Independent risk factors for morphological abnormalities of the internal carotid artery

Chen Yu1, Jian-Qun Xiong, Chang-Ping Dai

  • 1Dept. of Medical Ultrasound, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.

Acta Cardiologica
|November 29, 2013
PubMed

Insights

Carotid abnormalities (CAs) are influenced by both congenital and acquired factors. In individuals over 40, aging, female gender, hypertension, and atherosclerosis are key risk factors for CAs.

Area of Science:

  • Vascular Medicine
  • Cerebrovascular Health
  • Epidemiology

Background:

  • The origins of carotid abnormalities (CAs) remain debated, with uncertainty regarding whether they are congenital or acquired.
  • The role of CAs as risk factors for cerebrovascular diseases versus incidental findings is also under investigation.

Purpose of the Study:

  • To identify independent risk factors associated with carotid abnormalities (CAs).
  • To elucidate the contributing factors in the development of CAs across different age groups.

Main Methods:

  • Prospective classification of observed carotid abnormalities (CAs) based on their nature.
  • Analysis of factors associated with CAs using univariate and multivariate logistic regression models.
  • Inclusion of a wide age range of subjects, from 3 days to 102 years, divided into nine 10-year age groups.

Main Results:

  • Carotid abnormalities (CAs) were present in 30% (552/1,838) of internal carotid arteries studied.
  • Prevalence peaks for CAs were observed in the 0-9 and over 80 years age groups, with the lowest rates in the 20-39 years group.
  • Significant predictors for CAs in adults (≥40 years) included advanced age, female gender, hypertension, and carotid artery atherosclerosis. In younger subjects (0-19 years), age was also a significant predictor.

Conclusions:

  • Both congenital and acquired factors contribute to the development of carotid abnormalities (CAs).
  • In individuals aged 40 and older, acquired factors such as aging, female gender, hypertension, and atherosclerosis are strongly associated with CAs.
  • The study highlights the multifactorial nature of CAs and identifies key risk factors across the lifespan.
Abstract

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