Study of High-Transverse-Momentum Higgs Boson Production in Association with a Vector Boson in the qqbb Final State with the ATLAS Detector

This Letter presents the first study of Higgs boson production in association with a vector boson (V=W or Z) in the fully hadronic qqbb final state using data recorded by the ATLAS detector at the LHC in proton-proton collisions at sqrt[s]=13  TeV and corresponding to an integrated luminosity of 137  fb^{-1}. The vector bosons and Higgs bosons are each reconstructed as large-radius jets and tagged using jet substructure techniques. Dedicated tagging algorithms exploiting b-tagging properties are used to identify jets consistent with Higgs bosons decaying into bb[over ¯]. Dominant backgrounds from multijet production are determined directly from the data, and a likelihood fit to the jet mass distribution of Higgs boson candidates is used to extract the number of signal events. The VH production cross section is measured inclusively and differentially in several ranges of Higgs boson transverse momentum: 250-450, 450-650, and greater than 650 GeV. The inclusive signal yield relative to the standard model expectation is observed to be μ=1.4_{-0.9}^{+1.0} and the corresponding cross section is 3.1±1.3(stat)_{-1.4}^{+1.8}(syst)  pb.

Measurement of the Centrality Dependence of the Dijet Yield in p+Pb Collisions at sqrt[s_{NN}]=8.16 TeV with the ATLAS Detector

ATLAS measured the centrality dependence of the dijet yield using 165  nb^{-1} of p+Pb data collected at sqrt[s_{NN}]=8.16  TeV in 2016. The event centrality, which reflects the p+Pb impact parameter, is characterized by the total transverse energy registered in the Pb-going side of the forward calorimeter. The central-to-peripheral ratio of the scaled dijet yields, R_{CP}, is evaluated, and the results are presented as a function of variables that reflect the kinematics of the initial hard parton scattering process. The R_{CP} shows a scaling with the Bjorken x of the parton originating from the proton, x_{p}, while no such trend is observed as a function of x_{Pb}. This analysis provides unique input to understanding the role of small proton spatial configurations in p+Pb collisions by covering parton momentum fractions from the valence region down to x_{p}∼10^{-3} and x_{Pb}∼4×10^{-4}.

Search for New Phenomena in Two-Body Invariant Mass Distributions Using Unsupervised Machine Learning for Anomaly Detection at sqrt[s]=13 TeV with the ATLAS Detector

Searches for new resonances are performed using an unsupervised anomaly-detection technique. Events with at least one electron or muon are selected from 140  fb^{-1} of pp collisions at sqrt[s]=13  TeV recorded by ATLAS at the Large Hadron Collider. The approach involves training an autoencoder on data, and subsequently defining anomalous regions based on the reconstruction loss of the decoder. Studies focus on nine invariant mass spectra that contain pairs of objects consisting of one light jet or b jet and either one lepton (e,μ), photon, or second light jet or b jet in the anomalous regions. No significant deviations from the background hypotheses are observed. Limits on contributions from generic Gaussian signals with various widths of the resonance mass are obtained for nine invariant masses in the anomalous regions.

Rapid systematic review of interventions to improve antenatal screening rates for syphilis, hepatitis B, and HIV in low- and middle-income countries

BACKGROUND

Infectious diseases including syphilis, HIV, and hepatitis B are major contributors to maternal and neonatal morbidity and mortality worldwide, especially in low- and middle-income countries (LMICs). The World Health Organization has prioritized elimination of vertical transmission of these three diseases.

OBJECTIVES

To rapidly assess the impact of interventions designed to improve antenatal screening rates for syphilis, HIV, and hepatitis B in LMICs and to identify areas for future implementation research.

SEARCH STRATEGY

A comprehensive search was conducted across PubMed, Embase, and EconLit, targeting articles published between January 1, 2013, and June 27, 2023.

SELECTION CRITERIA

We included quantitative interventional studies in English, involving pregnant adults (15 years or older) from LMICs. Exclusions were studies based in high-income countries, qualitative studies, or those investigating accuracy of diagnostic methods.

DATA COLLECTION AND ANALYSIS

From an initial 5549 potential studies, 27 were finalized for review after various screening stages. Data extraction covered aspects such as study design, intervention details, and outcomes. Findings were qualitatively synthesized within a systems thinking framework.

MAIN RESULTS

The interventions assessed varied in terms of geographic locations, health care system levels, and modalities. The review highlighted the effectiveness of interventions such as community health interventions, service quality improvements, and financial incentives.

CONCLUSIONS

The study underscores the potential of specific interventions in enhancing antenatal screening rates in LMICs. However, there is a discernible research gap concerning hepatitis B. The findings emphasize the importance of capacity building and health systems strengthening in public health interventions.

Observation of WZγ Production in pp Collisions at sqrt[s]=13 TeV with the ATLAS Detector

This Letter reports the observation of WZγ production and a measurement of its cross section using 140.1±1.2  fb^{-1} of proton-proton collision data recorded at a center-of-mass energy of 13 TeV by the ATLAS detector at the Large Hadron Collider. The WZγ production cross section, with both the W and Z bosons decaying leptonically, pp→WZγ→ℓ^{'}^{±}νℓ^{+}ℓ^{-}γ (ℓ^{(^{'})}=e, μ), is measured in a fiducial phase-space region defined such that the leptons and the photon have high transverse momentum and the photon is isolated. The cross section is found to be 2.01±0.30(stat)±0.16(syst)  fb. The corresponding standard model predicted cross section calculated at next-to-leading order in perturbative quantum chromodynamics and at leading order in the electroweak coupling constant is 1.50±0.06  fb. The observed significance of the WZγ signal is 6.3σ, compared with an expected significance of 5.0σ.

Fifty years of environmental progress for United States dairy farms

Dairy farms in the United States (US) have changed in many ways over the past 50 years. Milk production efficiency has increased greatly with about 30% fewer cows producing about twice the amount of milk today. Other improvements include increases in crop yields, fuel efficiency of farm equipment and efficiency in producing most resources used on farms (electricity, fuel, fertilizer, etc.). These improvements have led to changes in the environmental impact of farms. Through simulation of representative dairy farms in 1971 and 2020, changes in nutrient losses and farmgate life cycle assessments of greenhouse gas (GHG) emissions, fossil energy use, and blue (ground and surface) water use were determined for 6 regions and the US For all environmental metrics studied, intensities expressed per unit of fat and protein corrected milk produced were reduced, but the total impacts over all farms or milk produced increased for 5 of the 13 environmental metrics. Reductions in the impacts of dairy farms in the eastern US were offset by large increases in western regions because of a major increase in cow numbers in the west. The national average intensity of GHG emissions decreased by 42%, which gave just a 14% increase in the total GHG emission of all dairy farms over the 50-yr period. The intensity of fossil energy use decreased by 54% with the total for all farms decreasing 9%. Water use related to milk production decreased in intensity by 28%, but due to the large increase in dairy production in the dry western regions with greater dependence on irrigated feed crops, total blue water use increased 42%. Major pathways of nitrogen loss included ammonia volatilization, leaching, and denitrification, where total ammonia emissions related to US dairy farms increased 29% while leaching losses decreased by 39% with little change in nitrous oxide emission. Simulated nitrogen and phosphorus runoff losses totaled for all dairy farms decreased 27 to 51% through more efficient fertilizer use, reduced tillage, and greater use of cover crops. Emissions of methane and reactive non-methane volatile organic compounds increased 32% and 53%, respectively, due to greater use of long-term manure storage and silage stored in bunkers and piles. Although much progress has been made in improving production efficiency, continued improvement with new strategies and technologies are needed to meet the demand for dairy products while mitigating total environmental impacts, particularly in view of projected climate variability.

"Time Saved" Calculations to Improve Decision-Making in Progressive Disease Studies

BACKGROUND

Disease modifying therapies (DMTs) may be most beneficial in early disease, when progression is slow and changes small, with clinical relevance difficult to interpret.

OBJECTIVES

Time component tests (TCTs) translate differences between treatments from mean change, vertical distance between longitudinal trajectories, into intuitively understood time saved, horizontal distance between trajectories, which can be readily combined across endpoints in a global TCT (gTCT).

DESIGN

The value of composites, time savings estimates, and combination scores to optimize measurement and interpretation of DMTs are demonstrated, along with construction details and simulation studies.

SETTING

TCT methods were applied to a randomized phase II clinical trial.

PARTICIPANTS

Patients with early Alzheimer's disease (N=332).

INTERVENTION

Three treatment groups with AFFITOPE® AD02 and two control groups with aluminum oxyhydroxide, AD04.

MEASUREMENTS

The co-primary efficacy outcomes were an adapted ADAS-Cog (aADAS) and adapted ADCS-ADL (aADL), which were optimized composite scales specific to cognitive and functional domains. A composite based on these two scores was the study's prespecified primary outcome. The CDR-sb and standard non-adapted ADCS-ADL and ADAS-Cog scales were prespecified secondary outcomes.

RESULTS

The AD04 2 mg group showed some statistically significant effects compared with other study arms. It is unclear whether the observed 3.8-point difference on the composite is clinically meaningful. TCT results show a time savings of 11 months in an 18-month study with AD04 2 mg.

CONCLUSION

The relevance of 11 months saved is more universally understood than a mean difference of 3.8 points in the composite outcome. These results suggest that a combination of a composite approach and a time savings interpretation offers a powerful approach for detecting and interpreting disease modifying effects.

Combined Measurement of the Higgs Boson Mass from the H→γγ and H→ZZ^{*}→4ℓ Decay Channels with the ATLAS Detector Using sqrt[s]=7, 8, and 13 TeV pp Collision Data

A measurement of the mass of the Higgs boson combining the H→ZZ^{*}→4ℓ and H→γγ decay channels is presented. The result is based on 140  fb^{-1} of proton-proton collision data collected by the ATLAS detector during LHC run 2 at a center-of-mass energy of 13 TeV combined with the run 1 ATLAS mass measurement, performed at center-of-mass energies of 7 and 8 TeV, yielding a Higgs boson mass of 125.11±0.09(stat)±0.06(syst)=125.11±0.11  GeV. This corresponds to a 0.09% precision achieved on this fundamental parameter of the Standard Model of particle physics.

Search for Dark Photons in Rare Z Boson Decays with the ATLAS Detector

A search for events with a dark photon produced in association with a dark Higgs boson via rare decays of the standard model Z boson is presented, using 139  fb^{-1} of sqrt[s]=13  TeV proton-proton collision data recorded by the ATLAS detector at the Large Hadron Collider. The dark boson decays into a pair of dark photons, and at least two of the three dark photons must each decay into a pair of electrons or muons, resulting in at least two same-flavor opposite-charge lepton pairs in the final state. The data are found to be consistent with the background prediction, and upper limits are set on the dark photon's coupling to the dark Higgs boson times the kinetic mixing between the standard model photon and the dark photon, α_{D}ϵ^{2}, in the dark photon mass range of [5, 40] GeV except for the ϒ mass window [8.8, 11.1] GeV. This search explores new parameter space not previously excluded by other experiments.

Measurement of the Sensitivity of Two-Particle Correlations in pp Collisions to the Presence of Hard Scatterings

A key open question in the study of multiparticle production in high-energy pp collisions is the relationship between the "ridge"-i.e., the observed azimuthal correlations between particles in the underlying event that extend over all rapidities-and hard or semihard scattering processes. In particular, it is not known whether jets or their soft fragments are correlated with particles in the underlying event. To address this question, two-particle correlations are measured in pp collisions at sqrt[s]=13  TeV using data collected by the ATLAS experiment at the LHC, with an integrated luminosity of 15.8  pb^{-1}, in two different configurations. In the first case, charged particles associated with jets are excluded from the correlation analysis, while in the second case, correlations are measured between particles within jets and charged particles from the underlying event. Second-order flow coefficients, v_{2}, are presented as a function of event multiplicity and transverse momentum. These measurements show that excluding particles associated with jets does not affect the measured correlations. Moreover, particles associated with jets do not exhibit any significant azimuthal correlations with the underlying event, ruling out hard processes contributing to the ridge.

Observation of an Excess of Dicharmonium Events in the Four-Muon Final State with the ATLAS Detector

A search is made for potential ccc[over ¯]c[over ¯] tetraquarks decaying into a pair of charmonium states in the four muon final state using proton-proton collision data at sqrt[s]=13  TeV, corresponding to an integrated luminosity of 140  fb^{-1} recorded by the ATLAS experiment at LHC. Two decay channels, J/ψ+J/ψ→4μ and J/ψ+ψ(2S)→4μ, are studied. Backgrounds are estimated based on a hybrid approach involving Monte Carlo simulations and data-driven methods. Statistically significant excesses with respect to backgrounds dominated by the single parton scattering are seen in the di-J/ψ channel consistent with a narrow resonance at 6.9 GeV and a broader structure at lower mass. A statistically significant excess is also seen in the J/ψ+ψ(2S) channel. The fitted masses and decay widths of the structures are reported.

Dementia and the prison population: identifying need

Older adults are the fastest growing group within the UK prison population yet there continues to be a lack of national strategy to ensure consistent care is provided to this group, in line with the general population. The number of older adults with dementia is also rising globally however the prevalence of dementia in prisons remains largely unknown. The impact of dementia on older adults in prison is also largely unexplored. Subsequently a review by Brooke et al. 2020 was undertaken to identify prevalence of dementia in the UK prison population and to explore how such prisoners are assessed, diagnosed, treated and supported. This article critically appraises and evaluates the systematic review by Brooke et al. 2020, and expands upon the findings in context to practice.

1074. Surveillance of SARS-CoV-2 variants of concern (VOC) in hospital wastewater (WW) and its correlation with hospitalized cases of COVID-19 and the occurrence of outbreaks

Background

WW surveillance enables real time monitoring of SARS-CoV-2 burden in defined sewer catchment areas. Here, we assessed the occurrence of total, Delta and Omicron SARS-CoV-2 RNA in sewage from three tertiary-care hospitals in Calgary, Canada.

Methods

Nucleic acid was extracted from hospital (H) WW using the 4S-silica column method. H-1 and H-2 were assessed via a single autosampler whereas H-3 required three separate monitoring devices (a-c). SARS-CoV-2 RNA was quantified using two RT-qPCR approaches targeting the nucleocapsid gene; N1 and N200 assays, and the R203K/G204R and R203M mutations. Assays were positive if Cq< 40. Cross-correlation function analyses (CCF) was performed to determine the time-lagged relationships between WW signal and clinical cases. SARS-CoV-2 RNA abundance was compared to total hospitalized cases, nosocomial-acquired cases, and outbreaks. Statistical analyses were conducted using R.

Results

Ninety-six percent (188/196) of WW samples collected between Aug/21-Jan/22 were positive for SARS-CoV-2. Omicron rapidly supplanted Delta by mid-December and this correlated with lack of Delta-associated H-transmissions during a period of frequent outbreaks. The CCF analysis showed a positive autocorrelation between the RNA concentration and total cases, where the most dominant cross correlations occurred between -3 and 0 lags (weeks) (Cross-correlation values: 0.75, 0.579, 0.608, 0.528 and 0.746 for H-1, H-2, H-3a, H-3b and H-3c; respectively). VOC-specific assessments showed this positive association only to hold true for Omicron across all hospitals (cross-correlation occurred at lags -2 and 0, CFF value range between 0.648 -0.984). We observed a significant difference in median copies/ml SARS-CoV-2 N-1 between outbreak-free periods vs outbreaks for H-1 (46 [IQR: 11-150] vs 742 [IQR: 162-1176], P< 0.0001), H-2 (24 [IQR: 6-167] vs 214 [IQR: 57-560], P=0.009) and H-3c (2.32 [IQR: 0-19] vs 129 [IQR: 14-274], P=0.001).

Conclusion

WW surveillance is a powerful tool for early detection and monitoring of circulating SARS-CoV-2 VOCs. Total SARS-CoV-2 and VOC-specific WW signal correlated with hospitalized prevalent cases of COVID-19 and outbreak occurrence.

Disclosures

All Authors: No reported disclosures.

404. Surveillance of Clostridioides difficile Burden in Hospitals Through Wastewater Analysis

Background

New tools capable of dynamic assessment of the varying burden of Clostridioides difficile infections are required to mitigate increased patient morbidity, mortality, and health costs. Wastewater (WW)-based epidemiology (WBE) is an emerging science, enabling comprehensive, inclusive, and unbiased assessment of populations, spatially and temporally. We sought to detect, quantify and track C. difficile across a range of scales using WBE.

Methods

WW collected from two hospitals; the Rockyview General Hospital (RGH; 600 beds) and Peter Lougheed Centre (PLC; 550 beds) both based in Calgary, were compared to that from a municipal WW Treatment Plant (WWTP) in Calgary, Canada. DNA was extracted from pellets collected after WW centrifugation. A multiplexed quantitative PCR assay was used to quantify the abundance of C. difficile 16S rRNA and toxin A (tcdA) genes. These were then assessed as raw values or as normalized ratios to three fecal biomarker genes: total bacterial 16S rRNA, human 18S rRNA, and Bacteroides HF183 16S rRNA. Kruskal-Wallis and Mann-Whitney tests were performed using RStudio and GraphPad Prism (version 9.3.1).

Results

Eight weekly samples collected from the RGH demonstrated significant changes in the levels of total C. difficile 16S rRNA gene and tcdA over time (P=0.0004 and P=0.0005, respectively, Kruskal-Wallis). Similar trends in total C. difficile and tcdA burden over time were observed when gene copies were normalized with the three fecal biomarker genes. Over a separate 13-week comparison, C. difficile and tcdA gene target abundance was greater in hospital WW (RGH and PLC) than in community-based samples from the WWTP (P=0.048 and P=0.012, respectively, Mann-Whitney). There was no significant difference in C. difficile and tcdA gene target abundance between RGH and PLC (P=0.896 and P=0.343, respectively, Mann-Whitney).

Clostridioides difficile genes in wastewater measured by quantitative PCR.

C. difficile 16S rRNA and tcdA gene abundance normalized as a ratio against total bacterial load (16S rRNA) varies over time and is markedly increased in hospitals relative to a municipal wastewater treatment plant in Calgary, Canada.

Conclusion

WW surveillance is a powerful tool that can monitor the burden the C. difficile across a range of scales in real-time. This tool could augment infection prevention and control and antimicrobial stewardship programs to better understand factors that contribute to colonization and infection.

Disclosures

Thomas J. Louie, MD, Artugen: Advisor/Consultant|Artugen: Grant/Research Support|Crestone: Advisor/Consultant|Crestone: Grant/Research Support|Finch Therapeutics: Advisor/Consultant|Finch Therapeutics: Grant/Research Support|Rebiotix: Advisor/Consultant|Rebiotix: Grant/Research Support|Seres Therapeutics: Advisor/Consultant|Seres Therapeutics: Grant/Research Support|summit plc: Advisor/Consultant|summit plc: Grant/Research Support|Vedanta Biosciences: Advisor/Consultant|Vedanta Biosciences: Grant/Research Support.

102 Postoperative Haemoglobin Monitoring in Neck of Femur Fracture Patients. Can a Simple Teaching Session Improve Patient Safety on the Orthopaedic Ward?

Aim

Patients who suffer neck of femur fractures (NOF#) are typically frail and at risk of postoperative anaemia which can contribute to a high mortality in this demographic.

This QiP reviewed how well postoperative haemoglobin (Hb) was being monitored on a Orthopaedic unit and assessed the effectiveness of a teaching session to improve this.

A secondary measure was to compare day 1 and day 3 Hb to establish an evidence base for the timing of postoperative Hb monitoring.

Method

Two cycles (1st loop: 8/3/21–21/3/21, n = 21. 2nd loop:3/7/21–16/7/21, n=15) were performed either side of a teaching session.

Day 1 and day 3 post-op Hb were recorded.

Inclusion criteria were patients who fitted NOF# best practice tariffs.

Results

Pre-intervention saw 90% of patients have day 1 Hb and 52% have day 3 Hb taken, this increased to 93% and 67% post intervention.

81% of patients showed a Hb drop between day 1 and day 3 (mean = 11 g/dL), with 90% of day 1 bloods already below reference range.

Conclusions

We demonstrated that a teaching session highlighting the importance of Hb monitoring in this patient demographic can improve the monitoring of postoperative haemoglobin and thus improve patient safety.

Secondly, a Hb drop is possible from day 1 to day 3 and therefore a day 1 Hb should not be relied on.

Future work will aim to investigate the longer-term trend of postoperative Hb to establish when an outpatient Hb should be performed.

Efficacy of a vermifilter at mitigating greenhouse gases and ammonia emissions from dairy wastewater

Dairy effluent is a potential source of gaseous pollutants associated with global warming and soil acidification. Mitigating such emissions during handling and storage requires substantial financial and labor input. This study evaluated a low-cost technology for mitigating gaseous emissions from dairy wastewater. For 9 mo, a pilot-scale vermifilter system installed on a commercial dairy farm was studied. Bimonthly samples of the dairy wastewater influent and effluent from the vermifilter system were collected. These samples' potential gas emissions (ammonia [NH₃ ], methane [CH₄ ], carbon dioxide [CO₂ ], and nitrous oxide [N₂ O]) were measured using a closed-loop dynamic flux chamber method. Results indicated the following reductions in emissions of these gases by the vermifilter system: 84-100% for NH₃ , 58-82% for CO₂ , and 95-100% for CH₄ . Nitrous oxide emissions were mainly below our instrument detection limits and were thus not reported. The vermifilter showed the potential of reducing the global warming potential from the dairy wastewater by up to 100%. This study further indicated that higher ambient temperatures led to higher emissions of CH₄ (R²  = .56) and NH₃ (R²  = .53) from untreated dairy wastewater. Overall, the vermifilter system has potential to mitigate gaseous emissions from dairy wastewater.

Prediction of thrombosis in atrial fibrillation with compact atrial shape representation

Funding Acknowledgements

Type of funding sources: Public grant(s) – EU funding. Main funding source(s): IHU LIRYC ANR-10-IAHU-04

ERACoSysMed PARIS Project

Background

The impact of LA shape on clot formation in AF is yet to be understood

Purpose

To analyze the impact of LA, PVs and LAA orientations on clot formation

Methods

Pts with history of AF and an indication for LAA closure underwent pre-operative cardiac CT. Those with either a prior history of embolism or a clot detected on arterial and venous-enhanced CT images were categorized as clot positive. On CT images, the LA was segmented and meshed. Automated labelling of PVs and LAA was employed to build a compact skeleton representation of the LA (by registering labels from a template to all cases, and by connecting the center of mass of each labels). LA skeletons were used to train a novel Neural Network model for joint classification of heterogeneous data, such as images taken at different phases of the cardiac cycle. Such model consists of one encoder per dataset followed by a common classifier, enforcing a joint representation of all datasets in the same latent space. This is made possible by writing the task as a variational problem to optimise, we call this model a multi-channel variational classifier. The model was trained to predict clot positive patients and its generalizability was assessed on a test population.

Results

237 pts were included (age 74±8, 70% males, CHADS-VASc 4.3±1.2). CTs were acquired during systole in 117 and diastole in 120. 100 (42%) patients were considered clot positive. Segmentation, labeling and skeletization was successfully achieved in all pts. The model was trained using a 10-Fold cross validation. We compared the results after training on diastole and systole cases independently and by jointly training on both datasets. At testing, our model reached a 0.72 overall accuracy for the prediction of LAA clots (0.83 for systole and 0.61 for diastole), while training separately on systole and diastole was prone to strong overfitting and mode collapse with 0.52 and 0.48 accuracy, respectively.

Conclusion

While LA shape, LA size, PV and LAA orientations alone may not be sufficient for robust clot prediction, we introduce a compressed representation of the global anatomy that closely relates to LAA thrombosis, possibly identifying global features related to adverse hemodynamics. The method is reproducible and introduces a novel approach to accommodate heterogeneous diastole and systole datasets.

Clinical Trial Endpoints and Their Clinical Meaningfulness in Early Stages of Alzheimer's Disease

As the focus of Alzheimer's disease (AD) therapeutic development shifts to the early stages of the disease, the clinical endpoints used in drug trials, and how these might translate into clinical practice, are of increasing importance. The clinical meaningfulness of trial outcome measures is often unclear, with a lack of conclusive evidence as to how these measures correlate to changes in disease progression and treatment response. Clarifying this would benefit all, including patients, care partners, primary care providers, regulators, and payers, and would enhance our understanding of the relationship between clinical trial endpoints and assessments used in everyday practice. At present, there is a wide range of assessment tools used in clinical trials for AD and substantial variability in measures selected as endpoints across these trials. The aim of this review is to summarize the most commonly used assessment tools for early stages of AD, describe their use in clinical trials and clinical practice, and discuss what might constitute clinically meaningful change in these measures in relation to disease progression and treatment response.

Keeping the ICRP recommendations fit for purpose

The International Commission on Radiological Protection (ICRP) has embarked on a review and revision of the system of Radiological Protection that will update the 2007 general recommendations in ICRPPublication 103. This is the beginning of a process that will take several years, involving open and transparent engagement with organisations and individuals around the world. While the system is robust and has performed well, it must adapt to address changes in science and society to remain fit for purpose. The aim of this paper is to encourage discussions on which areas of the system might gain the greatest benefit from review, and to initiate collaborative efforts. Increased clarity and consistency are high priorities. The better the system is understood, the more effectively it can be applied, resulting in improved protection and increased harmonisation. Many areas are identified for potential review including: classification of effects, with particular focus on tissue reactions; reformulation of detriment, potentially including non-cancer diseases; re-evaluation of the relationship between detriment and effective dose, and the possibility of defining detriments for males and females of different ages; individual variation in the response to radiation exposure; heritable effects; and effects and risks in non-human biota and ecosystems. Some of the basic concepts are also being considered, including the framework for bringing together protection of people and the environment, incremental improvements to the fundamental principles of justification and optimisation, a broader approach to protection of individuals, and clarification of the exposure situations introduced in 2007. In addition, ICRP is considering identifying where explicit incorporation of the ethical basis of the system would be beneficial, how to better reflect the importance of communications and stakeholder involvement, and further advice on education and training. ICRP invites responses on these and other areas relating to the review of the System of Radiological Protection.

Introduction to project ECHO (extension for community heathcare outcomes)

Introduction:

Nationally and internationally, there is a gap between the need and availability of child mental health services. This gap stems from a lack of trained specialists, workforce misdistribution, variations in insurance and financing, and family concerns about the benefits of existing services. Of the possible solutions to these problems, expansion of the child mental health capacity of primary care providers (PCPs) has been proposed as a feasible and scalable approach. The Extension for Community Healthcare Outcomes (ECHO) model was originally conceived and executed by Dr. Sanjeev Arora at the University of New Mexico for Hepatitis C. It serves to de-monopolize medical expertise by extending knowledge from specialists to PCPs

Dementia patients have greater anti-cholinergic drug burden on discharge from hospital: A multicentre cross-sectional study

Introduction

Anticholinergic medications block cholinergic transmission. The central effects of anticholinergic drugs can be particularly marked in patients with dementia. Furthermore, anticholinergics antagonise the effects of cholinesterase inhibitors, the main dementia treatment.

Objectives

This study aimed to assess anticholinergic drug prescribing among dementia patients before and after admission to UK acute hospitals.

Methods

352 patients with dementia were included from 17 hospitals in the UK. All were admitted to surgical, medical or Care of the Elderly wards in 2019. Information about patients’ prescriptions were recorded on a standardised form. An evidence-based online calculator was used to calculate the anticholinergic drug burden of each patient. The correlation between two subgroups upon admission and discharge was tested with Spearman’s Rank Correlation.

Results

Table 1 shows patient demographics. On admission, 37.8% of patients had an anticholinergic burden score ≥1 and 5.68% ≥3. At discharge, 43.2% of patients had an anticholinergic burden score ≥1 and 9.1% ≥3. The increase was statistically significant (rho 0.688; p=2.2x10-16). The most common group of anticholinergic medications prescribed at discharge were psychotropics (see Figure 1). Among patients prescribed cholinesterase inhibitors, 44.9% were also taking anticholinergic medications.

Conclusions

This multicentre cross-sectional study found that people with dementia are frequently prescribed anticholinergic drugs, even if also taking cholinesterase inhibitors, and are significantly more likely to be discharged with a higher anticholinergic drug burden than on admission to hospital.

Conflict of interest

This project was planned and executed by the authors on behalf of SPARC (Student Psychiatry Audit and Research Collaborative). We thank the National Student Association of Medical Research for allowing us use of the Enketo platform. Judith Harrison was su

KKI-NECT: Kennedy krieger institute’s network for early childhood tele-education (US)

Introduction

The Kennedy Krieger Institute Network for Early Childhood Tele-Education (KKI-NECT) is a federally funded ECHO project. Its hub consists of a child psychiatrist, developmental pediatricians and a behavioral psychologist. Its community partners are primary care providers(PCPs) in underserved areas. Its goal is to create local experts in early childhood behavioral, emotional and developmental disorders.

Objectives

After attendance at this session, the learner will be able to: 1. report the rates of co-occurring developmental, behavioral and emotional disorders presented by primary care participants 2. explain the efficacy of case based learning and a structured curriculum as a mechanism for expanding the workforce. The goal of this presentation is to build awareness of and interest in ECHOs specifically targeted to child behavioral, emotional and developmental issues.

Methods

Dr. Leppert will discuss KKI-NECT, particularly the process of procuring funding, setting up an ECHO, and getting institutional “buy-in". She will describe the use of case based learning and a structured curriculum in a longitudinal CME program, report the comorbidities in cases that participants present for discussion, and demonstrate the impact on participants’ practice.

Results

Data from four cohorts demonstrate that PCPs showed increased comfort levels, improved knowledge of behavioral, emotional and developmental disorders. PCPs expanded the scope issues they could address in their practice as a result of participation in KKI-NECT.

Conclusion

KKI-NECT is a viable response to the workforce shortage of child psychiatrists by confidently increasing the role of the PCP in treating childhood developmental and mental health disorders.

Disclosure

No significant relationships.

Snaps of a tiny amphipod push the boundary of ultrafast, repeatable movement

Surprisingly, the fastest motions are not produced by large animals or robots. Rather, small organisms or structures, including cnidarian stinging cells, fungal shooting spores, and mandible strikes of ants, termites, and spiders, hold the world acceleration records.^1-5 These diverse systems share common features: they rapidly convert potential energy - stored in deformed material or fluid - into kinetic energy when a latch is released.^4-6 However, the fastest of these are not repeatable, because mechanical components are broken or ejected.^5,6 Furthermore, some of these systems must overcome the added challenge of moving in water, where high density and viscosity constrain acceleration at small sizes. Here we report the kinematics of repeatable, ultrafast snaps by tiny marine amphipods (Dulichiella cf. appendiculata). Males use their enlarged major claw, which can exceed 30% of body mass, to snap a 1 mm-long dactyl with a diameter equivalent to a human hair (184 μm). The claw snaps closed extremely rapidly, averaging 93 μs, 17 m s^-1, and 2.4 x 10⁵ m s^-2. These snaps are among the smallest and fastest of any documented repeatable movement, and are sufficiently fast to operate in the inertial hydrodynamic regime (Reynolds number (Re) >10,000). They generate audible pops and rapid water jets, which occasionally yield cavitation, and may be used for defense. These amphipod snaps push the boundaries of acceleration and size for repeatable movements, particularly in water, and exemplify how new biomechanical insights can arise from unassuming animals. VIDEO ABSTRACT.

Verification and Validation of Digital Pathology (Whole Slide Imaging) for Primary Histopathological Diagnosis: All Wales Experience

Aims:

The study is aimed to verify Aperio AT2 scanner for reporting on the digital pathology platform (DP) and to validate the cohort of pathologists in the interpretation of DP for routine diagnostic histopathological services in Wales, United Kingdom.

Materials, Methods and Results:

This was a large multicenter study involving seven hospitals across Wales and unique with 22 (largest number) pathologists participating. 7491 slides from 3001 cases were scanned on Leica Aperio AT2 scanner and reported on digital workstations with Leica software of e-slide manager. A senior pathology fellow compared DP reports with authorized reports on glass slide (GS). A panel of expert pathologists reviewed the discrepant cases under multiheader microscope to establish ground truth. 2745 out of 3001 (91%) cases showed complete concordance between DP and GS reports. Two hundred and fifty-six cases showed discrepancies in diagnosis, of which 170 (5.6%) were deemed of no clinical significance by the review panel. There were 86 (2.9%) clinically significant discrepancies in the diagnosis between DP and GS. The concordance was raised to 97.1% after discounting clinically insignificant discrepancies. Ground truth lay with DP in 28 out of 86 clinically significant discrepancies and with GS in 58 cases. Sensitivity of DP was 98.07% (confidence interval [CI] 97.57–98.56%); for GS was 99.07% (CI 98.72–99.41%).

Conclusions:

We concluded that Leica Aperio AT2 scanner produces adequate quality of images for routine histopathologic diagnosis. Pathologists were able to diagnose in DP with good concordance as with GS.

Strengths and Limitations of this Study:

Strengths of this study – This was a prospective blind study. Different pathologists reported digital and glass arms at different times giving an ambience of real-time reporting. There was standardized use of software and hardware across Wales. A strong managerial support from efficiency through the technology group was a key factor for the implementation of the study.

Limitations:

This study did not include Cytopathology and in situ hybridization slides. Difficulty in achieving surgical pathology practise standardization across the whole country contributed to intra-observer variations.

Risk Factors for Relapsing Remitting Multiple Sclerosis

Relapsing remitting is the most common type of multiple sclerosis, affecting approximately 85% of all patients. Previous evidence has suggested that the risk factors for developing relapsing remitting multiple sclerosis is multifactorial. Similarly, it has been suggested that these factors also influence the risk of relapse. This article critically appraises and evaluates a systematic review that examined multiple factors associated with the risk of relapse for relapsing remitting multiple sclerosis.

Silicone adhesive multilayer foam dressings as adjuvant prophylactic therapy to prevent hospital-acquired pressure ulcers: a pragmatic noncommercial multicentre randomized open-label parallel-group medical device trial

Background

Silicone adhesive multilayer foam dressings are used as adjuvant therapy to prevent hospital‐acquired pressure ulcers (PUs).

Objectives

To determine whether silicone foam dressings in addition to standard prevention reduce the incidence of PUs of category 2 or worse compared with standard prevention alone.

Methods

This was a multicentre, randomized controlled medical device trial conducted in eight Belgian hospitals. At‐risk adult patients were centrally randomized (n = 1633) to study groups based on a 1 : 1 : 1 allocation: experimental groups 1 (n = 542) and 2 (n = 545) – pooled as the treatment group – and the control group (n = 546). The experimental groups received PU prevention according to hospital protocol, and a silicone foam dressing on the relevant body sites. The control group received standard of care. The primary endpoint was the incidence of a new PU of category 2 or worse at the studied body sites.

Results

In the intention‐to‐treat population (n = 1605), PUs of category 2 or worse occurred in 4·0% of patients in the treatment group and 6·3% in the control group [relative risk (RR) 0·64, 95% confidence interval (CI) 0·41–0·99, P = 0·04]. Sacral PUs were observed in 2·8% and 4·8% of the patients in the treatment group and the control group, respectively (RR 0·59, 95% CI 0·35–0·98, P = 0·04). Heel PUs occurred in 1·4% and 1·9% of patients in the treatment and control groups, respectively (RR 0·76, 95% CI 0·34–1·68, P = 0·49).

Conclusions

Silicone foam dressings reduce the incidence of PUs of category 2 or worse in hospitalized at‐risk patients when used in addition to standard of care. The results show a decrease for the sacrum, but no statistical difference for the heel and trochanter areas.

What is already known about this topic?

The incidence of hospital‐acquired pressure ulcers (PUs) remains high despite the implementation of best‐practice recommendations.

The concept of using silicone foam dressings as an additional prophylactic strategy in PU prevention has been investigated in previous studies but with some limitations.

Most RCTs were monocentric studies, restricted to either critically ill or acute care patients and did not observe more than two anatomical at‐risk skin sites, which limited the generalizability of the findings.

What does this study add?

This large pragmatic RCT suggests that it is beneficial to use silicone adhesive multilayer foam dressings on the sacrum, in addition to standard of care, to help prevent hospital‐acquired PUs.

Clinical decision making for heel dressings should be based on the clinical effectiveness of the intervention weighed against the potential risk of falling.

Linked Comment: F. Coyer. Br J Dermatol 2021; 185:4–5.

Adopting evidence-based guidelines for acute stroke care: barriers and enablers for health professionals

An evidence summary based on the systematic review: Baatiema L, Otim ME, Mnatzaganian G, de-Graft Aikins A, Coombes J, Somerset S. Health professionals' views on the barriers and enablers to evidence-based practice for acute stroke care: a systematic review. Implement Sci. 2017;12:74. 10.1186/s13012-017-0599-3

Evidence-based practice is the keystone of clinical practice, policy and management. Despite this, a knowledge-to-practice gap still exists, and it is estimated to take 17 years for evidence to be translated into clinical practice. The reasons for slow translation in acute stroke care are not completely understood.

Filament identification in wide-angle high speed imaging of the mega amp spherical tokamak

A new tomographic inversion technique is presented for the identification of plasma filaments in wide-angle visible camera data. The technique works on the assumption that background subtracted images of filaments can be represented as a superposition of uniformly emitting magnetic equilibrium field lines. A large collection of equilibrium magnetic field lines is traced and projected onto the camera field of view and combined to form a geometry matrix describing the coordinate transformation from magnetic field aligned coordinates to image pixel coordinates. Inverting this matrix enables the reprojection of the emission in the camera images onto a field aligned basis, from which filaments are readily identifiable. The inversion is a poorly conditioned problem which is overcome using a least-squares approach with Laplacian regularization. Blobs are identified using the "watershed" algorithm and 2D Gaussians are fitted to get the positions, widths, and amplitudes of the filaments. A synthetic camera diagnostic generating images containing experimentally representative filaments is utilized to rigorously benchmark the accuracy and reliability of the technique. 74% of synthetic filaments above the detection amplitude threshold are successfully detected, with 98.8% of detected filaments being true positives. The accuracy with which filament properties and their probability density functions are recovered is discussed, along with sources of error and methods to minimize them.

Impact of Puberty and Age on Adolescent Inhibition Over Time

Objective

We measured how puberty impacted inhibition over three years. We hypothesized that age and puberty development would predict inhibition at each time point. Results revealed differential effects of puberty and age over time.

Method

Participants from Southern Idaho were 245 adolescents at Time 1 (T1) (M = 10.4, SD = 1.5, 50% female, 64% Caucasian), 196 adolescents at Time 2 (T2) (M = 11.8, SD = 1.5, 50% female, 81% Caucasian), and 87 adolescents at Time 3 (T3) (M = 13, SD = 1.5, 56% female, 82% Caucasian). Participants completed a physical exam with a registered nurse, which included the Tanner Scale (Apter & Hermanson, 2002; Tinggaard et. al., 2012) and the Puberty Development Scale (Petersen et al., 1988). Inhibition was assessed using stop-signal reaction time (SSRT) within the Stop-it Task (Logan, Cowan, & Davis, 1984).

Results

Using structural equation modeling, for T1, the overall model demonstrated a good fit, χ2(3) = 1.23, p = .75, RMSEA = .00, CFI = 1.00, TLI = 1.04. Puberty significantly predicted inhibition (β = -.21, p < .05), i.e., higher puberty scores predicted stronger inhibition. However, age was not a significant predictor. At T2, the model demonstrated a good fit, χ2(7) = 7.77, p = .35, RMSEA = .03, CFI = 1.00, TLI = .99. Age significantly predicted inhibition (β=-.39, p < .001). However, puberty was not a significant predictor. In T3, neither age nor puberty predicted inhibition.

Conclusions

Our results indicate that early adolescent increases in inhibition may be due to puberty development rather than age. As one ages, puberty has less effect, and chronological age becomes more significant. Finally, in mid-adolescence, neither age nor puberty significantly affects inhibition. These findings highlight the changing effects of age and puberty on inhibitory control across adolescence.

The digital mirror Langmuir probe: Field programmable gate array implementation of real-time Langmuir probe biasing

High bandwidth, high spatial resolution measurements of electron temperature, density, and plasma potential are valuable for resolving turbulence in the boundary plasma of tokamaks. While conventional Langmuir probes can provide such measurements, either their temporal or spatial resolution is limited: the former by the sweep rate necessary for obtaining I-V characteristics and the latter by the need to use multiple electrodes, as is the case in triple and double probe configurations. The Mirror Langmuir Probe (MLP) bias technique overcomes these limitations by rapidly switching the voltage on a single electrode cycling between three bias states, each dynamically optimized for the local plasma conditions. The MLP system on Alcator C-Mod used analog circuitry to perform this function, measuring T_e, V_F, and I_sat at 1.1 MSPS. Recently, a new prototype digital MLP controller has been implemented on a Red Pitaya Field Programmable Gate Array (FPGA) board which reproduces the functionality of the original controller and performs all data acquisition. There is also the potential to provide the plasma parameters externally for use with feedback control systems. The use of FPGA technology means the system is readily customizable at a fraction of the development time and implementation cost. A second Red Pitaya was used to test the MLP by simulating the current response of a physical probe using C-Mod experimental measurements. This project is available as a git repository to facilitate extensibility (e.g., real-time control outputs and more voltage states) and scalability through collaboration.