Prevalence of Pediatric Masked Hypertension and Risk of Subclinical Cardiovascular Outcomes: A Systematic Review and Meta-Analysis

Masked hypertension (MH) occurs when office blood pressure is normal, but hypertension is confirmed using out-of-office blood pressure measures. Hypertension is a risk factor for subclinical cardiovascular outcomes, including left ventricular hypertrophy, increased left ventricular mass index, carotid intima media thickness, and pulse wave velocity. However, the risk factors for ambulatory blood pressure monitoring defined MH and its association with subclinical cardiovascular outcomes are unclear. A systematic literature search on 9 databases included English publications from 1974 to 2023. Pediatric MH prevalence was stratified by disease comorbidities and compared with the general pediatric population. We also compared the prevalence of left ventricular hypertrophy, and mean differences in left ventricular mass index, carotid intima media thickness, and pulse wave velocity between MH versus normotensive pediatric patients. Of 2199 screened studies, 136 studies (n=28 612; ages 4-25 years) were included. The prevalence of MH in the general pediatric population was 10.4% (95% CI, 8.00-12.80). Compared with the general pediatric population, the risk ratio (RR) of MH was significantly greater in children with coarctation of the aorta (RR, 1.91), solid-organ or stem-cell transplant (RR, 2.34), chronic kidney disease (RR, 2.44), and sickle cell disease (RR, 1.33). MH patients had increased risk of subclinical cardiovascular outcomes compared with normotensive patients, including higher left ventricular mass index (mean difference, 3.86 g/m2.7 [95% CI, 2.51-5.22]), left ventricular hypertrophy (odds ratio, 2.44 [95% CI, 1.50-3.96]), and higher pulse wave velocity (mean difference, 0.30 m/s [95% CI, 0.14-0.45]). The prevalence of MH is significantly elevated among children with various comorbidities. Children with MH have evidence of subclinical cardiovascular outcomes, which increases their risk of long-term cardiovascular disease.

Numerical integration of bivariate fractal interpolation functions on rectangular domains

This paper primarily focuses on the derivation of fractal numerical integration for the data sets corresponding to two variable signals defined over a rectangular region. Evaluating numerical integration results through the fractal method helps achieve accurate results with minimum computation effort. The formulation of the fractal numerical integration is achieved by considering the recursive relation satisfied by the bivariate fractal interpolation functions for the given data set. The points in the data set have been used to evaluate the coefficients of the iterated function systems. The derivation of these coefficients considering the index of the subrectangles, and the integration formula has been proposed using these coefficients. The bivariate fractal interpolation functions constructed using these coefficients are then correlated with the bilinear interpolation functions. Also, this paper derives a formula for the freely chosen vertical scaling factor that has been used in reducing the approximation error. The obtained formula of the vertical scaling factor is then used in establishing the convergence of the proposed method of integration to the traditional double integration technique through a collection of lemmas and theorems. Finally, the paper concludes with an illustration of the proposed method of integration and the analysis of the numerical integral results obtained for the data sets corresponding to four benchmark functions.

Comparing racial health disparities in pandemics a decade apart: H1N1 and COVID-19

Background and aims

The Centers for Disease Control and Prevention has reported disproportionate health disparities with respect to disease for Blacks/African Americans (AAs) compared to Whites in the USA. In this paper, we identify and compare the factors involved in creating these disparities among these populations during the 2009 H1N1 and current COVID-19 pandemics.

Methods

We included studies describing health disparities towards Blacks/AAs in the USA during the H1N1 and COVID-19 pandemics. Only observational empirical studies with free full-text availability in English from PubMed, PubMed Central and Google Scholar were included.

Results

A total of 31 papers were included: 19 pertaining to the H1N1 pandemic and 12 to the COVID-19 pandemic. Qualitative analysis for health disparities resulted in 43 different factors, which were subdivided into nine overarching themes.

Discussion

The similarities that exist between the two pandemics indicate that there are many neglected issues in American healthcare that need to be addressed. The listed factors have led to disparities in screening and treating for disease resulting in disparities in infection rates, severity of illness and mortality. This calls for a change in healthcare dynamics to improve access to healthcare, remove any form of possible discrimination, and regain the lost trust with the Black/AA communities, repairing historical damage.

Conclusions

Effective utilisation of social media and faith-based centres to educate patients, implementation of new policies improving access to healthcare, and culture-sensitive education for healthcare providers are suggested to decrease health disparities and improve health outcomes across the USA.

Comparing racial health disparities in pandemics a decade apart: H1N1 and COVID-19

Background and aims

The Centers for Disease Control and Prevention has reported disproportionate health disparities with respect to disease for Blacks/African Americans (AAs) compared to Whites in the USA. In this paper, we identify and compare the factors involved in creating these disparities among these populations during the 2009 H1N1 and current COVID-19 pandemics.

Methods

We included studies describing health disparities towards Blacks/AAs in the USA during the H1N1 and COVID-19 pandemics. Only observational empirical studies with free full-text availability in English from PubMed, PubMed Central and Google Scholar were included.

Results

A total of 31 papers were included: 19 pertaining to the H1N1 pandemic and 12 to the COVID-19 pandemic. Qualitative analysis for health disparities resulted in 43 different factors, which were subdivided into nine overarching themes.

Discussion

The similarities that exist between the two pandemics indicate that there are many neglected issues in American healthcare that need to be addressed. The listed factors have led to disparities in screening and treating for disease resulting in disparities in infection rates, severity of illness and mortality. This calls for a change in healthcare dynamics to improve access to healthcare, remove any form of possible discrimination, and regain the lost trust with the Black/AA communities, repairing historical damage.

Conclusions

Effective utilisation of social media and faith-based centres to educate patients, implementation of new policies improving access to healthcare, and culture-sensitive education for healthcare providers are suggested to decrease health disparities and improve health outcomes across the USA.