Assessment of the Correlation between Severity of Coronary Artery Disease and Waist-Hip Ratio

The relationship between anemia and obesity

INTRODUCTION

Obesity is linked to a variety of unfavourable outcomes, including anaemia, which is a serious global public health problem. The prevalence of obesity along with anaemia suggests a relationship between obesity and anaemia. Recent studies have demonstrated strong associations between anaemia and obesity, chronic diseases, ageing, hepato-renal impairment, chronic infection, autoimmune diseases, and widespread malignancy. Thus, the intersection point of obesity and anaemia is an important area of attention.

AREA COVERED

This paper reviews the pathophysiology of obesity and anaemia. Then, It deliberates the relationship between obesity and different types of anaemia and other clinical forms associated with anaemia.

EXPERT OPINION

Obesity, especially obesity-related to excessive visceral fat distribution, is accompanied by several disturbances at the endothelial, hormonal, and inflammatory levels. These disturbances induce activation of several mechanisms that contribute to the anaemic state. Over-weight patients with chronic anaemias are required to maintain the related vitamins and minerals at optimum levels and appropriate BMI. In addition, a regular clinical follow-up is essential to be scheduled to reduce the risk of complications associated with anaemia in obese patients.

Association between lifestyles, anthropometric measurements and peripheral arterial disease in public sector health workers

Introduction: Peripheral arterial disease (PAD) occurs when there is a narrowing of the blood vessels outside the heart; this disease is concentrated in low and middle income countries such as Peru. Objectives: To determine the association between lifestyles, anthropometric measurements and PAD in health workers at the Hospital de Huaycan, 2020. Methods: Cross-sectional analytical study that recruited health workers of both sexes, who had no history of cardiovascular disease, type 2 diabetes mellitus nor were pregnant. Lifestyle was measured through a questionnaire and PAD through the ankle-brachial index <0.90 in any leg. Results: In total 184 health workers, 53 men and 131 women with an average age of 46.0 ± 10.0 years were analyzed. The prevalence of PAD was 31% in the total sample. Both the bivariate and multivariate analyses showed that an inadequate lifestyle (PRa = 1.62; 95% CI: 1.08-2.44), high waist-hip ratio (PRa = 1.90; 95% CI: 1.19-3.03) and increased body fat (PRa = 1.03; 95% CI: 1.00-1.07) present an independent and statistically significant association with PAD. Conclusion: There is an association between lifestyles, waist-hip ratio, and body fat percentage with PAD in health workers.

The relationship of body composition indices with the significance, extension and severity of coronary artery disease

BACKGROUND AND AIMS

It is still unclear which anthropometric parameter is most associated with significant coronary artery disease (CAD). We examined the relationship of the prevalence and severity of coronary artery disease with body composition indices.

METHODS AND RESULTS

Patients aged 18-80 years who were admitted to the cardiology outpatient clinic with any complaints, and were indicated for coronary angiography as a result of the examinations, were included in this study and divided into two groups. Group 1 had significant stenosis (161 patients, 104 males, mean age: 64.1 ± 10.5 years), while Group 2 had non-significant stenosis (75 patients, 48 males, mean age: 58.9 ± 11.8 years). Significant stenosis was defined as narrowing of 50% or more of the arterial lumens in any vessel or its lateral branch. Height, weight, waist and hip circumferences and body composition indices of all patients were measured. The SYNTAX and Gensini scores were calculated for all patients undergoing angiography. Group 1 had significantly higher waist circumferences (WC), body roundness indices (BRI), body fat percentages, and waist/height ratios than Group 2. In the correlation analysis, WC, BRI, waist/hip ratio and waist/height ratio were significantly correlated with the Gensini score. WC, hip circumference, BRI, body fat percentage and waist/height ratio were significantly correlated with the SYNTAX score. In the multivariate regression analysis, BRI was the parameter best related to significant CAD.

CONCLUSION

BRI, body fat percentage, waist circumference and waist/height ratio were higher in patients with significant stenosis. BRI was the parameter most closely related to the Gensini and SYNTAX scores and to significant CAD.

Anthropometric measures and the risk of coronary artery disease

BACKGROUND

Nowadays, obesity and overweight are projected to become main risk factors for coronary artery disease (CAD). We aimed to determine the association of anthropometric measures with presence of significant (sig.) CAD as evaluated by coronary angiography, among an adult Iranian population.

METHODS

The present study included 441 patients (men=275) aged > 30 years with suspected CAD, who had undergone coronary angiography between January 2019 and November 2019. All demographic data and patients' medical history as well as clinical examinations were recorded by a trained physician. Coronary angiography was performed using standard techniques to determine the presence of sig. coronary artery lesions. Logistic regression analyses were conducted to assess the odds ratio (OR) of each anthropometric measure for the presence of sig. CAD.

RESULTS

The mean age of participants was 51.2±8.7 years and sig. CAD was detected in 185 patients. Univariate analyses showed that body mass index (BMI), waist circumference (WC), and waist to hip ratio (WHR) were significantly associated with increased risk of CAD. On multivariable logistic regression model, BMI and WHR correlated independently with increased risk of CAD; while higher WC and wrist circumference (WrC) could not predict the CAD risk. The corresponding ORs (95% confidence interval) were 1.36 (1.04-1.74), 1.17 (0.95-1.63), 1.29 (1.12-1.41), and 1.24 (0.76-1.92) for BMI, WC, WHR, and WrC, respectively. Considering the receiver operating characteristic analysis, no superiority was observed for each of the measures for discriminating sig. CAD from non-sig. CAD status.

CONCLUSION

BMI and WHR are independently associated with the presence of CAD among Iranian population. These results emphasize the value of anthropometric assessment among those with suspected CAD.

Association of genetic polymorphisms in SOD2, SOD3, GPX3, and GSTT1 with hypertriglyceridemia and low HDL-C level in subjects with high risk of coronary artery disease

Background

Oxidative stress modulates insulin resistant-related atherogenic dyslipidemia: hypertriglyceridemia (HTG) and low high-density lipoprotein cholesterol (HDL-C) level. Gene polymorphisms in superoxide dismutase (SOD2 and SOD3), glutathione peroxidase-3 (GPX3), and glutathione S-transferase theta-1 (GSTT1) may enable oxidative stress-related lipid abnormalities and severity of coronary atherosclerosis. The present study investigated the associations of antioxidant-related gene polymorphisms with atherogenic dyslipidemia and atherosclerotic severity in subjects with high risk of coronary artery disease (CAD).

Methods

Study population comprises of 396 subjects with high risk of CAD. Gene polymorphisms: SOD2 rs4880, SOD3 rs2536512 and rs2855262, GPX rs3828599, and GSTT1 (deletion) were evaluated the associations with HTG, low HDL-C, high TG/HDL-C ratio, and severity of coronary atherosclerosis.

Results

SOD2 rs4880-CC, SOD3 rs2536512-AA, rs2855262-CC, and GPX3 rs3828599-AA, but not GSTT1^-/- individually increased risk of HTG combined with low HDL-C level. With a combination of five risk-genotypes as a genetic risk score (GRS), GRS ≥ 6 increased risks of low HDL-C, high TG/HDL-C ratio, and HTG combined with low HDL-C, comparing with GRS 0–2 [respective adjusted ORs (95% CI) = 2.70 (1.24–5.85), 3.11 (1.55–6.23), and 5.73 (2.22–14.77)]. Gene polymorphisms, though, were not directly associated with severity of coronary atherosclerosis; high TG/HDL-C ratio was associated with coronary atherosclerotic severity [OR = 2.26 (95% CI [1.17–4.34])].

Conclusion

Combined polymorphisms in antioxidant-related genes increased the risk of dyslipidemia related to atherosclerotic severity, suggesting the combined antioxidant-related gene polymorphisms as predictor of atherogenic dyslipidemia.

Comparison of MESA of and Framingham risk scores in the prediction of coronary artery disease severity

BACKGROUND

The correlation between cardiovascular risk scoring systems and the severity of coronary artery diseases (CAD) is not clear. The present research aimed to evaluate the Multi-Ethnic Study of Atherosclerosis (MESA) risk score and Framingham risk score (FRS), using the Gensini score (GS) system as reference, so as to determine which model is better for the prediction of CAD severity.

METHODS

This research was a single-center and cross-sectional observational study. In total, 1423 patients were included in our study. Three different groups were formed according to GS: 0 < GS ≤ 22 (low GS group, n = 484); 22 < GS ≤ 42 (intermediate GS group, n = 468); GS > 42 (high GS group, n = 471). Logistic and linear regression analyses were carried out to explore the relationship between the risk score models and the GS. The performance of the risk models was determined by receiver operating characteristic curve (ROC) analysis.

RESULTS

The MESA risk score and the FRS both had a statistically significant power for the prediction of CAD severity (MESA area under curve: 0.630; FRS area under curve: 0.613). Furthermore, the MESA had a better performance in predicting the severity (p < 0.05) of CAD compared with the FRS. In the subgroup analysis, the MESA showed a better performance in the male (p < 0.05), diabetes mellitus (p < 0.05), and smoking subgroups (p < 0.05) compared with the FRS.

CONCLUSION

The MESA and FRS predicted the severity of CAD in the Chinese population of this study. Moreover, the MESA had a better performance than the FRS model in predicting the severity of CAD in the overall population as well as in the male, smoking, diabetes, and non-diabetes subgroups.