Browse by author
Lookup NU author(s): Professor Raj Bhopal CBE, Dr Colin Fischbacher, Professor Nigel Unwin, Professor Martin White
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
Background: South Asian populations in the United Kingdom have a high risk of cardiovascular disease (CVD) mortality. Risk prediction models appear to be inaccurate in South Asians. Objective: To explore the predictive capacity of the FINRISK, Framingham (1991) and SCORE risk prediction models in the Newcastle Heart Project population (n = 1301). Methods: Mortality data for England and Wales were used to define the expected ranking of CVD risk by country of birth. CVD mortality in the Newcastle Heart Project sample was examined. Risk factor measures were obtained from the Newcastle Heart Project, where 90 percent of South Asians were born in the Indian Subcontinent. The predicted outcomes for FINRISK were acute myocardial infarction and CHD mortality, for Framingham CHD mortality, myocardial infarction, new angina and coronary insufficiency and for SCORE CHD and non-CHD CVD mortality. Results: The FINRISK model predicted in South Asian men combined, compared with Europeans, a risk ratio of 122 per cent (SMR 142) with substantial subgroup heterogeneity, e.g. 154 per cent in Bangladeshis (SMR 151), 129 per cent in Pakistanis (SMR 148), 99 per cent in Indians (SMR 142). The FINRISK risk ratios for South Asian women combined were 160 per cent (SMR 145), for Bangladeshis 184 per cent (SMR 91), Pakistanis 172 per cent (SMR 111) and for Indians 145 per cent (SMR 158). The Framingham model results were very similar to FINRISK, but the SCORE model showed comparatively low 10 year risk in all South Asian groups. Both the Framingham stroke model and the SCORE non-CHD CVD model predicted comparatively low rates, while national data showed these to be high. Control of the five major risk factors was modelled by FINRISK to reduce risk by about 59 per cent in South Asian men and 67 per cent in South Asian women, with some subgroup heterogeneity, compared to 50 per cent in European men and 48 per cent in European women. The Framingham model results were similar. The absolute rates for each ethnic group varied by model. Conclusion: The Framingham and FINRISK models gave similar results, mostly following expected patterns, but the SCORE model did not, probably reflecting its lack of inclusion of HDL and diabetes as risk factors. National mortality data and modelled predictions agreed reasonably well for South Asians combined, and Bangladeshi and Pakistani men, but not for Indian men and Pakistani and Bangladeshi women. The varying rates show the limits of modelling. The models suggest the potential gains from controlling major established risk factors could be substantial in South Asians and greater than in Europeans. © The Author 2005, Published by Oxford University Press on behalf of Faculty of Public Health. All rights reserved.
Author(s): Bhopal R, Fischbacher C, Vartiainen E, Unwin N, White M, Alberti G
Publication type: Article
Publication status: Published
Journal: Journal of Public Health
Year: 2005
Volume: 27
Issue: 1
Pages: 93-100
Print publication date: 01/01/2005
ISSN (print): 1741-3842
ISSN (electronic): 1741-3850
Publisher: Oxford University Press
URL: http://dx.doi.org/10.1093/pubmed/fdh202
DOI: 10.1093/pubmed/fdh202
PubMed id: 15749725
Altmetrics provided by Altmetric
