AIMS To assess the opportunistic use in primary care of a computer risk score versus a self-assessment risk score for undiagnosed type 2 diabetes. METHODS We conducted a randomised controlled trial in 11 primary care practices in the UK. 577 patients aged 40-75years with no current diagnosis of type 2 diabetes were recruited to a computer based risk score (Leicester Practice Computer Risk Sco...

BACKGROUND Randomized trials have demonstrated that Type 2 diabetes is preventable among high-risk individuals. To date, such individuals have been identified through population screening using the oral glucose tolerance test. OBJECTIVE To assess whether a risk score comprising only routinely collected non-biochemical parameters was effective in identifying those at risk of developing Type 2 ...

Graphs and tables are indispensable aids to quantitative research. When developing a clinical prediction rule that is based on a cardiovascular risk score, there are many visual displays that can assist in developing the underlying statistical model, testing the assumptions made in this model, evaluating and presenting the resultant score. All too often, researchers in this field follow formula...

BACKGROUND Type 2 diabetes mellitus (T2DM), coronary heart disease (CHD) and metabolic syndrome (MetS) are major healthcare problems in Kuwait. The present study was designed to determine the prevalence of MetS, and to estimate the 10-year risk for developing T2DM and CHD among the general population in Kuwait. METHODS A descriptive, cross-sectional survey was undertaken in 1800 individuals w...

Acinetobacter baumannii is highly resistant pathogen and widely distributed in different hospitals as nosocomial pathogen (Ian et al., 2016). This is mostly isolated from intensive care units. In the last decades, the emergence and rapid spread of Multidrug-resistant A. baumannii have caused a serious clinical problem worldwide (Peleg et al., 2008). In a developing country concerns about the hi...