Methods: A total of 413 individuals (163 men and 250 women) aged 30-60 years were selected by stratified random sampling. The participants had safe alcohol consumption habits (<2 drinks/day) and no symptoms of hepatitis B and C. NAFLD was diagnosed through ultrasound. Blood pressure, anthropometric, and body composition measurements were made and liver function tests were conducted. Biochemical assessments, including the measurement of fasting blood sugar (FBS) and ferritin levels, as well as lipid profile tests were also performed. Metabolic syndrome was evaluated according to the International Diabetes Federation (IDF) criteria.
Results: The overall prevalence of ultrasound-diagnosed NAFLD was 39.3%. The results indicated a significantly higher prevalence of NAFLD in men than in women (42.3% vs 30.4%; P < 0.05). Binary logistic regression analysis was performed to determine the significant variables as NAFLD predictors. Overall, male gender, high body mass index (BMI), high alanine aminotransferase (ALT), high FBS, and high ferritin were identified as the predictors of NAFLD. The only significant predictors of NAFLD among men were high BMI and high FBS. These predictors were high BMI, high FBS, and high ferritin in women (P < 0.05 for all variables).
Conclusions: The metabolic profile can be used for predicting NAFLD among men and women. BMI, FBS, ALT, and ferritin are the efficient predictors of NAFLD and can be used for NAFLD screening before liver biopsy.
Methods: A cross-sectional study was conducted involving 114 Malay patients with POAG seen at the eye clinic of Hospital Universiti Sains Malaysia. Patients aged between 40 and 80 years who were diagnosed with other types of glaucoma, previous glaucoma filtering surgery or other surgeries except uncomplicated cataract surgery and pterygium surgery were excluded. A total of 101 patients who were followed up for dry eyes, age-related cataracts or post cataracts extraction surgery were recruited as control subjects. Those with family history of glaucoma or glaucoma suspect were excluded. Microvascular endothelial function was assessed using laser Doppler fluximetry and the process of iontophoresis. Iontophoresis with acetylcholine (ACh) and sodium nitroprusside (SNP) was used to measure microvascular endothelium-dependent and endothelium-independent vasodilatations, respectively.
Results: In general, POAG patients demonstrated lower ACh% and AChmax values compared with controls. There was significant difference in microvascular endothelial function [ACh%: mean, 95% confidence interval = 503.1 (378.0, 628.3), and AChmax: mean, 95% confidence interval = 36.8 (30.2, 43.5)] between primary open angle glaucoma cases (p blood pressure were inversely correlated with microvascular endothelial function.
Conclusion: There was an impairment of microvascular endothelial function and endothelial-independent vasodilatation in POAG patients. Microvascular endothelial function is a potential risk factor for POAG.
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 review the existing literature to definitively examine sexual dysfunction in women with hypertension, in both treated and untreated subjects.
METHODS: We performed a systematic search for published literature of 3 electronic databases (Scopus, EBSCOhost Medline Complete, and Cochrane Library) in August 2018. The search terms with relevant truncation and Boolean were developed according to a population exposure-comparator-outcome model combining pilot searches. The quality of included studies was assessed with the McMaster Critical Review Form for Quantitative Studies. Initial search, limited to the English language, included a total of 2,198 studies. 31 studies (18,260 subjects) met our inclusion criteria and were included in the review. Sexual dysfunction in these studies was measured using different tools. We extracted information of study setting, country, number of subjects, participants' age and blood pressure, comparators, and outcome. We ran a meta-analysis on the presence of sexual dysfunction as an outcome from the following comparisons: (i) hypertensive vs normotensive (ii) treated vs untreated hypertension, and (iii) exposure vs absence of specific class of anti-hypertensive drug.
MAIN OUTCOME MEASURES: Women with sexual dysfunction and hypertension were included.
RESULTS: We found significant sexual dysfunction in women with hypertension compared with the normotensive group (pooled odds ratio [OR] = 2.789, 95% CI = 1.452-5.357, P = .002). However, there was no statistical difference of sexual dysfunction in women with treated or untreated hypertension (OR = 1.229, 95% CI = 0.675-2.236, P = .5). Treatment with alpha-/beta-blockers, angiotensin-converting enzyme inhibitors, angiotensin receptor blockers, calcium channel blockers, and diuretics resulted in no statistical difference in sexual dysfunction in hypertensive women.
CLINICAL IMPLICATIONS: Because sexual dysfunction is prevalent in women with hypertension, it is imperative to address the underlying medical condition to manage this important clinical problem.
STRENGTH & LIMITATIONS: Many studies had to be excluded from the meta-analysis, due to unavailability and incompleteness of data. Nevertheless, results of the review are useful to derive recommendations for alerting physicians of the need to routinely assess the sexual functioning of women with hypertension.
CONCLUSION: We conclude that women with hypertension are at increased risk for sexual dysfunction, and our findings imply that evaluation for sexual dysfunction needs to be part of the clinical management guidelines for women with hypertension. Choy CL, Sidi H, Koon CS, et al. Systematic Review and Meta-Analysis for Sexual Dysfunction in Women With Hypertension. J Sex Med 2019;16:1029-1048.
AIMS: We assessed outcomes of a pilot long-term stroke care clinic which combined secondary prevention and rehabilitation at community level.
SETTINGS AND DESIGN: A prospective observational study of stroke patients treated between 2008 and 2010 at a primary care teaching facility.
SUBJECTS AND METHODS: Analysis of patients was done at initial contact and at 1-year post treatment. Clinical outcomes included stroke risk factor(s) control, depression according to Patient Health Questionnaire (PHQ9), and level of independence using Barthel Index (BI).
STATISTICAL ANALYSIS USED: Differences in means between baseline and post treatment were compared using paired t-tests or Wilcoxon-signed rank test. Significance level was set at 0.05.
RESULTS: Ninety-one patients were analyzed. Their mean age was 62.9 [standard deviation (SD) 10.9] years, mean stroke episodes were 1.30 (SD 0.5). The median interval between acute stroke and first contact with the clinic 4.0 (interquartile range 9.0) months. Mean systolic blood pressure decreased by 9.7 mmHg (t = 2.79, P = 0.007), while mean diastolic blood pressure remained unchanged at 80mmHg (z = 1.87, P = 0.06). Neurorehabilitation treatment was given to 84.6% of the patients. Median BI increased from 81 (range: 2-100) to 90.5 (range: 27-100) (Z = 2.34, P = 0.01). Median PHQ9 scores decreased from 4.0 (range: 0-22) to 3.0 (range: 0-19) though the change was not significant (Z= -0.744, P = 0.457).
CONCLUSIONS: Primary care-driven long-term stroke care services yield favorable outcomes for blood pressure control and functional level.
METHODS: We used data spanning 2010-2018 from children aged 2-12 years within the Chicago Area Patient-Centered Outcomes Research Network-an electronic health record network. Four clinical systems comprised the derivation sample and a fifth the validation sample. Body mass index, blood pressure, cholesterol, and blood glucose were categorized as ideal, intermediate, and poor using clinical measurements, laboratory readings, and International Classification of Diseases diagnosis codes and summed for an overall CVH score. Group-based trajectory modeling was used to create CVH score trajectories which were assessed for classification accuracy in the validation sample.
RESULTS: Using data from 122,363 children (47% female, 47% non-Hispanic White) three trajectories were identified: 59.5% maintained high levels of clinical CVH, 23.4% had high levels of CVH that declined, and 17.1% had intermediate levels of CVH that further declined with age. A similar classification emerged when the trajectories were fitted in the validation sample.
CONCLUSIONS: Stratification of CVH was present by age 2, implicating the need for early life and preconception prevention strategies.
METHODS: Data were used from children and adolescents aged 8-19 years in six pooled childhood cohorts (19,261 participants, collected between 1972 and 2010) to create reference standards for fasting glucose and total cholesterol. Using the models for glucose and cholesterol as well as previously published reference standards for body mass index and blood pressure, clinical cardiovascular health charts were developed. All models were estimated using sex-specific random-effects linear regression, and modeling was performed during 2020-2022.
RESULTS: Models were created to generate charts with smoothed means, percentiles, and standard deviations of clinical cardiovascular health for each year of childhood. For example, a 10-year-old girl with a body mass index of 16 kg/m2 (30th percentile), blood pressure of 100/60 mm Hg (46th/50th), glucose of 80 mg/dL (31st), and total cholesterol of 160 mg/dL (46th) (lower implies better) would have a clinical cardiovascular health percentile of 62 (higher implies better).
CONCLUSIONS: Clinical cardiovascular health charts based on pediatric data offer a standardized approach to express clinical cardiovascular health as an age- and sex-standardized percentile for clinicians to assess cardiovascular health in childhood to consider preventive approaches at early ages and proactively optimize lifetime trajectories of cardiovascular health.
STUDY DESIGN: In this retrospective cohort study, we included children aged 5-20 years who received regular outpatient care at a large academic medical center between January 1996 and April 2016. BMI was expressed as age- and sex-specific percentiles and BP as age-, sex-, and height-specific percentiles. Linear mixed models incorporating linear spline functions with 2 breakpoints at 9 and 12 years of age were used to estimate the changes in BMI and BP percentiles over time during age periods: <9, 9-<12, and >12 years of age.
RESULTS: Among 5703 children (24.8% black, 10.1% Hispanic), Hispanic females had an increased rate of change in BMI percentile per year relative to white females during ages 5-9 years (+2.94%; 95% CI, 0.24-5.64; P = .033). Black and Hispanic males also had an increased rate of change in BMI percentile per year relative to white males that occurred from ages 5-9 (+2.35% [95% CI, 0.76-3.94; P = .004]; +2.63% [95% CI, 0.31-4.95; P = .026], respectively). There were no significant racial differences in the rate of change of BP percentiles, although black females had higher hypertension rates compared with white females (10.0% vs 5.7%; P
Methods: A quasi-experimental study with 328 obese and overweight low socio- economic status housewives aged 18-59 years old who met the screening criteria participated in the study. They were recruited into an intervention group (N = 169) or control group (N = 159). The intervention group received a lifestyle intervention consisting of a diet, physical activity and self-monitoring behavior package. The control group (delayed intervention group) received a women's health seminar package. Both groups were followed up for six months. Weight, body mass index (BMI), and blood pressure were evaluated both pre- and post-intervention.
Results: A total of 124 participants from the intervention group and 93 participants from the control group completed the study. Mean weight loss was 1.13 ± 2.70 kg (P < 0.05) in the intervention group and 0.97 ± 2.60 kg (P < 0.05) in the control group. Systolic blood pressure (SBP) reductions in the intervention group were 5.84 ± 18.10 mmHg (P < 0.05). The control group showed reduction in SBP 6.04 ± 14.52 mmHg (P < 0.05). Both group had non-significant DBP reduction. Multivariate analysis via General Linear Model Repeated Measures observed no significant differences in terms of parameter changes with time in both groups for all parameters.
Conclusions: The results indicate that the lifestyle interventions in this study resulted in modest weight loss and thus decreased BMI and blood pressure (SBP) within six months of intervention.