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Predicted 10-year risk of cardiovascular disease is influenced by the risk equation adopted: a cross-sectional analysis

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Author
Gray, B.
Bracken, R.
Turner, D.
Morgan, K.
Mellalieu, Stephen D.
Thomas, M.
Williams, Sally P.
Williams, Meurig
Rice, S.
Stephens, J.W.
Prosiect Sir Gâr Group
Date
2014
Acceptance date
2014-07-01
Type
Article
Publisher
Royal College of General Practitioners
ISSN
0960-1643
1478-5242 (online)
Metadata
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Abstract
Background Validated risk equations are currently recommended to assess individuals to determine those at ‘high risk’ of cardiovascular disease (CVD). However, there is no longer a risk ‘equation of choice’. Aim This study examined the differences between four commonly-used CVD risk equations. Design and setting Cross-sectional analysis of individuals who participated in a workplace-based risk assessment in Carmarthenshire, south Wales. Method Analysis of 790 individuals (474 females, 316 males) with no prior diagnosis of CVD or diabetes. Ten-year CVD risk was predicted by entering the relevant variables into the QRISK2, Framingham Lipids, Framingham BMI, and JBS2 risk equations. Results The Framingham BMI and JBS2 risk equations predicted a higher absolute risk than the QRISK2 and Framingham Lipids equations, and CVD risk increased concomitantly with age irrespective of which risk equation was adopted. Only a small proportion of females (0–2.1%) were predicted to be at high risk of developing CVD using any of the risk algorithms. The proportion of males predicted at high risk ranged from 5.4% (QRISK2) to 20.3% (JBS2). After age stratification, few differences between isolated risk factors were observed in males, although a greater proportion of males aged ≥50 years were predicted to be at ‘high risk’ independent of risk equation used. Conclusions Different risk equations can influence the predicted 10-year CVD risk of individuals. More males were predicted at ‘high risk’ using the JBS2 or Framingham BMI equations. Consideration should also be given to the number of isolated risk factors, especially in younger adults when evaluating CVD risk.
Journal/conference proceeding
British Journal of General Practice;
Citation
Gray, B.J., Bracken, R.M., Turner, D., Morgan, K., Mellalieu, S.D., Thomas, M., Williams, S.P., Williams, M., Rice, S., Stephens, J.W. and Prosiect Sir Gâr Group (2014) 'Predicted 10-year risk of cardiovascular disease is influenced by the risk equation adopted: a cross-sectional analysis', British Journal of General Practice, 64(627), pp.e634-e640.
URI
http://hdl.handle.net/10369/9503
DOI
https://doi.org/10.3399/bjgp14X681805
Description
This article was published in British Journal of General Practice in 2014 available online at https://doi.org/10.3399/bjgp14X681805
Rights
http://www.rioxx.net/licenses/all-rights-reserved
Sponsorship
Cardiff Metropolitan University (Grant ID: Cardiff Metropolian (Internal))
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  • Sport Research Groups [1090]

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