Published 7 July 2009, doi:10.1136/bmj.b2673
Cite this as: BMJ 2009;339:b2673

Editorials

QRISK or Framingham for predicting cardiovascular risk?

QRISK is better on every performance measure, and should be recommended in the UK

The first 150 words of the full text of this article appear below.

In the linked study (doi: 10.1136/bmj.b2584), Collins and Altman assess the performance of the QRISK cardiovascular risk prediction algorithm in a primary care setting in the United Kingdom,¹ and compare QRISK^{2 3} with equivalent Framingham algorithms.^{4 5}

The QRISK algorithm is based on the largest risk prediction study ever undertaken and highlights a potential use of large scale electronic health record systems.^{2 3 6} In just a few years, a small team has linked electronic health records from several million people to produce a cardiovascular risk prediction algorithm that is more accurate and better validated than previous ones. Although prediction algorithms are available for many conditions, most are based on small numbers, are poorly validated, infrequently updated, and not generalisable. Moreover, most prediction algorithms are weak predictors and are not used regularly.

The first QRISK prediction algorithm was generated by retrospectively extracting data on risk factors and subsequent cardiovascular events for almost two . . . [Full text of this article]

¹ School of Population Health, University of Auckland, Private Bag 92019, Auckland, New Zealand

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This article has been cited by other articles:

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