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J Med Imaging Radiat Oncol ; 59(1): 20-5, 2015 Feb.
Article in English | MEDLINE | ID: mdl-25335853

ABSTRACT

INTRODUCTION: Ultrasound-acquired internal carotid arterial (ICA) pulsatility indices (PI) have been demonstrated to be useful measures of cerebrovascular disease. The purpose of this cross-sectional study was to investigate the association between carotid artery PI, cardiovascular risk and ischaemic heart disease in aging women. METHODS: One hundred and fifty-eight female participants of the Longitudinal Assessment of Ageing in Women study, aged 48-85 years, were evaluated. The relationships between common carotid artery (CCA) and ICA Doppler PI to cardiovascular risk factors (age, body mass index, systolic and mean arterial blood pressure, smoking and diabetes), carotid-femoral (femPWV) and carotid-radial (radPWV) pulse wave velocities, and ischaemic heart disease (IHD) were assessed using Spearman's rank correlation (ρ), multiple regression and logistic regression. Dependent variables were Box-Cox transformed to meet linear regression assumptions. RESULTS: CCA and ICA PI were significantly correlated to femPWV (ρ = 0.414 and ρ = 0.544, respectively). Cardiovascular risk factors were significantly predictive of CCA PI (Adj R(2) = 0.176, P < 0.01); however, their relationship to ICA PI (Adj R(2) = 0.508, P < 0.01) was stronger. This result was comparable with the relationship between cardiovascular risk factors and femPWV (Adj R(2) = 0.561, P < 0.01). Age and systolic blood pressure were the dominant risk factors for IHD in this group. CONCLUSION: ICA PI is comparable with femPWV in its association with cardiovascular disease. PI does not improve the prediction of IHD over age and systolic blood pressure.


Subject(s)
Carotid Arteries/diagnostic imaging , Cerebrovascular Disorders/diagnostic imaging , Cerebrovascular Disorders/epidemiology , Myocardial Ischemia/diagnostic imaging , Myocardial Ischemia/epidemiology , Ultrasonography, Doppler/statistics & numerical data , Aged , Aged, 80 and over , Australia/epidemiology , Causality , Comorbidity , Female , Humans , Middle Aged , Pulsatile Flow , Risk Assessment , Women's Health/statistics & numerical data
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