Literature DB >> 18803535

How do the Australian guidelines for lipid-lowering drugs perform in practice? Cardiovascular disease risk in the AusDiab Study, 1999-2000.

Lei Chen1, Sophie L Rogers, Stephen Colagiuri, Dominique A Cadilhac, Timothy H Mathew, Andrew N Boyden, Anna Peeters, Dianna J Magliano, Jonathan E Shaw, Paul Z Zimmet, Andrew M Tonkin.   

Abstract

OBJECTIVE: To determine how well the current Pharmaceutical Benefits Scheme (PBS) eligibility criteria for subsidy of lipid-lowering drugs compare with current national guidelines for determining the population at high risk of developing cardiovascular disease (CVD). DESIGN AND PARTICIPANTS: Analyses of the population-based, cross-sectional Australian Diabetes, Obesity and Lifestyle (AusDiab) study, conducted in 1999-2000. The 1991 Framingham risk prediction equation was used to compute 5-year risk of developing first-time CVD in 8286 participants aged 30-74 years with neither CVD nor diabetes. Based on the National Heart Foundation of Australia and Cardiac Society of Australia and New Zealand guidelines, people with either 5-year CVD risk > or = 15% or with 5-year CVD risk of 10%-< 15% and the metabolic syndrome were defined as having estimated high absolute CVD risk. MAIN OUTCOME MEASURES: 5-year CVD risk; estimated population with high CVD risk.
RESULTS: Among participants without prevalent CVD or diabetes, 7.9% of men and 1.5% of women had a 5-year CVD risk > or = 15%. Of the estimated residential Australian population in 2000 aged 30-74 years without CVD or diabetes, 717 000 people were considered to be at high absolute CVD risk. Among the high-risk AusDiab participants without CVD or diabetes, only 16.9% of men and 15.4% of women were being treated with lipid-lowering drugs. Of the 9.6% of participants free of CVD and diabetes who were untreated but eligible for subsidy under PBS criteria, only 27.4% had an estimated high absolute CVD risk.
CONCLUSION: Strategies for CVD prevention using lipid-lowering medications can be improved by adoption of the absolute-risk approach.

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Year:  2008        PMID: 18803535     DOI: 10.5694/j.1326-5377.2008.tb02049.x

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


  3 in total

1.  Translating cholesterol guidelines into primary care practice: a multimodal cluster randomized trial.

Authors:  Charles B Eaton; Donna R Parker; Jeffrey Borkan; Jerome McMurray; Mary B Roberts; Bing Lu; Roberta Goldman; David K Ahern
Journal:  Ann Fam Med       Date:  2011 Nov-Dec       Impact factor: 5.166

2.  Absolute risk representation in cardiovascular disease prevention: comprehension and preferences of health care consumers and general practitioners involved in a focus group study.

Authors:  Sophie Hill; Janet Spink; Dominique Cadilhac; Adrian Edwards; Caroline Kaufman; Sophie Rogers; Rebecca Ryan; Andrew Tonkin
Journal:  BMC Public Health       Date:  2010-03-04       Impact factor: 3.295

3.  General practitioners' use of absolute risk versus individual risk factors in cardiovascular disease prevention: an experimental study.

Authors:  Jesse Jansen; Carissa Bonner; Shannon McKinn; Les Irwig; Paul Glasziou; Jenny Doust; Armando Teixeira-Pinto; Andrew Hayen; Robin Turner; Kirsten McCaffery
Journal:  BMJ Open       Date:  2014-05-15       Impact factor: 2.692

  3 in total

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