BMJ  2007;335:136 (21 July), doi:10.1136/bmj.39261.471806.55 (published 5 July 2007)

Research

Derivation and validation of QRISK, a new cardiovascular disease risk score for the United Kingdom: prospective open cohort study

Julia Hippisley-Cox, professor of clinical epidemiology and general practice1, Carol Coupland, senior lecturer in medical statistics1, Yana Vinogradova, research fellow in medical statistics1, John Robson, senior lecturer in general practice2, Margaret May, research fellow in medical statistics3, Peter Brindle, research and development strategy lead4

1 Tower Building, University Park, Nottingham NG2 7RD, 2 Centre for Health Sciences, Queen Mary's School of Medicine and Dentistry, London, 3 Department of Social Medicine, University of Bristol, 4 Avon Primary Care Research Collaborative, Bristol Primary Care Trust

Correspondence to: J Hippisley-Cox julia.hippisley-cox@nottingham.ac.uk

Objective To derive a new cardiovascular disease risk score (QRISK) for the United Kingdom and to validate its performance against the established Framingham cardiovascular disease algorithm and a newly developed Scottish score (ASSIGN).

Design Prospective open cohort study using routinely collected data from general practice.

Setting UK practices contributing to the QRESEARCH database.

Participants The derivation cohort consisted of 1.28 million patients, aged 35-74 years, registered at 318 practices 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 practices.

Main outcome measures First recorded diagnosis of cardiovascular disease (incident diagnosis between 1 January 1995 and 1 April 2007): myocardial infarction, 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 dataset (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 populations is therefore required.


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Rapid Responses:

Read all Rapid Responses

Does QRISK describe a partially treated population?
Eugene M.G. Milne
bmj.com, 6 Jul 2007 [Full text]
QRISK can NOT be used for treatment decisions
L S Lewis
bmj.com, 8 Jul 2007 [Full text]
QRisk better than Framingham ?
Michel J. Romanens
bmj.com, 9 Jul 2007 [Full text]
Doubts about QRISK score: total / HDL cholesterol should be important.
Richard Peto
bmj.com, 13 Jul 2007 [Full text]
QRISK and health inequalities
John Macleod, et al.
bmj.com, 13 Jul 2007 [Full text]
FRAMINGHAM, ASSIGN and QRISK Cardiovascular Risk Scores
Hugh Tunstall-Pedoe, et al.
bmj.com, 14 Jul 2007 [Full text]
QRISK has great potential, but don't underestimate Framingham
William G Simpson, et al.
bmj.com, 15 Jul 2007 [Full text]
QRISK - Methodological limitations?
Marie Therese Cooney, et al.
bmj.com, 18 Jul 2007 [Full text]
Measures of smoking, deprivation and cardiovascular risk
Sarah H Wild, et al.
bmj.com, 20 Jul 2007 [Full text]
QRISK still leaves patients at risk or unnecessarily treated
Gordon A A Ferns
bmj.com, 21 Jul 2007 [Full text]
Waist to Hip ratio should be included
Ben D Ewald
bmj.com, 23 Jul 2007 [Full text]
QRISK - authors response
Julia Hippisley-Cox, et al.
bmj.com, 7 Aug 2007 [Full text]
Multiple imputation needs to be used with care and reported in detail
John B Carlin, et al.
bmj.com, 21 Aug 2007 [Full text]
Setting for risk calculation will affect performance of QRISK
Richard J McManus, et al.
bmj.com, 21 Aug 2007 [Full text]
Powerful stratification tool
Guy Wilkinson
bmj.com, 24 Aug 2007 [Full text]
QRISK validation study published
Peter M Brindle
bmj.com, 18 Oct 2007 [Full text]
Are risk calculators answering the wrong question?
G Alastair Cooke
bmj.com, 31 Oct 2007 [Full text]



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