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Non-Invasive Prediction of Coronary Artery Disease by Multiple Abdominal Fat and Anthropometric Indices: Revisit

Authors Hazem M, Ezzat M, Elsamman MK, AlYahya A, Alam-Eldeen MH

Received 1 December 2020

Accepted for publication 15 January 2021

Published 9 February 2021 Volume 2021:14 Pages 387—398


Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Dr Scott Fraser

Mohammed Hazem,1,2 Mohamed Ezzat,3 Mahmoud Elsamman,4 Abdulwahab AlYahya,1,5 Mohamad Hasan Alam-Eldeen2

1Department of Surgery, College of Medicine, King Faisal University, Al-Ahsa, 31982, Saudi Arabia; 2Department of Radiology, Faculty of Medicine, Sohag University, Sohag, Egypt; 3Cardiology Division, Internal Medicine Department, Faculty of Medicine, Sohag University, Sohag, Egypt; 4Gastroenterology Division, Internal Medicine Department, Faculty of Medicine, Sohag University, Sohag, Egypt; 5Radiology Department, Polyclinic Center, King Faisal University, Al-Ahsa, 31982, Saudi Arabia

Correspondence: Mohammed Hazem Tel +0966562426860

Purpose: The aim of this study was to evaluate the efficiency of multiple abdominal fat indices measured by ultrasound and anthropometric indices to predict the presence and severity of coronary artery disease (CAD) assessed by coronary angiography.
Patients and Methods: All participants subjected to clinical and laboratory assessments. Anthropometric measurements were taken followed by an ultrasound examination to measure fat thickness at multiple abdominal areas. Lastly, selective coronary angiography performed by the Judkins technique. Statistical analysis was performed to detect the association between all variables and CAD, followed by regression analysis, and Odds ratio (OR) was used to quantifies the strength of the association between two events.
Results: From the abdominal indices, the posterior right perinephric fat thickness (PRPFT) above the best cutoff value had the highest hazard ratio (HR: 12.3, p = 0.001), followed by visceral adipose tissue volume (VAT) (HR: 10.7, p < 0.001), waist circumference (WC) (HR: 6.7, p = 0.001), visceral fat thickness (VFT) (HR: 5.7, p = 0.002), and body mass index (BMI) (HR: 5.48, p = 0.017). It also showed an independent association between the severity of CAD and WC (HR: 4.28, p = 0.012), VFT (HR: 3.7, p = 0.032), VAT (HR: 3.7, p = 0.034), and waist to height ratio (WHtR) (HR: 3.3, p = 0.033).
Conclusion: Posterior perinephric fat thickness and visceral adipose tissue volume measured by ultrasound are strong noninvasive predictors for coronary artery disease, followed by body mass index, waist circumference and visceral fat thickness.

Keywords: posterior perinephric fat, abdominal fat thickness, abdominal ultrasound, anthropometric measurements, coronary artery disease

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