METHODS AND RESULTS: We conducted a retrospective study to establish a diverse mouse cohort resembling large human studies. We sequenced the V4 region of the 16S rRNA gene from 538 samples across the gastrointestinal tract of 303 male and female C57BL/6J mice randomized into sham or angiotensin II treatment from different genotypes, diets, animal facilities, and age groups. Analysing over 17 million sequencing reads, we observed that angiotensin II treatment influenced α-diversity (P = 0.0137) and β-diversity (i.e. composition of the microbiome, P < 0.001). Bacterial abundance analysis revealed patterns consistent with a reduction in short-chain fatty acid producers, microbial metabolites that lower blood pressure. Furthermore, animal facility, genotype, diet, age, sex, intestinal sampling site, and sequencing batch had significant effects on both α- and β-diversity (all P < 0.001). Sampling site (6.8%) and diet (6%) had the largest impact on the microbiome, while angiotensin II and sex had the smallest effect (each 0.4%).
CONCLUSION: Our large-scale data confirmed findings from small-scale studies that angiotensin II impacted the gut microbiome. However, this effect was modest relative to most of the other factors studied. Accounting for these factors in future pre-clinical hypertensive studies will increase the likelihood that microbiome findings are replicable and translatable.
METHODS: MyBFF@home intervention was a quasi-experimental study which involved 328 overweight and obese housewives aged 18-59 years old (Control group: 159, Intervention group: 169). Data of the control and intervention group (pre and post intervention who completed the body composition and blood pressure measurements were analysed. Body compositions were measured using the Body Impedance Analyser (InBody 720) and blood pressure (Systolic and Diastolic) was taken using the blood pressure monitoring device (Omron HEM 907) at baseline, 6 month and 12 month. Data analyses (Pearson's correlation test and ANOVA) were performed and analysed using SPSS Statistics for Windows, version 22.0.
RESULTS: Visceral fat area, fat mass and body fat percentage, were all significantly decreased in the intervention group compared to the control group after 6 month intervention (p
MATERIALS AND METHODS: This study involved 396 subjects (198 NDHT, age and gender matched 198 normotensives; age, 30 to 50 years). Parameters of LVDF included Doppler-echocardiographic measurements of peak early (E) and late (A) diastolic velocities, E-wave deceleration time (DT) and isovolumetric relaxation time (IVRT). E/A ratio of <1 was taken as an indicative of DD.
RESULTS: Patients with NDHT had reduced E/A ratio (1.27 +/- 0.41 vs 1.37 +/- 0.35, P <0.001) and shortened DT (180.0 +/- 40.0 ms vs 190.0 +/- 30.0 ms, P = 0.025). The peak A velocity and IVRT were increased in the NDHT group [(62.73 +/- 13.82 ms vs 58.26 +/- 12.40 ms, P = 0.002) and (90.0 +/- 20.0 ms vs 80.0 +/- 10.0 ms, P <0.001), respectively]. Peak E velocity was similar in both groups. The prevalence of DD was increased in the NDHT group, 18.6% (32) vs 3.4% (6), P <0.001. Of the 32 NDHT subjects who had DD, 84.4% (27) had no left ventricular hypertrophy (LVH) and 15.7% (5) had LVH. Diastolic function was negatively correlated with age, body mass index, systolic blood pressure, diastolic blood pressure and left ventricular mass index.
CONCLUSION: Impairment in LVDF occurs in NDHT which may precede structural abnormalities. Hypertension, obesity, older age and LVH are associated with worsening of diastolic function.
Materials and Methods: A total of 149 and 150 patients were randomized to intervention and usual care (control) groups, respectively. A 12-month task-shifting (nurse-driven) HBFC intervention was administered to intervention group. The mid-term impact of intervention on HRQoL was assessed after 6 months intervention. Data were analyzed with intention-to-treat principle. Treatment effects were measured with the t-tests, analysis of covariance, and multivariate analysis of covariance analysis. Significant levels were set at P < 0.05 and 95% confidence interval.
Results: The between-group treatment effect was not statistically significant (P > 0.05), whereas the within-group treatment effects were statistically significant for both the intervention and control arms (P < 0.05) at 6 months. After controlling for age and baseline HRQoL, the intervention group had an improved physical component of HRQoL than the control group. The intervention group also had statistically significant improvement in blood pressure control, medication adherence, and symptom counts (P < 0.05).
Conclusion: The HBFC intervention for hypertensive patients impacted positively on physical component of HRQoL after controlling for baseline HRQoL and age of the patients at 6 months post-intervention.
AIM: To determine the prevalence of HT and its risk factors in the elderly in that area.
METHODS: A cross-sectional study was conducted in a study area in the northern of Vietnam. We interviewed 354 adults aged 60 years or over who were randomly selected, and then measured their blood pressure.
RESULTS: The overall HT prevalence was 62.15%. The isolated systolic hypertension (ISH) prevalence was 22.88%. There was a slight decrease in the proportion of HT by stage 1, stage 2 and stage 3 respectively. The univariate and multivariate logistic regression analysis indicated some risk factors for HT including age groups, body mass index (BMI) and waist-hip ratio (WHR) (p