanic, waist circumference, triglycerides, current smoking and not drinking alcohol in women. In Hong Kong Chinese, the independent predictors of low HDL levels were body mass index, triglycerides, current smoking and not drinking alcohol in men, and lower age, waist circumference, triglycerides, diabetes and former smoking in women. CONCLUSIONS: The decline in plasma HDL with age in Chinese women is opposite to that seen in American women. The increased cardiovascular risk in elderly Chinese women requires further study.

The association of levels of physical activity with metabolic syndrome in rural Australian adults.

BACKGROUND: Physical activity (PA) reduces risk factors related to metabolic syndrome. Rurality influences the way people incorporate physical activity into daily life. The aim of this study is to determine the association of PA level with metabolic syndrome in a rural Australian population. The influence of adiposity on these associations is also investigated. METHODS: Three cross-sectional population health surveys were conducted in south-east Australia during 2004-2006 using a random population sample (n = 1563, participation rate 49%) aged 25-74 years. PA was assessed via a self-administered questionnaire, and components of the metabolic syndrome via anthropometric measurements taken by specially trained nurses and laboratory tests. RESULTS: Approximately one-fifth of participants were inactive in leisure-time and over one-third had metabolic syndrome (men 39%, women 33%; p = 0.022). There was an inverse association between level of PA and metabolic syndrome (p < 0.001). Men who were inactive in leisure-time were more than twice as likely and women more than three times as likely to have metabolic syndrome compared with those having high PA. Body mass index (BMI) is a mediating factor in the association between level of PA and metabolic syndrome. CONCLUSION: Some PA is better than none if adults, particularly women, are to reduce their risk of metabolic syndrome and associated vascular diseases. Specialised interventions that take rurality into consideration are recommended for adults who are inactive.

Respiratory viruses in adults hospitalised with Community-Acquired Pneumonia during the non-winter months in Melbourne: Routine diagnostic practice may miss large numbers of influenza and respiratory syncytial virus infections.

Background: Community-Acquired Pneumonia (CAP) is one of the highest health burden conditions in Australia. Disease notifications and other data from routine diagnosis suffers from selection bias that may misrepresent the true contribution of various aetiological agents. However existing Australian prospective studies of CAP aetiology have either under-represented elderly patients, not utilised Polymerase Chain Reaction (PCR) diagnostics or been limited to winter months. We therefore sought to re-evaluate CAP aetiology by systematically applying multiplex PCR in a representative cohort of mostly elderly patients hospitalised in Melbourne during non-winter months and compare diagnostic results with those obtained under usual conditions of care. Methods: Seventy two CAP inpatients were prospectively enrolled over 2 ten-week blocks during non-winter months in Melbourne in 2016-17. Nasopharyngeal and oropharyngeal swabs were obtained at admission and analysed by multiplex-PCR for 7 respiratory viruses and 5 atypical bacteria. Results: Median age was 74 (interquartile range 67-80) years, with 38 (52.8%) males and 34 (47.2%) females. PCR was positive in 24 (33.3%), including 12 Picornavirus (50.5% of those with a virus), 4 RSV (16.7%) and 4 influenza A (16.7%). CAP-Sym questionnaire responses were similar in those with and without viral infections. Most (80%) pathogens detected by the study, including all 8 cases of influenza and RSV, were not otherwise detected by treating clinicians during hospital admission. Conclusion: One third of patients admitted with CAP during non-winter months had PCR-detectable respiratory viral infections, including many cases of influenza and RSV that were missed by existing routine clinical diagnostic processes.

Patient-reported outcome measurement in community-acquired pneumonia: feasibility of routine application in an elderly hospitalized population.

BACKGROUND: Community-acquired pneumonia (CAP) is a leading cause of morbidity and mortality worldwide, but few studies have evaluated the feasibility of routine patient-reported outcome measures (PROMs) in this illness. This study investigates the feasibility and limitations of three credible PROM instruments in a representative hospitalized cohort to identify potential barriers to routine application. METHODS: A sample of multimorbid hospitalized subjects meeting a standardized CAP definition was recruited. Demographic and clinical data of those able and unable to participate in PROM assessment were compared. The EQ-5D-5L, CAP-Sym 18 Questionnaire, and Late-Life Function and Disability Instrument (LLFDI) were administered (via face-to-face interview) at admission and discharge and (via phone interview or mail) at 30 and 90 days post-discharge. Feasibility measures included the proportion of individuals able to participate in assessment, attrition rates, data completeness, and instrument completion times. Scores at admission and 30 days post-discharge were examined for association with age. RESULTS: Of 82 subjects screened, 44 (54%) participated. Cognitive impairment (n = 12, 15%) commonly precluded participation. Seventeen (39%) participants were lost to follow-up by 90 days. Missing data at item level was negligible for all instruments, regardless of the mode of completion. Completion of the three instruments collectively in a face-to-face interview took a median of 17 min (IQ range 13-21) per participant. The burden of reported symptoms at admission was higher for younger participants aged 18-74 years (mean (standard deviation)) CAP-Sym 18 score at admission 34.2 (18.6) vs. 19.0 (11.3) for those aged ≥ 75 years. CONCLUSIONS: Routine application of PROMs can provide valuable information relating to multiple aspects of clinical recovery for individuals hospitalized with CAP. However, heterogeneous demographic characteristics and complex underlying health status introduce challenges to feasibility and interpretability of these instruments in this population. TRIAL REGISTRATION: ClinicalTrials.gov, NCT02835040.

Circulating adipocyte-fatty acid binding protein levels predict the development of the metabolic syndrome: a 5-year prospective study.

BACKGROUND: Adipocyte-fatty acid binding protein (A-FABP), a major cytoplasmic protein in adipocytes, plays a central role in the development of diabetes and atherosclerotic cardiovascular disease in experimental animals. We have previously shown that A-FABP is present in the bloodstream and that its circulating levels correlate with metabolic risk factors in a cross-sectional study. In the present study, we further evaluated the prospective association of A-FABP with the metabolic syndrome (MetS) as defined by the updated National Cholesterol Education Program criteria. METHODS AND RESULTS: In the present study, 495 nondiabetic adults from the population-based Hong Kong Cardiovascular Risk Factor Prevalence Study were prospectively followed up for 5 years. The relationship of serum A-FABP with the MetS and its components was investigated. At baseline, high A-FABP levels were associated with the MetS (odds ratio, 4.0; 95% CI, 1.5 to 10.4; highest versus lowest sex-specific tertile, adjusted for age, body mass index, the homeostasis model assessment index for insulin resistance, C-reactive protein, and adiponectin, P=0.005). On long-term follow-up, subjects with higher baseline A-FABP levels had progressively worse cardiometabolic risk profile and increasing risk of the MetS. Among 376 subjects without the MetS at baseline, 50 had developed it at 5 years. Apart from the homeostasis model assessment index for insulin resistance (P=0.001), baseline A-FABP was the only independent predictor of the development of the MetS during the 5-year follow-up (odds ratio, 4.7; 95% CI, 1.8 to 11.9; highest versus lowest sex-specific tertile, P=0.001, adjusted for the homeostasis model assessment index for insulin resistance and body mass index). A-FABP was predictive of the MetS even after adjustment for each of its individual components. CONCLUSIONS: Circulating A-FABP predicts the development of the MetS independently of adiposity and insulin resistance.