Status
Completed
Title
A new risk score to predict risk of developing cardiovascular disease for the UK
What were the objectives of the study?
To develop and validate updated prediction algorithms to estimate the risk of cardiovascular disease in women and men accounting for new and established cardiovascular risk factors.
QRISK is continually updated as
(a) population characteristics evolve over time
(b) new and improved data become available
(c) statistical methods improve and
(d) new risk factors are identified.
How was the research done?
Prospective open cohort study using routinely collected data from QResearch® general practices in England. 75% of QResearch GP practices are used to develop the scores and a separate set of 25% QResearch practices to validate the scores. Separate validation cohorts such as CPRD are also used for validation.
Patients are free of cardiovascular disease and not prescribed statins at baseline. Cox proportional hazards models and cause specific hazard models in the derivation cohort are used to derive separate risk equations in men and women. These equations predict both 1-10 year risk of cardiovascular disease and lifetime risk of cardiovascular disease. The equations are regularly updated to take account of changes in population risks over time, availability of new data, improvement in statistical methods and changes in requirements for how the tools can be used in clinical practice.
Measures of calibration, discrimination and reclassification are determined in the validation cohort for men and women separately and for individual subgroups e.g. age group, ethnicity. External validation is conducted in separate databases such as CPRD and THIN by the authors and also by external researchers.
Chief Investigator
Julia Hippisley-Cox
Lead Applicant Organisation Name
Sponsor
Oxford University
Location of research
Oxford
Date on which research approved
01-Feb-2019
Project reference ID
OX330
Generic ethics approval reference
18/EM/0400
Are all data accessed are in anonymised form?
Yes
Brief summary of the dataset to be released (including any sensitive data)
GP data for risk factors for cardiovascular disease linked to outcomes for CVD recorded on either GP, hospital or mortality data.
What were the main findings?
The first algorithm developed in 2007 was the QRISK tool, designed to estimate cardiovascular risk over 10 years. In 2010 a new version to predict lifetime risk of cardiovascular disease was developed to take account of the competing risk of death. Prior to QRISK, an algorithm developed in the US based on a small unrepresentative cohort was used to assess cardiovascular risk in the UK and target high risk individuals for treatment.
The QRISK model has been updated to account for time trends, improvements in data quality, new data linkages and to include additional risk factors. The QRISK3 algorithm (www.qrisk.org/three/) was the first cardiovascular risk algorithm to include major risk factors such as serious mental illness, atypical antipsychotics, migraine, corticosteroids and blood pressure variability.
Implications and Impact
QRISK forms the basis of the NHS Health check for all adults aged 40-74 years. It is also included in the GP Quality and Outcomes framework for assessment of cardiovascular disease (CVD) risk in people with diabetes and rheumatoid arthritis and multiple NICE guidance and quality standards. It is recommended in the updated NICE guidance [NG136, 2019] on hypertension in adults which includes the use of QRISK to inform antihypertensive treatment. The NHS Health checks program has published guidance on moving from QRISK2 to QRISK3.
QRISK has been widely validated with consistently excellent results. QRISK1 and QRISK2 showed improved performance compared with Framingham on external datasets.
Similarly, in 2021 QRISK3 was independently and externally validated on CPRD with very good overall performance. It has been validated in 2021 in subgroups of patients with specific conditions including learning disabilities and inflammatory bowel disease with very good performance.
In 2020 QRISK3 was compared with SCORE among people with systemic lupus erythematosus and in 2022 it was validated against Framingham among people with systemic sclerosis.
In 2023, QRISK3 was recommended for use by the National Institute for Clinical Excellence.
Public Benefit Statement
Research Team
Julia Hippisley-Cox, Carol Coupland, Peter Brindle, Keith Shannon, Aziz Sheikh, Mona Bafadhel, Richard Russell
Publications
-
Authors' response to letters on QRISK3 regarding the definition of severe mental illness and analysis of systolic blood pressure variability
Authors: Hippisley-Cox J, Coupland C, Brindle P
Ref: BMJ 2017;357:j2099
https://www.bmj.com/content/357/bmj.j2099/rapid-responses -
Development and validation of QRISK3 risk prediction algorithms to estimate future risk of cardiovascular disease: prospective cohort study
Authors: Hippisley-Cox J, Coupland C, Brindle P.
Ref: BMJ 2017;357 doi: 10.1136/bmj.j2099
http://www.bmj.com/content/357/bmj.j2099 -
Validation of QRISK2-2014 in patients with diabetes
Authors: Hippisley-Cox J, Coupland CA, Brindle P.
Ref:
https://qrisk.org/2017/QRISK2-2014-validation-in-patients-with-diabetes-1.7-web.pdf -
QRISK2 validation by ethnic group
Authors: Hippisley-Cox J, Coupland , Robson J, Brindle P
Ref: Heart 2014;100(5):436. doi: 10.1136/heartjnl-2013-305355
http://heart.bmj.com/content/100/5/436 -
QRisk or Framingham?
Authors: Robson J, Hippisley-Cox J, Coupland C
Ref: British Journal of Clinical Pharmacology 2012; 74(3): 545-546 doi: 10.1111/j.1365-2125.2012.04293.x
http://onlinelibrary.wiley.com/doi/10.1111/j.1365-2125.2012.04293.x/abstract -
QRisk superior in diverse South Asian groups
Authors: Robson J, Hippisley-Cox J, Coupland C
Ref: International Journal of Clinical Practice 2012; 66(7): 722
http://onlinelibrary.wiley.com/doi/10.1111/j.1742-1241.2012.02955.x/abstract -
Family History already included in QRISK which is used widely in the NHS in the UK
Authors: Robson J, Hippisley-Cox J, Brindle P
Ref: Annals of Internal Medicine 2012; Published 27.2.12
http://www.annals.org/content/156/4/253.abstract/reply#annintmed_el_140628 -
Advantages of QRISK2 (2010) – the key issues is ethnicity and extent of reallocation
Authors: Hippisley-Cox J, Coupland C, Robson J, Brindle P
Ref: Heart 2011; 97 (6): 515 doi:10.1136/hrt.2010.221085
http://www.qresearch.org/Public_Documents/Hippisley-Cox Heart 2011.pdf -
Derivation, validation, and evaluation of a new QRISK model to estimate lifetime risk of cardiovascular disease: cohort study using QResearch database
Authors: Hippisley-Cox J, Coupland C, Robson J, Brindle P
Ref: BMJ 2010;341:c6624
https://www.bmj.com/content/341/bmj.c6624 -
Predicting cardiovascular risk in England and Wales: prospective derivation and validation of QRISK2
Authors: Hippisley-Cox J, Coupland C, Vinogradova Y, Robson J, Minhas R, Sheikh A, Brindle P
Ref: BMJ 2008;336:1475-1482
https://www.bmj.com/content/336/7659/1475 -
Performance of the QRISK cardiovascular risk prediction algorithm in an independent UK sample of patients from general practice: a validation study
Authors: Hippisley-Cox J, Coupland C, Vinogradova Y, Robson J, Brindle P
Ref: Heart 2008;94:34-39
http://heart.bmj.com/content/94/1/34.long -
Derivation and validation of QRISK, a new cardiovascular disease risk score for the United Kingdom: prospective open cohort study
Authors: Hippisley-Cox J, Coupland C, Vinogradova Y, Robson J, May M, Brindle P
Ref: BMJ 2007; 335:136-141
https://www.bmj.com/content/335/7611/136 -
Development and validation of a new algorithm for improved cardiovascular risk prediction
Authors: Hippisley-Cox J, Coupland CAC, Bafadhel M, Russell REK, Sheikh A, Brindle P, Channon KM
Ref:
https://www.nature.com/articles/s41591-024-02905-y
Press Releases
- New heart disease risk score outperforms existing test (8 July 2009 PA 186/09)
- GPs' heart disease prediction tool narrows search for at-risk patients (24 May 2017)
- New QRISK Score to predict heart disease in younger people (9 December 2010 PA 352/10)
- QRisk2 now available as open source software (17 May 2010)
- QRisk2 international app released for the iPhone/iPad (7 February 2012 PA 41/12)
- New risk score for cardiovascular disease with improved performance
- New QR4 algorithm outperforms previous models in predicting cardiovascular disease risk
Access Type
Trusted Research Environment (TRE)