Interaction of sex, age, body mass index and race on hypertension risk in the American population: a cross-sectional study

A mediation analysis framework based on variance component to remove genetic confounding effect

Identification of pleiotropy at the single nucleotide polymorphism (SNP) level provides valuable insights into shared genetic signals among phenotypes. One approach to study these signals is through mediation analysis, which dissects the total effect of a SNP on the outcome into a direct effect and an indirect effect through a mediator. However, estimated effects from mediation analysis can be confounded by the genetic correlation between phenotypes, leading to inaccurate results. To address this confounding effect in the context of genetic mediation analysis, we propose a restricted-maximum-likelihood (REML)-based mediation analysis framework called REML-mediation, which can be applied to either individual-level or summary statistics data. Simulations demonstrated that REML-mediation provides unbiased estimates of the true cross-trait causal effect, assuming certain assumptions, albeit with a slightly inflated standard error compared to traditional linear regression. To validate the effectiveness of REML-mediation, we applied it to UK Biobank data and analyzed several mediator-outcome trait pairs along with their corresponding sets of pleiotropic SNPs. REML-mediation successfully identified and corrected for genetic confounding effects in these trait pairs, with correction magnitudes ranging from 7% to 39%. These findings highlight the presence of genetic confounding effects in cross-trait epidemiological studies and underscore the importance of accounting for them in data analysis.

The Burden of Hypertension in HIV-Infected Adults on Retroviral Therapy in Masvingo Province, Zimbabwe: A Retrospective Cohort Study

Background and objective The global HIV epidemic has evolved in the past 30 years with a decline in mortality and morbidity and improved survival since the introduction of antiretroviral therapy (ART). However, this has brought on new challenges through the emergence of non-communicable disease (NCD) as a pandemic at par with, if not more serious than, HIV, and patients well maintained on ART are now faced with the increased risk of developing NCDs such as hypertension, which also require lifelong therapy. This study was designed to determine the burden of hypertension in patients under HIV care in Masvingo province, Zimbabwe. Methods A retrospective cohort study was conducted in six districts of Masvingo province based on the data collected from the electronic Patient Monitoring System (ePMS), along with an analysis of secondary data. Of the 94,821 records gathered, 877 met the inclusion criteria to be included in the study. Data were analyzed using Microsoft Excel and Stata statistical software and statistical analysis was performed using the χ2 test. Results The study revealed a hypertension prevalence of 7.64% among the 877 patients analyzed and the independent risk factors for the development of hypertension were determined to be the age of patients, with a one-year increase in age resulting in an 8% increase in the risk of developing hypertension, and the duration on ART, with a one-year increase on ART duration increasing the risk of hypertension by 27%, and an increase in BMI by a factor of 1 increasing the risk of getting hypertension by 9%. Conclusion Our findings showed that there are patients who have both hypertension and HIV on ART care, and they would need to be managed for both. There is a need for improved data collection of important variables that improve the quality of care of clients. Clinical management of HIV needs to evolve with the evolving needs of patients and NCD care has to be factored in.

Association of body mass index trajectory and hypertension risk: A systematic review of cohort studies and network meta-analysis of 89,094 participants

Introduction

Body mass index (BMI) trajectories, such as non-linear time trends and nonlinear changes in BMI with age, can provide information on the underlying temporal health patterns. The relationship between BMI trajectories and the risk of hypertension remains controversial.

Methods

PubMed, Embase, Cochrane, Scopus, and Web of Science databases were searched from their inception to January 31, 2022. We categorized BMI trajectories as "Stable high," "table normal," "Stable low," "Fluctuated (sharp increase)," and "Fluctuated (elevated-decrease)." The main outcome was the relative risk for the prevalence of hypertension in the different BMI trajectories. Potential sources of heterogeneity were examined using meta-regression and subgroup analysis. A publication bias test and Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach were also used.

Results

The 18 cohort studies included 89,094 participants. Compared with the "Stable normal" trajectory, "Stable high," "Fluctuated (sharp increase)," and "Fluctuated (elevated-decrease)" trajectories were associated with an increased relative risk of hypertension: [RR (95% CI)]: 1.80 (1.29 2.50), p < 0.001; 1.53 (1.27 1.83), p < 0.001; 1.30 (1.24 1.37), p = 0.001, respectively. The "Stable low" trajectory was associated with a reduced risk of hypertension [0.83 (0.79 0.83), p < 0.001]. The "Stable high" trajectory (surface under the cumulative ranking curve = 88.1%) had the highest probability of developing hypertension in the population. The certainty of the evidence for direct comparisons of the incidence of hypertension between various BMI trajectories was generally very low.

Conclusion

Our findings suggested that "Stable high," "Fluctuated (sharp increase)," and "Fluctuated (elevated-decrease)" trajectories were associated with an increased relative risk of hypertension, with the "Stable high" trajectory most likely associated with hypertension.

Systematic review registration

[https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=308575], identifier [CRD42022308575].

Estimated Atherosclerotic Cardiovascular Disease Risk Score: An Automated Decision Aid for Statin Therapy

BACKGROUND

Estimation of atherosclerotic cardiovascular disease (ASCVD) risk is a key step in cardiovascular disease (CVD) prevention, but it requires entering additional risk factor information into a computer. We developed a simplified ASCVD risk score that can be automatically calculated by the clinical laboratory when a fasting standard lipid panel is reported.

METHODS

Equations for an estimated ASCVD (eASCVD) risk score were developed for 4 race/sex groups (non-Hispanic White/Black, men/women), using the following variables: total cholesterol, high-density lipoprotein cholesterol, triglycerides, and age. The eASCVD score was derived using regression analysis to yield similar risk estimates as the standard ASCVD risk equations for non-diabetic individuals not on lipid-lowering therapy in the National Health and Nutrition Examination Survey (NHANES) (n = 6027).

RESULTS

At a cutpoint of 7.5%/10-year, the eASCVD risk score had an overall sensitivity of 69.1% and a specificity of 97.5% for identifying statin-eligible patients with at least intermediate risk based on the standard risk score. By using the sum of other risk factors present (systolic blood pressure >130 mmHg, blood pressure medication use, and cigarette use), the overall sensitivity of the eASCVD score improved to 93.7%, with a specificity of 92.3%. Furthermore, it showed 90% concordance with the standard risk score in predicting cardiovascular events in the Atherosclerosis Risk in Communities (ARIC) study (n = 14 742).

CONCLUSIONS

Because the automated eASCVD risk score can be computed for all patients with a fasting standard lipid panel, it could be used as an adjunctive tool for the primary prevention of ASCVD and as a decision aid for statin therapy.