The present study aimed to evaluate the relationship between the hypertriglyceridemic waist (HTGW) phenotype and hypertension. We undertook a cross-sectional study with a sample of 9015 adults from China. The HTGW phenotype was defined as elevated waist circumference (WC) and elevated triglyceride (TG) concentration.Logistic regression analysis was used to evaluate the association between the HTGW phenotype and hypertension. The prevalence of hypertension was significantly higher in individuals with the HTGW phenotype, than in those with the normal waist normal triglyceride (NWNT) phenotype (89.9% vs 75.3%, respectively, P < .001). After adjusting for age, sex, BMI, current smoker, and current alcohol consumption, the HTGW phenotype was associated with hypertension (Odds Ratio (OR)1.53; 95% CI 1.25-1.87).After further adjustment for potential confounders, the HTGW phenotype was still significantly associated with hypertension (adjusted OR1.28; 95% CI 1.04-1.58) regardless of sex. The subgroup analyses generally revealed similar associations across all subgroups. This study indicated that the HTGW phenotype was strongly associated with hypertension, and blood pressure should be clinically monitored in individuals with the HTGW phenotype. We suggested a combined use of hypertriglyceridemia waist phenotype in identifying participants who are at high risk of hypertension.

Aim Previous studies have implicated the uric acid to high-density lipoprotein cholesterol (HDL-C) ratio (UHR) was associated with type 2 diabetes. However, the association between UHR and diabetes-related vascular damages is still unclear. Methods The total of 4551 patients with type 2 diabetes from the cross-sectional Environmental Pollutant Exposure and Metabolic Diseases in Shanghai study (METAL study) were enrolled. UHR was calculated as uric acid to HDL-C ratio. Cardiovascular disease (CVD) was defined as previously diagnosed with stroke, coronary heart disease, or peripheral arterial disease. Chronic kidney disease (CKD) was defined as estimated glomerular filtration rate ≤60 mL/min/1.73 m 2 and/or urinary albumin to creatinine ratio ≥30 mg/g. Fundus image was examined by trained individuals and degree of diabetic retinopathy (DR) was evaluated. Results UHR was positively correlated with CVD (OR = 1.28, 95% CI: 1.02–1.61) and CKD (OR = 1.78, 95% CI: 1.39–2.27) after adjusting for all confounders. No association was found between UHR and DR. In stratified analyses, UHR was predominantly correlated with CVD in diabetic patients with age older than 65 (OR = 1.41, 95% CI: 1.08–1.85), female (OR = 1.43, 95% CI: 1.06–1.94) and BMI≥24kg/m 2 (OR = 1.57, 95% CI: 1.17–2.11). A 1-SD increment of UHR was also positively associated with CVD (OR 1.26, 95% CI 1.03, 1.15) and CKD (OR 1.28, 95% CI 1.20,1.39). UHR was positively associated with CKD in all subgroups analysis. No significant interaction effect was observed between UHR and all subgroup variables in CVD and CKD risk. Conclusion Our study reported a positive association between the UHR and diabetic-related vascular complications in men and postmenopausal women. The relationship between the UHR and DR seems to be uncertain and requires further investigation. And no significant interaction effect was observed between the UHR and all subgroup variables in CVD and CKD risk.

In this study, a computational fluid dynamics (CFD) study based on a finite element method (FEM) was performed for the human aorta with four different flow time patterns (healthy to full intra-aorta pump support). Fully coupled fluid-solid interaction (FSI) simulation was used to investigate the flow profiles in the aortic arch and its branches where the maximum disturbed and non-uniform flow patterns, and the wall shear stress profiles on the same areas. The blood flow was assumed as a homogeneous, incompressible, and Newtonian fluid flow. Flow across four inlets of aortas was derived from a lumped parameter model (LPM). The inlet flow rate waveforms were divided by different blood assist index (BAI), and were calculated with the physiological information of a heart failure patient.

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