The heterogeneity of the studies limited the analysis , but together they showed that provision of risk information to patients improved the accuracy of risk perception without decreasing quality of life or increasing anxiety , but had little effect on lifestyle .
There seems evidence that providing CVD risk model estimates to professionals and patients improves perceived CVD risk and medical prescribing , with little evidence of harm on psychological well-being
OBJECTIVE To systematic ally review whether the provision of information on cardiovascular disease ( CVD ) risk to healthcare professionals and patients impacts their decision-making , behaviour and ultimately patient health .
Derivation and validation of QRISK, a new cardiovascular disease risk score for the United Kingdom: prospective open cohort study
Objective To derive a new cardiovascular disease risk score ( QRISK ) for the United Kingdom and to vali date its performance against the established Framingham cardiovascular disease algorithm and a newly developed Scottish score ( ASSIGN ) . Design Prospect i ve open cohort study using routinely collected data from general practice . Setting UK practice s contributing to the Q RESEARCH data base . Participants The derivation cohort consisted of 1.28 million patients , aged 35 - 74 years , registered at 318 practice s between 1 January 1995 and 1 April 2007 and who were free of diabetes and existing cardiovascular disease . The validation cohort consisted of 0.61 million patients from 160 practice s. Main outcome measures First recorded diagnosis of cardiovascular disease ( incident diagnosis between 1 January 1995 and 1 April 2007 ) : myocardial infa rct ion , coronary heart disease , stroke , and transient ischaemic attacks . Risk factors were age , sex , smoking status , systolic blood pressure , ratio of total serum cholesterol to high density lipoprotein , body mass index , family history of coronary heart disease in first degree relative aged less than 60 , area measure of deprivation , and existing treatment with antihypertensive agent . Results A cardiovascular disease risk algorithm ( QRISK ) was developed in the derivation cohort . In the validation cohort the observed 10 year risk of a cardiovascular event was 6.60 % ( 95 % confidence interval 6.48 % to 6.72 % ) in women and 9.28 % ( 9.14 % to 9.43 % ) in men . Overall the Framingham algorithm over-predicted cardiovascular disease risk at 10 years by 35 % , ASSIGN by 36 % , and QRISK by 0.4 % . Measures of discrimination tended to be higher for QRISK than for the Framingham algorithm and it was better calibrated to the UK population than either the Framingham or ASSIGN models . Using QRISK 8.5 % of patients aged 35 - 74 are at high risk ( 20 % risk or higher over 10 years ) compared with 13 % when using the Framingham algorithm and 14 % when using ASSIGN . Using QRISK 34 % of women and 73 % of men aged 64 - 75 would be at high risk compared with 24 % and 86 % according to the Framingham algorithm . UK estimates for 2005 based on QRISK give 3.2 million patients aged 35 - 74 at high risk , with the Framingham algorithm predicting 4.7 million and ASSIGN 5.1 million . Overall , 53 668 patients in the validation data set ( 9 % of the total ) would be reclassified from high to low risk or vice versa using QRISK compared with the Framingham algorithm . Conclusion QRISK performed at least as well as the Framingham model for discrimination and was better calibrated to the UK population than either the Framingham model or ASSIGN . QRISK is likely to provide more appropriate risk estimates to help identify high risk patients on the basis of age , sex , and social deprivation . It is therefore likely to be a more equitable tool to inform management decisions and help ensure treatments are directed towards those most likely to benefit . It includes additional variables which improve risk estimates for patients with a positive family history or those on antihypertensive treatment . However , since the validation was performed in a similar population to the population from which the algorithm was derived , it potentially has a “ home advantage . ” Further validation in other population s is therefore required
The heterogeneity of the studies limited the analysis , but together they showed that provision of risk information to patients improved the accuracy of risk perception without decreasing quality of life or increasing anxiety , but had little effect on lifestyle .
There seems evidence that providing CVD risk model estimates to professionals and patients improves perceived CVD risk and medical prescribing , with little evidence of harm on psychological well-being
OBJECTIVE To systematic ally review whether the provision of information on cardiovascular disease ( CVD ) risk to healthcare professionals and patients impacts their decision-making , behaviour and ultimately patient health .