Background: The updated national guidelines for cardiovascular risk assessment and lipid modification in the UK and US expand the indications for statin therapy in primary prevention to adults with moderate risk of cardiovascular disease (CVD) but many adults at high CVD risk remain untreated in both countries. We set out to identify treatment gaps in English and American adults at moderate and high risk of cardiovascular disease (CVD), and to estimate the number of CVD events that would be prevented from expanding statin therapy to those who are currently untreated.
Methods: We used nationally representative samples of 10,375 English adults and 7,687 US adults aged 40-75 years and free of existing CVD from the Health Survey for England 2009-2013, and the National Health and Nutrition Examination Survey 2007-2012 in the US.
Background: The 2014 guidelines on cardiovascular risk assessment and lipid modification from the National Institute for Health and Care Excellence (NICE) recommend statin therapy for adults with prevalent cardiovascular disease (CVD), and for adults with a 10-year CVD risk of ≥10%, estimated using the QRISK2 algorithm.
Aim: To determine risk factor levels required to exceed the risk threshold for statin therapy, and to estimate the number of adults in England who would require statin therapy under the guidelines.
Design And Setting: Cross-sectional study using a sample representative of the English population aged 30-84 years.
Background: There are an increasing number of studies using simulation models to conduct cost-effectiveness analyses for type 2 diabetes mellitus.
Objective: To evaluate the relationship between improvements in glycosylated haemoglobin (HbA) and simulated health outcomes in type 2 diabetes cost-effectiveness studies.
Methods: A systematic review was conducted on MEDLINE and EMBASE to collect cost-effectiveness studies using type 2 diabetes simulation models that reported modelled health outcomes of blood glucose-related interventions in terms of quality-adjusted life-years (QALYs) or life expectancy (LE).