Ultrasonography (Jul 2021)

Noninvasive prediction of carotid artery atherosclerosis by multiple abdominal fat indices measured via ultrasonography

  • Mohammed Hazem,
  • Mahmoud Elsamman,
  • Shamardan Bazeed,
  • Mohammed Zaki

DOI
https://doi.org/10.14366/usg.20109
Journal volume & issue
Vol. 40, no. 3
pp. 366 – 377

Abstract

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Purpose The purpose of this study was to evaluate the efficiency of multiple abdominal fat indices as measured via ultrasonography for predicting the presence and severity of carotid artery atherosclerosis and to compare the predictive capacity of ultrasonographic measurements to that of anthropometric measurements. Methods A total of 92 patients were included in this study. All participants underwent clinical and laboratory assessments, and anthropometric measurements were obtained. Ultrasound examinations were performed to measure the values of all abdominal fat indices and the intima-media thickness, as well as to detect the presence of atherosclerotic plaques. Univariate and multivariate logistic regression analyses were performed. Results In the multivariate analysis, significant associations were detected between carotid artery atherosclerosis and posterior right perinephric fat thickness (PRPFT) (hazard ratio [HR], 15.23; P<0.001), preperitoneal fat thickness (PPFT) (HR, 4.31; P=0.003), visceral adipose tissue volume (VAT) (HR, 7.61; P<0.001), visceral fat thickness (VFT) (HR, 8.84; P<0.001), the ratio of VFT to subcutaneous fat thickness (VFT/SCFT) (HR, 9.39; P<0.001), and waist-to-height ratio (WHtR) (HR, 2.65; P=0.046). In the multivariate analysis, significant associations were also detected between carotid artery plaque and PRPFT (HR, 7.09; P<0.001), the abdominal wall fat index (AFI) (HR, 3.58; P=0.010), and VFT/SCFT (HR, 4.17; P=0.006). Conclusion Many abdominal fat indices as measured by ultrasound were found to be strong predictors of carotid artery atherosclerosis, including PRPFT, VFT/SCFT, VFT, VAT, PPFT, and WHtR. Moreover, PRPFT, VFT/SCFT, and AFI were identified as strong predictors of the presence of carotid artery plaque.

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