Association between waist-hip ratio and coronary artery calcification in postmenopausal women

Association of neck circumference and waist-hip ratio with total leukocyte count in healthy Indian adolescents

OBJECTIVES

One of the major risk factors for cardiovascular disease is obesity, particularly abdominal and visceral obesity. Another concern for it is inflammation. Both risk factors are interrelated as obesity is a state of subacute low-grade systemic inflammation. As neck circumference and waist-hip ratio are potential indicators of obesity, we wanted to compare the level of total leukocyte count in subjects with normal and high neck circumference and waist-hip ratio. We also wanted to observe whether there is any correlation between neck circumference and waist-hip ratio with total leukocyte count.

METHODS

We selected 62 subjects (30 males, and 32 females) for the study. Both males and females were categorized into groups of normal and high neck circumference and waist-hip ratios. The total leukocyte count was compared among the groups and we correlated neck circumference and waist-hip ratios with total leukocyte count. Statistical analysis was done with SPSS version 23.0.

RESULTS

We observed a statistically significant higher value of total leukocyte count in males with a high waist-hip ratio. But there was not a significant increase in TLC in males with high neck circumference. In females, the values were insignificant. On Pearson correlation, there was a negative correlation between neck circumference, waist-hip ratio, and total leukocyte count in both genders which is not significant.

CONCLUSIONS

These findings suggest that waist-hip ratio rather than neck circumference might be a proxy measure of a marker of inflammation in males.

Cardiovascular risk factors and pericardial fat volume as predictors of coronary atherosclerosis burden in postmenopausal women: A retrospective, single center study

Background and Aims

Little is known about the clinical relevance of pericardial fat volume (PFV), compared to other conventional cardiovascular risk factors, as predictors of coronary atherosclerosis severity among postmenopausal women. Our main aim was to assess the association of PFV and cardiovascular risk factors with coronary atherosclerosis burden, including occlusive coronary artery disease (CAD) (luminal stenosis >50%), coronary artery calcium score (CAC) >100, and plaque types in postmenopausal women.

Methods

Patients who had chest pain of angina and referred for 64‐slice multi‐detector CT (MDCT) angiography examination to exclude occlusive CAD presence were enrolled in this retrospective study.

Results

A total of 241 women with absence of menses for more than 2 consecutive years and not taking hormone replacement therapy were enrolled in the present study. Increased PFV (OR [CI] = 1.1 [1−1.3], p = 0.004), age (OR [CI] = 1.1 [1−1.4], p = 0.002), and diabetes mellitus (OR [CI] = 2 [1−4], p = 0.025) were significant predictors of occlusive CAD presence. Increased PFV (OR [CI] = 1.1 [1−1.4], p = 0.017) and increased age (OR [CI] = 1.2 [1.1−1.4], p < 0.001) were better predictors of CAC >100 than other cardiovascular risk factors. Regarding coronary plaque types, increased age (OR [CI] = 1.1 [1.1−1.3], p = 0.001) showed a significant association with coronary calcified plaque presence while increased body mass index(OR [CI] = 1.2 [1−1.4], p = 0.018) showed a significant association with coronary non‐calcified plaque presence.

Conclusion

Higher PFV values showed an independent association with occlusive CAD and significant coronary calcification. This may imply that increased PFV is likely associated with the development of advanced and severe phenotype of coronary atherosclerosis among postmenopausal women with suspected CAD.

Association Between Measures of Body Composition and Coronary Calcium: Findings From the Multi-Ethnic Study of Atherosclerosis

Background Obesity, as measured by body mass index, is widely recognized as a risk factor for the development of cardiovascular disease. However, the role of body composition components such as fat and lean mass is not well studied. Methods and Results A total of 3129 patients who underwent computed tomography scans for quantification of coronary artery calcification and had bioelectrical impedance analysis of body composition (fat mass and fat-free mass) during exam 5 of MESA (Multi-Ethnic Study of Atherosclerosis) were included in this cross-sectional analysis. Multivariable adjusted linear regression analysis was performed to assess the relationship between both fat mass and fat-free mass to prevalent coronary artery calcification, a marker of subclinical coronary artery disease quantified by both the coronary artery calcification (CAC) Agatston score and the spatially weighted calcium score. CAC and spatially weighted calcium score were natural log-transformed for analysis as continuous variables. Fat-free mass, but not fat mass, was independently associated with CAC. There was a 7.6% prevalence risk difference for CAC>0 per 10 kg. Fat-free mass was also significantly associated with natural log of CAC (coefficient=0.272, P<0.001). Both fat-free mass and fat mass were positively associated with natural log of spatially weighted calcium score, with risk difference coefficients of 0.729 and 0.359, respectively (P<0.001). Conclusions In this cross-sectional study, higher lean mass by bioelectrical impedance analysis and, to a lesser extent, higher fat mass by bioelectrical impedance analysis were significantly associated with higher coronary calcium, a marker of subclinical cardiovascular disease. Further exploration of the relationship between components of body composition and the development of cardiovascular disease is warranted.

Total cholesterol/high-density lipoprotein cholesterol and low-density lipoprotein cholesterol/high-density lipoprotein cholesterol as predictors of coronary artery calcification assessed by multidetector computed tomography coronary angiography

BACKGROUND

Coronary artery calcification (CAC) is an important marker of total burden of coronary atherosclerosis. Furthermore, it is a measure of subclinical atherosclerotic disease that correlates well with the cardiovascular risk. The aim of our study was to determine the role of the different lipid parameters in prediction of calcification in coronary arteries using multidetector computed tomography (MDCT).

METHODS

This study was conducted on 120 patients presenting to the clinic with typical or atypical chest pain or dyspnea on exertion, or equivocal stress test results along with standard cardiac risk factors; they all underwent computed tomography (CT) coronary angiography. A total calcium score was determined by summing individual lesion scores from each of our anatomic sites: left main (LM), left anterior descending (LAD), left circumflex (LCX), and right coronary artery (RCA). The amount of calcium present in the coronary arteries was scored according to Agatston score, and patients were divided into 2 groups based on absence (group I) and presence (group II) of CAC. Clinical characteristics, lipid ratios, and a full blood count were calculated and compared between both groups.

RESULTS

Mean and standard deviation (SD) for age of group I was 52.4 ± 8.4 years, while that of group II was 53.7 ± 7.9 (P > 0.005). Patients in group II had a higher total cholesterol (TC), low-density lipoprotein (LDL), TC/high-density lipoprotein cholesterol (HDL-C) and LDL/HDL-C ratio, and lower HDL levels. TC/HDL ratio and LDL/HDL ratio were found to be good predictors of calcium using a regression analysis model. Finally, at a cut-off value of ≥ 3.108, LDL/HDL ratio showed a sensitivity of 58.8% and specificity of 84.6% in prediction of coronary calcium, while TC/HDL ratio ≥ 4.742 showed a sensitivity of 60.3% and specificity of 88.5%.

CONCLUSION

Amongst the different lipid parameters, TC/HDL-C and LDL/HDL ratio were found to be good predictors of presence of CAC in coronary arteries.