Mind the gap in kidney care: translating what we know into what we do / Atenção às lacunas no cuidado renal: traduzindo o que sabemos em ações

Abstract Historically, it takes an average of 17 years for new treatments to move from clinical evidence to daily practice. Given the highly effective treatments now available to prevent or delay kidney disease onset and progression, this is far too long. Now is the time to narrow the gap between what we know and what we do. Clear guidelines exist for the prevention and management of common risk factors for kidney disease, such as hypertension and diabetes, but only a fraction of people with these conditions are diagnosed worldwide, and even fewer are treated to target. Similarly, the vast majority of people living with kidney disease are unaware of their condition, because it is often silent in the early stages. Even among patients who have been diagnosed, many do not receive appropriate treatment for kidney disease. Considering the serious consequences of kidney disease progression, kidney failure, or death, it is imperative that treatments are initiated early and appropriately. Opportunities to diagnose and treat kidney disease early must be maximized beginning at the primary care level. Many systematic barriers exist, ranging from the patient to the clinician to the health systems to societal factors. To preserve and improve kidney health for everyone everywhere, each of these barriers must be acknowledged so that sustainable solutions are developed and implemented without further delay.

Resumo Historicamente, são necessários, em média, 17 anos para que novos tratamentos passem da evidência clínica para a prática diária. Considerando os tratamentos altamente eficazes disponíveis atualmente para prevenir ou retardar o início e a progressão da doença renal, esse período é demasiadamente longo. Agora é o momento de reduzir a lacuna entre o que sabemos e aquilo que fazemos. Existem diretrizes claras para a prevenção e o manejo dos fatores de risco comuns para doenças renais, como hipertensão e diabetes, mas apenas uma fração das pessoas com essas condições é diagnosticada mundialmente, e um número ainda menor recebe tratamento adequado. Da mesma forma, a grande maioria das pessoas que sofrem de doença renal não têm conhecimento de sua condição, pois ela costuma ser silenciosa nos estágios iniciais. Mesmo entre pacientes que foram diagnosticados, muitos não recebem tratamento adequado para a doença renal. Levando em consideração as graves consequências da progressão da doença renal, insuficiência renal ou óbito, é imperativo que os tratamentos sejam iniciados precocemente e de maneira adequada. As oportunidades para diagnosticar e tratar precocemente a doença renal devem ser maximizadas, começando no nível da atenção primária. Existem muitas barreiras sistemáticas, que vão desde o paciente até o médico, passando pelos sistemas de saúde e por fatores sociais. Para preservar e melhorar a saúde renal para todos em qualquer lugar, cada uma dessas barreiras deve ser reconhecida para que soluções sustentáveis sejam desenvolvidas e implementadas sem mais demora.

Implementation of the first respiratory syncytial (RSV) immunization campaign with nirsevimab in an autonomous community in Spain.

Respiratory syncytial virus (RSV) is the main cause of low respiratory tract infections in infants under one year of age. In the 2023/2024 season, the monoclonal antibody nirsevimab was available to protect children from RSV, and Spain has become one of the first countries worldwide to implement this strategy. It is essential to evaluate the results of this first campaign and different characteristics of the immunized population in order to plan next campaigns, especially for countries that are going to include this immunization. Our coverage was high (91.5% for those born during the season and 88.3% globally). For those born during the season, only 4.9% preferred not to immunize at the maternity hospital, which meant an average delay of 27.45 days. We observed a lower coverage in the population of immigrant origin. There was a rapid pace of immunization, since for those born before the beginning of the campaign the mean to be immunized was 15.63 days, without differences between healthy and at-risk children. This allows immunization before the RSV season (90% of the catch-up children had been immunized on November 3). The average age at which all the immunized children have received nirsevimab was lower in healthy children compared to those with risk conditions (49.65 versus 232.85 days). For those born during the campaign, the average age was also lower in healthy children (3.14 versus 14.58 days). In conclusion, we consider that the implementation of the immunization strategy with nirsevimab in the Region of Murcia, Spain, has been a success.

Precision public health, the key for future outbreak management: A scoping review.

Background: Precision Public Health (PPH) is a newly emerging field in public health medicine. The application of various types of data allows PPH to deliver more tailored interventions to a specific population within a specific timeframe. However, the application of PPH possesses several challenges and limitations that need to be addressed. Objective: We aim to provide evidence of the various use of PPH in outbreak management, the types of data that could be used in PPH application, and the limitations and barriers in the application of the PPH approach. Methods and analysis: Articles were searched in PubMed, Web of Science, and Science Direct. Our selection of articles was based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) for Scoping Review guidelines. The outcome of the evidence assessment was presented in narrative format instead of quantitative. Results: A total of 27 articles were included in the scoping review. Most of the articles (74.1%) focused on PPH applications in performing disease surveillance and signal detection. Furthermore, the data type mostly used in the studies was surveillance (51.9%), environment (44.4), and Internet query data. Most of the articles emphasized data quality and availability (81.5%) as the main barriers in PPH applications followed by data integration and interoperability (29.6%). Conclusions: PPH applications in outbreak management utilize a wide range of data sources and analytical techniques to enhance disease surveillance, investigation, modeling, and prediction. By leveraging these tools and approaches, PPH contributes to more effective and efficient outbreak management, ultimately reducing the burden of infectious diseases on populations. The limitation and challenges in the application of PPH approaches in outbreak management emphasize the need to strengthen the surveillance systems, promote data sharing and collaboration among relevant stakeholders, and standardize data collection methods while upholding privacy and ethical principles.

Women's health in focus: Real-world data on valproate prescriptions during pregnancy - a cohort study in Catalonia (Spain).

OBJECTIVES: To characterise the exposure to valproate within a cohort of pregnant women using electronic health records (EHRs) from Catalonia (System for the Development of Research in Primary Care, SIDIAP). DESIGN: Drug-utilisation cohort study covering the period from January 2011 to June 2020. The study included pregnancy episodes of women from Catalonia identified by the algorithm. SETTING: Data were sourced from SIDIAP, a comprehensive EHR repository that includes information from various data sources: recorded prescriptions (both hospital and primary care), diagnoses and sociodemographic characteristics identified by primary care physicians, and sexual and reproductive health data from ASSIR (used by gynaecologists and midwives). PARTICIPANTS: Women aged 12-50 with at least one pregnancy episode occurred during January 2011-June 2020 and at least a prescription of valproate during pregnancy. PRIMARY AND SECONDARY OUTCOMES: Primary outcomes included valproate exposure, measured through prevalence and cumulative incidence in pregnancy episodes and by trimester. The impact of regulatory measures (risk mitigation measures, RMMs) was assessed, and prescriptions over time were analysed using interrupted time series analysis. Secondary outcomes included health issues, pregnancy outcomes, smoking habits and socioeconomic characteristics. RESULTS: A total of 99 605 pregnancies were identified, with at least 3.03‰ (95% CI 2.69‰ to 3.39‰) exposed to valproate at some point (302 pregnancies, 276 women). The median pregnancy duration was 38.30 weeks (IQR 12.6-40.1), and the median age at pregnancy was 32.37 years (IQR 27.20-36.56). Epilepsy was the most frequent health issue. The prevalence and cumulative incidence of valproate prescriptions decreased during pregnancy and increased postpregnancy. The RMMs implemented in 2014 led to a reduction in monthly valproate prescriptions during pregnancy in this cohort. CONCLUSIONS: The study highlights the decline in valproate prescriptions during pregnancy due to RMMs and underscores the need for standardised methodologies in future studies to ensure the safety of pregnant patients and optimise scientific evidence.

Public biofoundries as innovation intermediaries: the integration of translation, sustainability, and responsibility.

The emergence and evolution of engineering biology, and its potential to address multiple global challenges is associated with the rise of biofoundries. These innovation intermediaries are facilities that employ advanced automation and computational analytics to accelerate engineering biology applications. Yet, for biofoundries to fully achieve their promise of generating applications that address grand societal challenges, they need to meet three key challenges: translation of research technology and its commercialization, attention to sustainability, and responsible innovation. Using web content analysis and interviews, this paper explores the functions and capabilities undertaken by existing public biofoundries, the extent to which they address these three challenges, and opportunities and models for enhancement. We also probe the roles undertaken by three other contrasting types of innovation intermediaries to identify practices and opportunities for integration and partnering with public biofoundries. We find that public biofoundries exhibit relatively strong capabilities for research translation, whereas efforts toward sustainability and responsibility are generally less prominent. For biofoundry enhancement, we propose an organisational model based on external partnering where public biofoundries are positioned as intermediaries within regional innovation systems. The framework put forward is reproducible and could be used in other contexts for assessing innovation intermediary organisational functions and capabilities toward meeting societal challenges.

Post-COVID-19 pandemic changes in pertussis incidence among patients with acute respiratory tract infections in Zhejiang, China.

Background: Previous studies have compared the incidence of pertussis before and during the COVID-19 pandemic, finding that public health measures related to COVID-19 contributed to a temporary decline in reported pertussis cases during the pandemic. However, the post-pandemic period has seen a resurgence in respiratory infections, influenced by relaxed health measures and decreased public vigilance. This study investigates the epidemiological dynamics of pertussis among patients with acute respiratory tract infections (ARTI) in Zhejiang Province, China, providing essential reference information for ongoing public health strategies. Methods: This study analyzed multicenter data from January 2023 to May 2024, involving 8,560 patients with ARTI from three hospitals in Zhejiang Province. Inclusion criteria included patients who presented with cough symptoms and were clinically diagnosed with either acute upper respiratory tract infections (URTI) or acute lower respiratory tract infections (LRTI), and who had undergone at least one Bordetella pertussis DNA test. The study analyzed the epidemiological changes of pertussis positivity rates and their associations with time, age, gender, and diagnosis types (URTI and LRTI). Results: From January 2023 to May 2024, the positivity rate and testing number for pertussis among patients with ARTI generally showed a gradual increasing pattern. In March 2024, the positivity rate reached its peak at 31.58%, followed by a weekly decline. The overall positivity rate was 23.59%, with no significant differences observed between genders. Pertussis incidence was higher in patients with LRTI (24.49%) compared to those with URTI (18.63%, OR = 1.40, 95% CI: 1.20-1.63, p < 0.001) and in outpatients (25.32%) compared to inpatients (6.09%, OR = 4.17, 95% CI: 3.07-5.64, p < 0.001). According to a generalized additive model analysis, there was a wave-shaped, non-linear relationship between age and pertussis incidence, with a relatively high rate observed in the 5 to 17 age group, peaking at age 10 (33.85%). Additionally, the impact of age, patient type, and diagnosis type on the pertussis infection rate varied across different age groups. Conclusion: After the COVID-19 pandemic, the positivity rate of pertussis in Zhejiang Province peaked in early 2024 and then showed a declining pattern. Children and adolescents were particularly affected, emphasizing the need for enhanced vaccination and public health interventions in this population.

Investigating the efficacy of integrating video-directly observed therapy (VDOT) in the treatment of tuberculosis (TB): A statewide analysis from Florida.

Objectives: To determine if integrating VDOT into TB therapy demonstrated non-inferiority to direct observation, and if VDOT utilization increased across Florida after the onset of Covid-19. Methods: A statewide programmatic review was conducted of all patients in Florida who initiated tuberculosis treatment between January 2018 - December 2018 and January 2020 - December 2021, as documented by the Florida Department of Health. Results: 1361 patients received treatment within the analysis timeframe. Therapy completion was 97.2% in those utilizing VDOT compared to 92.3% utilizing only DOT (p=<.001). Average duration of therapy was 220.5 days in the DOT-only cohort compared to 211.1 days with VDOT integration (p=.027). A 176.35% increase in VDOT utilization was seen across Florida during Covid-19. Conclusions: This is the first and largest state-wide study evaluating the efficacy of integrating VDOT into TB therapy, finding statistically significant improvements in completion and duration of therapy. Despite increased VDOT utilization since the onset of Covid-19, we suspect that multiple barriers may be hindering further integration. VDOT should be recommended as a cost effective, non-inferior alternative to DOT in monitoring the treatment of tuberculosis.

Estimating biological age from retinal imaging: a scoping review.

BACKGROUND/AIMS: The emerging concept of retinal age, a biomarker derived from retinal images, holds promise in estimating biological age. The retinal age gap (RAG) represents the difference between retinal age and chronological age, which serves as an indicator of deviations from normal ageing. This scoping review aims to collate studies on retinal age to determine its potential clinical utility and to identify knowledge gaps for future research. METHODS: Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses checklist, eligible non-review, human studies were identified, selected and appraised. PubMed, Scopus, SciELO, PsycINFO, Google Scholar, Cochrane, CINAHL, Africa Wide EBSCO, MedRxiv and BioRxiv databases were searched to identify literature pertaining to retinal age, the RAG and their associations. No restrictions were imposed on publication date. RESULTS: Thirteen articles published between 2022 and 2023 were analysed, revealing four models capable of determining biological age from retinal images. Three models, 'Retinal Age', 'EyeAge' and a 'convolutional network-based model', achieved comparable mean absolute errors: 3.55, 3.30 and 3.97, respectively. A fourth model, 'RetiAGE', predicting the probability of being older than 65 years, also demonstrated strong predictive ability with respect to clinical outcomes. In the models identified, a higher predicted RAG demonstrated an association with negative occurrences, notably mortality and cardiovascular health outcomes. CONCLUSION: This review highlights the potential clinical application of retinal age and RAG, emphasising the need for further research to establish their generalisability for clinical use, particularly in neuropsychiatry. The identified models showcase promising accuracy in estimating biological age, suggesting its viability for evaluating health status.

Pilot qualitative exploration of the impact of community asset mapping within the undergraduate psychiatry curriculum at an Irish medical school.

INTRODUCTION: Providing an effective response to global health disparities requires that future doctors are better prepared to embrace a public health ethos. Asset-based approaches see people and communities as coproducers of health and well-being and have begun to influence healthcare policy and the training of health professionals. However, to date, there is scant research in this area within undergraduate medical education. OBJECTIVES: To explore: (1) whether an asset-mapping assignment enhances medical students' experience and understanding of psychiatry. (2) The extent to which asset mapping promotes engagement of students with the clinical teams and communities in which they are placed, as perceived by students, clinical tutors and other team members. DESIGN: Using a qualitative case study approach, semistructured interviews were completed with 16 students, 8 psychiatry tutors and 3 multidisciplinary team members (MDTMs) to explore their experiences of the initiative. Interview transcripts were thematically analysed, based on the study aims. SETTING: This research was carried out at Ireland's largest medical school, among undergraduate medical students following a 6-week psychiatry clerkship. INTERVENTION: Students completed a team-based assignment to elicit information on community assets from patients and presented an asset map to their host clinical team at the end of the clerkship. RESULTS: We identified three over-arching themes within the data: (a) connecting the individual patient with the community; (b) relationship building; and (c) pedagogical challenges and rewards. Students found the asset-mapping assignment not only challenging but also rewarding and supported its retention within the curriculum. Tutors were predominantly positive, but some felt that the social focus diluted students' professional identity. MDTMs welcomed the initiative and wished to be more involved. CONCLUSION: Our findings suggest that community asset mapping offers added value within the undergraduate medical curriculum, sensitising students to the importance of exploring patient-perceived community assets.

Spatial dynamics of COVID-19 in São Paulo: A cellular automata and GIS approach.

This study examines the spread of COVID-19 in São Paulo, Brazil, using a combination of cellular automata and geographic information systems to model the epidemic's spatial dynamics. By integrating epidemiological models with georeferenced data and social indicators, we analyse how the virus propagates in a complex urban setting, characterized by significant social and economic disparities. The research highlights the role of various factors, including mobility patterns, neighbourhood configurations, and local inequalities, in the spatial spreading of COVID-19 throughout São Paulo. We simulate disease transmission across the city's 96 districts, offering insights into the impact of network topology and district-specific variables on the spread of infections. The study seeks to fine-tune the model to extract epidemiological parameters for further use in a statistical analysis of social variables. Our findings underline the critical importance of spatial analysis in public health strategies and emphasize the necessity for targeted interventions in vulnerable communities. Additionally, the study explores the potential of mathematical modelling in understanding and mitigating the effects of pandemics in urban environments.

Impact of COVID-19 public health restrictions on fall-related hip fracture hospitalizations: An interrupted time series analysis.

PURPOSE: There is limited evidence regarding the impact of public health restrictions on hip fracture hospitalization by place of fracture occurrence. This study aimed to examine the impact of COVID-19 public health restrictions on fall-related hip fracture hospitalization rates by place of occurrence. METHODS: This retrospective cohort study was conducted using hospitalization data in New South Wales, Australia, between January 2014 and June 2022. Older adults aged ≥65 years admitted to hospital following a fall-related hip fracture. An interrupted time-series analysis using autoregressive integrated moving average models evaluated the impact of public health restrictions on fall-related hip fracture hospitalization by place of fracture occurrence (home/residence, residential aged care facility (RACF), or away from usual residence). RESULTS: The mean observed fall-related hip fracture hospitalization rate during COVID-19 public health restrictions (36.3 per 100,000 people per month) was 13.4 % lower than the forecasted rate (41.1 per 100,000 people per month). The mean observed hospitalization rates for fall-related hip fractures at home/residence, at a RACF, and away from the usual residence were 3.8 %, 18.5 %, and 40.1 % lower than the forecasted rates, respectively. Level changes in the fall-related hip fracture hospitalization rates at RACFs and away from usual residences were -0.9 per 100,000 people per month (95 % CI -1.6 to -0.2) and -1.7 per 100,000 people per month (95 % CI -2.5 to -0.9), respectively. CONCLUSIONS: There was a decline in fall-related hip fracture hospitalization rates among older adults, where the fracture occurred at RACFs and away from a person's usual residence during COVID-19 public health restrictions.

Comparative treatment of homeless persons with an infectious disease in the US emergency department setting: a retrospective approach.

BACKGROUND: Research has long documented the increased emergency department usage by persons who are homeless compared with their housed counterparts, as well as an increased prevalence of infectious diseases. However, there is a gap in knowledge regarding the comparative treatment that persons who are homeless receive. This study seeks to describe this potential difference in treatment, including diagnostic services tested, procedures performed and medications prescribed. METHODS: This study used a retrospective, cohort study design to analyse data from the 2007-2010 United States National Hospital Ambulatory Medical Care Survey database, specifically looking at the emergency department subset. Complex sample logistic regression analysis was used to compare variables, including diagnostic services, procedures and medication classes prescribed between homeless and private residence individuals seeking emergency department treatment for infectious diseases. Findings were then adjusted for potential confounding variables. RESULTS: Compared with private residence individuals, persons who are homeless and presenting with an infectious disease were more likely (adjusted OR: 10.99, CI 1.08 to 111.40, p<0.05) to receive sutures or staples and less likely (adjusted OR: 0.29, CI 0.10 to 0.87, p<0.05) to be provided medications when presenting with an infectious disease in US emergency departments. Significant differences were also detected in prescribing habits of multiple anti-infective medication classes. CONCLUSION: This study detected a significant difference in suturing/stapling and medication prescribing patterns for persons who are homeless with an infectious disease in US emergency departments. While some findings can likely be explained by the prevalence of specific infectious organisms in homeless populations, other findings would benefit from further research.

Piloting wastewater-based surveillance of norovirus in England.

Wastewater-based epidemiology (WBE) gained widespread use as a tool for supporting clinical disease surveillance during the COVID-19 pandemic. There is now significant interest in the continued development of WBE for other pathogens of clinical significance. In this study, approximately 3,200 samples of wastewater from across England, previously collected for quantification of SARS-CoV-2, were re-analysed for the quantification of norovirus genogroup I (GI) and II (GII). Overall, GI and GII were detected in 93% and 98% of samples respectively, and at least one of the genogroups was detected in 99% of samples. GI was found at significantly lower concentrations than GII, but the proportion of each genogroup varied over time, with GI becoming more prevalent than GII in some areas towards the end of the study period (May 2021 - March 2022). Using relative strength indices (RSI), it was possible to study the trends of each genogroup, and total norovirus over time. Increases in norovirus levels appeared to coincide with the removal of COVID-19 related lockdown restrictions within England. Local Moran's I analyses indicated several localised outbreaks of both GI and GII across England, notably the possible GI outbreak in the north of England in early 2022. Comparisons of national average norovirus concentrations in wastewater against concomitant norovirus reported case numbers showed a significant linear relationship. This highlights the potential for wastewater-based monitoring of norovirus as a valuable approach to support surveillance of norovirus in communities.

Dissemination of health content through social networks: YouTube and opioid use disorders.

INTRODUCTION: Most Americans now access social media platforms, including YouTube, to obtain health information. However, few studies have evaluated the quality of YouTube content related to opioid use disorder (OUD), including medications for OUD (MOUD; buprenorphine) and harm reduction resources (e.g., naloxone). The purpose of this cross-sectional analysis was to assess the quality, accuracy, and reliability of MOUD and harm reduction-related video content available on YouTube. METHODS: The study team conducted a YouTube search between June 2022 and July 2022 using key words related to MOUD and harm reduction content (e.g., "suboxone," "methadone," "Narcan"). The 5 most viewed videos from each search term were analyzed for quality (i.e., Global Quality Scale; GQS), accuracy (i.e., JAMA Benchmark Criteria), and reliability (i.e., DISCERN). Videos that were non-English, duplicate, or that did not directly mention OUD, MOUD, or harm reduction were excluded from the review (N = 6). RESULTS: YouTube videos (N = 70) were mostly produced by medical professionals (27.1 %), independent nonmedical users (21.4 %; e.g., vloggers, individuals documenting their experiences), medical organizations (17.1 %; e.g., hospitals, treatment programs), and/or media (14.3 %; e.g., news agencies). The target audience was primarily the general public (65.7 %), people who use opioids (20.0 %), and healthcare providers (10.0 %). Videos containing MOUD content (N = 64, 61.4 %) mostly focused on suboxone (25.0 %), methadone (23.4 %), Sublocade (14.1 %), and subutex/buprenorphine (14.1 %). The median quality score was 2 based on the GQS with 3 videos receiving the highest quality rating (5). Two videos were highly rated for accuracy per all three JAMA Benchmark criteria. Videos produced by nonmedical educational channels had the highest overall reliability scores on the DISCERN criteria (median 4), followed by medical professionals (median 3), and medical organizations (median 2.5). CONCLUSION: The overall quality, accuracy, and reliability of MOUD and harm reduction related content posted on YouTube is poor. The lack of evidence-based content posted on YouTube reinforces the need for public health expert involvement in disseminating guideline-based content on social media.

Polio, public health memories and temporal dissonance of re-emerging infectious diseases in the global north.

Social science research on polio has been centred in the global south, where countries that remain endemic or vulnerable to outbreaks are located. However, closely-related strains of poliovirus were detected in the sewage systems of several New York State counties and London boroughs in 2022. These detections constituted the first encounters with polio in the United States and United Kingdom for a generation - for both public health agencies and publics alike. This paper takes the transnational spread of poliovirus in 2022 as an opportunity to critique how public health memories of twentieth-century polio epidemics were mobilised to encourage vaccine uptake among groups considered vulnerable to transmission, notably Orthodox Jewish families. The study integrates data collected in London and New York as part of academic engagement with health protection responses to the spread of polio. Methods in both settings involved ethnographic research, and a total of 59 in-depth semi-structured interviews with public health professionals, healthcare providers, and Orthodox Jewish community partners and residents. Analysis of results demonstrate that narratives of epidemiological progress were deployed in public health responses in London and New York, often through references to sugar cubes, iron lungs, and timelines that narrate the impact of routine childhood immunisations. While memories of polio were deployed in both settings to provoke an urgency to vaccinate, vulnerable publics instead considered the more recent legacy of the COVID-19 pandemic when deciding whether to trust recommendations and responses. Critical attention to memory places analysis on the divergences between institutional (public health agencies) and peopled (publics) responses to disease events. Responses to re-emerging infectious disease outbreaks engender a temporal dissonance when historical narratives are evoked in ways that contrast with the contemporary dilemmas of people and parents.

Development of a Machine Learning-Based Model for Accurate Detection and Classification of Polycystic Ovary Syndrome on Pelvic Ultrasound.

Polycystic ovary syndrome (PCOS) is a common endocrine disorder that disrupts reproductive function and hormonal balance. It primarily affects reproductive-aged women and leads to physical, metabolic, and emotional challenges affecting the quality of life. In this study, we develop a machine learning-based model to accurately identify PCOS pelvic ultrasound images from normal pelvic ultrasound images. By leveraging 1,932 pelvic ultrasound images from the Kaggle online platform (Google LLC, Mountain View, CA), we were able to create a model that accurately detected multiple small follicles in the ovaries and an increase in ovarian volume for PCOS pelvic ultrasound images from normal pelvic ultrasound images. Our developed model demonstrated a promising performance, achieving a precision value of 82.6% and a recall value of 100%, including a sensitivity and specificity of 100% each. The value of the overall accuracy proved to be 100% and the F1 score was calculated to be 0.905. As the results garnered from our study are promising, further validation studies are necessary to generalize the model's capabilities and incorporate other diagnostic factors of PCOS such as physical exams and lab values.

The Australian Park Life project: Development of a nationally standardised spatial layer and public participatory GIS for greenspace in Australian capital cities.

This paper introduces the 'Australian Park Life Project' and describes a protocol to standardise the capture and collation of public open greenspace spatial data across Australian cities. This method will progress greenspace research allowing for unique coherent national analyses and comparative research across Australia. We also outline the development of the Park Life public participatory geographic information system (PPGIS) to spatially explore what, and how, public open greenspaces are being used by Australian communities. The combination of community crowdsourced spatial data providing location-specific information on the green public open spaces used, in combination with the national spatial layer of greenspace allows for unique analyses exploring the role of greenspace provision and design on use and represents a transformative strategy in shaping public open space policy and strategy.•A spatial layer of public open greenspace was created for the eight Australian State and Territory capital cities using a standardised data capture and collection method from local government planning schemes and land use data, and listings of managed and demarcated parks and reserves.•The Park Life public participatory geographic information system (PPGIS) was built to capture spatially referenced information on the use of greenspaces - specifically what spaces are used, and how they are used.

Differential immunometabolic responses to Delta and Omicron SARS-CoV-2 variants in golden syrian hamsters.

Delta (B.1.617.2) and Omicron (B.1.1.529) variants of SARS-CoV-2 represents unique clinical characteristics. However, their role in altering immunometabolic regulations during acute infection remains convoluted. Here, we evaluated the differential immunopathogenesis of Delta vs. Omicron variants in Golden Syrian hamsters (GSH). The Delta variant resulted in higher virus titers in throat swabs and the lungs and exhibited higher lung damage with immune cell infiltration than the Omicron variant. The gene expression levels of immune mediators and metabolic enzymes, Arg-1 and IDO1 in the Delta-infected lungs were significantly higher compared to Omicron. Further, Delta/Omicron infection perturbed carbohydrates, amino acids, nucleotides, and TCA cycle metabolites and was differentially regulated compared to uninfected lungs. Collectively, our data provide a novel insight into immunometabolic/pathogenic outcomes for Delta vs. Omicron infection in the GSH displaying concordance with COVID-19 patients associated with inflammation and tissue injury during acute infection that offered possible new targets to develop potential therapeutics.