Comparison of the Framingham and United Kingdom Prospective Diabetes Study cardiovascular risk equations in Australian patients with type 2 diabetes from the Fremantle Diabetes Study
- PMID: 19220181
- DOI: 10.5694/j.1326-5377.2009.tb02684.x
Comparison of the Framingham and United Kingdom Prospective Diabetes Study cardiovascular risk equations in Australian patients with type 2 diabetes from the Fremantle Diabetes Study
Abstract
Objective: To assess the performance of the Framingham and United Kingdom Prospective Diabetes Study (UKPDS) cardiovascular risk equations in Australian patients with type 2 diabetes who were initially free of cardiovascular disease (CVD).
Design and setting: The Fremantle Diabetes Study (FDS), a community-based longitudinal observational study; data for the period 1993-2006 were used.
Patients: Of the 815 FDS participants with type 2 diabetes who were initially CVD-free, 791 (97%) were eligible for assessment using the UKPDS equations, and 697 (86%) using the Framingham equation.
Main outcome measures: CVD endpoints during 5 years of follow-up. For the UKPDS equations, these were fatal myocardial infarction (MI) or sudden death (fatal coronary heart disease [CHD]); hospitalisation for/with or death from MI or sudden death (all CHD); fatal stroke; and all stroke. For the Framingham equation, they were all MI, sudden death or angina pectoris (CHD).
Results: During follow-up to first CVD event, death or 5 years, there were 38 MIs (11 fatal) and 23 strokes (13 fatal) in the UKPDS-assessable cohort of FDS participants. The UKPDS risk equations for all CHD, fatal CHD, and all stroke overestimated the number of events by 6.5, 2.8 and 1.8 times, respectively. The risk equation for fatal stroke underestimated the number of events by 38%. The UKPDS CHD risk equations showed modest discrimination and poor calibration, while the stroke risk equations showed good discrimination and calibration. The Framingham equation predicted 28% fewer CHD events than occurred (93 v 130), and discrimination and calibration were poor.
Conclusions: While the UKPDS stroke risk equations performed relatively well, the UKPDS and Framingham CHD risk equations are not suitable for predicting risk in Australians with type 2 diabetes.
Comment in
-
Comparison of the Framingham and United Kingdom Prospective Diabetes Study cardiovascular risk equations in Australian patients with type 2 diabetes from the Fremantle Diabetes Study.Med J Aust. 2009 Jul 6;191(1):47-8; author reply 48. doi: 10.5694/j.1326-5377.2009.tb02683.x. Med J Aust. 2009. PMID: 19580543 No abstract available.
Similar articles
-
Assessing 10-Year Cardiovascular Disease Risk in Malaysians With Type 2 Diabetes Mellitus: Framingham Cardiovascular Versus United Kingdom Prospective Diabetes Study Equations.Asia Pac J Public Health. 2019 Oct;31(7):622-632. doi: 10.1177/1010539519873487. Epub 2019 Sep 19. Asia Pac J Public Health. 2019. PMID: 31535566
-
Prognostic value of the Framingham cardiovascular risk equation and the UKPDS risk engine for coronary heart disease in newly diagnosed Type 2 diabetes: results from a United Kingdom study.Diabet Med. 2005 May;22(5):554-62. doi: 10.1111/j.1464-5491.2005.01494.x. Diabet Med. 2005. PMID: 15842509
-
Comparison of three different methods of assessing cardiovascular disease risk in New Zealanders with Type 2 diabetes mellitus.N Z Med J. 2008 Sep 5;121(1281):49-57. N Z Med J. 2008. PMID: 18797484 Clinical Trial.
-
Cardiovascular risk estimation in 2012: lessons learned and applicability to the HIV population.J Infect Dis. 2012 Jun;205 Suppl 3(Suppl 3):S362-7. doi: 10.1093/infdis/jis196. J Infect Dis. 2012. PMID: 22577209 Free PMC article. Review.
-
Validity of the models predicting 10-year risk of cardiovascular diseases in Asia: A systematic review and prediction model meta-analysis.PLoS One. 2023 Nov 30;18(11):e0292396. doi: 10.1371/journal.pone.0292396. eCollection 2023. PLoS One. 2023. PMID: 38032893 Free PMC article.
Cited by
-
Cardiac risk is not associated with hypertension treatment intensification.Am J Manag Care. 2012 Aug;18(8):414-20. Am J Manag Care. 2012. PMID: 22928756 Free PMC article.
-
Predicting the risk of stroke among patients with type 2 diabetes: a systematic review and meta-analysis of C-statistics.BMJ Open. 2019 Aug 30;9(8):e025579. doi: 10.1136/bmjopen-2018-025579. BMJ Open. 2019. PMID: 31473609 Free PMC article.
-
Biomarkers of cardiovascular disease: contributions to risk prediction in individuals with diabetes.Diabetologia. 2018 May;61(5):987-995. doi: 10.1007/s00125-017-4442-9. Epub 2017 Sep 28. Diabetologia. 2018. PMID: 28956084 Free PMC article. Review.
-
The Michigan Model for Coronary Heart Disease in Type 2 Diabetes: Development and Validation.Diabetes Technol Ther. 2015 Oct;17(10):701-11. doi: 10.1089/dia.2014.0304. Epub 2015 Jul 29. Diabetes Technol Ther. 2015. PMID: 26222704 Free PMC article.
-
Evaluation of risk equations for prediction of short-term coronary heart disease events in patients with long-standing type 2 diabetes: the Translating Research into Action for Diabetes (TRIAD) study.BMC Endocr Disord. 2012 Jul 9;12:12. doi: 10.1186/1472-6823-12-12. BMC Endocr Disord. 2012. PMID: 22776317 Free PMC article.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Medical