The role of traditional obesity parameters in predicting the number of stenosed coronary arteries (≥ 60%) among patients undergoing cardiac catheterization

Abstract

The correlation between obesity and coronary artery disease (CAD) has been well-documented in the literature. Body mass index, waist–height ratio, waist–hip ratio, body adiposity index, body shape index, waist circumference, and hip circumference are traditional obesity parameters used to measure obesity. This study aimed to investigate the role of these traditional obesity parameters in the prediction of the number of stenosed coronary arteries (≥ 60%) among patients undergoing cardiac catheterization. A descriptive cross-sectional study was conducted among 220 hospitalized patients undergoing cardiac catheterization in two hospitals in Jordan. Bivariate Pearson’s correlation and forward linear regression analysis were used in the current study. Hip circumference was identified as being the best predictor of CAD (r = 0.5), with the best cut-off value of 103 cm (sensitivity = 0.92, specificity = 0.58). Hip circumference had significant regression levels with the number of stented coronary arteries (P = 0.002) and the number of severe stenosed coronary arteries (P = 0.04). The second-best obesity parameter in predicting CAD was waist circumference (r = 0.4), with a cut-off value of 0.95 m (sensitivity = 0.76, specificity = 0.68). High-sensitivity C-reactive protein (HS-CRP), triglycerides, and smoking had significant positive correlations with the number of stented coronary arteries (P < 0.05). Hip circumference of ≥ 103 cm, increased serum level of triglycerides, HS-CRP, and being a smoker are all factors which can predict CAD or the risk of developing it.

The Role of Traditional Obesity Parameters in Predicting Frailty among Coronary Artery Disease Patients Undergoing Cardiac Catheterization

“…A secondary data analysis was adopted from an original study [9]. e aim of this study was to determine the role of the traditional obesity parameters in predicting frailty among hospitalized CAD patients undergoing cardiac catheterization.…”

The association of traditional obesity parameters with the length of stay among patients with coronary artery disease: A cross-sectional study

“…A secondary data analysis of the original correlative descriptive cross-sectional study [ 20 ] was carried out in this paper. This quantitative design was used to investigate precise relationships between the measurable variables included in the study.…”

“…The original study [ 20 ] was conducted at 2 main referral hospitals, wherein most CAD patients were from Jordan northern and middle regions. The recruitment in the original study [ 20 ] took place in medical wards, coronary care units (CCUs), intensive care units (ICUs), and emergency departments, with the total number of beds being 920.…”

“…The original study [ 20 ] was conducted at 2 main referral hospitals, wherein most CAD patients were from Jordan northern and middle regions. The recruitment in the original study [ 20 ] took place in medical wards, coronary care units (CCUs), intensive care units (ICUs), and emergency departments, with the total number of beds being 920. The sample size in the original study [ 20 ] was calculated using G power analysis with the following settings: “ F test” as family test and linear hierarchical multiple regression with effect size 0.15, alpha error probability 0.05, power 0.8, and 25 predictor variables.…”

“…To be included in the original study, [ 20 ] the participants had to be: Jordanian, aged at least 18 years, hospitalized for cardiac catheterization, and diagnosed with cardiovascular disease by the cardiologist who scheduled the patient cardiac catheterization. The exclusion criteria were: patients with severe organ diseases, such as severe liver disease (bilirubin > 5 mg/dL, international normalized ratio ≥ 1.5) [ 21 ] and renal failure (serum creatinine > 2.8 mg/dL), [ 22 ] women who are pregnant, patients who previously underwent a coronary artery bypass graft surgery, patients with autoimmune diseases, and patients taking immunosuppressive medications on account of an organ transplant and/or cancer.…”