Literature DB >> 12558481

Risk functions for prediction of cardiovascular disease in elderly Australians: the Dubbo Study.

Leon A Simons1, Judith Simons, Yechiel Friedlander, John McCallum, Latha Palaniappan.   

Abstract

OBJECTIVES: To evaluate a Framingham risk function for coronary heart disease in an elderly Australian cohort and to derive a risk function for cardiovascular disease (CVD) in elderly Australians. DESIGN AND
SETTING: Analysis of data from a prospective cohort study (the Dubbo Study) in a semi-urban town (population, 34 000). PARTICIPANTS: 2805 men and women 60 years and older living in the community, first assessed in 1988, and a subcohort of 2102 free of CVD at study entry. MAIN OUTCOME MEASURES: Incidence of CVD (myocardial infarction, coronary death or stroke) over 5 and 10 years.
RESULTS: A Framingham risk function assessing "hard" coronary heart disease (ie, myocardial infarction or coronary death) accurately predicted 10-year incidence in men and women aged 60-79 years who were free of prevalent CVD or diabetes at study entry. In a multiple logistic model, CVD incidence was significantly predicted by age, sex, taking antihypertensive medication, blood pressure, smoking, total cholesterol level and diabetes. For a given age and cholesterol level, CVD risk over 5 years was doubled in the presence of antihypertensive medication or diabetes, increased by 50% with cigarette smoking, and halved in women compared with men.
CONCLUSIONS: We have derived a simple CVD risk function specifically for elderly Australians that employs risk factors readily accessible to all medical practitioners.

Entities:  

Mesh:

Substances:

Year:  2003        PMID: 12558481      PMCID: PMC3133925     

Source DB:  PubMed          Journal:  Med J Aust        ISSN: 0025-729X            Impact factor:   7.738


  19 in total

1.  Risk factors for acute myocardial infarction in the elderly (the Dubbo study).

Authors:  Leon A Simons; Judith Simons; Yechiel Friedlander; John McCallum
Journal:  Am J Cardiol       Date:  2002-01-01       Impact factor: 2.778

2.  Predicting cardiovascular risk in the elderly in different European countries.

Authors:  S Houterman; H C Boshuizen; W M M Verschuren; S Giampaoli; A Nissinen; A Menotti; D Kromhout
Journal:  Eur Heart J       Date:  2002-02       Impact factor: 29.983

3.  Lipid management guidelines--2001. National Heart Foundation of Australia, The Cardiac Society of Australia and New Zealand.

Authors: 
Journal:  Med J Aust       Date:  2001-11-05       Impact factor: 7.738

4.  Executive Summary of The Third Report of The National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, And Treatment of High Blood Cholesterol In Adults (Adult Treatment Panel III).

Authors: 
Journal:  JAMA       Date:  2001-05-16       Impact factor: 56.272

5.  Dubbo study of the elderly: sociological and cardiovascular risk factors at entry.

Authors:  L A Simons; J McCallum; Y Friedlander; J Simons; I Powell; R Heller
Journal:  Aust N Z J Med       Date:  1991-10

6.  Fasting plasma glucose in non-diabetic elderly women predicts increased all-causes mortality and coronary heart disease risk.

Authors:  L A Simons; Y Friedlander; J McCallum; J Simons
Journal:  Aust N Z J Med       Date:  2000-02

7.  Underestimation of the importance of blood pressure and cholesterol for coronary heart disease mortality in old age.

Authors:  R Clarke; S Lewington; L Youngman; P Sherliker; R Peto; R Collins
Journal:  Eur Heart J       Date:  2002-02       Impact factor: 29.983

8.  Prediction of coronary heart disease mortality in Busselton, Western Australia: an evaluation of the Framingham, national health epidemiologic follow up study, and WHO ERICA risk scores.

Authors:  M W Knuiman; H T Vu
Journal:  J Epidemiol Community Health       Date:  1997-10       Impact factor: 3.710

9.  Rapid method for the isolation of lipoproteins from human serum by precipitation with polyanions.

Authors:  M Burstein; H R Scholnick; R Morfin
Journal:  J Lipid Res       Date:  1970-11       Impact factor: 5.922

10.  MRC/BHF Heart Protection Study of cholesterol lowering with simvastatin in 20,536 high-risk individuals: a randomised placebo-controlled trial.

Authors: 
Journal:  Lancet       Date:  2002-07-06       Impact factor: 79.321

View more
  12 in total

Review 1.  Initiation of statin therapy: are there age limits?

Authors:  Dipan A Desai; Sammy Zakaria; Pamela Ouyang
Journal:  Curr Atheroscler Rep       Date:  2012-02       Impact factor: 5.113

Review 2.  Accuracy and impact of risk assessment in the primary prevention of cardiovascular disease: a systematic review.

Authors:  P Brindle; A Beswick; T Fahey; S Ebrahim
Journal:  Heart       Date:  2006-04-18       Impact factor: 5.994

3.  Cardiovascular risks of calcium supplements in women.

Authors:  Graeme Jones; Tania Winzenberg
Journal:  BMJ       Date:  2008-01-17

4.  Cardiovascular risk prediction tools for populations in Asia.

Authors:  F Barzi; A Patel; D Gu; P Sritara; T H Lam; A Rodgers; M Woodward
Journal:  J Epidemiol Community Health       Date:  2007-02       Impact factor: 3.710

5.  A Decisive Metaheuristic Attribute Selector Enabled Combined Unsupervised-Supervised Model for Chronic Disease Risk Assessment.

Authors:  Sushruta Mishra; Hiren Kumar Thakkar; Priyanka Singh; Gajendra Sharma
Journal:  Comput Intell Neurosci       Date:  2022-06-08

6.  Quality of diabetes care and coronary heart disease absolute risk in patients with type 2 diabetes mellitus in Australian general practice.

Authors:  Q Wan; M F Harris; U W Jayasinghe; J Flack; A Georgiou; D L Penn; J R Burns
Journal:  Qual Saf Health Care       Date:  2006-04

Review 7.  Lipid-modifying therapy in the elderly.

Authors:  Ian Hamilton-Craig; David Colquhoun; Karam Kostner; Stan Woodhouse; Michael d'Emden
Journal:  Vasc Health Risk Manag       Date:  2015-05-14

8.  Independent external validation of cardiovascular disease mortality in women utilising Framingham and SCORE risk models: a mortality follow-up study.

Authors:  Louise Gek Huang Goh; Timothy Alexander Welborn; Satvinder Singh Dhaliwal
Journal:  BMC Womens Health       Date:  2014-09-26       Impact factor: 2.809

9.  Performance of the Framingham risk models and pooled cohort equations for predicting 10-year risk of cardiovascular disease: a systematic review and meta-analysis.

Authors:  Johanna A Damen; Romin Pajouheshnia; Pauline Heus; Karel G M Moons; Johannes B Reitsma; Rob J P M Scholten; Lotty Hooft; Thomas P A Debray
Journal:  BMC Med       Date:  2019-06-13       Impact factor: 8.775

Review 10.  Assessment of cardiovascular disease risk in South asian populations.

Authors:  S Monira Hussain; Brian Oldenburg; Yuanyuan Wang; Sophia Zoungas; Andrew M Tonkin
Journal:  Int J Vasc Med       Date:  2013-09-14
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.