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Abstract Background Globally, Multidisciplinary Teams (MDTs) are considered the gold standard for diagnosis and treatment of cancer and other conditions, but variability in performance has led to demand for improvement tools. MDT‐FIT (Multidisciplinary Team Feedback for Improving Teamwork) is an improvement programme developed iteratively with over 100 MDTs (≥1100 MDT‐members). Complex interventions are often adapted to context, but this is rarely evaluated. We conducted a prospective evaluation of the implementation of MDT‐FIT across an entire integrated care system (ICS). Methods MDT‐FIT was implemented within all breast cancer MDTs across an ICS in England (n = 10 MDTs; 275 medical, nursing, and administrative members). ICS managers coordinated the implementation across the three stages of MDT‐FIT: set up; assessment (self‐report by team members plus independent observational assessment); team‐feedback and facilitated discussion to agree actions for improvement. Data were collected using process and systems logs, and interviews with a purposively selected range of participants. Analysis was theoretically grounded in evidence‐based frameworks for implementation strategies and outcomes. Results All 10 MDTs participated in MDT‐FIT; 36 interviews were conducted. Data from systems and process logs covered a 9‐month period. Adaptations to MDT‐FIT by the ICS (e.g., coordination of team participation by ICS rather than individual hospitals; and reducing time protected for coordination) reduced Fidelity and Adoption of MDT‐FIT. However, the Acceptability, Appropriateness and Feasibility of MDT‐FIT remained high due to embedding implementation strategies in the development of MDT‐FIT (e.g., stakeholder engagement, interactive support). Conclusions This is a unique and comprehensive evaluation of the multi‐site implementation of a complex team improvement programme. Findings support the imperative of considering implementation strategies when designing such programmes to minimize potentially negative impacts of adaptations in “real world” settings.

Abstract Background Multidisciplinary teams (MDT) formulate expert informed treatment recommendations for people with cancer. We set out to examine how the factors proposed by the functional perspective of group decision making (DM), that is, interaction process, internal factors (factors emanating from within the group such as group size), external circumstances (factors coming from the outside of the team), and case‐complexity affect the quality of MDT decision making. Methods This was a cross‐sectional observational study. Three cancer MDTs were recruited with 44 members overall and 30 of their weekly meetings filmed. Validated observational instruments were used to measure quality of DM, interactions, and complexity of 822 case discussions. Results The full regression model with the variables proposed by the functional perspective was significant, R2 = 0.52, F(20, 801) = 43.47, P

Abstract Introduction The purpose of this retrospective cohort study was to assess differences in complication rates, early readmission rates, and reasons for readmission following TKA based on discharge destination. Secondarily, we aimed to identify independent risk factors for developing any adverse event (AAE) in the 30-day postoperative period. Methods The American College of Surgeons (ACS) National Surgical Quality Improvement Program (NSQIP) was filtered using current procedural terminology (CPT) codes to identify patients undergoing TKA from 2015 to 2020. Patients were divided into three cohorts based on discharge destination: home, skilled nursing facility (SNF), or inpatient rehabilitation facility (IRF). Propensity score matching was used to account for confounding variables. Statistical analysis was conducted using one-way analysis of variance (ANOVA), Chi-square tests, and multivariable logistic regression. Results 352,824 patients were initially identified with 303,375 discharged home, 31,635 discharged to SNF, and 17,814 discharged to IRF. Following propensity score matching, there were 5,000 patients in each cohort. Regarding postoperative complications, the home cohort had significantly a lower readmission rate (p = 0.01) and rate of any adverse event (p

Abstract Objective The objective of this study is to compare detection rates of extracapsular extension (ECE) of prostate cancer (PCa) using artificial intelligence (AI)‐generated cancer maps versus MRI and conventional nomograms. Materials and methods We retrospectively analysed data from 147 patients who received MRI‐targeted biopsy and subsequent radical prostatectomy between September 2016 and May 2022. AI‐based software cleared by the United States Food and Drug Administration (Unfold AI, Avenda Health) was used to map 3D cancer probability and estimate ECE risk. Conventional ECE predictors including MRI Likert scores, capsular contact length of MRI‐visible lesions, PSMA T stage, Partin tables, and the “PRedicting ExtraCapsular Extension” nomogram were used for comparison. Postsurgical specimens were processed using whole‐mount histopathology sectioning, and a genitourinary pathologist assessed each quadrant for ECE presence. ECE predictors were then evaluated on the patient (Unfold AI versus all comparators) and quadrant level (Unfold AI versus MRI Likert score). Receiver operator characteristic curves were generated and compared using DeLong's test. Results Unfold AI had a significantly higher area under the curve (AUC = 0.81) than other predictors for patient‐level ECE prediction. Unfold AI achieved 68% sensitivity, 78% specificity, 71% positive predictive value, and 75% negative predictive value. At the quadrant level, Unfold AI exceeded the AUC of MRI Likert scores for posterior (0.89 versus 0.82, p = 0.003), anterior (0.84 versus 0.80, p = 0.34), and all quadrants (0.89 versus 0.82, p = 0.002). The false negative rate of Unfold AI was lower than MRI in both the anterior (−60%) and posterior prostate (−40%). Conclusions Unfold AI accurately predicted ECE risk, outperforming conventional methodologies. It notably improved ECE prediction over MRI in posterior quadrants, with the potential to inform nerve‐spare technique and prevent positive margins. By enhancing PCa staging and risk stratification, AI‐based cancer mapping may lead to better oncological and functional outcomes for patients.

Background: After the first Avian Influenza H5N1 outbreak in Nigerian poultry in 2006, subsequent waves of outbreaks occurred, causing substantial losses. Despite effective control measures by 2008, a resurgence in 2015 led to further losses and required depopulation efforts. Aim: The aim of this study was to do Pathology and molecular detection of influenza A subtype H9N2 virus in commercial poultry in Nigeria during 2024. Methods: In February 2024, a poultry farmer reported high mortality in his mixed commercial poultry flock in Ibadan, Nigeria, submitting carcasses to the University of Ibadan's V.T.H. and the FAO Regional Laboratory at NVRI, Vom. Results: Necropsy of nine Isa Brown layers and three Abor Acre broilers revealed cyanosis of comb and wattles, generalized petechial and ecchymotic haemorrhages including shank haemorrhages with sinusitis, pneumonia, and severe greenish faecal pasting also observed. At histopathology, denudation of the tracheal epithelia and parabronchial epithelial necrosis, obliteration, with airsac oedema and emphysema were observed. At NVRI, qPCR detected an Influenza A H9N2 virus in several pooled organ samples of layers, and broilers and eliminating the avian infectious bronchitis and Newcastle disease viruses. Conclusion: This is the first report of H9N2 outbreak in commercial poultry in Southern Nigeria. The high pathogenicity shown in commercial poultry in this outbreak and the risk of dispersal of infected live poultry in Nigeria as previously seen in H5N1 require stakeholders' intervention. [Open Vet J 2024; 14(9.000): 2381-2391]

Abstract Background Historically, ankle fractures have been treated with open reduction and internal fixation (ORIF) procedures, which are considered safe and effective. Patient characteristics may contribute to postoperative difficulties thereby increasing risk of hospital readmission. The objective of this study was to determine the frequency of and reasons for 30-day readmission and postoperative complications following ORIF for ankle fractures. Methods A retrospective review of the National Surgical Quality Improvement Program (NSQIP) database from 2015 to 2021 identified patients undergoing ORIF for ankle fractures. Patient demographics, complication incidence, and reasons for unplanned hospital readmission were collected. Multivariable analyses identified patient risk factors for any adverse event (AAE) and readmission within 30-days of surgery. Results The 29,905 patients queried who underwent ORIF procedures for ankle fractures between 2015 and 2021 were 49.6 ± 18.40 years of age, 30.9 ± 7.10 kg/m2, and 40.81% male. Of this cohort, 981 (3.30%) experienced 30-day postoperative adverse events, with surgical site infections (SSI; 1.25%) the most common. Unplanned readmission was observed in 2.08% of patients after a mean of 14.64 days. Surgical site related readmissions were 20.55% (n = 128) of reported readmissions with the most common being superficial incisional SSI. Notable risk factors for adverse events included ASA class (OR = 1.579, P

Today’s data-driven world requires earth and environmental scientists to have skills at the intersection of domain and data science. These skills are imperative to harness information contained in a growing volume of complex data to solve the world’s most pressing environmental challenges. Despite the importance of these skills, Earth and Environmental Data Science (EDS) training is not equally accessible, contributing to a lack of diversity in the field. This creates a critical need for EDS training opportunities designed specifically for underrepresented groups. In response, we developed the Earth Data Science Corps (EDSC) which couples a paid internship for undergraduate students with faculty training to build capacity to teach and learn EDS using Python at smaller Minority Serving Institutions. EDSC faculty participants are further empowered to teach these skills at their home institutions which scales the program beyond the training lead by our team. Using a Rasch modeling approach, we found that participating in the EDSC program had a significant impact on undergraduate learners’ comfort and confidence with technical and nontechnical data science skills, as well as their science identity and sense of belonging in science, two critical aspects of recruiting and retaining members of underrepresented groups in STEM. Supplementary materials for this article are available online.

A life cycle inventory (LCI) dataset for food waste management was developed using secondary data from scientific literature and government reports. EPA reports on food waste management were used as the basis for collecting literature to review. Unit process parameters from the reviewed literature are compiled and combined with engineering calculations to generate LCI for food management pathways. Both the literature values and engineering calculations are reviewed and documented with notes indicating any potential limitations in the dataset.The Excel-based inventory model includes pathways for anaerobic digestion, composting – windrow and aerated static pile, landfilling, and incineration. The model includes default parameter value selections, but the inventory may also be generated using user-specified parameter values. The model includes site-specific unit process models that do not have default parameter values pre-selected. Users can specify parameter values within these unit processes to generate LCI data for the food waste management pathways in line with their project scope. Site-specific unit processes include options such as biogas and landfill gas utilization and treatment of compost and digestate. This dataset and model can be used to generate LCI for evaluating food waste management in a comprehensive life cycle assessment study.

Given that little is currently known about gambling in the workplace, we conducted a mixed-methods study to describe the characteristics and experiences of people who gamble at work. We administered a Canada-wide online survey (n = 2,000) of adults who 1) gamble, 2) are currently employed full-time, and 3) have internet access at work. A descriptive analysis of quantitative survey data showed that individuals who gamble at work had lower job satisfaction and higher rates of problem gambling compared to those who do not. Among those who gamble at work, we quantitatively described the types of gambling, the consequences experienced, and the motivations for gambling. Qualitative interviews were conducted with 18 individuals who met the criteria for problem gambling and who gamble at work. Data were integrated to provide a richer description of the experiences of those who gamble at work, including their motivations, the role of work–life satisfaction, and the dynamic influence of work as a social context. Motivations for workplace gambling included excitement, social connection, avoidance, and coping with stress or emotions. The results highlight the importance of understanding the varied motivations of individuals who gamble at work, and the role of work experiences in shaping meaning regarding gambling behaviours.

Abstract Background HIV partner counselling and testing in antenatal care (ANC) is a crucial strategy to raise the number of males who know their HIV status. However, in many settings like Tanzania, male involvement in antenatal care remains low, and there is a definite need for innovative strategies to increase male partner involvement. This study was designed to evaluate the efficacy of mobile phone intervention increase male partner ANC attendance for HIV testing in Moshi municipal, Tanzania. Methods Between April and July 2022, we enrolled pregnant women presenting to a first ANC visit at Majengo and St. Joseph reproductive health facilities without their male partners. Eligible pregnant women were randomly assigned to invitation of their male partners either via phone calls, text messages from clinic staff and verbal invites from pregnant partners (intervention arm) or verbal invites only from the pregnant partners (control arm). Neither healthcare provider nor participant were blinded. The primary outcome was the proportion of male partners who attended ANC with their pregnant partners during a follow-up period of two consecutive visits. The secondary outcome measure was HIV testing among male partners following the invitation. Participants were analyzed as originally assigned (intention to treat). Results A total of 350 pregnant women presenting to ANC for the first time were enrolled, with 175 women enrolled in each arm. The efficacy of male attendance with their pregnant women following the invitations was 83.4% (147/175) in the intervention arm and 46.3% (81/175) in the control arm. Overall, the results suggest a positive and statistically significant average treatment effect among men who received mobile phone intervention on ANC attendance. For the secondary outcome, the percent of male partners who accepted HIV counselling and testing was 99.3% (146/147) in the intervention arm and 93.8% (76/81) in the control arm. Married men were having higher odds of ANC attendance compared with single men (aOR:6.40(3.26–12.56), Males with multigravida women were having lower odds of ANC attendance compared with primigravida women (aOR:0.17(0.09–0.33). Conclusion The study demonstrates that supplementing verbal invitations with mobile phone calls and text messages from clinic staff can significantly increase male partner ANC attendance and HIV testing. This combined approach is recommended in improving ANC attendance and HIV testing of male partners who do not accompany their pregnant partners to antenatal clinics in the first visits. Trial registration PACTR202209769991162.

Background: Freezing of gait (FOG) is a debilitating symptom of Parkinson’s disease (PD) characterized by paroxysmal episodes in which patients are unable to step forward. A research priority is identifying cortical changes before freezing in PD-FOG. Methods: We tested 19 patients with PD who had been assessed for FOG (n=14 with FOG and 5 without FOG). While seated, patients stepped bilaterally on pedals to progress forward through a virtual hallway while 64-channel EEG was recorded. We assessed cortical activities before and during lower limb motor blocks (LLMB), defined as a break in rhythmic pedaling, and stops, defined as movement cessation following an auditory stop cue. This task was selected because LLMB correlates with FOG severity in PD and allows recording of high-quality EEG. Patients were tested after overnight withdrawal from dopaminergic medications (“off” state) and in the “on” medications state. EEG source activities were evaluated using individual MRI and standardized low resolution brain electromagnetic tomography (sLORETA). Functional connectivity was evaluated by phase lag index between seeds and pre-defined cortical regions of interest. Results: EEG source activities for LLMB vs. cued stops localized to right posterior parietal area (Brodmann area 39), lateral premotor area (Brodmann area 6), and inferior frontal gyrus (Brodmann area 47). In these areas, PD-FOG (n=14) increased alpha rhythms (8-12 Hz) before LLMB vs. typical stepping, whereas PD without FOG (n=5) decreased alpha power. Alpha rhythms were linearly correlated with LLMB severity, and the relationship became an inverted U-shape when assessing alpha rhythms as a function of percent time in LLMB in the “off” medication state. Right inferior frontal gyrus and supplementary motor area connectivity was observed before LLMB in the beta band (13-30 Hz). This same pattern of connectivity was seen before stops. Dopaminergic medication improved FOG and led to less alpha synchronization and increased functional connections between frontal and parietal areas. Conclusions: Right inferior parietofrontal structures are implicated in PD-FOG. The predominant changes were in the alpha rhythm, which increased before LLMB and with LLMB severity. Similar connectivity was observed for LLMB and stops between the right inferior frontal gyrus and supplementary motor area, suggesting that FOG may be a form of “unintended stopping.” These findings may inform approaches to neurorehabilitation of PD-FOG.

Abstract Background Pre-Hospital Emergency Anaesthesia (PHEA) has undergone significant developments since its inception. However, optimal drug dosing remains a challenge for both medical and trauma patients. Many prehospital teams have adopted a drug regimen of 3 mcg/kg fentanyl, 2 mg/kg ketamine and 1 mg/kg rocuronium (‘3:2:1’). At Essex and Herts Air Ambulance Trust (EHAAT) a new standard dosing regimen was introduced in August 2021: 1 mcg/kg fentanyl, 2 mg/kg ketamine and 2 mg/kg rocuronium (up to a maximum dose of 150 mg) (‘1:2:2’). The aim of this study was to evaluate the cardiorespiratory consequences of a new attenuated fentanyl and augmented rocuronium dosing regimen. Methods A retrospective study was conducted at EHAAT as a service evaluation. Anonymized records were reviewed from an electronic database to compare the original (‘3:2:1’) drug dosing regimen (December 2019-July 2021) and the new (‘1:2:2’) dosing regimen (September 2021-May 2023). The primary outcome was the incidence of absolute hypotension within ten minutes of induction. Secondary outcomes included immediate hypertension, immediate hypoxia and first pass success (FPS) rates. Results Following exclusions (n = 121), 720 PHEA cases were analysed (360 new vs. 360 original, no statistically significant difference in demographics). There was no difference in the rate of absolute hypotension (24.4% ‘1:2:2’ v 23.8% ‘3:2:1’, p = 0.93). In trauma patients, there was an increased first pass success (FPS) rate with the new regimen (95.1% v 86.5%, p = 0.01) and a reduced incidence of immediate hypoxia (7.9% v 14.8%, p = 0.05). There was no increase in immediate hypertensive episodes (22.7% vs. 24.2%, p = 0.73). No safety concerns were identified. Conclusion An attenuated fentanyl and augmented rocuronium dosing regimen showed no difference in absolute hypotensive episodes in a mixed cohort of medical and trauma patients. In trauma patients, the new regimen was associated with an increased FPS rate and reduced episodes of immediate hypoxia. Further research is required to understand the impact of such drug dosing in the most critically ill and injured subpopulation.

Abstract Recently, the tiger-cat species complex was split into Leopardus tigrinus and Leopardus guttulus, along with other proposed schemes. We performed a detailed analysis integrating ecological modeling, biogeography, and phenotype of the four originally recognized subspecies—tigrinus, oncilla, pardinoides, guttulus—and presented a new multidimensional niche depiction of the species. Species distribution models used > 1400 records from museums and photographs, all checked for species accuracy. Morphological data were obtained from institutional/personal archives. Spotting patterns were established by integrating museum and photographic/camera-trap records. Principal component analysis showed three clearly distinct groups, with the Central American specimens (oncilla) clustering entirely within those of the Andes, namely the pardinoides group of the cloud forests of the southern Central-American and Andean mountain chains (clouded tiger-cat); the tigrinus group of the savannas of the Guiana Shield and central/northeastern Brazil (savanna tiger-cat); and the guttulus group in the lowland forests of the Atlantic Forest domain (Atlantic Forest tiger-cat). This scheme is supported by recent genetic analyses. All species displayed different spotting patterns, with some significant differences in body measurements/proportions. The new distribution presented alarming reductions from the historic range of − 50.4% to − 68.2%. This multidimensional approach revealed a new species of the elusive and threatened tiger-cat complex.

Purpose: To compare 30-day postoperative rates of adverse events, particularly infection rates, between open biceps tenodesis and biceps tenotomy. Methods: The American College of Surgeons National Surgical Quality Improvement Program was filtered using Current Procedural Terminology codes to identify patients undergoing open biceps tenodesis and tenotomy from 2010 to 2021. Patients were divided into cohorts based on procedure type. Propensity score matching was used to account for confounding variables. Statistical analyses were conducted to compare 30-day postoperative outcomes between cohorts, as well as to evaluate secondary risk factors for complications. Results: Overall, 12,367 patients were included in the study with 11,417 undergoing open biceps tenodesis and 950 undergoing biceps tenotomy. After matching, 1,900 patients were included in the final analysis. The rate of outpatient procedures in the tenodesis cohort was significantly higher than in the tenotomy cohort. Rates of any adverse event (AAE), sepsis, pneumonia, reoperation, and extended length of stay (LOS) were significantly higher in the tenotomy cohort compared with the tenodesis cohort. There was no difference in infection rates or wound dehiscence between the 2 groups. After multivariable analysis, increasing age, longer operative time, and history of bleeding disorders were associated with significantly higher odds of developing AAE. Conclusions: In this study, we found that tenotomy and open tenodesis are both safe options for treatment of biceps pathology. The overall rate of developing AAE and the rate of postoperative sepsis were higher in the tenotomy cohort. In addition, rates of postoperative infection and wound dehiscence did not vary between the 2 groups. Small differences were additionally observed in rates of pneumonia, return to the operating room, and extended LOS, and these rates were higher in the tenotomy cohort. Level of Evidence: Level III, retrospective comparative study.

This paper presents the development of a tool that aims to help stakeholders make informed decisions to invest in renewable energy and understand the impact of different tariffs on the economic viability of renewable energy investments. This includes evaluating the costs and benefits, and assessing the impacts of different tariff structures on the economic feasibility of those options. Furthermore, the tool can help in identifying the potential risks and challenges associated with renewable energy integration projects, such as market and network charges fluctuations. Therefore, this tool provides various evaluations to inform users about their energy consumption in relation to sport market energy prices, network tariffs, and retailer charges. It enables the assessment of a site’s economic operation over specific timeframes, calculates potential energy savings from on-site renewable sources, and determines economic indicators based on life-cycle cost analysis. The tool has been designed and validated with data from the Australian energy market, focusing on investment decisions for renewable energy projects in Victoria state. It adheres to the Australian Energy Market Regulations and incorporates feed-in tariff rates particular to the Victorian energy market and its regulatory framework.

PURPOSETo evaluate the efficacy of combination therapy using transarterial chemoembolization with microwave ablation (MWA) therapy vs. MWA monotherapy for hepatocellular carcinomas (HCCs) >3 cm in size.METHODSThis two-arm retrospective observational study included patients with HCCs >3 cm who underwent either combination therapy (29 patients) or MWA monotherapy (35 patients) between 2014 and 2020. The treatment outcomes related to primary treatment efficacy, local tumor progression (LTP), tumor control rate, and overall survival were compared between each cohort.RESULTSThe technical success and primary efficacy were 96.56% and 100.00% in the combination therapy cohort, and 91.42% and 100.00% in the MWA cohort, respectively, over a mean follow-up period of 27.6 months. The 1- and 3-year rates of LTP-free survival were 78.57% and 69.56% in the combination therapy cohort, vs. 72.45% and 35.44% in the MWA cohort, respectively (P = 0.001). The overall progression-free survival was longer in the combination therapy cohort compared with the MWA cohort (median: 56.0 vs. 13.0 months; P = 0.017). With the incorporation of additional locoregional therapy, the overall survival rates were not significantly different, with 1- and 3-year overall survival rates of 100.00% and 88.71% in the combination therapy cohort and rates of 90.15% and 82.76% in the MWA cohort, respectively (P = 0.235).CONCLUSIONThe combination therapy provided significantly longer upfront LTP-free survival in HCCs >3 cm when compared with the MWA treatment alone, albeit with similar local tumor control and overall survival rates when accounting for additional locoregional therapies.

Abstract Epithelial skin cancers are extremely common, but the mechanisms underlying their malignant progression are still poorly defined. Here, we identify the NRF3 transcription factor as a tumor suppressor in the skin. NRF3 protein expression is strongly downregulated or even absent in invasively growing cancer cells of patients with basal and squamous cell carcinomas (BCC and SCC). NRF3 deficiency promoted malignant conversion of chemically induced skin tumors in immunocompetent mice, clonogenic growth and migration of human SCC cells, their invasiveness in 3D cultures, and xenograft tumor formation. Mechanistically, the tumor‐suppressive effect of NRF3 involves HSPA5, a key regulator of the unfolded protein response, which we identified as a potential NRF3 interactor. HSPA5 levels increased in the absence of NRF3, thereby promoting cancer cell survival and migration. Pharmacological inhibition or knock‐down of HSPA5 rescued the malignant features of NRF3‐deficient SCC cells in vitro and in preclinical mouse models. Together with the strong expression of HSPA5 in NRF3‐deficient cancer cells of SCC patients, these results suggest HSPA5 inhibition as a treatment strategy for these malignancies in stratified cancer patients.

In a hypertension prevalence survey of a stratified random sample of 1,000 households, 2,030 adults (aged 18 years and over) were interviewed and information on psychosocial variables collected. Among 359 hypertensives, there was a consistent relationship between indicators of difficulty in the social environment and dropout from treatment in women. Compared to those who remained in treatment, women who dropped out can be characterized as having less social support on the job, having less perceived spouse approval (if married), having a lower level of perceived access to supportive resources, and being more likely to report feeling pushed most or all of the time if they are homemakers. Relationships between indicators of social support and dropout from treatment in men were found only with support on the job, and for White men, with perceived friend approval.

In this study, the effects of psychosocial job stressors on the resting blood pressure (BP) of 112 black male workers were examined. The subjects resided in a rural, poor, predominantly black community in eastern North Carolina. The job stressors included unemployment, lack of job security, lack of job success, the perception that wages earned were too low for the work performed (and inhibited anger about unfair wages), and the perception that being black had hindered chances for achieving job success. The effect-modifying influence of on-the-job social support, and John Henryism, on several of these relationships was also examined. For systolic blood pressure, a main effect was observed for job security, and an interaction effect was observed for employment status and time of day of interview. For diastolic blood pressure, significant interactions were observed for job success and John Henryism, and for job success and the perception that being black had hindered chances for achieving job success. These findings further clarify under what conditions John Henryism may be associated with higher BPs in this sample of black men. These findings also shed light on the emotional pathways through which selected job stressors may influence resting BPs in these men.

The dissemination of resistant pathogens through food supply chains poses a significant public health risk, spanning from farm to fork. This study analyzed the distribution of Shiga toxin-producing Escherichia coli (STEC) across various sources within the animal-based food supply chain. A total of 500 samples were collected from livestock, poultry, the environment, fisheries, and dairy. Standard microbiological procedures were employed to isolate and identify E. coli isolates, which were further confirmed using MALDI-TOF and virulence-associated genes (VAGs) such as stx1, stx2, ompT, hylF, iutA, fimH, and iss. The phenotypic resistance patterns of the isolates were determined using the disc diffusion method, followed by molecular identification of antibiotic resistance genes (ARGs) through PCR. STEC were subjected to PCR-based O typing using specific primers for different O types. Overall, 154 (30.5%) samples were confirmed as E. coli, of which 77 (50%) were multidrug-resistant (MDR) E. coli. Among these, 52 (67.53%) isolates exhibited an array of VAGs, and 21 (40.38%) were confirmed as STEC based on the presence of stx1 and stx2. Additionally, 12 out of 52 (23.07%) isolates were identified as non-O157 STEC co-harbouring mcr-1 and blaNDM-1. O26 STEC was found to be the most prevalent among the non-O157 types. The results suggest that the detection of STEC in food supply chains may lead to serious health consequences, particularly in developing countries with limited healthcare resources.

Abstract Preclinical genetically engineered mouse models (GEMMs) of lung adenocarcinoma are invaluable for investigating molecular drivers of tumor formation, progression, and therapeutic resistance. However, histological analysis of these GEMMs requires significant time and training to ensure accuracy and consistency. To achieve a more objective and standardized analysis, we used machine learning to create GLASS-AI, a histological image analysis tool that the broader cancer research community can utilize to grade, segment, and analyze tumors in preclinical models of lung adenocarcinoma. GLASS-AI demonstrates strong agreement with expert human raters while uncovering a significant degree of unreported intratumor heterogeneity. Integrating immunohistochemical staining with high-resolution grade analysis by GLASS-AI identified dysregulation of Mapk/Erk signaling in high-grade lung adenocarcinomas and locally advanced tumor regions. Our work demonstrates the benefit of employing GLASS-AI in preclinical lung adenocarcinoma models and the power of integrating machine learning and molecular biology techniques for studying the molecular pathways that underlie cancer progression.

Abstract Background Metachromatic leukodystrophy (MLD) is a lysosomal storage disorder caused by mutations in the arylsulfatase A gene (ARSA) and categorized into three subtypes according to age of onset. The functional effect of most ARSA mutants remains unknown; better understanding of the genotype–phenotype relationship is required to support newborn screening (NBS) and guide treatment. Results We collected a patient data set from the literature that relates disease severity to ARSA genotype in 489 individuals with MLD. Patient-based data were used to develop a phenotype matrix that predicts MLD phenotype given ARSA alleles in a patient’s genotype with 76% accuracy. We then employed a high-throughput enzyme activity assay using mass spectrometry to explore the function of ARSA variants from the curated patient data set and the Genome Aggregation Database (gnomAD). We observed evidence that 36% of variants of unknown significance (VUS) in ARSA may be pathogenic. By classifying functional effects for 251 VUS from gnomAD, we reduced the incidence of genotypes of unknown significance (GUS) by over 98.5% in the overall population. Conclusions These results provide an additional tool for clinicians to anticipate the disease course in MLD patients, identifying individuals at high risk of severe disease to support treatment access. Our results suggest that more than 1 in 3 VUS in ARSA may be pathogenic. We show that combining genetic and biochemical information increases diagnostic yield. Our strategy may apply to other recessive diseases, providing a tool to address the challenge of interpreting VUS within genotype–phenotype relationships and NBS.

The utility of X-ray crystal structures determined under ambient-temperature conditions is becoming increasingly recognized. Such experiments can allow protein dynamics to be characterized and are particularly well suited to challenging protein targets that may form fragile crystals that are difficult to cryo-cool. Room-temperature data collection also enables time-resolved experiments. In contrast to the high-throughput highly automated pipelines for determination of structures at cryogenic temperatures widely available at synchrotron beamlines, room-temperature methodology is less mature. Here, the current status of the fully automated ambient-temperature beamline VMXi at Diamond Light Source is described, and a highly efficient pipeline from protein sample to final multi-crystal data analysis and structure determination is shown. The capability of the pipeline is illustrated using a range of user case studies representing different challenges, and from high and lower symmetry space groups and varied crystal sizes. It is also demonstrated that very rapid structure determination from crystals in situ within crystallization plates is now routine with minimal user intervention.

Objective: Public health surveillance is essential for improving community health. The Cardiac Arrest Registry to Enhance Survival (CARES) is a surveillance system for out-of-hospital cardiac arrest (OHCA). We describe results of the organized statewide implementation of Ohio CARES. Methods: We performed a retrospective analysis of CARES enactment in Ohio. Key elements included: establishment of statewide leadership, appointment of a dedicated coordinator, conversion to a statewide subscription, statewide dissemination of information, fundraising from internal and external stakeholders, and conduct of resuscitation academies. We identified all adult (≥18 years) OHCA reported in the registry during 2013–2020. We evaluated OHCA characteristics before (2013–2015) and after (2016–2019) statewide implementation using chi-square test. We evaluated trends in OHCA outcomes using the Cochran-Armitage test of trend. Results: Statewide CARES promotion increased participation from 2 (urban) to 136 (129 urban, 7 rural) EMS agencies. Covered population increased from 1.2 M (10% of state) to 4.8 M (41% of state). After statewide implementation, OHCA populations increased male (58.1% vs 60.8%, p

Abstract Flooding is one of the most common natural hazards, causing disastrous impacts worldwide. Stress-testing the global human-Earth system to understand the sensitivity of floodplains and population exposure to a range of plausible conditions is one strategy to identify where future changes to flooding or exposure might be most critical. This study presents a global analysis of the sensitivity of inundated areas and population exposure to varying flood event magnitudes globally for 1.2 million river reaches. Here we show that topography and drainage areas correlate with flood sensitivities as well as with societal behaviour. We find clear settlement patterns in which floodplains most sensitive to frequent, low magnitude events, reveal evenly distributed exposure across hazard zones, suggesting that people have adapted to this risk. In contrast, floodplains most sensitive to extreme magnitude events have a tendency for populations to be most densely settled in these rarely flooded zones, being in significant danger from potentially increasing hazard magnitudes given climate change.

Abstract Limited data significantly hinders our capability of biothreat assessment of novel bacterial strains. Integration of data from additional sources that can provide context about the strain can address this challenge. Datasets from different sources, however, are generated with a specific objective and which makes integration challenging. Here, we developed a deep learning-based approach called the neural network embedding model (NNEM) that integrates data from conventional assays designed to classify species with new assays that interrogate hallmarks of pathogenicity for biothreat assessment. We used a dataset of metabolic characteristics from a de-identified set of known bacterial strains that the Special Bacteriology Reference Laboratory (SBRL) of the Centers for Disease Control and Prevention (CDC) has curated for use in species identification. The NNEM transformed results from SBRL assays into vectors to supplement unrelated pathogenicity assays from de-identified microbes. The enrichment resulted in a significant improvement in accuracy of 9% for biothreat. Importantly, the dataset used in our analysis is large, but noisy. Therefore, the performance of our system is expected to improve as additional types of pathogenicity assays are developed and deployed. The proposed NNEM strategy thus provides a generalizable framework for enrichment of datasets with previously collected assays indicative of species.

Abstract Managing social‐ecological systems (SES) requires balancing the need to tailor actions to local heterogeneity and the need to work over large areas to accommodate the extent of SES. This balance is particularly challenging for policy since the level of government where the policy is being developed determines the extent and resolution of action. We make the case for a new research agenda focused on ecological federalism that seeks to address this challenge by capitalizing on the flexibility afforded by a federalist system of governance. Ecological federalism synthesizes the environmental federalism literature from law and economics with relevant ecological and biological literature to address a fundamental question: What aspects of SES should be managed by federal governments and which should be allocated to decentralized state governments? This new research agenda considers the bio‐geo‐physical processes that characterize state‐federal management tradeoffs for biodiversity conservation, resource management, infectious disease prevention, and invasive species control. Read the free Plain Language Summary for this article on the Journal blog.

Purpose The aim of the study was to evaluate the safety and effectiveness of transsplenic venous access closure. Materials and Methods Twenty patients (mean age: 51.8 years; range: 28–72), underwent 21 transsplenic venous access procedures over 4 years in this retrospective study. Comorbidities, active hemorrhage, anticoagulation, coagulation parameters, platelets, indications for transsplenic access, needle gauge, sheath size, variceal embolization method, tract embolization method, bleeding complications, and transfusion requirements and additional procedures to manage bleeding complications were recorded. Results Preprocedure comorbidities included portal hypertension (n = 18/20, 90%), portal vein thrombosis (n = 14/20, 70%), hemorrhage (n = 6/20, 30%), splenic vein thrombosis (n = 7/20, 35%), anticoagulation (n = 2/20, 10%), and sinistral portal hypertension (n = 2/20,10%). Mean baseline international normalized ratio was 1.3 (range: 1–1.9), platelets 122 (range: 18–492). Most common transsplenic access indications were gastric varices with nonpatent portosystemic shunt (n = 11/21, 52%) and portal vein targeting for transjugular intrahepatic portosystemic shunt (n = 8, 38%). Most common access sheath sizes were 4-French (n = 5, 24%) and 6-French (n = 6, 29%). Fifteen procedures (71%) involved variceal embolization. Transsplenic tracts were embolized with microfibrillar collagen alone (n = 7), coils and microfibrillar collagen (n = 8), or others (n = 6). Based on the Society of Interventional Radiology adverse event classification system, embolization complications included one major (splenic artery pseudoaneurysm and a splenic vein pseudoaneurysm) and three moderate (19%) adverse bleeding events, which required blood transfusion. Conclusion Transsplenic venous access tract embolization is a safe and moderately effective method to achieve tract hemostasis, with an overall clinical failure rate of 20%.

Incidence data from 17-year veterinary neoplasm surveillance and registration were reviewed. Most of the neoplastic cases diagnosed in Nigerian veterinary teaching hospitals (VTHs) were in the avian (49%) and canine species (44%). Fewer cases were recorded in the equine (3.2%), bovine (2.4%), ovine (1.5%), caprine (0.3%) and porcine (0.15%) species. Marek’s disease was the most prevalently diagnosed neoplastic disease of domestic animals in Nigerian VTHs from 2000–2017. Also, the Nigerian local breed had a higher mean distribution than any other dog breed and this was statistically significant (p < 0.05). Nearly all of the neoplastic cases diagnosed, were found in females (60.4%) and so the mean distribution of sex was statistically significant (p < 0.05). The digestive system, with 296 (46.25%) cases, was the anatomic location where the majority of the neoplastic cases were found. However, the mean distribution of different neoplastic anatomic sites was not statistically significant (p > 0.05). In conclusion, little emphasis is given to the appropriate diagnosis and recording of neoplastic cases that are diagnosed. The study provides information regarding the prevalence and distribution of tumours in different animal species consulted in Nigeria veterinary teaching hospitals. To illustrate all of this, ArcGIS software was used. Veterinary clinicians, pathologists and epidemiologists from Nigeria may benefit from the results of this study by freely accessing some specific data regarding the breed, the age group or the gender of some animal species diagnosed with different tumours.

The quantum rate-distortion function plays a fundamental role in quantum information theory, however there is currently no practical algorithm which can efficiently compute this function to high accuracy for moderate channel dimensions. In this paper, we show how symmetry reduction can significantly simplify common instances of the entanglement-assisted quantum rate-distortion problems. This allows us to better understand the properties of the quantum channels which obtain the optimal rate-distortion trade-off, while also allowing for more efficient computation of the quantum rate-distortion function regardless of the numerical algorithm being used. Additionally, we propose an inexact variant of the mirror descent algorithm to compute the quantum rate-distortion function with provable sublinear convergence rates. We show how this mirror descent algorithm is related to Blahut-Arimoto and expectation-maximization methods previously used to solve similar problems in information theory. Using these techniques, we present the first numerical experiments to compute a multi-qubit quantum rate-distortion function, and show that our proposed algorithm solves faster and to higher accuracy when compared to existing methods.

Purpose: Despite an increase in research on multidisciplinary team (MDT) meetings, the implementation of MDT-driven decision-making, ie, its fidelity, remains unstudied. We report fidelity using an observational protocol measuring degree to which MDTs in their weekly meetings in the UK adhere to 1) the stages of group decision-making as per the 'Orientation-Discussion-Decision-Implementation' framework, and 2) cancer guidelines on the composition and characteristics of their weekly meetings produced by the UK's Department of Health, UK's National Cancer Action Team, Cancer Research UK, World Health Organization, and The Expert Advisory Group on Cancer to the Chief Medical Officers of England and Wales. Patients and Methods: This is a prospective cross-sectional observational study of MDT meetings in the UK. Breast, colorectal, and gynecological cancer MDTs across three hospitals in the UK were video recorded over 12 weekly meetings, respectively, encompassing 822 case-reviews. A cross-section of 24 case-reviews was analysed with the main outcomes being adherence to the 'Orientation-Discussion-Decision-Implementation' framework, and the cancer guidelines. Results: Eight percent of case-reviews in the MDT meetings involved all five core disciplines including surgeons, oncologists, radiologists, histopathologists, and specialist cancer nurses, and 38% included four. The majority of case-reviews (54%) were between two (25%) or three (29%) disciplines only. Surgeons (83%) and oncologists (8%) most consistently engaged in all stages of decision-making. While all patients put forward for MDT meeting were actually reviewed, 4% of them either bypassed the orientation (case presentation), and 8% did not articulate the final decision to the entire team. Conclusion: We found that, despite being a set policy, cancer case-reviews in MDT meetings are not entirely MDT-driven, with more than half of the case-reviews not adhering to the cancer guidelines, and just over 10% not adhering to the group decision-making framework. The findings are in line with the UK recommendation on streamlining MDT meetings and could help decide how to re-organise the meetings to be most efficient. Implications are discussed in relation to quality and safety of care. [ABSTRACT FROM AUTHOR]

Purpose: To assess the incidence of adverse cerebrovascular events following shoulder arthroscopy in the beach-chair position when compared with the lateral position. Methods: Records of 5 shoulder surgeons were searched using Current Procedural Technology codes to identify patients who underwent arthroscopic shoulder surgery in both the beach-chair and lateral positions between 2015 and 2020. Using both Current Procedural Technology codes for cerebrovascular accident (CVA) imaging as well as the International Classification of Diseases, Tenth Revision, codes for CVA and late neurologic sequela, patient charts were analyzed in the 30-day postoperative period. The anesthesiology record also was queried for data regarding the blood pressure management intraoperatively, recording mean arterial pressures (MAPs), and vasopressor administration. Patient demographics, comorbidities, and complications were compared between the 2 cohorts using the Student 2-tailed t-test for continuous variables and χ2 analysis for categorical variables. Significance was set at P < .05. Results: There were 711 patients included in the analysis, with 471 in the beach-chair cohort and 240 in the lateral cohort. Baseline demographics were similar between groups, except for age and American Society of Anesthesiologists physical status classification, with the lateral group being significantly younger (P < .001) and lower American Society of Anesthesiologists physical status classification (P = .001) than the beach-chair group. Mean body mass index, history of CVA, transient ischemic attack, hypertension, and peripheral vascular disease were not significantly different. There were no documented CVAs in either cohort. There was no significant difference in the number of postoperative radiologic scans to evaluate for CVA (P = .77) or neurologic sequelae (P = .48) between groups. The beach-chair cohort had fewer instances of MAP

Background: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is responsible for the ongoing coronavirus disease 2019 (COVID-19) pandemic. Despite the fact that it affects all ages and profiles, some evidence shows that patients with comorbidities, including diabetes, obesity, and hypertension, are likely to be most affected. For chronic diseases, such as human immunodeficiency virus (HIV), information is scarce, with a few studies from high-income countries. This study reports predictors of SARS-CoV-2 seropositivity (IgG + IgM) among unvaccinated people living with HIV attending Bugando Medical Centre in Mwanza, Tanzania. Methodology: A cross-sectional, hospital-based study involving 150 HIV-infected patients was conducted at Bugando Medical Centre between June and July 2022. A pretested questionnaire was used to collect the participants’ information. Blood samples were collected and used for the detection of SARS-CoV-2 (IgM/IgG) antibodies by immunochromatographic assay. Data were analyzed using STATA version 15. Results: The mean age of the enrolled participants was 46.4 ± 11.1 years. The overall seropositivity (IgG + IgM) of SARS-CoV-2 antibodies was 79/150 (52.7%) [95% CI: 44.4–60.9]. Seropositivity of IgM only was 8/150 (5.3) [95% CI: 1.7–8.8], while that of IgG only was 61/150 (40.6%) [95% CI: 32.7–48.4]. Seropositivity of both IgG and IgM was observed in 10/150 (6.7%) patients. In a multivariate logistic regression analysis, history of sore throat (OR: 6.34, 95% CI: 2.305–18.351, p < 0.001), low CD4 count (OR: 0.99, 95% CI: 0.995–0.999, p = 0.004), and use of pit latrines (OR: 2.30, 95% CI: 1.122–4.738, p = 0.023) were independently associated with SARS-CoV-2 seropositivity. Conclusion: HIV-infected individuals with history of sore throat, low CD4 count, and use of pit latrines were more likely to be SARS-CoV-2 IgG seropositive. There is a need to routinely screen for SARS-CoV-2 infection among HIV-infected individuals to obtain comprehensive data regarding the interactions of the pathogens.

Abstract Background Indigenous youth worldwide continue to experience disproportional rates of poorer mental health and well-being compared to non-Indigenous youth. Mentoring has been known to establish favorable outcomes in many areas of health but is still in its early phases of research within Indigenous contexts. This paper explores the barriers and facilitators of Indigenous youth mentoring programs to improve mental health outcomes and provides evidence for governments’ response to the United Nations Declaration on the Rights of Indigenous Peoples. Methods A systematic search for published studies was conducted on PubMed, Embase, Scopus, CINAHL, and grey literature through Trove, OpenGrey, Indigenous HealthInfoNet, and Informit Indigenous Collection. All papers included in the search were peer-reviewed and published from 2007 to 2021. The Joanna Briggs Institute approaches to critical appraisal, data extraction, data synthesis, and confidence of findings were used. Results A total of eight papers describing six mentoring programs were included in this review; six papers were from Canada, and two originated from Australia. Studies included mentor perspectives (n = 4) (incorporating views of parents, carers, Aboriginal assistant teachers, Indigenous program facilitators, young adult health leaders, and community Elders), mentee perspectives (n = 1), and both mentor and mentee perspectives (n = 3). Programs were conducted nationally (n = 3) or within specific local Indigenous communities (n = 3) with varying mentor styles and program focus. Five synthesized findings were identified from the data extraction process, each consisting of four categories. These synthesized findings were: establishing cultural relevancy, facilitating environments, building relationships, facilitating community engagement, and leadership responsibilities, which were discussed in the context of extant mentoring theoretical frameworks. Conclusion Mentoring is an appropriate strategy for improving general well-being. However, more research is needed to explore program sustainability and maintaining outcomes in the long term.