<unk> 3 (the most recent version of<unk>  is a prediction algorithm for cardiovascular disease (CVD) that uses traditional<unk>  factors (age, systolic blood pressure, smoking status and ratio of total serum cholesterol to high-density lipoprotein cholesterol) together with body mass index, ethnicity, measures of deprivation, family history, chronic kidney disease, rheumatoid arthritis, atrial fibrillation, diabetes mellitus, and antihypertensive treatment. A<unk>  over 10 (10%<unk>  of CVD event over the next ten years) indicates that primary prevention with lipid lowering therapy (such as statins) should be considered. In the UK, current National Institute for Health and Care Excellence (NICE) guidelines recommend using<unk>  (as opposed to the Framingham<unk>  Score). The algorithm has subsequently been validated by an independent team from the Centre for Statistics in Medicine (University of Oxford) using an external dataset. The results were published in the BMJ and demonstrated that<unk>  performed better than Framingham . www.qrisk.org is updated annually to reflect changes in populations, data quality and national guidelines (such as a change in age range over which cardiovascular<unk>  should be assessed). The inclusion of ethnicity and deprivation in the<unk> 2 algorithm is designed to help prevent widening health inequalities. The QIntervention website combines<unk>  with a similar<unk>  prediction tool (www.qdiabetes.org) to calculate<unk>  of cardiovascular disease and type 2 diabetes. www.qintervention.org also allows clinicians to assess 'what if' scenarios i.e. how<unk>  might change with modification of<unk>  factors such as weight loss, stopping smoking, use of statins and better blood pressure control.<unk>  has also been developed further to estimate individualised lifetime<unk>  of cardiovascular disease.
QRISK
PREDICT 
SARS
SCORAD
FOUR score
PREPARE
EuroSCORE
ICECI