Social determinants of health and diabetic foot disease

Background Diabetic foot disease (DFD) is the leading cause of hospitalisation and lower extremity amputation (LEA) in people with diabetes. Many studies have established the relationship between DFD and clinical risk factors, such as peripheral neuropathy and peripheral arterial disease. Other studies have identified the relationship between diabetes and non-clinical risk factors termed social determinants of health (SDoH), such as socioeconomic status. However, it appears very few studies have investigated the relationship between DFD and SDoH. This paper aims to review the existing literature investigating the relationship between DFD and the SDoH factors socioeconomic status (SES), race and geographical remoteness (remoteness). Process Electronic databases (MEDLINE, CINAHL, and PubMed) were searched for studies reporting SES, race (including Aboriginal and Torres Strait Islander in Australia) and remoteness and their relationship to DFD and LEA. Exclusion criteria were studies conducted in developing countries and studies published prior to 2000. Findings Forty-eight studies met the inclusion criteria and were reviewed; 10 in Australia. Overall, 28 (58%) studies investigated LEA, 10 (21%) DFD, and 10 (21%) DFD and LEA as the DFD-related outcome. Thirty-six (75%) studies investigated the SDoH risk factor of race, 22 (46%) SES, and 20 (42%) remoteness. SES, race and remoteness were found to be individually associated with LEA and DFD in the majority of studies. Only four studies investigated interactions between SES, race and remoteness and DFD with contrasting findings. All four studies used only LEA as their investigated outcome. No Australian studies investigate the interaction of all three SDoH risk factors on DFD outcomes. Conclusions The SDoH risk factors of SES, race and GR appear to be individually associated with DFD. However, only few studies investigated the interaction of these three major SDoH risk factors and DFD outcomes with contrasting results. There is a clear gap in this area of DFD research and particularly in Australia. Until urgent future research is performed, current practice and policy does not adequately take into consideration the implication of SDoH on DFD.

Probiotics modify tight junction proteins in an animal model of non-alcoholic fatty liver disease

Objectives We have investigated the effects of a multi–species probiotic preparation containing a combination of probiotic bacterial genera that included Bifidobacteria, Lactobacilli and a Streptococcus in a mouse model of high fat diet/obesity induced liver steatosis. Methods Three groups of C57B1/6J mice were fed either a standard chow or a high fat diet for 20 weeks, while a third group was fed a high fat diet for 10 weeks and then concomitantly administered probiotics for a further 10 weeks. Serum, liver and large bowel samples were collected for analysis. Results The expression of the tight junction proteins ZO-1 and ZO-2 was reduced (p < 0.05) in high fat diet fed mice compared to chow fed mice. Probiotic supplementation helped to maintain tight ZO-1 and ZO-2 expression compared with the high fat diet group (p < 0.05), but did not restore ZO-1 or ZO-2 expression compared with chow fed mice. Mice fed a high fat diet ± probiotics had significant steatosis development compared to chow fed mice (p < 0.05); steatosis was less severe in the probiotics group compared to the high fat diet group. Hepatic triglycerides concentration was higher in mice fed a high fat diet ± probiotics compared to the chow group (p < 0.05), and was lower in the probiotics group compared to the high fat diet group (p < 0.05). Compared to chow fed mice, serum glucose and cholesterol concentrations, and the activity of alanine transaminase were higher (p < 0.05), whereas serum triglyceride concentration was lower (p < 0.05) in mice fed a high fat diet ± probiotics. Conclusions Supplementation with a multi-species probiotic formulation helped to maintain tight junction proteins ZO-1 and ZO-2, and reduced hepatic triglyceride concentrations compared with a HFD alone.

Hay fever: An underappreciated and chronic disease

Allergic rhinitis continues to be a significant chronic disease that affects younger, usually healthier people, with considerable impacts on school performance and work productivity. Symptom-directed treatment is usually sufficient but specific immunotherapy should be considered in severely affected patients.

Disease control and management

Globally, the main contributors to morbidity and mortality are chronic conditions, including cardiovascular disease and diabetes. Chronic disease is costly and partially avoidable, with around 60% of deaths and nearly 50% of the global disease burden attributable to these conditions. By 2020, chronic illnesses will likely be the leading cause of disability worldwide. Existing healthcare systems that focus on acute episodic health conditions, both national and international, cannot address the worldwide transition to chronic illness; nor are they appropriate for the ongoing care and management of those already dealing with chronic diseases. As such, chronic disease management requires integrated approaches that incorporate interventions targeted at both individuals and populations, and emphasise the shared risk factors of different conditions. International and Australian strategic planning documents articulate similar elements to manage chronic disease, including the need for aligning sectoral policies for health, forming partnerships, and engaging communities in decision-making. Infectious diseases are also a common and significant contributor to ill health throughout the world. In many countries, this impact has been minimised by the combined efforts of preventative health measures and improved treatment methods. However, in low-income countries, infectious diseases remain the dominant cause of death and disability. The World Health Organization (WHO) estimates that infectious diseases (including respiratory infections) still account for around 23% (or around 14 million) of all deaths each year, and result in over 4.6 billion episodes of diarrhoeal disease and 243 million cases of malaria each year (Lozano et al. 2012, WHO 2009). In addition to the high level of mortality, infectious diseases disable many hundreds of millions of people each year, mainly in developing countries, with the global burden of disease from infectious diseases estimated to be around 300 million DALYs (disability-adjusted life years) (WHO 2012). The aim of this chapter is to outline the impact that infectious diseases and chronic diseases have on the health of the community, describe the public health strategies used to reduce the burden of those diseases, and discuss the historic and emerging disease risks to public health. This chapter examines the comprehensive approaches implemented to prevent both chronic and infectious diseases, and to manage and care for communities with these conditions.

Complete genome sequence of Colocasia bobone disease-associated virus, a putative cytorhabdovirus infecting taro

We report the first genome sequence of a Colocasia bobone disease-associated virus (CBDaV) derived from bobone-affected taro [Colocasia esculenta L. Schott] from Solomon Islands. The negative-strand RNA genome is 12,193 nt long, with six major open reading frames (ORFs) with the arrangement 3′-N-P-P3-M-G-L-5′. Typical of all rhabdoviruses, the 3′ leader and 5′ trailer sequences show complementarity to each other. Phylogenetic analysis indicated that CBDaV is a member of the genus Cytorhabdovirus, supporting previous reports of virus particles within the cytoplasm of bobone-infected taro cells. The availability of the CBDaV genome sequence now makes it possible to assess the role of this virus in bobone, and possibly alomae disease of taro and confirm that this sequence is that of Colocasia bobone disease virus (CBDV).

HealthMap: A cluster randomised trial of interactive health plans and self-management support to prevent coronary heart disease in people with HIV

Background The leading causes of morbidity and mortality for people in high-income countries living with HIV are now non-AIDS malignancies, cardiovascular disease and other non-communicable diseases associated with ageing. This protocol describes the trial of HealthMap, a model of care for people with HIV (PWHIV) that includes use of an interactive shared health record and self-management support. The aims of the HealthMap trial are to evaluate engagement of PWHIV and healthcare providers with the model, and its effectiveness for reducing coronary heart disease risk, enhancing self-management, and improving mental health and quality of life of PWHIV. Methods/Design The study is a two-arm cluster randomised trial involving HIV clinical sites in several states in Australia. Doctors will be randomised to the HealthMap model (immediate arm) or to proceed with usual care (deferred arm). People with HIV whose doctors are randomised to the immediate arm receive 1) new opportunities to discuss their health status and goals with their HIV doctor using a HealthMap shared health record; 2) access to their own health record from home; 3) access to health coaching delivered by telephone and online; and 4) access to a peer moderated online group chat programme. Data will be collected from participating PWHIV (n = 710) at baseline, 6 months, and 12 months and from participating doctors (n = 60) at baseline and 12 months. The control arm will be offered the HealthMap intervention at the end of the trial. The primary study outcomes, measured at 12 months, are 1) 10-year risk of non-fatal acute myocardial infarction or coronary heart disease death as estimated by a Framingham Heart Study risk equation; and 2) Positive and Active Engagement in Life Scale from the Health Education Impact Questionnaire (heiQ). Discussion The study will determine the viability and utility of a novel technology-supported model of care for maintaining the health and wellbeing of people with HIV. If shown to be effective, the HealthMap model may provide a generalisable, scalable and sustainable system for supporting the care needs of people with HIV, addressing issues of equity of access. Trial registration Universal Trial Number (UTN) U111111506489; ClinicalTrial.gov Id NCT02178930 submitted 29 June 2014