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To evaluate the potential sources and current screening strategies for the multidrug-resistant fungal pathogen Candida auris in the US Military Health System (MHS).
Methods:
Utilizing the Multidrug-Resistant Organism Repository and Surveillance Network (MRSN), 6 instances of C. auris colonization or infection were identified within the MHS in 2024. Relevant medical and social history, drug susceptibilities, and next-generation genetic sequencing were obtained from MRSN and the electronic medical record. Hospital screening protocols for C. auris were reviewed in the affected facilities.
Results:
One case of C. auris infection and 5 cases of C. auris colonization in 2024 were identified in the MHS. Only 1 case of colonization was likely related to international travel; 5 patients had no recent travel history before infection or colonization. One patient was an active duty service member. Prior hospitalizations and infections were the most common risk factors present in each case. Two isolates had antimicrobial susceptibilities analyzed, both of which suggested resistance to fluconazole. Two of the 3 facilities had C. auris screening protocols in place to screen select individuals with risk factors; however, only 1 of the 6 cases presented was identified through these screening protocols. No cases of nosocomial transmission were found.
Conclusions:
C. auris remains a formidable threat to the MHS, with 6 cases identified in 3 treatment facilities, with 2 isolates demonstrating resistance to azoles. Screening protocols should reflect the domestic and international threats of this pathogen.
Natural remission from common mental disorders (CMDs), in the absence of intervention, varies greatly. The situation in India is unknown.
Aims
This study examined individual, village and primary health centre (PHC)-level determinants for remission across two rural communities in north and south India and reports natural remission rates.
Method
Using pre-intervention trial data from 44 PHCs in Andhra Pradesh and Haryana, adults ≥18 years were screened for CMDs. Screen-positive people (Patient Health Questionnaire-9 Item (PHQ9) or Generalised Anxiety Disorder-7 Item (GAD7) score ≥10, or a score ≥2 on the self-harm PHQ9 question) were re-screened after 5–7 months (mean). Remission was defined <5 scores on both PHQ9 and GAD7 and <2 score on self-harm. Multilevel Poisson regression models with random effects at individual, village and PHC levels were developed for each state to identify factors associated with remission. Time to re-screening was included as offset in regression models.
Results
Of 100 013 people in Andhra Pradesh and 69 807 people in Haryana, 2.4% and 7.1%, respectively, were screen positive. At re-screening, remission rate in Andhra Pradesh was 82.3% (95% CI 77.5–87.4%) and 59.4% (95% CI 55.7–63.3%) in Haryana. Being female, increasing age and higher baseline depression and anxiety scores were associated with lower remission rates. None of the considered village- and PHC-level factors were found to be associated with remission rate, after adjusting for individual-level factors.
Conclusion
Natural remission for CMDs vary greatly in two Indian states and are associated with complex, multilevel factors. Further research is recommended to better understand natural remission.
In acute ischemic stroke, a longer time from onset to endovascular treatment (EVT) is associated with worse clinical outcome. We investigated the association of clinical outcome with time from last known well to arrival at the EVT hospital and time from hospital arrival to arterial access for anterior circulation large vessel occlusion patients treated > 6 hours from last known well.
Methods:
Retrospective analysis of the prospective, multicenter cohort study ESCAPE-LATE. Patients presenting > 6 hours after last known well with anterior circulation large vessel occlusion undergoing EVT were included. The primary outcome was the modified Rankin Scale (mRS) score at 90 days. Secondary outcomes were good (mRS 0–2) and poor clinical outcomes (mRS 5–6) at 90 days, as well as the National Institutes of Health Stroke Scale at 24 hours. Associations of time intervals with outcomes were assessed with univariable and multivariable logistic regression.
Results:
Two hundred patients were included in the analysis, of whom 85 (43%) were female. 90-day mRS was available for 141 patients. Of the 150 patients, 135 (90%) had moderate-to-good collaterals, and the median Alberta Stroke Program Early CT Score (ASPECTS) was 8 (IQR = 7–10). No association between ordinal mRS and time from last known well to arrival at the EVT hospital (odds ratio [OR] = 1.01, 95% CI = 1.00–1.02) or time from hospital arrival to arterial access (OR = -0.01, 95% CI = -0.02–0.00) was seen in adjusted regression models.
Conclusion:
No relationship was observed between pre-hospital or in-hospital workflow times and clinical outcomes. Baseline ASPECTS and collateral status were favorable in the majority of patients, suggesting that physicians may have chosen to predominantly treat slow progressors in the late time window, in whom prolonged workflow times have less impact on outcomes.
Rapid tranquillisation – the parenteral administration of a sedating psychotropic – is frequently utilised to manage acute behavioural disturbances. Each mental health trust in England utilises independent guidelines for rapid tranquillisation, which vary geographically in both recommendations for therapeutic agents, as well as the format in which this information presented. Audits have identified that there is currently poor adherence to rapid tranquillisation protocol guidelines; this may be due to a lack of guideline clarity allowing for personal interpretation. This service evaluation aims to determine the clarity and uniformity of protocols outlined in mental health trust guidelines, in addition to analysing the outcomes of guideline testing to identify if there is consistency between policies, or whether outcomes varied depending on the trust guidelines used.
Methods
Five reviewers (of differing positions throughout clinical training) utilised 52 guidelines from each mental health trust in England, as well as Maudsley and NICE. These were assessed using the same fictional scenario, which simulated a common presentation in which the use of rapid tranquillisation is required. Reviewers deduced the most appropriate therapeutic agent according to the guideline, rated the clarity of each guideline and were invited to leave comments highlighting the guideline's useability.
Results
Seven different management plans were generated by the majority of respondents from the 52 guidelines. Lorazepam was the most frequently selected therapeutic agent. Guidelines with better subjective ratings of clarity had more agreement between reviewers, but full agreement between reviewers was only present for 10 out of 52 guidelines. For 11 guidelines, consensual agreement between reviewers was not reached. Qualitative analysis of comments identified the inclusion of past medical history, drug history and flow charts as positive sub-themes. Redundant language, contradictions and the suggestion to seek senior intervention before trialling a second agent were viewed negatively. Many guidelines did not sufficiently emphasise the need for performing an ECG before administering therapeutic agents, such as haloperidol, which may lead to potentially fatal arrhythmias.
Conclusion
There is no national consensus on the most appropriate rapid tranquillisation agents, with the available evidence being interpreted variously by different trusts and organisations. Poor guideline comprehensibility impacts clinician adherence and allows for personal preference to influence choice of drug. Clear guidelines utilising flow charts to succinctly outline relevant doses and absolute contraindications were viewed favourably by reviewers. The findings of this project highlights to relevant stakeholders the attributes that should be implemented when improving guidelines for the future.
Digital Mental Health Interventions (DMHIs) that meet the definition of a medical device are regulated by the Medicines and Healthcare products Regulatory Agency (MHRA) in the UK. The MHRA uses procedures that were originally developed for pharmaceuticals to assess the safety of DMHIs. There is recognition that this may not be ideal, as is evident by an ongoing consultation for reform led by the MHRA and the National Institute for Health and Care Excellence.
Aims
The aim of this study was to generate an experts’ consensus on how the medical regulatory method used for assessing safety could best be adapted for DMHIs.
Method
An online Delphi study containing three rounds was conducted with an international panel of 20 experts with experience/knowledge in the field of UK digital mental health.
Results
Sixty-four items were generated, of which 41 achieved consensus (64%). Consensus emerged around ten recommendations, falling into five main themes: Enhancing the quality of adverse events data in DMHIs; Re-defining serious adverse events for DMHIs; Reassessing short-term symptom deterioration in psychological interventions as a therapeutic risk; Maximising the benefit of the Yellow Card Scheme; and Developing a harmonised approach for assessing the safety of psychological interventions in general.
Conclusion
The implementation of the recommendations provided by this consensus could improve the assessment of safety of DMHIs, making them more effective in detecting and mitigating risk.
To assess cost-effectiveness of late time-window endovascular treatment (EVT) in a clinical trial setting and a “real-world” setting.
Methods:
Data are from the randomized ESCAPE trial and a prospective cohort study (ESCAPE-LATE). Anterior circulation large vessel occlusion patients presenting > 6 hours from last-known-well were included, whereby collateral status was an inclusion criterion for ESCAPE but not ESCAPE-LATE. A Markov state transition model was built to estimate lifetime costs and quality-adjusted life-years (QALYs) for EVT in addition to best medical care vs. best medical care only in a clinical trial setting (comparing ESCAPE-EVT to ESCAPE control arm patients) and a “real-world” setting (comparing ESCAPE-LATE to ESCAPE control arm patients). We performed an unadjusted analysis, using 90-day modified Rankin Scale(mRS) scores as model input and analysis adjusted for baseline factors. Acceptability of EVT was calculated using upper/lower willingness-to-pay thresholds of 100,000 USD/50,000 USD/QALY.
Results:
Two-hundred and forty-nine patients were included (ESCAPE-LATE:n = 200, ESCAPE EVT-arm:n = 29, ESCAPE control-arm:n = 20). Late EVT in addition to best medical care was cost effective in the unadjusted analysis both in the clinical trial and real-world setting, with acceptability 96.6%–99.0%. After adjusting for differences in baseline variables between the groups, late EVT was marginally cost effective in the clinical trial setting (acceptability:49.9%–61.6%), but not the “real-world” setting (acceptability:32.9%–42.6%).
Conclusion:
EVT for LVO-patients presenting beyond 6 hours was cost effective in the clinical trial setting and “real-world” setting, although this was largely related to baseline patient differences favoring the “real-world” EVT group. After adjusting for these, EVT benefit was reduced in the trial setting, and absent in the real-world setting.
This study aims to extract and characterize structures in fully developed pipe flow at a friction Reynolds number of $\textit {Re}_\tau = 12\,400$. To do so, we employ data-driven wavelet decomposition (DDWD) (Floryan & Graham, Proc. Natl Acad. Sci. USA, vol. 118, 2021, e2021299118), a method that combines features of proper orthogonal decomposition and wavelet analysis in order to extract energetic and spatially localized structures from data. We apply DDWD to streamwise velocity signals measured separately via a thermal anemometer at 40 wall-normal positions. The resulting localized velocity structures, which we interpret as being reflective of underlying eddies, are self-similar across streamwise extents of 40 wall units to one pipe radius, and across wall-normal positions from $y^+=350$ to $y/R=1$. Notably, the structures are similar in shape to Meyer wavelets. Projections of the data onto the DDWD wavelet subspaces are found to be self-similar as well, but in Fourier space; the bounds of self-similarity are the same as before, except streamwise self-similarity starts at a larger length scale of $450$ wall units. The evidence of self-similarity provided in this study lends further support to Townsend's attached eddy hypothesis, although we note that the self-similar structures are detected beyond the log layer and extend to large length scales.
Precision Medicine is an emerging approach for disease treatment and prevention that takes into account individual variability in genes, environment, and lifestyle. Autoimmune diseases are those in which the body’s natural defense system loses discriminating power between its own cells and foreign cells, causing the body to mistakenly attack healthy tissues. These conditions are very heterogeneous in their presentation and therefore difficult to diagnose and treat. Achieving precision medicine in autoimmune diseases has been challenging due to the complex etiologies of these conditions, involving an interplay between genetic, epigenetic, and environmental factors. However, recent technological and computational advances in molecular profiling have helped identify patient subtypes and molecular pathways which can be used to improve diagnostics and therapeutics. This review discusses the current understanding of the disease mechanisms, heterogeneity, and pathogenic autoantigens in autoimmune diseases gained from genomic and transcriptomic studies and highlights how these findings can be applied to better understand disease heterogeneity in the context of disease diagnostics and therapeutics.
Protecting all human rights of people with mental health conditions is globally important. However, to facilitate practical implementation of rights, it is often necessary to decide which of these rights should be given priority, especially when they conflict with each other.
Aims
The aim of the Priorities of Human Rights and Mental Health (PHRAME) project is to develop a replicable approach to establish a proposed set of high-priority human rights of people with mental health conditions, to facilitate practical decision-making and implementation of such rights.
Method
A two-stage Delphi-style study with stakeholders was conducted to generate a list of key rights of people with mental health conditions, and rank priorities among these rights in terms of feasibility, urgency and overall importance.
Results
The stakeholders in this study consistently ranked three rights as top priorities: (a) the right to freedom from torture, cruel inhuman treatment and punishment; (b) the right to health and access to services/treatment; and (c) the right to protection and safety in emergency situations.
Conclusions
Insights from PHRAME can support decision-making about the priority to be given to human rights, to guide practical action. This approach can also be used to assess how human rights are prioritised in different settings and by different stakeholders. This study identifies the clear need for a central voice for people with lived experience in research and implementation of decisions about the priority of human rights, ensuring that action respects the opinion of people whose rights are directly affected.
Mathematical and computational decision models are powerful tools for studyingchoice behavior, and hundreds of distinct decision models have been proposedover the long interdisciplinary history of decision making research. Theexistence of so many models has led to theoretical fragmentation and redundancy,obscuring key insights into choice behavior, and preventing consensus about theessential properties of preferential choice. We provide a synthesis of formalmodels of risky, multiattribute, and intertemporal choice, three importantdomains in decision making. We identify recurring insights discovered byscholars of different generations and different disciplines across these threedomains, and use these insights to classify over 150 existing models asinvolving various combinations of eight key mathematical and computationalproperties. These properties capture the main avenues of theoretical developmentin decision making research and can be used to understand the similarities anddifferences between decision models, aiding both theoretical analyses andempirical tests.
Avian influenza (AI) is an important disease that has significant implications for animal and human health. High pathogenicity AI (HPAI) has emerged in consecutive seasons within the UK to cause the largest outbreaks recorded. Statutory measures to control outbreaks of AI virus (AIV) at poultry farms involve disposal of all birds on infected premises. Understanding of the timing of incursions into the UK could facilitate decisions on improved responses. During the autumnal migration and wintering period (autumn 2019– spring 2020), three active sampling approaches were trialled for wild bird species considered likely to be involved in captive AI outbreaks with retrospective laboratory testing undertaken to define the presence of AIV.
Faecal sampling of birds (n = 594) caught during routine and responsive mist net sampling failed to detect AIV. Cloacal sampling of hunter-harvested waterfowl (n = 146) detected seven positive samples from three species with the earliest detection on the 17 October 2020. Statutory sampling first detected AIV in wild and captive birds on 3 November 2020. We conclude that hunter sourced sampling of waterfowl presents an opportunity to detect AI within the UK in advance of outbreaks on poultry farms and allow for early intervention measures to protect the national poultry flock.
What can we hope to learn about brains from the free energy principle? In adopting the “primordial soup” physical model, Bruineberg et al. perpetuate the unsupported notion that the free-energy principle has a meaningful physical – and neuronal – interpretation. We examine how minimization of free energy arises in physical contexts, and what this can and cannot tell us about brains.
Pain, depression, anxiety, and psychosis are common non-cognitive symptoms of dementia. They are often underdiagnosed and can cause significant distress and carer strain. Numerous standardised assessment tools (SATs) exist and are recommended for the assessment of non-cognitive symptoms of dementia. Anecdotal evidence suggests that SATs are used rarely and inconsistently. This study aims to explore which SATs to detect non-cognitive symptoms of dementia are recommended in local guidelines and used in practice across different organisations. Secondary aims were to identify barriers and facilitators to using these tools.
Methods
This service evaluation is cross-sectional in design. A questionnaire was developed and distributed to clinicians working with patients with advanced dementia in any setting, across four geographical locations (Leeds, Bradford, Hull, and Cambridge). Quantitative data were analysed descriptively, and qualitative data from free-text comments were interpreted using thematic analysis.
Results
135 professionals from a range of backgrounds and clinical settings completed the survey. Respondents indicated that SATs for non-cognitive symptoms in dementia were rarely used or recommended. Respondents were unaware of the existence of most SATs listed. 80% respondents felt that SATs were a useful adjunct to a structured clinical assessment. The most recommended tool was the Abbey Pain Scale, with 41 respondents indicating its recommendation by their Trust. Perceived facilitators to using SATs include education and training, reliable IT systems and accessibility. Barriers include lack of time and training.
Conclusion
Numerous SATs are available for use in dementia, but they are rarely recommended in local policy or used in practice. There appears to be a lack of consensus on which, if any, are superior diagnostic tools, and on how or when they should be applied.
OBJECTIVES/GOALS: Recent research has attempted to identify diagnostic, prognostic, and predictive biomarkers, however, currently, no biomarkers can accurately diagnose GBC and predict patients prognosis. Using machine learning, we can utilize high-throughput RNA sequencing with clinicopathologic data to develop a predictive tool for GBC prognosis. METHODS/STUDY POPULATION: Current predictive models for GBC outcomes often utilize clinical data only. We aim to build a superior algorithm to predict overall survival in GBC patients with advanced disease, using machine learning approaches to prioritize biomarkers for GBC prognosis. We have identified over 80 fresh frozen GBC tissue samples from Rochester, Minnesota, Daegu, Korea, Vilnius, Lithuania, and Calgary, Canada. We will perform next-generation RNA sequencing on these tissue samples. The patients clinical, pathologic and survival data will be abstracted from the medical record. Random forests, support vector machines, and gradient boosting machines will be applied to train the data. Standard 5-fold cross validation will be used to assess performance of each ML algorithm. RESULTS/ANTICIPATED RESULTS: Our preliminary analysis of next generation RNA sequencing from 18 GBC tissue samples identified recurrent mutations in genes enriched in pathways in cytoskeletal signaling, cell organization, cell movement, extracellular matrix interaction, growth, and proliferation. The top three most significantly altered pathways, actin cytoskeleton signaling, hepatic fibrosis/hepatic stellate cell activation, and epithelial adherens junction signaling, emphasized a molecular metastatic and invasive fingerprint in our patient cohort. This molecular fingerprint is consistent with the previous knowledge of the highly metastatic nature of gallbladder tumors and is also manifested physiologically in the patient cohort. DISCUSSION/SIGNIFICANCE: Integrative analysis of molecular and clinical characterization of GBC has not been fully established, and minimal improvement has been made to the survival of these patients. If overall survival can be better predicted, we can gain a greater understanding of key biomarkers driving the tumor phenotype.
UN Security Council Resolution 1373 is rightly viewed as the most significant international instrument pertaining to countering terrorism. Two features of the resolution are of concern to us: the sharing of security intelligence and other information, and, restrictions to human mobility. These two dimensions of global counterterrorism dovetail within the dark underbelly of the securitization of migration. There have been several high-profile instances where the United Kingdom and Canada have been directly involved in deportation to torture. Victims have faced numerous obstacles securing remedies for human rights violations. Perhaps most significant is the unwillingness of states to disclose relevant information during civil litigation, owing to national security or more broadly public interest privilege.
The United Kingdom has approached this problem by instituting “Closed Material Proceedings” (CMPs), where courts may base decisions on secret evidence, with the benefit of security-cleared Special Advocates mandated to represent the interests of plaintiffs. Canadian authorities have considered similar measures, having a rich history of secret hearings. Clearly, the use of secret evidence raises serious rule of law issues, as well as many practical, professional, and ethical challenges. This chapter explores these issues in the context of civil litigation of state responsibility for torture and other human rights abuses. As part of an ongoing socio-legal study on CMP in Canada and the UK, this chapter presents documentary and empirical findings, including interviews with judges, Special Advocates, and court administrators in both jurisdictions.
The 2020 update of the Canadian Stroke Best Practice Recommendations (CSBPR) for the Secondary Prevention of Stroke includes current evidence-based recommendations and expert opinions intended for use by clinicians across a broad range of settings. They provide guidance for the prevention of ischemic stroke recurrence through the identification and management of modifiable vascular risk factors. Recommendations address triage, diagnostic testing, lifestyle behaviors, vaping, hypertension, hyperlipidemia, diabetes, atrial fibrillation, other cardiac conditions, antiplatelet and anticoagulant therapies, and carotid and vertebral artery disease. This update of the previous 2017 guideline contains several new or revised recommendations. Recommendations regarding triage and initial assessment of acute transient ischemic attack (TIA) and minor stroke have been simplified, and selected aspects of the etiological stroke workup are revised. Updated treatment recommendations based on new evidence have been made for dual antiplatelet therapy for TIA and minor stroke; anticoagulant therapy for atrial fibrillation; embolic strokes of undetermined source; low-density lipoprotein lowering; hypertriglyceridemia; diabetes treatment; and patent foramen ovale management. A new section has been added to provide practical guidance regarding temporary interruption of antithrombotic therapy for surgical procedures. Cancer-associated ischemic stroke is addressed. A section on virtual care delivery of secondary stroke prevention services in included to highlight a shifting paradigm of care delivery made more urgent by the global pandemic. In addition, where appropriate, sex differences as they pertain to treatments have been addressed. The CSBPR include supporting materials such as implementation resources to facilitate the adoption of evidence into practice and performance measures to enable monitoring of uptake and effectiveness of recommendations.
To assess the frequency of prescription of psychotropic medication in patients with a primary diagnosis of emotionally unstable personality disorder (EUPD) following admission to Clock View Hospital, an inpatient unit in Mersey Care NHS Foundation Trust.
Method
A retrospective analysis of the electronic (RiO) record of 50 patients discharged from Clock View Hospital between 1 January 2020 and 1 November 2020 was performed to assess prescribing practice.
Twenty-five patients with a diagnosis of EUPD and no associated psychiatric comorbidities were included in the sample, as well as 25 patients with a diagnosis of EUPD and associated psychiatric comorbidities.
Result
80% of the 25 patients with EUPD and associated psychiatric comorbidities were prescribed psychotropic medication prior to admission to hospital (56% an antidepressant, 24% a mood stabiliser, 60% an antipsychotic and 8% a benzodiazepine). 64% of patients were prescribed two or more psychotropic medications. 28% were initiated on new psychotropic medications following admission. For four of the seven prescriptions commenced on psychotropic medication, prescribing practice was as advised in Mersey Care's EUPD guidelines.
Of the 25 patients with EUPD and no associated psychiatric comorbidities, 96% of the patients were prescribed psychotropic medication prior to admission to hospital (56% an antidepressant, 20% a mood stabiliser, 72% an antipsychotic and 12% a benzodiazepine). 68% of patients were prescribed two or more psychotropic medications. Following admission, 28% of patients were initiated on new regular psychotropic medications. For five of the eight prescriptions for new psychotropic medication, prescribing practice was as advised in Mersey Care's EUPD guidelines.
78% of the 50 patients were prescribed as required (PRN) psychotropic medication. In 21 patients, PRN medication was prescribed for longer than one week.
Conclusion
There is a higher rate of prescribing of antipsychotic prescription in those EUPD patients with no psychiatric comorbidities compared to associated psychiatric comorbidities (72% vs 60%). Surprisingly, there was a lower rate of psychotropic polypharmacy in those with psychiatric comorbidities.
Use of PRN psychotropic medication for longer than a week was higher in those patients with psychiatric comorbidities compared to those without psychiatric comorbidities (58% vs 50%). Benzodiazepines were overwhelmingly the most consistently prescribed PRN medication for patients with EUPD.
One action to consider would be highlighting the importance of trialling psychologically-minded interventions and supportive psychotherapy prior to initiation of psychotropic medication. There also needs to be consideration to use of the sedative antihistamine promethazine as a first-line PRN medication for acute agitation.