Title : ( Predictive properties of novel anthropometric and biochemical indexes for prediction of cardiovascular risk )
Authors: Amin Mansoori , Maryam Allahyari , Mobina Sadat Mirvahabi , Davoud Tanbakuchi , Sahar Ghoflchi , Elahe Derakhshan-Nezhad , Farnoosh Azarian , Gordon Ferns , Habibollah Esmaily , Majid Ghayour-Mobarhan ,Access to full-text not allowed by authors
Abstract
Objective Our aim was to examine the correlation between CVDs and various anthropometric and biochemical indices in the Iranian population. Methods 9704 healthy individuals without CVD aged 35–65 were enrolled in our study. The anthropometric indices including Body Adiposity Index (BAI), Abdominal Volume Index (AVI), Body Roundness Index (BRI), Waist to Hip Ratio (WHR), Weight-adjusted Waist Index (WWI), Conicity Index (C-Index), A Body Shape Index (ABSI), Waist to Height Ratio (WHtR), Body Surface Area (BSA), Body Mass Index (BMI), Lipid Accumulation Product (LAP) and Visceral Adiposity Index (VAI) were calculated. The biochemical indices including Cardiac Risk Ratio (CRR), Atherogenic Index of Plasma (AIP), Triglycerides-Glucose Index (TyG), Cardiac Risk Index (CRI), Atherogenic Coefficient (AC), and high-sensitivity C-Reactive Protein (hs-CRP) were investigated. The association of the above indices with CVD was analyzed using logistic regression (LR) and the decision tree (DT) models. Results The LR showed age, hs-CRP, AIP, AVI, LAP, and TyG had significant associations with CVDs in men (p-value < 0.002). Also, age, hs-CRP, LAP, TyG, BRI, VAI, and CRR had significant associations with CVDs in women (p-value < 0.002). The DT showed 95% of men with age > = 48, AIP > = 0.94, TyG > = 9.71, and AVI > = 14.24 had CVDs. Also, 97% of women with age > = 54, TyG > = 8.33, and hs-CRP > = 36.69 had CVDs. Conclusion Age, TyG, AIP, AVI, hs-CRP and LAP were the best predictors of CVD in men. Moreover, age, TyG, hs-CRP and BAI were the best indicators of CVD in women.
Keywords
, Cardiovascular diseases, Biochemical indices, Anthropometric indices, Decision tree, Data mining@article{paperid:1102343,
author = {Mansoori, Amin and مریم الهیاری and مبینا سادات میروهابی and داوود تنباکوچی and سحر قفلچی and الهه درخشان نژاد and فرنوش آذریان and گردون فرنس and حبیب الله اسماعیلی and مجید غیور مبرهن},
title = {Predictive properties of novel anthropometric and biochemical indexes for prediction of cardiovascular risk},
journal = {Diabetology and Metabolic Syndrome},
year = {2024},
volume = {16},
number = {1},
month = {December},
issn = {1758-5996},
keywords = {Cardiovascular diseases; Biochemical indices; Anthropometric indices; Decision tree; Data mining},
}
%0 Journal Article
%T Predictive properties of novel anthropometric and biochemical indexes for prediction of cardiovascular risk
%A Mansoori, Amin
%A مریم الهیاری
%A مبینا سادات میروهابی
%A داوود تنباکوچی
%A سحر قفلچی
%A الهه درخشان نژاد
%A فرنوش آذریان
%A گردون فرنس
%A حبیب الله اسماعیلی
%A مجید غیور مبرهن
%J Diabetology and Metabolic Syndrome
%@ 1758-5996
%D 2024