Document Detail


Exploring clinical predictors of cardiovascular disease in a central Australian Aboriginal cohort.
MedLine Citation:
PMID:  22345691     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
INTRODUCTION: 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.
DESIGN: Longitudinal cohort.
METHODS: 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.
RESULTS: 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 mmHg and diastolic blood pressure ≥ 70 mmHg were useful predictors of CVD. The co-occurrence of three or more risk variables (fasting glucose ≥ 4.8 mmol/l, total:HDL cholesterol ratio ≥ 5.7, blood pressure (systolic ≥ 120 mmHg; diastolic ≥ 70 mmHg; albumin:creatinine ratio ≥ 5.7 mg/mmol and smoking) had sensitivity of 82.0% and specificity of 59.9% for predicting incident CVD.
CONCLUSION: Age is the strongest predictor of CVD for this population. For clinical identification of individuals at high risk, screening for the combination of three or more of hyperglycaemia, dyslipidaemia, hypertension, albuminuria and smoking may prove a useful and efficient strategy.
Authors:
Joanne N Luke; Alex D Brown; Laima Brazionis; Kerin O'Dea; James D Best; Robyn A McDermott; Zaimin Wang; Zhiqiang Wang; Kevin G Rowley
Publication Detail:
Type:  Journal Article; Multicenter Study; Research Support, Non-U.S. Gov't     Date:  2012-01-24
Journal Detail:
Title:  European journal of preventive cardiology     Volume:  20     ISSN:  2047-4881     ISO Abbreviation:  Eur J Prev Cardiol     Publication Date:  2013 Apr 
Date Detail:
Created Date:  2013-03-06     Completed Date:  2013-08-22     Revised Date:  2014-07-31    
Medline Journal Info:
Nlm Unique ID:  101564430     Medline TA:  Eur J Prev Cardiol     Country:  England    
Other Details:
Languages:  eng     Pagination:  246-53     Citation Subset:  IM    
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MeSH Terms
Descriptor/Qualifier:
Adult
Age Factors
Albuminuria / diagnosis,  ethnology
Australia / epidemiology
Biological Markers / blood
Blood Glucose / metabolism
Blood Pressure
Cardiovascular Diseases / blood,  diagnosis,  ethnology*,  physiopathology
Comorbidity
Dyslipidemias / diagnosis,  ethnology
Female
Health Surveys
Humans
Hyperglycemia / diagnosis,  ethnology
Hypertension / diagnosis,  ethnology
Inflammation Mediators / blood
Insulin / blood
Insulin Resistance / ethnology
Kidney / physiopathology
Linear Models
Lipids / blood
Longitudinal Studies
Male
Metabolic Syndrome X / diagnosis,  ethnology
Middle Aged
Oceanic Ancestry Group / statistics & numerical data*
Odds Ratio
Prevalence
Principal Component Analysis
Risk Assessment
Risk Factors
Smoking / adverse effects,  ethnology
Time Factors
Young Adult
Chemical
Reg. No./Substance:
0/Biological Markers; 0/Blood Glucose; 0/Inflammation Mediators; 0/Insulin; 0/Lipids

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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