Gender and Racial Differences in the Cardiovascular Risk Factors among Overweight and Obese Rural Adults, Kuching and Samarahan Division, Sarawak, Malaysia

Evaluation of the relationship between atherosclerosis and Helicobacter pylori infection with measurement of growth differentiation factor 15 and atherosclerosis indicators in adults with no comorbidity

BACKGROUND

The aim of this study was to investigate presence of subclinical atherosclerosis by measuring carotid intima-media thickness (CIMT) in patients with Helicobacter pylori (HP) and to assess effects of HP on atherosclerosis by evaluating markers of atherosclerosis and blood growth differentiation factor (GDF-15) levels.

MATERIALS AND METHODS

This cross-sectional study included 59 patients without comorbid disease who had HP and 30 healthy controls without HP in upper endoscopic biopsy. In order to assess atherosclerosis, the CIMT measurement was performed by sonography. Serum GDF-15 level was measured by ELISA method. In all patients, atherosclerosis markers were recorded. Atherogenic indices were calculated, including Castelli risk index I and II (TG/HDL-c and LDL-c/HDL-c, respectively), plasma atherogenic index (PAI; log TG/HDL-c), non-HDL-c (TH-HDL-c) and atherogenic coefficient (AC; non-HDL-HDL-c).

RESULTS

The GDF-15 level and CIMT were significantly higher in HP-positive group when compared to HP-negative group (p≤0.001). There was a significant correlation between serum GDF-15 level and CIMT (r=0.445; p≤0.001). There was no correlation between other atherosclerosis markers and serum GDF-15 level or CIMT. The bacterial intensity on endoscopic specimen was only correlated with CIMT (p<0.001). Vitamin B12 and D levels were comparable among groups.

CONCLUSION

This study suggested that there was a correlation between GDF-15 level and subclinical atherosclerosis development in patients with HP. However, GDF-15 level, which was found to be elevated while atherogenic indices were normal, can be an earlier marker for subclinical atherosclerosis.

Longitudinal trajectories of atherogenic index of plasma and risks of cardiovascular diseases: results from the Korean genome and epidemiology study

BACKGROUND

Although the atherogenic index of plasma (AIP) based on a single measurement is a known risk factor for cardiovascular disease (CVD), little is known about whether changes in AIP over time are related to incident CVD. We aimed to determine whether AIP trajectory, which reflects homogenous AIP trends for a particular period, is associated with CVD risk.

METHODS

Data from 5,843 participants of the Korean Genome and Epidemiology Study (KoGES) were analyzed. The KoGES had been conducted biennially from the baseline survey (2001-2002) to the eighth follow-up survey (2017-2018). The research design specifies the exposure period from baseline to the third follow-up, designates the latent period at the fourth follow-up, and establishes the event accrual period from the fifth to the eighth follow-up. During the exposure period, we identified two trajectories: a decreasing (n = 3,036) and an increasing group (n = 2,807) using latent variable mixture modeling. Information on CVD was collected initially through the self-reporting, followed by in depth person-to-person interview conducted by a well-trained examiner. During the event accrual period, the cumulative incidence rates of CVD between the two AIP trajectory groups were estimated using Kaplan-Meier analysis with the log-rank test. Multiple Cox proportional hazard models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs).

RESULTS

The increasing AIP trajectory group had a significantly higher cumulative incidence rate of CVD than the decreasing AIP trajectory group. Compared to the decreasing AIP trajectory group, the increasing AIP trajectory group had a higher risk of incident CVD (HR: 1.31, 95% CI: 1.02-1.69) after adjusting for confounders.

CONCLUSIONS

The risk of incident CVD increased when the AIP level showed an increasing trend and remained high over a long period. This suggests that checking and managing the trajectory of the AIP can be a preventive strategy for incident CVD.

The sensibility of the new blood lipid indicator--atherogenic index of plasma (AIP) in menopausal women with coronary artery disease

Background

Dyslipidemia is a key driver of coronary artery disease (CAD) development. This study aimed to determine whether the atherogenic index of plasma (AIP), a novel comprehensive lipid index, is an independent and reliable predictor of CAD risk in postmenopausal women.

Methods

A cohort of consecutive 4644 postmenopausal women (aged 50 or above) undergoing coronary angiography (CAG) in Anzhen Hospital (Beijing, China) from January–December 2014 was included in the analysis. Of them, 3039 women were CAD patients, and 1605 were non-CAD subjects.

Results

Relative to control subjects, TG levels in CAD patients were higher and HDL-C levels were lower. In CAD patients, non-traditional lipid profile values (TC/HDL-C, AI, and AIP) were significantly elevated relative to controls. AIP was positively correlated with TC (r = 0.157), TG (r = 0.835), LDL-C (r = 0.058), non-HDL-C (r = 0.337), TC/HDL-C (r = 0.683), LDL-C/HDL-C (r = 0.437), LCI (r = 0.662), and AI (r = 0.684), and negatively correlated with HDL-C (r = − 0.682) (all P < 0.001), but was independent of age (r = − 0.022; P = 0.130) and BMI (r = 0.020, P = 0.168). Aunivariate logistic regression analysis revealed AIP to be the measured lipid parameter most closely related to CAD, and its unadjusted odds ratio was 1.824 (95% CI: 1.467–2.267, P < 0.001). After adjusting for several CAD risk factors (age, BMI, smoking, drinking, EH, DM, hyperlipidemia, and family history of CVD, AIP was still found to represent a significant CAD risk factor (OR 1.553, 95% CI: 1.234–1.955, P < 0. 001).

Conclusion

AIP may be a powerful independent predictor of CAD risk in Chinese Han postmenopausal women, and may be superior to the traditional lipid indices.

The complications of overweight and obesity according to obesity indicators (body mass index and waist circumference values) in a population of Tangier (northern Morocco): A cross-sectional study

AIM

The aim of this work was to study overweight and obesity and their associated complications according to obesity indicators in a population of Tangier.

METHODS

A total of 480 overweight and obese patients were included in this study, referred to hospital Duc Tovar of Tangier during a period of 12 months. The collection of data has been done through a questionnaire which included anthropometric, clinical and biochemical characteristics of each patient. Statistical analyses included chi2 test, student's t-test, ANOVA, and multiple linear regression analyses.

RESULTS

The mean age of our patients was 45.56 ± 12.23 years, the mean body mass index (BMI) was 33.97 ± 5.84 Kg/m² and the average waist circumference (WC) was 109.78 ± 15.42 cm. Overweight affected 25.2% and obesity 74.8%, whose 88.8% of subjects had abdominal obesity. All the metabolic abnormalities were significantly associated with abdominal obesity (measured by WC). However, only total cholesterol (p₌0.001) and triglycerides (p₌0.000) were significantly associated with different classes of obesity (measured by BMI). The most common complications of obesity and overweight were: type 2 diabetes (56.8%), arterial hypertension (52%), dyslipidaemia (43.9%), and cardiovascular disease (CVD) (24.3%). Hypertension and hyperglycaemia were the major risk factors for developing CVD with OR = 3.81 (95% CI:1.363-10.698; p < 0.05) and OR = 2.610 (95% CI:1.648-4.133; p < 0.001) respectively.

CONCLUSION

Obesity exposes to several chronic complications, the most important in our study were type 2 diabetes and hypertension; these complications increased significantly with abdominal obesity that has constituted important risk factors of CVD.

Relationship of atherogenic index of plasma and mean platelet volume with ejection fraction in ischemic and nonischemic heart failure

AIM

Our aim was to evaluate the relationship and diagnostic value of atherogenic index of plasma (AIP) and mean platelet volume (MPV) for heart failure (HF) and ejection fraction (EF).

MATERIALS AND METHODS

In the present study, AIP and MPV were studied in 114 stable HF patients (48 ischemic [42.1%], 66 nonischemic [57.9%]) and 69 controls.

RESULTS

Mean AIP and MPV were significantly higher in HF compared with controls (p = 0.002; p = 0.03). In multivariate analysis, AIP and MPV were independently associated with EF. In receiver-operating characteristics (ROC) curve analysis both of them had optimal diagnostic value for HF.

CONCLUSION

AIP and MPV regardless of ischemic etiology, were significantly higher in HF compared with controls. Both AIP and MPV are independent predictors of EF and have cut-off values for diagnosis of HF.

The atherogenic index of plasma is a strong and independent predictor for coronary artery disease in the Chinese Han population

Dyslipidemia is one of the most important factors for coronary artery disease (CAD). The atherogenic index of plasma (AIP), a new comprehensive lipid index, might be a strong marker for predicting the risk of CAD.A hospital-based case-control study including 2936 CAD patients and 2451 controls was conducted in a Chinese population. Traditional lipid parameters were detected, and nontraditional lipid comprehensive indexes were calculated.Compared with controls, CAD patients had higher levels of total cholesterol (TC), triglyceride (TG), and low-density lipoprotein cholesterol (LDL-C). By contrast, the level of high-density lipoprotein cholesterol (HDL-C) was lower in CAD patients. The values of nontraditional lipid profiles, including non-HDL-C, TC/HDL-C, LDL-C/HDL-C, non-HDL-C/HDL-C (atherogenic index, AI), TC*TG*LDL/HDL-C (lipoprotein combine index, LCI), and lg (TG/HDL-C) (AIP), were all significantly higher in the cases than in the controls. The results of Pearson correlation analyses indicated that AIP was positively and significantly correlated with TC (r = 0.125, P < .001), TG (r = 0.810, P < .001), LDL-C (r = 0.035, P < .001), non-HDL-C (r = 0.322, P < .001), TC/HDL-C (r = 0.669, P < .001), LDL-C/HDL-C (r = 0.447, P < .001), AI (r = 0.669, P < .001), and LCI (r = 0.688, P < .001) and was negatively correlated with age (r = -0.122, P < .001) and HDL-C (r = -0.632, P < .001). In the univariate logistic regression analysis, AIP was the lipid parameter that was most strongly associated with CAD, with an unadjusted odds ratio of 1.782 (95% confidence interval: 1.490-2.131, P < .001), for an increase of 1-SD. Multivariate logistic regression analyses revealed that AIP was an independent risk factor for CAD.AIP might be a strong and independent predictor for CAD in the Chinese Han population.