Published 7 July 2009, doi:10.1136/bmj.b2584
Cite this as: BMJ 2009;339:b2584

Research

An independent external validation and evaluation of QRISK cardiovascular risk prediction: a prospective open cohort study

Gary S Collins, medical statistician1, Douglas G Altman, professor of statistics in medicine1

1 Centre for Statistics in Medicine, Wolfson College Annexe, University of Oxford, Oxford OX2 6UD

Correspondence to: G S Collins gary.collins{at}csm.ox.ac.uk

Objective To independently evaluate the performance of the QRISK score for predicting 10 year risk of cardiovascular disease in an independent UK cohort of patients from general practice and compare the performance with Framingham equations.

Design Prospective open cohort study.

Setting 274 practices from England and Wales contributing to the THIN database.

Participants 1.07 million patients, registered between 1 January 1995 and 1 April 2006, aged 35-74 years (5.4 million person years) with 43 990 cardiovascular events.

Main outcome measures First diagnosis of cardiovascular disease (myocardial infarction, coronary heart disease, stroke, and transient ischaemic attack) recorded in general practice records.

Results This independent validation indicated that QRISK offers an improved performance in predicting the 10 year risk of cardiovascular disease in a large cohort of UK patients over the Anderson Framingham equation. Discrimination and calibration statistics were better with QRISK. QRISK explained 32% of the variation in men and 37% in women, compared with 27% and 31% respectively for Anderson Framingham. QRISK underpredicted risk by 13% for men and 10% for women, whereas Anderson Framingham overpredicted risk by 32% for men and 10% for women. In total, 85 010 (8%) of patients would be reclassified from high risk (≥20%) with Anderson Framingham to low risk with QRISK, with an observed 10 year cardiovascular disease risk of 17.5% (95% confidence interval 16.9% to 18.1%) for men and 16.8% (15.7% to 18.0%) for women. The incidence rate of cardiovascular disease events among men was 30.5 per 1000 person years (95% confidence interval 29.9 to 31.2) in high risk patients identified with QRISK and 23.7 per 1000 person years (23.2 to 24.1) in high risk patients identified with Anderson Framingham. Similarly, the incidence rate of cardiovascular disease events among women was 26.7 per 1000 person years (25.8 to 27.7) in high risk patients identified with QRISK compared with 22.2 per 1000 person years (21.4 to 23.0) in high risk patients identified with Anderson Framingham.

Conclusions The QRISK cardiovascular disease risk equation offers an improvement over the long established Anderson Framingham equation in terms of identifying a high risk population for cardiovascular disease in the United Kingdom. QRISK underestimates 10 year cardiovascular disease risk, but the magnitude of underprediction is smaller than the overprediction with Anderson Framingham.

© Collins et al 2009
This is an open-access article distributed under the terms of the Creative Commons Attribution Non-commercial License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to StumbleUpon StumbleUpon   Add to Technorati Technorati    What's this?

Relevant Articles

QRISK may be less useful
Su May Liew and Paul Glasziou
BMJ 2009 339: b3485. [Extract] [Full Text]

Bespoke cohort studies needed
Richard Morris, Irene Petersen, Louise Marston, Kate Walters, James Carpenter, and Irwin Nazareth
BMJ 2009 339: b3512. [Extract] [Full Text]

ASSIGN, QRISK, and validation
Hugh Tunstall-Pedoe, Mark Woodward, and Graham Watt
BMJ 2009 339: b3514. [Extract] [Full Text]

Authors’ reply
Gary S Collins and Douglas G Altman
BMJ 2009 339: b3516. [Extract] [Full Text]

Heart risk scoring system used by NICE may overestimate lipid disorders
Zosia Kmietowicz
BMJ 2009 339: b3273. [Extract] [Full Text]

QRISK or Framingham for predicting cardiovascular risk?
Rod Jackson, Roger Marshall, Andrew Kerr, Tania Riddell, and Sue Wells
BMJ 2009 339: b2673. [Extract] [Full Text]

Prognosis and prognostic research: validating a prognostic model
Douglas G Altman, Yvonne Vergouwe, Patrick Royston, and Karel G M Moons
BMJ 2009 338: b605. [Full Text]

Prognosis and prognostic research: what, why, and how?
Karel G M Moons, Patrick Royston, Yvonne Vergouwe, Diederick E Grobbee, and Douglas G Altman
BMJ 2009 338: b375. [Full Text]

Risk assessment and lipid modification for primary and secondary prevention of cardiovascular disease: summary of NICE guidance
Angela Cooper, Norma O’Flynn on behalf of the Guideline Development Group
BMJ 2008 336: 1246-1248. [Extract] [Full Text] [PDF]

Derivation and validation of QRISK, a new cardiovascular disease risk score for the United Kingdom: prospective open cohort study
Julia Hippisley-Cox, Carol Coupland, Yana Vinogradova, John Robson, Margaret May, and Peter Brindle
BMJ 2007 335: 136. [Abstract] [Full Text] [PDF]

Predictive accuracy of the Framingham coronary risk score in British men: prospective cohort study
Peter Brindle, Jonathan Emberson, Fiona Lampe, Mary Walker, Peter Whincup, Tom Fahey, and Shah Ebrahim
BMJ 2003 327: 1267. [Abstract] [Full Text] [PDF]

Comparison of the prediction by 27 different factors of coronary heart disease and death in men and women of the Scottish heart health study: cohort study
Hugh Tunstall-Pedoe, Mark Woodward, Roger Tavendale, Richard A' Brook, and Mary K McCluskey
BMJ 1997 315: 722-729. [Abstract] [Full Text]

Commentary: Prognostic models: clinically useful or quickly forgotten?
Jeremy C Wyatt and Douglas G Altman
BMJ 1995 311: 1539-1541. [Extract] [Full Text]

This article has been cited by other articles:

  • Liew, S. M., Glasziou, P. (2009). QRISK may be less useful. BMJ 339: b3485-b3485 [Full text]  
  • Morris, R., Petersen, I., Marston, L., Walters, K., Carpenter, J., Nazareth, I. (2009). Bespoke cohort studies needed. BMJ 339: b3512-b3512 [Full text]  
  • Tunstall-Pedoe, H., Woodward, M., Watt, G. (2009). ASSIGN, QRISK, and validation. BMJ 339: b3514-b3514 [Full text]  
  • Collins, G. S, Altman, D. G (2009). Authors' reply. BMJ 339: b3516-b3516 [Full text]  
  • Jackson, R., Marshall, R., Kerr, A., Riddell, T., Wells, S. (2009). QRISK or Framingham for predicting cardiovascular risk?. BMJ 339: b2673-b2673 [Full text]  

Rapid Responses:

Read all Rapid Responses

QRISK: More accurate but less useful?
Su May Liew, et al.
bmj.com, 10 Jul 2009 [Full text]
Explaining comparative QRisk to patients
Christopher W Frith
bmj.com, 14 Jul 2009 [Full text]
QRISK versus Framingham
L Sam Lewis
bmj.com, 16 Jul 2009 [Full text]
Angels on pins..
J. David Leopold
bmj.com, 17 Jul 2009 [Full text]
what about Troponins effect on incidence ?
des spence
bmj.com, 18 Jul 2009 [Full text]
Re: Angels on pins..
Raymond G Holder
bmj.com, 19 Jul 2009 [Full text]
Better prediction with QRISK
Rizaldy Pinzon
bmj.com, 23 Jul 2009 [Full text]
Validation also required in bespoke cohort study
Richard W Morris, et al.
bmj.com, 28 Jul 2009 [Full text]
ASSIGN, QRISK and validation of cardiovascular risk scores
Hugh Tunstall-Pedoe, et al.
bmj.com, 17 Aug 2009 [Full text]
QRISK evaluation: Authors response
Gary S Collins, et al.
bmj.com, 19 Aug 2009 [Full text]



Access jobs at BMJ Careers
Whats new online at Student 

BMJ