The Analysis between the Socioeconomic Factor and the Atherosclerotic Cardiovascular Disease Risk: The 7th Korea National Health and Nutrition Examination Survey (1st Year), 2016

BACKGROUND: The purpose of this study was to analyze the socioeconomic factors that affect atherosclerotic cardiovascular disease risk.METHODS: We used data from 3,704 individuals between 40 and 79 years of age, who participated in the Korean National Health Examination and Nutrition Survey in 2016. Socioeconomic groups were categorized by income and education level. We analyzed the odds ratios and 95% confidence intervals (CIs) from logistic regression for the atherosclerotic cardiovascular disease risk in each group.RESULTS: Using logistic regression analysis, the odds ratios and 95% CIs of atherosclerotic cardiovascular disease risk based on high, middle, and low socioeconomic factors were 1.0, 1.597 (95% CI, 1.279–1.993), and 5.689 (95% CI, 4.030–8.032), respectively. The results after adjusting for covariates (age, gender, obesity, alcohol consumption) also showed statistical significance.CONCLUSION: We conclude that socioeconomic factors such as income and education level are correlated with increased atherosclerotic cardiovascular disease risk.

Association between Coronary Atherosclerotic Plaque Composition and Cardiovascular Disease Risk / 生物医学与环境科学（英文）

OBJECTIVE@#The objective of this study is to determine whether coronary atherosclerotic plaque composition is associated with cardiovascular disease (CVD) risk in Chinese adults.@*METHODS@#We performed a cross-sectional analysis in 549 subjects without previous diagnosis or clinical symptoms of CVD in a community cohort of middle-aged Chinese adults. The participants underwent coronary computed tomography (CT) angiography for the evaluation of the presence and composition of coronary plaques. CVD risk was evaluated by the Framingham risk score (FRS) and the 10-year atherosclerotic cardiovascular disease (ASCVD) risk score.@*RESULTS@#Among the 549 participants, 267 (48.6%) had no coronary plaques, 201 (36.6%) had noncalcified coronary plaques, and 81 (14.8%) had calcified or mixed coronary plaques. The measures of CVD risk including FRS and ASCVD risk score and the likelihood of having elevated FRS significantly increased across the groups of participants without coronary plaques, with noncalcified coronary plaques, and with calcified or mixed coronary plaques. However, only calcified or mixed coronary plaques were significantly associated with an elevated ASCVD risk score [odds ratio (OR) 2.41; 95% confidence interval (CI) 1.09-5.32] compared with no coronary plaques, whereas no significant association was found for noncalcified coronary plaques and elevated ASCVD risk score (OR 1.25; 95% CI 0.71-2.21) after multivariable adjustment.@*CONCLUSION@#Calcified or mixed coronary plaques might be more associated with an elevated likelihood of having CVD than noncalcified coronary plaques.

Pattern of Thyroid Dysfunction in Patients with Metabolic Syndrome and Its Relationship with Components of Metabolic Syndrome

BACKGROUND: Thyroid dysfunction (TD) and metabolic syndrome (MetS) are known risk factors for atherosclerotic cardiovascular disease (ASCVD). TD is risk factor for ASCVD mediated by the effects of thyroid hormones on lipid metabolism and blood pressure hence the components of MetS. It is possible that coexistence of these two disease entities and unrecognized TD in patients with MetS might substantially increase ASCVD risk. Moreover, little is known about the relationship between TD and the components of MetS. Thus, the purpose of this study was to evaluate the pattern of TD in patients with MetS and its relationship with components of the MetS. METHODS: A total of 358 previously diagnosed patients with MetS were recruited in the study. The thyroid function test parameters were measured to classify TD at Dhulikhel Hospital-Kathmandu University Hospital, Dhulikhel, Nepal. Statistical analyses were performed using SPSS version 16.0 to evaluate pattern and relationship. RESULTS: The overall prevalence of TD in patients with MetS was 31.84% with high prevalence of subclinical hypothyroidism (29.32%). We found no evidence of a relationship between TD and components of MetS, although there was significant difference in waist circumference between four groups of TD. CONCLUSION: Patients with MetS had subclinical hypothyroidism greatly. Although there was no evidence of any relationship between thyroid status and all components of MetS, TD should be taken into account when evaluating and treating patients with MetS to reduce the impending risk.

Factors Associated with Glycemic Variability in Patients with Type 2 Diabetes: Focus on Oral Hypoglycemic Agents and Cardiovascular Risk Factors

BACKGROUND: The role of glycemic variability (GV) in development of cardiovascular diseases remains controversial, and factors that determine glucose fluctuation in patients with diabetes are unknown. We investigated relationships between GV indices, kinds of oral hypoglycemic agents (OHAs), and cardiovascular risk factors in patients with type 2 diabetes mellitus (T2DM). METHODS: We analyzed 209 patients with T2DM. The GV index (standard deviation [SD] and mean absolute glucose change [MAG]) were calculated from 7-point self-monitoring of blood glucose profiles. The patients were classified into four groups according to whether they take OHAs known as GV-lowering (A) and GV-increasing (B): 1 (A only), 2 (neither), 3 (both A and B), and 4 (B only). The 10-year risk for atherosclerotic cardiovascular disease (ASCVD) was calculated using the Pooled Cohort Equations. RESULTS: GV indices were significantly higher in patients taking sulfonylureas (SUs), but lower in those taking dipeptidyl peptidase-4 inhibitors. In hierarchical regression analysis, the use of SUs remained independent correlates of the SD (beta=0.209, P=0.009) and MAG (beta=0.214, P=0.011). In four OHA groups, GV indices increased progressively from group 1 to group 4. However, these did not differ according to quartiles of 10-year ASCVD risk. CONCLUSION: GV indices correlated significantly with the use of OHAs, particularly SU, and differed significantly according to combination of OHAs. However, cardiovascular risk factors and 10-year ASCVD risk were not related to GV indices. These findings suggest that GV is largely determined by properties of OHAs and not to cardiovascular complications in patients with T2DM.