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Ankle-brachial index and carotid ultrasound as surrogates for coronary artery disease diagnosis.
Salles Barbosa, Henrique; Tavares Contim, Mariana; Gomes Bastos, Marcus.
Afiliação
  • Salles Barbosa H; Universidade Federal de Juiz de Fora, Juiz de Fora, Brazil.
  • Tavares Contim M; Santa Casa de Misericórdia de Juiz de Fora, Juiz de Fora, Brazil.
  • Gomes Bastos M; Santa Casa de Misericórdia de Juiz de Fora, Juiz de Fora, Brazil.
J Clin Ultrasound ; 2024 Aug 27.
Article em En | MEDLINE | ID: mdl-39189340
ABSTRACT

INTRODUCTION:

Cardiovascular disease represents the foremost cause of death among chronic and non-transmissible diseases. Diagnostic tools commonly used for peripheral and carotid atherosclerosis, such as ankle-brachial index (ABI) and carotid ultrasonography (CU), may contribute as surrogates for the diagnosis of coronary arterial disease (CAD). MATERIAL AND

METHODS:

We report a cross-sectional study of 50 patients referred to elective invasive coronary angiography (ICA). Patients were submitted to ABI and CU-for carotid intima-media thickness (CIMT) and carotid atherosclerotic plaque screening (CAPS). Clinical and demographic variables were also evaluated. CAD was defined as greater than 50% stenosis in at least one coronary artery.

RESULTS:

In logistic regression analysis, only CAPS showed a statistically significant area under the curve (AUC) for CAD prediction 0.812 (95% CI, p <0.001). ABI and CIMT did not show statistically significant performance. For multivariate logistic regression analysis, the model including variables "gender," "dyslipidemia," "smoking," "pack-years," and CAPS predicted CAD better. The AUC for this model was 0.912 (95% CI, p = 0.002).

CONCLUSION:

The screening for carotid atherosclerotic plaques may enhance traditional risk stratification strategies for CAD. Longitudinal studies and bigger samples of subject are needed to allow extrapolation of our findings.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article