Outcomes of Transcatheter Aortic Valve Replacement Using Third-Generation Balloon-Expandable Versus Self-Expanding Valves: A Meta-analysis.

Background: The choice of transcatheter aortic valve replacement (TAVR) prosthesis is crucial in optimizing short- and long-term outcomes. The objective of this study was to conduct a meta-analysis comparing outcomes of third-generation balloon-expandable valves (BEV) vs self-expanding valves (SEV). Methods: Electronic databases were searched from inception to June 2023 for studies comparing third-generation BEV vs SEV. Primary outcome was all-cause mortality. Secondary outcomes included clinical and hemodynamic end points. Random-effects models were used to calculate pooled odds ratios (ORs) or weighted mean differences (WMDs). Results: The meta-analysis included 16 studies and 10,174 patients (BEV, 5753 and SEV, 4421). There were no significant differences in 1-year all-cause mortality (OR, 1.15; 95% CI, 0.89-1.48) between third-generation BEV vs SEV. TAVR with third generation BEV was associated with a significantly lower risk of TIA/stroke (OR, 0.62; 95% CI, 0.44-0.87), permanent pacemaker implantation (OR, 0.55; 95% CI, 0.44-0.70), and ≥moderate paravalvular leak (PVL, OR, 0.43; 95% CI, 0.25-0.75), and higher risk of ≥moderate patient-prosthesis mismatch (OR, 3.76; 95% CI, 2.33-6.05), higher mean gradient (WMD, 4.35; 95% CI, 3.63-5.08), and smaller effective orifice area (WMD, -0.30; 95% CI, -0.37 to -0.23), compared with SEV. Conclusion: In this meta-analysis, TAVR with third-generation BEV vs SEV was associated with similar all-cause mortality, lower risk of TIA/stroke, permanent pacemaker implantation, and ≥moderate PVL, but higher risk of ≥moderate patient-prosthesis mismatch, higher mean gradient, and smaller effective orifice area. Large, adequately powered randomized trials are needed to evaluate long-term outcomes of TAVR with latest generations of BEV vs SEV.

Nutrition, lifestyle, and cognitive performance in esport athletes.

Introduction: Electronic sports, termed esports, is a growing athletic activity in which high levels of attention and cognitive performance are required. With its increasing popularity and competitiveness, interest in strategies to improve performance have emerged. Improving esports athlete performance, namely cognitive endurance, and resilience, may lie in nutritional or lifestyle factors. The Nutrition, Vision, and Cognition in Sport Studies (IONSport) investigated nutritional and behavioral factors that can influence cognition via 3-dimensional multiple objects tracking test (3DMOT) via Neurotracker X (NTx) software. The purpose of this study was to characterize the lifestyle of high level esports athletes with detailed nutrition, sleep, and physical activity assessments, and their association to gaming related cognitive performance. Methods: 103 male and 16 elite female esports athletes aged 16 to 35 years old completed surveys, food records, and cognitive testing sessions over 10 days. Participants were instructed to maintain their normal dietary and lifestyle habits. Results: There were positive significant associations between average NTx scores and the following nutrients: magnesium, phosphorous, potassium, sodium, zinc, selenium, thiamin, niacin, vitamins B6 and B12, folate, cholesterol, saturated, polyunsaturated, and monounsaturated fats, omega-6 and omega-3 fatty acids, and choline. Majority of participants did not meet recommended dietary allowances (RDAs) for these micronutrients nor the recommended intakes for dairy, fruit, and vegetables. There was a significant (p = 0.003) positive (r = 0.272) association between total vegetable intake and average NTx score. There was a significant negative association (p = 0.015) with our final sustain session, which measured cognitive resilience, and the Stanford Sleepiness Scale score. Repeated measures analysis was done with these groups over the 18 core NTx sessions. There were significant (p = 0.018) differences between the two groups with those who consumed the recommended amount of protein or more performing significantly better on NTx over the 18 sessions than those that did not consume enough protein. Those who consumed the recommended intakes for riboflavin, phosphorous, vitamin B12, and selenium performed significantly better over the 18 core NTx sessions than those that did not meet the recommended amounts. Discussion: The need for a nutrition intervention that is rich in protein, vitamins, and minerals is warranted in this population.

Quantitative Morphometry and Machine Learning Model to Explore Duodenal and Rectal Mucosal Tissue of Children with Environmental Enteric Dysfunction.

Environmental enteric dysfunction (EED) is a subclinical enteropathy prevalent in resource-limited settings, hypothesized to be a consequence of chronic exposure to environmental enteropathogens, resulting in malnutrition, growth failure, neurocognitive delays, and oral vaccine failure. This study explored the duodenal and colonic tissues of children with EED, celiac disease, and other enteropathies using quantitative mucosal morphometry, histopathologic scoring indices, and machine learning-based image analysis from archival and prospective cohorts of children from Pakistan and the United States. We observed villus blunting as being more prominent in celiac disease than in EED, as shorter lengths of villi were observed in patients with celiac disease from Pakistan than in those from the United States, with median (interquartile range) lengths of 81 (73, 127) µm and 209 (188, 266) µm, respectively. Additionally, per the Marsh scoring method, celiac disease histologic severity was increased in the cohorts from Pakistan. Goblet cell depletion and increased intraepithelial lymphocytes were features of EED and celiac disease. Interestingly, the rectal tissue from cases with EED showed increased mononuclear inflammatory cells and intraepithelial lymphocytes in the crypts compared with controls. Increased neutrophils in the rectal crypt epithelium were also significantly associated with increased EED histologic severity scores in duodenal tissue. We observed an overlap between diseased and healthy duodenal tissue upon leveraging machine learning image analysis. We conclude that EED comprises a spectrum of inflammation in the duodenum, as previously described, and the rectal mucosa, warranting the examination of both anatomic regions in our efforts to understand and manage EED.

COVID-19 age-dependent immunology and clinical outcomes: implications for vaccines.

Coronavirus disease 2019 (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) leading to acute respiratory distress syndrome (ARDS). Understanding the evolution of the virus, and immune-pathogenic processes are critical for designing future therapeutic interventions. In this review, we collate information on the structure, genome, viral life cycle, and adult and pediatric host immune responses in response to SARS-CoV-2. The immunological responses are a prototype of the developmental origins of health and disease (DOHaD) hypothesis to explain the socio-geographic differences impacting the severity and mortality rates in SARS-CoV-2 infections. The DOHaD hypothesis identifies the relevance of trained innate immunity, age groups, and geography for effective vaccinations. As COVID-19 vaccines are being rolled out, it may be pertinent to assess population-based immunological responses to understand the effectiveness and safety across different populations and age groups.

Distance from Healthcare Facilities Is Associated with Increased Morbidity of Acute Infection in Pediatric Patients in Matiari, Pakistan.

The relationship between environmental factors and child health is not well understood in rural Pakistan. This study characterized the environmental factors related to the morbidity of acute respiratory infections (ARIs), diarrhea, and growth using geographical information systems (GIS) technology. Anthropometric, address and disease prevalence data were collected through the SEEM (Study of Environmental Enteropathy and Malnutrition) study in Matiari, Pakistan. Publicly available map data were used to compile coordinates of healthcare facilities. A Pearson correlation coefficient (r) was used to calculate the correlation between distance from healthcare facilities and participant growth and morbidity. Other continuous variables influencing these outcomes were analyzed using a random forest regression model. In this study of 416 children, we found that participants living closer to secondary hospitals had a lower prevalence of ARI (r = 0.154, p < 0.010) and diarrhea (r = 0.228, p < 0.001) as well as participants living closer to Maternal Health Centers (MHCs): ARI (r = 0.185, p < 0.002) and diarrhea (r = 0.223, p < 0.001) compared to those living near primary facilities. Our random forest model showed that distance has high variable importance in the context of disease prevalence. Our results indicated that participants closer to more basic healthcare facilities reported a higher prevalence of both diarrhea and ARI than those near more urban facilities, highlighting potential public policy gaps in ameliorating rural health.

Variances in BCG protection against COVID-19 mortality: A global assessment.

The BCG vaccine is known to impart nonspecific immunological benefits alongside conferring protection to tuberculosis in endemic regions. It is also known to protect against bladder cancer and other respiratory tract infections. During the coronavirus disease 2019 (COVID-19) pandemic, the BCG vaccine has gained attention due to its role in conferring protective immunity. We demonstrate the potential immunological protective mechanisms that play a role against COVID-19. We conduct a global assessment of the countries that have the highest and lowest mortality rates determined by an a priori methodology. Lastly, we discuss the potential limitations of incorporating BCG vaccines as potential strategies against COVID-19 and provide recommendations regarding their use in ongoing and future epidemics.

Global variation of COVID-19 mortality rates in the initial phase.

OBJECTIVE: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused devastation in over 200 countries. Italy, Spain, and the United States (US) were most severely affected by the first wave of the pandemic. The reasons why some countries were more strongly affected than others remain unknown. We identified the most-affected and less-affected countries and states and explored environmental, host, and infrastructure risk factors that may explain differences in the SARS-CoV-2 mortality burden. METHODS: We identified the top 10 countries/US states with the highest deaths per population until May 2020. For each of these 10 case countries/states, we identified 6 control countries/states with a similar population size and at least 3 times fewer deaths per population. We extracted data for 30 risk factors from publicly available, trusted sources. We compared case and control countries/states using the non-parametric Wilcoxon rank-sum test, and conducted a secondary cluster analysis to explore the relationship between the number of cases per population and the number of deaths per population using a scalable EM (expectation-maximization) clustering algorithm. RESULTS: Statistically significant differences were found in 16 of 30 investigated risk factors, the most important of which were temperature, neonatal and under-5 mortality rates, the percentage of under-5 deaths due to acute respiratory infections (ARIs) and diarrhea, and tuberculosis incidence (p < 0.05). CONCLUSION: Countries with a higher burden of baseline pediatric mortality rates, higher pediatric mortality from preventable diseases like diarrhea and ARI, and higher tuberculosis incidence had lower rates of coronavirus disease 2019-associated mortality, supporting the hygiene hypothesis.