A systematic analysis and review of soil organic carbon stocks in urban greenspaces.

Urban greenspaces typically refer to urban wetland, urban forest and urban turfgrass. They play a critical role in carbon sequestration by absorbing carbon from the atmosphere; however, their capacity to retain and store carbon in the form of soil organic carbon (SOC) varies significantly. This study provides a systematic analysis and review on the capacity of different urban greenspace types in retaining and storing SOC in 30 cm soil depth on a global scale. Data came from 78 publications on the subject of SOC stocks, covering different countries and climate zones. Overall, urban greenspace types exerted significant influences on the spatial pattern of SOC stocks, with the highest value of 18.86 ± 11.57 kg m-2 (mean ± standard deviation) in urban wetland, followed by urban forest (6.50 ± 3.65 kg m-2), while the lowest mean value of 4.24 ± 3.28 kg m-2 was recorded in urban turfgrass soil. Soil organic carbon stocks in each urban greenspace type were significantly affected by climate zones, management/environmental settings, and selected soil properties (i.e. soil bulk density, pH and clay content). Furthermore, our analysis showed a significantly negative correlation between SOC stocks and human footprint in urban wetland, but a significantly positive relationship in urban forest and urban turfgrass. A positive correlation between SOC stocks and human footprint indicates that increased human activity and development can enhance SOC stocks through effective management and green infrastructure. Conversely, a negative correlation suggests that improper management of human activities can degrade SOC stocks. This highlights the need for sustainable practices to maintain or enhance SOC accumulation in urban greenspaces.

Enhancing the Physical, Antimicrobial, and Osteo/Odontogenic Properties of a Sol-Gel-Derived Tricalcium Silicate by Graphene Oxide for Vital Pulp Therapies.

OBJECTIVES: This study developed a sol-gel tricalcium silicate/graphene oxide (TCS-GO) composite and examined its physicochemical properties, antimicrobial activity, and osteo/odontogenic effect on dental pulp stem cells. METHODS: Tricalcium silicate was synthesized and combined with graphene oxide at three different concentrations, namely 0.02%, 0.04%, and 0.08% w/w, while tricalcium silicate and mineral trioxide aggregate served as controls. The setting time, compressive strength, pH, and calcium ion release of the composites were evaluated, as well as antimicrobial properties against Streptococcus mutans and Lactobacillus acidophilus. Additionally, the viability of dental pulp stem cells; apatite forming ability; and the gene expression of Alkaline phosphatase, Dentin sialophosphoprotein, and Runt-related transcription factor 2 were assessed. RESULTS: TCS-GO (0.08%) showed a significantly shorter setting time and higher compressive strength when compared to MTA (p < 0.05). Additionally, tricalcium silicate and TCS-GO groups showed a higher release of Ca ions than MTA, with no significant difference in pH values among the different groups. TCS-GO (0.08%) also demonstrated a significantly stronger antimicrobial effect against Lactobacillus acidophilus compared to MTA (p < 0.05). ALP expression was higher in TCS-GO (0.08%) than MTA on days 3 and 7, while DSPP expression was higher in TCS-GO (0.08%) than MTA on day 3 but reversed on day 7. There was no significant difference in RUNX2 expression between TCS-GO (0.08%) and MTA on days 3 and 7. CONCLUSIONS: The TCS-GO (0.08%) composite demonstrated superior physicochemical characteristics and antimicrobial properties compared to MTA. Moreover, the early upregulation of ALP and DSPP markers in TCS-GO (0.08%) indicates that it has the potential to promote and enhance the osteo/odontogenic differentiation of DPSCs.

Community-Based Intervention and Its Effect on Decreasing the Prevalence of Urinary Schistosomiasis in an Al-Alaqa Male Primary school in Al-Alaqa Village White Nile State, Sudan.

Aim of study: This study assessed the effectiveness of community-based interventions, health awareness, and treatment in controlling schistosomiasis among schoolchildren to improve policies and strategies. Methods: This pre- and post-intervention study was conducted in an Al-Alaqa male primary school, and systematic simple random sampling was used to investigate 237 participants, which resulted in 132 (55.7%) infected students. The infected and noninfected students (580 students) were treated by delivering the praziquantel doses immediately after the results; after 4 weeks, the infected students received the second dose. After 6 months, the rates were investigated again, and all procedures were performed after the height and weight of the students were recorded according to the protocol. Health education was provided for all participants using posters and leaflets. The data were collected via a questionnaire and urine test. The data were analyzed using SPSS (Statistical Package for the Social Sciences), and ANOVA and t-tests were used to determine the significant differences between the variables. Results: A urine investigation was conducted on 237 students; 132 (55.7%) had positive results which showed marked improvement and the prevalence in the school decreased to 3.8% after the intervention. The researcher found strong evidence of a relationship between the prevalence of schistosomiasis before the intervention and availability of water in the home (chi-square = 18.331, df = 1, p value = 000). ANOVA showed strong statistical significance (0.002 and F = 6.564) between the mean score of student age and reasons behind going to the pond. Conclusion: This study concluded that mass chemotherapy and treatment were highly effective when associated with a health program intervention. Mass chemotherapy alone may reduce the prevalence of disease for a short time. Recommendation: Community-based interventions should be applied in schools with an emphasis on health education programs through the training of schoolteachers on investigations for schistosomiasis, treatment with praziquantel, and the provision of materials (microscopes, reagents, and drugs).

Machine learning prediction of methane, nitrogen, and natural gas mixture viscosities under normal and harsh conditions.

The accurate estimation of gas viscosity remains a pivotal concern for petroleum engineers, exerting substantial influence on the modeling efficacy of natural gas operations. Due to their time-consuming and costly nature, experimental measurements of gas viscosity are challenging. Data-based machine learning (ML) techniques afford a resourceful and less exhausting substitution, aiding research and industry at gas modeling that is incredible to reach in the laboratory. Statistical approaches were used to analyze the experimental data before applying machine learning. Seven machine learning techniques specifically Linear Regression, random forest (RF), decision trees, gradient boosting, K-nearest neighbors, Nu support vector regression (NuSVR), and artificial neural network (ANN) were applied for the prediction of methane (CH4), nitrogen (N2), and natural gas mixture viscosities. More than 4304 datasets from real experimental data utilizing pressure, temperature, and gas density were employed for developing ML models. Furthermore, three novel correlations have developed for the viscosity of CH4, N2, and composite gas using ANN. Results revealed that models and anticipated correlations predicted methane, nitrogen, and natural gas mixture viscosities with high precision. Results designated that the ANN, RF, and gradient Boosting models have performed better with a coefficient of determination (R2) of 0.99 for testing data sets of methane, nitrogen, and natural gas mixture viscosities. However, linear regression and NuSVR have performed poorly with a coefficient of determination (R2) of 0.07 and - 0.01 respectively for testing data sets of nitrogen viscosity. Such machine learning models offer the industry and research a cost-effective and fast tool for accurately approximating the viscosities of methane, nitrogen, and gas mixture under normal and harsh conditions.

The effect of arginine on the growth of probiotics.

OBJECTIVE(S): The study objective was to examine the effect of arginine (Arg) supplementation on the growth of probiotics. METHODS: Lacticaseibacillus rhamnosus GG, Lactiplantibacillus plantarum, and Lactobacillus acidophilus were identified as potential probiotics. L. rhamnosus GG and L. plantarum were selected for further experimentation. The probiotics were co-treated with 0.9% NaCl (negative control), 0.5% Arg, and 1.0% Arg in a 1:1 ratio for 24 h at 5% CO2, 37 °C. The probiotics were tested for growth profiles, spectroscopic turbidity assay, metabolic assays (XTT and WST-8), live/dead cell assessment using confocal laser scanning microscopy (CLSM), and colony forming units (CFU). RESULTS: The growth profiles of L. rhamnosus GG and L. plantarum were found to be similar, whereas L. acidophilus showed minimal or no transition from the initial lag phase. In the turbidity assay, the end-point absorbance for L. rhamnosus GG with 1.0% Arg was significantly lower than 0.9% NaCl and 0.5% Arg (p<0.05). For metabolic assays and CFU, increasing concentrations of Arg increased the viable cells for L. rhamnosus GG (p<0.05), but decreased viability for L. plantarum (p<0.05). Metabolic assays with dual-species bacterial suspensions indicated that Arg co-treatment inhibited viable proportions compared to control (p<0.05). The dead cell proportion was significantly lower than live cell proportion for all tested interventions and probiotics (p<0.05). CONCLUSION: Increasing concentrations of Arg promote the growth of L. rhamnosus GG, while conversely inhibiting the growth of L. plantarum. Therefore, the effect of prebiotic Arg on probiotics is concentration-dependent, leading to a selective promotion or inhibition of growth. CLINICAL SIGNIFICANCE: The present study results show that Arg supplementation can selectively enhance the growth of L. rhamnosus GG while inhibit the growth of L. plantarum. This underscores the need to consider strain-specific responses in probiotic formulations when developing Arg-based synbiotics for modulating biofilms and creating ecologically homeostatic biofilm microenvironments.

A Systematic Review of Perinuclear Antineutrophil Cytoplasmic Antibody-Associated Glomerulonephritis Following Coronavirus Disease 2019 Vaccination: A 2024 Update.

Antineutrophil cytoplasmic antibody (ANCA)-associated glomerulonephritis (GN) is an immune-mediated kidney disease characterized by the inflammation of small blood vessels in the kidney, leading to renal impairment and potentially irreversible damage. Concerns have been raised over the reports of myeloperoxidase/perinuclear (MPO/p) ANCA GN following the coronavirus disease 2019 (COVID-19) vaccination. Our study provides a comprehensive insight into perinuclear anti-neutrophil cytoplasmic antibodies (p-ANCA) GN after COVID-19 vaccination. We conducted a comprehensive literature search on PubMed, Cochrane Library, and EMBASE using the Medical Subject Headings (MeSH) terms related to "covid-19 vaccine," "glomerulonephritis," "p-ANCA," and "MPO-ANCA" up to March 5, 2024, to include cases of p-ANCA-associated GN following COVID-19 vaccination. Of the 4,102 articles, we included 29, reporting 35 patients demonstrating COVID-19 vaccine-induced p-ANCA GN, with 23 (65.7%) females and a median age of 69 years (mean ± SD = 63.22 ± 16). Twenty-six (74.28%) patients received the mRNA vaccine (Pfizer = 19, Moderna = 7). Seventeen (48.57%) patients presented with p-ANCA GN after the second dose of the COVID-19 vaccine, with a median gap of 19 days (1-84 days). Constitutional symptoms (54.28%) and acute kidney injury (42.85%) were the most reported initial presentations, and elevated serum creatinine (mean peak serum creatinine = 4.98 ± 5.02 mg/dL), hematuria, and proteinuria were the laboratory findings. MPO/p-ANCA was positive in 31 (88.6%) patients. All patients underwent renal biopsy, and crescentic GN was the most common finding among 27 (77.14%) patients. Management of p-ANCA GN included steroids in 30 (85.71%) patients, followed by rituximab (28.57%), and plasmapheresis (22.86%). Most patients responded well to treatment, with complete remission in 29 (82.86%) and relapse in four (11.42%) patients. Two patients did not achieve remission and became dialysis dependent. ANCA-associated GN is a rare and life-threatening complication of the COVID-19 vaccine, necessitating urgent evaluation and management. COVID-19 vaccine-induced p-ANCA GN should be included in the differential diagnoses of patients presenting with kidney injury after vaccination.

Integrating the social determinants of health into graduate medical education training: a scoping review.

BACKGROUND: The social determinants of health (SDH) play a key role in the health of individuals, communities, and populations. Academic institutions and clinical licensing bodies increasingly recognize the need for healthcare professionals to understand the importance of considering the SDH to engage with patients and manage their care effectively. However, incorporating relevant skills, knowledge, and attitudes relating to the SDH into curricula must be more consistent. This scoping review explores the integration of the SDH into graduate medical education training programs. METHODS: A systematic search was performed of PubMed, Ovid MEDLINE, ERIC, and Scopus databases for articles published between January 2010 and March 2023. A scoping review methodology was employed, and articles related to training in medical or surgical specialties for registrars and residents were included. Pilot programs, non-SDH-related programs, and studies published in languages other than English were excluded. RESULTS: The initial search produced 829 articles after removing duplicates. The total number of articles included in the review was 24. Most articles were from developed countries such as the USA (22), one from Canada, and only one from a low- and middle-income country, Kenya. The most highly represented discipline was pediatrics. Five papers explored the inclusion of SDH in internal medicine training, with the remaining articles covering family medicine, obstetrics, gynecology, or a combination of disciplines. Longitudinal programs are the most effective and frequently employed educational method regarding SDH in graduate training. Most programs utilize combined teaching methods and rely on participant surveys to evaluate their curriculum. CONCLUSION: Applying standardized educational and evaluation strategies for SDH training programs can pose a challenge due to the diversity of the techniques reported in the literature. Exploring the most effective educational strategy in delivering these concepts and evaluating the downstream impacts on patient care, particularly in surgical and non-clinical specialties and low- and middle-income countries, can be essential in integrating and creating a sustainable healthcare force.

COVID-19 surveillance report for Sudan, 2020 to 2021.

Background: Following the World Health Organization declaration, COVID-19 was first appearance in Sudan was in March 2020. Cases were reported to the Sudan Federal Ministry of Heath through the surveillance system from different sources. This study used surveillance data from 2020 to 2021 to describe the epidemiologic patterns of COVID-19 occurrence in Sudan and provide insight for better preparedness and response. Methods: Through a retrospective descriptive study, COVID19 cases records obtained from the national surveillance line-list in Surveillance and Information Directorate in Federal Ministry of Health. The analysis of data was done with SPSS version 21. Descriptive analysis done by frequencies and percentages, and further analysis through performing multivariate logistic regression. Results: Out of 48,545 suspected cases tested for COVID-19 using RT-PCR, 27,453 (56.5%) tested positive with case fatality ratio of 6.5%. Higher death rate among elderly (78% > 60-year-old) and males (70.1%). From the reported cases, 53.8% showed no symptoms, while the common symptoms among symptomatic patients were; fever (26.4%), cough (19.1%), shortness of breath (16.8%) with small proportion (4.5%) reported loss of smell and taste. Specific states, Khartoum, Gezira and Red Sea showed highest prevalence. The disease peaked four times during 2020-2021, with a proposed alert threshold of 200-250 cases per week acting as an explosion point nationwide. Conclusions: The high case fatality rate in the country requires further analysis, as well as the high proportion of asymptomatic infection. This will be ensured by improving the quality and completeness of surveillance data. A proposed threshold of 200-250 cases per week should be an alert to augment the measures of controlling the pandemic over the country, including providing enough supplies to decrease mortality.

Tracking the therapeutic efficacy of a ketone mono ester and ß-hydroxybutyrate for ulcerative colitis in rats: New perspectives.

Ulcerative colitis (UC) is an inflammatory condition that affects the colon's lining and increases the risk of colon cancer. Despite ongoing research, there is no identified cure for UC. The recognition of NLRP3 inflammasome activation in the pathogenesis of UC has gained widespread acceptance. Notably, the ketone body ß-hydroxybutyrate inhibits NLRP3 demonstrating its anti-inflammatory properties. Additionally, BD-AcAc 2 is ketone mono ester that increases ß-hydroxybutyrate blood levels. It has the potential to address the constraints associated with exogenous ß-hydroxybutyrate as a therapeutic agent, including issues related to stability and short duration of action. However, the effects of ß-hydroxybutyrate and BD-AcAc 2 on colitis have not been fully investigated. This study found that while both exogenous ß-hydroxybutyrate and BD-AcAc 2 produced the same levels of plasma ß-hydroxybutyrate, BD-AcAc 2 demonstrated superior effectiveness in mitigating dextran sodium sulfate-induced UC in rats. The mechanism of action involves modulating the NF-κB signaling, inhibiting the NLRP3 inflammasome, regulating antioxidant capacity, controlling tight junction protein expression and a potential to inhibit apoptosis and pyroptosis. Certainly, BD-AcAc 2's anti-inflammatory effects require more than just increasing plasma ß-hydroxybutyrate levels and other factors contribute to its efficacy. Local ketone concentrations in the gastrointestinal tract, as well as the combined effect of specific ketone bodies, are likely to have contributed to the stronger protective effect observed with ketone mono ester ingestion in our experiment. As a result, further investigations are necessary to fully understand the mechanisms of BD-AcAc 2 and optimize its use.

Towards an integrated view on microbial CH4, N2O and N2 cycles in brackish coastal marsh soils: A comparative analysis of two sites.

Coastal ecosystems, facing threats from global change and human activities like excessive nutrients, undergo alterations impacting their function and appearance. This study explores the intertwined microbial cycles of carbon (C) and nitrogen (N), encompassing methane (CH4), nitrous oxide (N2O), and nitrogen gas (N2) fluxes, to determine nutrient transformation processes between the soil-plant-atmosphere continuum in the coastal ecosystems with brackish water. Water salinity negatively impacted denitrification, bacterial nitrification, N fixation, and n-DAMO processes, but did not significantly affect archaeal nitrification, COMAMMOX, DNRA, and ANAMMOX processes in the N cycle. Plant species age and biomass influenced CH4 and N2O emissions. The highest CH4 emissions were from old Spartina and mixed Spartina and Scirpus sites, while Phragmites sites emitted the most N2O. Nitrification and incomplete denitrification mainly governed N2O emissions depending on the environmental conditions and plants. The higher genetic potential of ANAMMOX reduced excessive N by converting it to N2 in the sites with higher average temperatures. The presence of plants led to a decrease in the N fixers' abundance. Plant biomass negatively affected methanogenetic mcrA genes. Microbes involved in n-DAMO processes helped mitigate CH4 emissions. Over 93 % of the total climate forcing came from CH4 emissions, except for the Chinese bare site where the climate forcing was negative, and for Phragmites sites, where almost 60 % of the climate forcing came from N2O emissions. Our findings indicate that nutrient cycles, CH4, and N2O fluxes in soils are context-dependent and influenced by environmental factors and vegetation. This underscores the need for empirical analysis of both C and N cycles at various levels (soil-plant-atmosphere) to understand how habitats or plants affect nutrient cycles and greenhouse gas emissions.

Neurosarcoidosis and Transverse Myelitis: Life-Threatening Manifestations of Sarcoidosis.

Sarcoidosis, a systemic granulomatous disorder, typically involves the lungs, skin, and lymph nodes. Neurological manifestations are diverse and may include longitudinally extensive transverse myelitis (LETM), an uncommon inflammatory disorder of the spinal cord. We present a case of a 62-year-old female with LETM as the initial manifestation of sarcoidosis. The patient exhibited progressive bilateral lower extremity weakness, urinary retention, and sensory disturbances. Diagnostic workup revealed characteristic findings on spinal magnetic resonance imaging (MRI), cerebrospinal fluid analysis, and thoracic biopsy. Treatment with high-dose corticosteroids and subsequent immunomodulatory therapy resulted in significant improvement. Our case highlights the importance of including sarcoidosis in the differentials of LETM, particularly in patients with no respiratory manifestations.

Comparison of the effect of open-box versus closed-box prostheses on blood loss following total knee arthroplasty: a meta-analysis.

Purpose: Postoperative blood loss is a common complication following total knee arthroplasty (TKA). The authors aimed to analyze the significance of open versus closed-box prostheses in reducing blood loss after TKA. Methods: PubMed, Cochrane, Scopus, and Web of Science were searched. Observational studies and clinical trials comparing the effect of open-box versus closed-box prostheses on blood loss following TKA were included. The primary outcome was total blood loss following TKA. Secondary outcomes included average transfused units and total operation time. Continuous data were represented as mean difference (MD) and CI, while dichotomous data were presented as odds ratio (OR) and CI. RevMan software version 5.4 was used to conduct the analysis. Results: Four studies with a total number of 687 patients were included. The pooled analysis showed a statistically significant association between closed-box and decreased total blood loss following TKA compared with open-box (MD=173.19, 95% CI=88.77-257.61, P value <0.0001). Similar findings were reported in unilateral TKA (MD=190.63, 95% CI=70.91-310.35, P value=0.002), and bilateral TKA (MD=160.79, 95% CI=61.70-359.86, P value=0.001). There was no significant difference between open and closed-box regarding average transfused units (MD=0.02, 95% CI=-0.07-0.11, P value=0.68), blood transfusion rate (OR=1.38, 95% CI=0.85-2.26, P value=0.20), length of stay (MD=0.06, 95% CI=-0.27 to 0.38, P value=0.74), and total operation time (MD=1.08, 95% CI=-4.62 to 6.79, P value=0.71). Conclusion: Closed-box reduces the total blood loss following unilateral and bilateral TKA. More studies are warranted to explore the benefits of Closed-box in patients with high bleeding susceptibility.

Empirical data drift detection experiments on real-world medical imaging data.

While it is common to monitor deployed clinical artificial intelligence (AI) models for performance degradation, it is less common for the input data to be monitored for data drift - systemic changes to input distributions. However, when real-time evaluation may not be practical (eg., labeling costs) or when gold-labels are automatically generated, we argue that tracking data drift becomes a vital addition for AI deployments. In this work, we perform empirical experiments on real-world medical imaging to evaluate three data drift detection methods' ability to detect data drift caused (a) naturally (emergence of COVID-19 in X-rays) and (b) synthetically. We find that monitoring performance alone is not a good proxy for detecting data drift and that drift-detection heavily depends on sample size and patient features. Our work discusses the need and utility of data drift detection in various scenarios and highlights gaps in knowledge for the practical application of existing methods.

American Black Authorship Has Decreased Across All Clinical Specialties Despite an Increasing Number of Black Physicians Between 1990 and 2020 in the USA.

PURPOSE: Many diversity, equity, and inclusion initiatives assume that attainment of a racially diverse healthcare workforce will translate to increased diversity elsewhere in the healthcare system (e.g., leadership roles or academic authorship). We sought to investigate these trends over time by examining the evolution of physician demographics in the USA, in concert with demographic changes in US authorship in US medical journals from 1990 to 2020 across 25 specialties. METHODS: We reviewed all articles indexed in PubMed, with a primary author affiliation located in the USA and limited to journals based in the USA, relative to the proportion of medical professionals in the CMS National Provider Registry. We employed a previously peer-reviewed/validated algorithm called "averaging-of-proportions" that probabilistically predicts racial identity from surname using the US Census to assess the relationship between diversity among medical professionals and diversity in medical journal authorship. RESULTS: Data reveals a sharp disconnect between the demographic breakdown of physicians and authors. Despite an increase in the number of Black physicians (from 8.5% in 2005 to 9.1% in 2020), there has been a decrease in Black early-career authorship from 7.2% in 1990 to 5.8% in 2020. The percentage of Black early-career authors across all specialties in 2020 is lower than the average per specialty in 1990. Similar trends were noted for Black senior authorship, decreasing from 7.6% in 1990 to 6.2% in 2020, as well as a plateau in Hispanic authorship over the same time interval despite an increasing number of Hispanic physicians. CONCLUSION: Modest advances in physician diversity have not translated to increased diversity in academic authorship. Increasing diversity requires initiatives focused beyond recruitment of underrepresented minorities to medical schools or residencies.

Integrating the social determinants of health into curriculum: AMEE Guide No. 162.

The World Health Organization (WHO) defines the Social Determinants of Health (SDOH) as the non-medical factors influencing health outcomes. SDOH is associated with conditions in which people are born, grow, work, and live. Medical schools and licensing bodies are increasingly recognizing the need for doctors and healthcare professionals to be aware of their patient's social context and how it impacts their states of health and disease. However, there is considerable variation in the approaches of different institutions and countries to incorporating SDOH into their curricula. In order to allow clinicians to adopt a holistic approach to patient health, equipping them with extensive knowledge of SDOH would give learners the confidence, skills, knowledge, and attitudes needed to effectively engage with patients and their families. This approach aids health professionals with knowledge of the influence of the social context and cultural factors that affect patients' behaviors in relation to health. Incorporating the SDOH in medical and health professional school curricula would contribute towards adequately preparing future healthcare practitioners to provide effective, comprehensive, and equitable care, especially to marginalized and underserved populations. The Guide will take an evidence-based approach grounded in the available contemporary literature and case studies. The focus will be on integrating SDOH into undergraduate and postgraduate medical curricula to promote an understanding of the social factors that influence patients' and communities' health. Ultimately, this guide seeks to contribute to the reduction of inequalities in health.

World Stroke Organization Brain & hEart globAl iniTiative Program.

INTRODUCTION: The World Stroke Organization (WSO) Brain & Heart Task Force developed the Brain & hEart globAl iniTiative (BEAT), a pilot feasibility implementation program to establish clinical collaborations between cardiologists and stroke physicians who work at large healthcare facilities. METHODS: The WSO BEAT pilot project focused on atrial fibrillation (AF) and patent foramen ovale (PFO) detection and management, and poststroke cardiovascular complications known as the stroke-heart syndrome. The program included 10 sites from 8 countries: Brazil, China, Egypt, Germany, Japan, Mexico, Romania, and the USA The primary composite feasibility outcome was the achievement of the following 3 implementation metrics (1) developing site-specific clinical pathways for the diagnosis and management of AF, PFO, and the stroke-heart syndrome; (2) establishing regular Neurocardiology rounds (e.g., monthly); and (3) incorporating a cardiologist to the stroke team. The secondary objectives were (1) to identify implementation challenges to guide a larger program and (2) to describe qualitative improvements. RESULTS: The WSO BEAT pilot feasibility program achieved the prespecified primary composite outcome in 9 of 10 (90%) sites. The most common challenges were the limited access to specific medications (e.g., direct oral anticoagulants) and diagnostic (e.g., prolonged cardiac monitoring) or therapeutic (e.g., PFO closure devices) technologies. The most relevant qualitative improvement was the achievement of a more homogeneous diagnostic and therapeutic approach. CONCLUSION: The WSO BEAT pilot program suggests that developing neurocardiology collaborations is feasible. The long-term sustainability of the WSO BEAT program and its impact on quality of stroke care and clinical outcomes needs to be tested in a larger and longer duration program.

Modeling the Adoption of 5760 Clinical Studies Into Practice Across 5 Surgical Specialties.

INTRODUCTION: No studies exist that explore the factors that influence the process of synthesizing new knowledge into perioperative standards of care and the operating room. We sought to model the adoption of clinical research into surgical practice and identify modifiable factors influencing the latency of this translation. METHODS: We created a data set comprised of all UpToDate articles between 2011 and 2020, sampled at 3-mo intervals, to explore how research is incorporated at the point-of-care (POC)-studying 5760 new references from 204 journals across five surgical specialties, compared to all uncited articles published during the same interval. UpToDate authors serve as specialty curators of the vast surgical literature, with an audience of more than a million clinicians in over 180 countries across 3200 institutions. Unlike society guidelines, UpToDate also provides the necessary granularity to quantify the time in bringing research to the bedside. Our main outcomes are citation rates and time-to-citation, split by specialty, journal, article type, and topics. We also model the influence of impact factor, geography, and funding and, finally, propose new impact indices to help with prioritizing surgical literature. RESULTS: We highlight variation in adoption of clinical research by specialty. We show, despite representing a lower quality of evidence, surgical case reports are one of the most cited article types. Furthermore, most clinical trials (94%-100%) in surgical journals are never incorporated into POC reference lists. While few, pragmatic trials were the most likely to be cited of any article type in any surgical specialty (40%). Journal impact factor did not correlate with time-to-citation or proportion of articles cited in three of five surgical specialties, suggesting differences in how specialties synthesize/value research from specialty journals. Our two metrics, the Clinical Relevancy and Immediacy Indices, were defined to capture this impact/relevance to surgical practice. Of the five surgical subspecialties, gynecology references were >5-fold more likely to get cited, had a larger fraction of higher quality evidence incorporated, and demonstrated more success with POC adoption of practice guidelines. We also quantified the cost of translating research to surgical practice per specialty and generated maps that highlight institutions successful in translating research to the POC. The higher expenditure of National Institutes of Health funding in gynecology may reflect the cost of higher quality research per citation. CONCLUSIONS: Understanding translational latency is the first step to exposing blocks that slow the adoption of research into everyday surgical practice and to understanding why increasing research funding has not yielded comparative gains in surgical outcomes. Our approach reveals new methods to monitoring the efficiency of research investments and evaluating the efficacy of policies influencing the translation of research to surgical practice.

Interactions of Neuronally Induced Stem Cells from Apical Papilla Spheres, Stems Cells from Apical Papilla, and Human Umbilical Vascular Endothelial Cells on Vasculogenesis and Neurogenesis.

INTRODUCTION: Stem cell-based dental pulp regeneration has been extensively studied, mainly focusing on exploiting dental stem cells' osteogenic and angiogenic potentials. Dental stem cells' neurogenic role is often overlooked. Stem cells from apical papilla (SCAPs), originating from the neural crest and capable of sphere formation, display potent neurogenic capacity. This study aimed to investigate the interactions of neuronally induced stem cells from apical papilla (iSCAP) spheres, SCAPs, and human umbilical vascular endothelial cells (HUVECs) on vasculogenesis and neurogenesis. METHODS: SCAPs were isolated and characterized using flow cytometry and multilineage differentiation assays. SCAP monolayer culture and spheres were neuronally induced by a small molecule neural induction medium, and the neural gene expression and neurite formation at days 0, 3, and 7 were evaluated by reverse transcription-quantitative polymerase chain reaction (RT-qPCR) and using phase-contrast light and fluorescence microscopy. Direct coculture or pulp-on-chip was used to investigate iSCAP sphere interaction with SCAPs and HUVECs. RT-qPCR, fluorescence microscopy, and immunostaining with ß-tubulin III, alpha-smooth muscle actin, and CD31 were used to study neural gene expression, neurite formation, and neurovascular cell interactions. RESULTS: Neural induction medium with small molecules rapidly induced SCAP differentiation toward neural-like cells. Gene expression of Nestin, ß-tubulin III, microtubule-associated protein 2, neuron-specific enolase, and NeuN was higher in iSCAP spheres than in iSCAPs. iSCAP spheres formed more and longer neurites compared with iSCAPs. iSCAP sphere, HUVEC, and SCAP direct coculture significantly enhanced vessel formation along with up-regulated VEGF (P < .001) and multiple neural markers, such as Nestin (P < .01), microtubule-associated protein 2 (P < .001), S100 (P < .001), and NG2 (P < .001). iSCAP spheres, SCAPs, and HUVECs cultured in a pulp-on-chip system promoted endothelial and neural cell migration toward each other and alpha-smooth muscle actin-positive and CD31-positive cells assembling for the vascular constitution. CONCLUSIONS: iSCAP-formed spheres interact with SCAPs and HUVECs, promoting vasculogenesis and neurogenesis.

Mortality Following Simultaneous Versus Staged Bilateral Total Knee Arthroplasty: A Systematic Review and Meta-Analysis.

Bilateral total knee arthroplasty (BTKA) is a common intervention for bilateral knee osteoarthritis, and the choice between simultaneous (SimBTKA) and staged (StaBTKA) procedures remains a critical decision. This meta-analysis systematically reviews and analyzes the existing literature to compare mortality outcomes associated with SimBTKA and StaBTKA. A comprehensive search was conducted across major databases for studies reporting mortality outcomes in SimBTKA and StaBTKA. Inclusion criteria encompassed studies published up to the cutoff date of January 2023, and a total of 37 studies were included in the quantitative synthesis. Meta-analysis was performed using a random-effects model to calculate odds ratios (ORs) with 95% confidence intervals (CIs) using the Review Manage 5.4 software. The meta-analysis included 86,333 SimBTKA cases and 115,146 StaBTKA cases. The overall mortality rate in SimBTKA was 0.66%, while StaBTKA's was 0.43%. The pooled OR for mortality in SimBTKA versus StaBTKA was 1.55 [1.16, 2.08], indicating a statistically significant higher mortality risk in SimBTKA. Our findings suggest that SimBTKA is associated with an increased risk of mortality compared to StaBTKA. This meta-analysis provides valuable insights into the comparative mortality outcomes of SimBTKA and StaBTKA. While SimBTKA may offer potential advantages, including a single anesthesia event and shorter recovery time, clinicians should consider the increased mortality risk associated with this approach. Future research should focus on prospective studies with standardized reporting to further elucidate the nuanced factors influencing mortality outcomes in bilateral knee arthroplasty.