Exploring clinical predictors of cardiovascular disease in a central Australian Aboriginal cohort

European Journal of Preventive Cardiology
Joanne N LukeK Rowley

Abstract

For Aboriginal populations, predicting individuals at risk of cardiovascular disease (CVD) is difficult due to limitations and inaccuracy in existing risk-prediction algorithms. We examined conventional and novel risk factors associated with insulin resistance and the metabolic syndrome and assessed their relationships with subsequent CVD events. Longitudinal cohort. Aboriginal people (n = 739) from Central Australia completed population-based risk-factor surveys in 1995 and were followed up in 2005. Principal components analysis (PCA), regression and univariate analyses (using ROC defined cut-off points) were used to identify useful clinical predictors of primary CVD. PCA yielded five components: (1) lipids and liver function; (2) insulin resistance; (3) blood pressure and kidney function; (4) glucose tolerance; and (5) anti-inflammatory (low fibrinogen, high HDL cholesterol). Components 2, 3 and 4, and age were significant independent predictors of incident CVD, and smoking approached significance. In univariate analysis fasting glucose ≥ 4.8 mmol/l, total:HDL cholesterol ratio ≥ 5.7, non-HDL cholesterol ≥ 4.3 mmol/l, gamma-glutamyl transferase ≥ 70 U/l, albumin creatinine ratio ≥ 5.7 mg/mmol, systolic blood pressure ≥ 120 mm...Continue Reading

References

May 15, 2002·Diabetes Research and Clinical Practice·M DanielK O'Dea
Aug 5, 2003·Internal Medicine Journal·A R CloughB J Currie
Dec 20, 2005·Heart, Lung & Circulation·Andrew TonkinUNKNOWN Cardiac Society of Australia and New Zealand
Apr 21, 2007·Metabolism: Clinical and Experimental·Zaimin WangKerin O'Dea
May 20, 2009·The Medical Journal of Australia·Joanne N LukeKevin G Rowley
Jul 21, 2010·Australian and New Zealand Journal of Public Health·Zhiqiang Wang, Wendy E Hoy

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Citations

Apr 2, 2013·Diabetes Research and Clinical Practice·Joanne N LukeKevin G Rowley
Apr 5, 2017·Diabetic Medicine : a Journal of the British Diabetic Association·E L M BarrL J Maple-Brown
Jul 31, 2013·Australian and New Zealand Journal of Public Health·Katina D'OniseSandra K Campbell

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Methods Mentioned

BETA
PCA
pharmacotherapy

Software Mentioned

Statistical Packages for the Social Sciences ( SPSS )

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