Economic assessment of the impact of telecare on the use of social care resources using a zero-inflated, hierarchical linear statistical model.

INTRODUCTION: There is an ever-increasing demand for social care in the UK, with expenditure predicted to double to £56 billion by 2038/39. Many councils are under budget restrictions putting pressure on the number of services provided and their quality. Telecare complements social care and involves the implementation of technology to keep individuals more independent. METHODS: This study utilised a retrospective time-series analysis of data provided by Lancashire County Council between the period January-2013 to March-2018. A generalised linear mixed model (GLMM) was used to control for potential confounders. Two groups were identified: those using telecare (telecare group, n = 699) and those who did not (control group, n = 839). RESULTS: The fixed effects data showed that telecare group start £75 per week lower in cost and as time progressed this reduced further by 9p per service user per week. In contrast, control group costs rose 5p per week per user. This effect was independent of age but was affected by measure of dependency. Analysis was then utilised to make predictions based on weighted averages. The scenario showed a total difference of £4,949 per service user over the whole year. A second scenario pro-rata'd costs for the full year showed a difference of £6,214, where telecare would avoid costs of £17 million per year. DISCUSSION: This analysis demonstrates that there is evident potential for the use of telecare to reduce social care resource use and costs. This study also highlights the use of a GLMM as a novel method of analysing observed data by controlling confounders.

Cytokines: roles in atherosclerosis disease progression and potential therapeutic targets.

Atherosclerosis, the primary cause of cardiovascular disease (CVD), is a chronic inflammatory disorder in the walls of medium and large arteries. CVD is currently responsible for about one in three global deaths and this is expected to rise in the future due to an increase in the prevalence of obesity and diabetes. Current therapies for atherosclerosis mainly modulate lipid homeostasis and while successful at reducing the risk of a CVD-related death, they are associated with considerable residual risk and various side effects. There is, therefore, a need for alternative therapies aimed at regulating inflammation in order to reduce atherogenesis. This review will highlight the key role cytokines play during disease progression as well as potential therapeutic strategies to target them.

Interferon-γ: Promising therapeutic target in atherosclerosis.

Atherosclerosis is a chronic inflammatory disorder of the vasculature and is the primary cause of cardiovascular disease (CVD). CVD is currently the world's leading cause of death and the numbers are predicted to rise further because of a global increase in risk factors such as diabetes and obesity. Current therapies such as statins have had a major impact in reducing mortality from CVD. However, there is a marked residual CVD risk in patients on statin therapy. It is therefore important to understand the molecular basis of this disease in detail and to develop alternative novel therapeutics. Interferon-γ (IFN-γ) is a pro-inflammatory cytokine that is often regarded as a master regulator of atherosclerosis development. IFN-γ is able to influence several key steps during atherosclerosis development, including pro-inflammatory gene expression, the recruitment of monocytes from the blood to the activated arterial endothelium and plaque stability. This central role of IFN-γ makes it a promising therapeutic target. The purpose of this editorial is to describe the key role IFN-γ plays during atherosclerosis development, as well as discuss potential strategies to target it therapeutically.