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To compare the recovery of yeast from hospital surfaces from two different collection methods: Eswab moistened with molecular water, and premoistened stick-mounted sponge.
Design:
Comparison of collection methods for the recovery of yeast in the hospital environment.
Setting:
This study took place at intensive care units of a large academic medical center.
From the early years of Israel’s occupation of the West Bank and Gaza Strip, observers predicted that their de facto annexation might occur. Fifty-seven years later, it has happened. Although governed differently than other zones within the Israeli state, neither territory can be separated from Israel. Yet, the territories’ official status is that they are not part of the state. We offer four reinforcing analyses—legal, historical, discursive, and political—of this sustained discrepancy between what is and what is officially said to be. By analyzing Israel’s juridical techniques for regularizing the incorporation of territories occupied beginning in 1948, we show that de facto annexation has been Israel’s predominant form of territorial expansion. This helps account for the failure to implement de jure annexation, the intensity of conflict over attempts to overhaul the Israeli judiciary, and debates over the future of postwar Gaza.
This chapter reviews research on a contemporary form of prejudice – aversive racism – and considers the important role of implicit bias in the subtle expressions of discrimination associated with aversive racism. Aversive racism characterizes the racial attitudes of a substantial portion of well-intentioned people who genuinely endorse egalitarian values and believe that they are not prejudiced but at the same time possess automatically activated, often nonconscious, negative feelings and beliefs about members of another group. Our focus in this chapter is on the bias of White Americans toward Black Americans, but we also discuss relevant findings in other intergroup contexts. We emphasize the importance of considering, jointly, both explicit and implicit biases for understanding subtle, and potentially unintentional, expressions of discrimination. The chapter concludes by discussing how research on aversive racism and implicit bias has been mutually informative and suggests specific promising directions for future work.
Test items for which the item score reflects a sequential or IRTree modeling outcome are considered. For such items, we argue that item-specific factors, although not empirically measurable, will often be present across stages of the same item. In this paper, we present a conceptual model that incorporates such factors. We use the model to demonstrate how the varying conditional distributions of item-specific factors across stages become absorbed into the stage-specific item discrimination and difficulty parameters, creating ambiguity in the interpretations of item and person parameters beyond the first stage. We discuss implications in relation to various applications considered in the literature, including methodological studies of (1) repeated attempt items; (2) answer change/review, (3) on-demand item hints; (4) item skipping behavior; and (5) Likert scale items. Our own empirical applications, as well as several examples published in the literature, show patterns of violations of item parameter invariance across stages that are highly suggestive of item-specific factors. For applications using sequential or IRTree models as analytical models, or for which the resulting item score might be viewed as outcomes of such a process, we recommend (1) regular inspection of data or analytic results for empirical evidence (or theoretical expectations) of item-specific factors; and (2) sensitivity analyses to evaluate the implications of item-specific factors for the intended inferences or applications.
Whole genome sequencing (WGS) can help identify transmission of pathogens causing healthcare-associated infections (HAIs). However, the current gold standard of short-read, Illumina-based WGS is labor and time intensive. Given recent improvements in long-read Oxford Nanopore Technologies (ONT) sequencing, we sought to establish a low resource approach providing accurate WGS-pathogen comparison within a time frame allowing for infection prevention and control (IPC) interventions.
Methods:
WGS was prospectively performed on pathogens at increased risk of potential healthcare transmission using the ONT MinION sequencer with R10.4.1 flow cells and Dorado basecaller. Potential transmission was assessed via Ridom SeqSphere+ for core genome multilocus sequence typing and MINTyper for reference-based core genome single nucleotide polymorphisms using previously published cutoff values. The accuracy of our ONT pipeline was determined relative to Illumina.
Results:
Over a six-month period, 242 bacterial isolates from 216 patients were sequenced by a single operator. Compared to the Illumina gold standard, our ONT pipeline achieved a mean identity score of Q60 for assembled genomes, even with a coverage rate as low as 40×. The mean time from initiating DNA extraction to complete analysis was 2 days (IQR 2–3.25 days). We identified five potential transmission clusters comprising 21 isolates (8.7% of sequenced strains). Integrating ONT with epidemiological data, >70% (15/21) of putative transmission cluster isolates originated from patients with potential healthcare transmission links.
Conclusions:
Via a stand-alone ONT pipeline, we detected potentially transmitted HAI pathogens rapidly and accurately, aligning closely with epidemiological data. Our low-resource method has the potential to assist in IPC efforts.
Product architecture decisions are made early in the product development process and have far-reaching effects. Unless anticipated through experience or intuition, many of these effects may not be apparent until much later in the development process, making changes to the architecture costly in time, effort and resources. Many researchers through the years have studied various elements of product architecture and their effects. By using a repeatable process for aggregating statements on the effects of architecture strategies from a selection of the literature on the topic and storing them in a systematic database, this information can then be recalled and presented in the form of a Product Architecture Strategy and Effect (PASE) matrix. PASE matrices allow for the identification, comparison, evaluation, and then selection of the most desirable product architecture strategies before expending resources along a specific development path. This paper introduces the PASE Database and matrix and describes their construction and use in guiding design decisions. This paper also provides metrics for understanding the robustness of this database.
Giant coronary artery aneurysms and myocardial fibrosis after Kawasaki disease may lead to devastating cardiovascular outcomes. We characterised the vascular and myocardial outcomes in five selected Kawasaki disease patients with a history of giant coronary artery aneurysms that completely regressed.
Methods:
Five patients were selected who had giant coronary artery aneurysm in early childhood that regressed when studied 12–33 years after Kawasaki disease onset. Coronary arteries were imaged by coronary CT angiography, and coronary artery calcium volume scores were determined. We used endocardial strain measurements from CT imaging to assess myocardial regional wall function. Calprotectin and galectin-3 (gal-3) as biomarkers of inflammation and myocardial fibrosis were measured by enzyme-linked immunosorbent assay.
Results:
The five selected patients with regressed giant coronary artery aneurysms had calcium scores of zero, normal levels of calprotectin and gal-3, and normal appearance of the coronary arteries by coronary computed tomography angiography. CT strain demonstrated normal peak systolic and diastolic strain patterns in four of five patients. In one patient with a myocardial infarction at the time of Kawasaki disease diagnosis at the age of 10 months, CT strain showed altered global longitudinal strain, reduced segmental peak strain, and reduced diastolic relaxation patterns in multiple left ventricle segments.
Conclusions:
These patients illustrate that regression of giant aneurysms after Kawasaki disease is possible with no detectable calcium, normal biomarkers of inflammation and fibrosis, and normal myocardial function. Individuals with regressed giant coronary artery aneurysm still require longitudinal surveillance to assess the durability of this favourable outcome.
Climate distress describes a complex array of emotional responses to climate change, which may include anxiety, despair, anger and grief. This paper presents a conceptual analysis of how acceptance and commitment therapy (ACT) is relevant to supporting those with climate distress. ACT aims to increase psychological flexibility, consisting of an open and aware orientation to one’s experiences, and an engaged approach to living, guided by personal values. We discuss the pertinence of each of these processes for adapting to the challenging reality of climate change. By embracing climate distress as a natural human experience and promoting value-guided action, ACT offers a promising approach that brings co-benefits to individuals and wider society.
Key learning aims
(1) To understand the concept of climate distress and its various emotional responses.
(2) To explore the relevance of acceptance and commitment therapy (ACT) in addressing climate distress and promoting psychological well-being.
(3) To examine the importance of psychological flexibility in coping with climate change.
(4) To analyse the role of ACT in embracing climate distress as a natural human experience.
(5) To investigate how ACT can encourage pro-environmental behaviours and climate change mitigation efforts.
A surveillance system for measuring patient-level antimicrobial adverse drug events (ADE) may support stewardship activities, however, design and implementation questions remain. In this national survey, stewardship experts favored simple, laboratory-based ADE definitions although there were tensions between feasibility, ability to identify attribution without chart review, and importance of specific ADE.
Petrographical and geochemical data from the Togo structural unit (TSU), also referred to as the Atacora structural unit, are presented together with the existing dataset; geochemical and age data from the sedimentary and metasedimentary rocks from the passive margin sequences of the Dahomeyide belt in Ghana to infer their provenance and depositional setting and expand the discussion on the Rodina–Gondwana supercontinent assembly during the Pan-African orogeny. The metasedimentary rocks of the TSU are quartzites and phyllites. The framework grains of the quartzites consisting dominantly of quartz and small amounts of feldspar grains and relict lithic fragments classify them as quartz arenite, subarkose and sublitharenite. Generally, the studied rocks show similar rare-earth element and multi-element patterns, which imply derivation from similar sources. Elemental ratios, including (La/Lu)N, Th/Sc and La/Sc, suggest sediments sourced from intermediate to felsic rocks. Provenance and depositional setting indicators of the TSU suggest deposition in a passive margin setting, with the West African and Amazonian cratons’ granitoids and granitic gneisses as possible provenance, akin to siliciclastic rocks of the Buem structural unit and the Voltaian Supergroup of the Volta Basin. The deformational history of the TSU is similar to those of the Buem structural unit and the eastern margin of the Voltaian Supergroup, indicating the effect of the Pan-African orogeny on the passive margin of the Dahomeyide belt. We, therefore, propose the formation and evolution of a Neoproterozoic passive margin unit, which was tectonically deformed during the Rodinia–Gondwana supercontinent cycle.
The importance of automating pavement maintenance tasks for highway systems has garnered interest from both industry and academia. Despite significant research efforts and promising demonstrations being devoted to reaching a level of semi-automation featuring digital sensing and inspection, site maintenance work still requires manual processes using special vehicles and equipment, reflecting a clear gap to transition to fully autonomous maintenance. This paper reviews the current progress in pavement maintenance automation in terms of inspection and repair operations, followed by a discussion of three key technical challenges related to robotic sensing, control, and actuation. To address these challenges, we propose a conceptual solution we term Autonomous Maintenance Plant (AMP), mainly consisting of five modules for sensing, actuation, control, power supply, and mobility. This AMP concept is part of the “Digital Roads” project’s cyber-physical platform where a road digital twin (DT) is created based on its physical counterpart to enable real-time condition monitoring, sensory data processing, maintenance decision making, and repair operation execution. In this platform, the AMP conducts high-resolution survey and autonomous repair operations enabled (instructed) by the road DT. This process is unmanned and completely autonomous with an expectation to create a fully robotized highway pavement maintenance system.
Traditional approaches for evaluating the impact of scientific research – mainly scholarship (i.e., publications, presentations) and grant funding – fail to capture the full extent of contributions that come from larger scientific initiatives. The Translational Science Benefits Model (TSBM) was developed to support more comprehensive evaluations of scientific endeavors, especially research designed to translate scientific discoveries into innovations in clinical or public health practice and policy-level changes. Here, we present the domains of the TSBM, including how it was expanded by researchers within the Implementation Science Centers in Cancer Control (ISC3) program supported by the National Cancer Institute. Next, we describe five studies supported by the Penn ISC3, each focused on testing implementation strategies informed by behavioral economics to reduce key practice gaps in the context of cancer care and identify how each study yields broader impacts consistent with TSBM domains. These indicators include Capacity Building, Methods Development (within the Implementation Field) and Rapid Cycle Approaches, implementing Software Technologies, and improving Health Care Delivery and Health Care Accessibility. The examples highlighted here can help guide other similar scientific initiatives to conceive and measure broader scientific impact to fully articulate the translation and effects of their work at the population level.
This editorial considers the value and nature of academic psychiatry by asking what defines the specialty and psychiatrists as academics. We frame academic psychiatry as a way of thinking that benefits clinical services and discuss how to inspire the next generation of academics.
Accelerating COVID-19 Treatment Interventions and Vaccines (ACTIV) was initiated by the US government to rapidly develop and test vaccines and therapeutics against COVID-19 in 2020. The ACTIV Therapeutics-Clinical Working Group selected ACTIV trial teams and clinical networks to expeditiously develop and launch master protocols based on therapeutic targets and patient populations. The suite of clinical trials was designed to collectively inform therapeutic care for COVID-19 outpatient, inpatient, and intensive care populations globally. In this report, we highlight challenges, strategies, and solutions around clinical protocol development and regulatory approval to document our experience and propose plans for future similar healthcare emergencies.
BrighT STAR was a diagnostic stewardship collaborative of 14 pediatric intensive care units (PICUs) across the United States designed to standardize and reduce unnecessary blood cultures and study the impact on patient outcomes and broad-spectrum antibiotic use. We now examine the implementation process in detail to understand how sites facilitated this diagnostic stewardship program in their PICUs.
Design:
A multi-center electronic survey of the 14 BrighT STAR sites, based on qualitative data about the implementation process collected during the primary phase of BrighT STAR.
Setting:
14 PICUs enrolled in BrighT STAR.
Participants:
Site leads at each enrolled site.
Methods:
An electronic survey guided by implementation science literature and based on data collected during BrighT STAR was administered to all 14 sites after completion of the primary phase of the collaborative.
Results:
10 specific tasks appear critical to implementing blood culture diagnostic stewardship, with variability in site-level strategies employed to accomplish those tasks. Sites rated certain tasks and strategies as highly important. Strategies used in top-performing sites were distinct from those used in lower-performing sites. Certain strategies may link to drivers of culture overuse and represent key targets for changing clinician behavior.
Conclusions:
BrighT STAR offers important insights into the tasks and strategies used to facilitate successful diagnostic stewardship in the PICU. More work is needed to compare specific strategies and optimize stewardship outcomes in this complex environment.
Community health workers and promotoras (CHW/Ps) increasingly support research conducted in communities but receive variable or no training. We developed a culturally and linguistically tailored research best practices course for CHW/Ps that can be taken independently or in facilitated groups. The purpose of this study was to evaluate the facilitated training.
Methods:
CHW/Ps were recruited from communities and partners affiliated with study sites in Michigan, Florida, and California. They participated in virtual or in-person training facilitated by a peer in English or Spanish and then completed a survey about their abilities (i.e., knowledge and skills for participating in research-related work) and perceptions of the training. Linear regression analyses were used to examine differences in training experience across several factors.
Results:
A total of 394 CHW/Ps, mean age 41.6 ± 13.8 years, completed the training and survey (n = 275 English; 119 Spanish). Most CHW/Ps were female (80%), and 50% identified as Hispanic, Latino, or Spanish. Over 95% of CHW/Ps rated their abilities as improved after training; 98% agreed the course was relevant to their work and felt the training was useful. Small differences were observed between training sites.
Discussion:
Most CHW/Ps rated the training positively and noted improved knowledge and skills for engaging in research-related work. Despite slight site differences, the training was well received, and CHW/Ps appreciated having a facilitator with experience working in community-based settings. This course offers a standard and scalable approach to training the CHW/P workforce. Future studies can examine its uptake and effect on research quality.
Type 1 diabetes mellitus (T1DM) patients are treated via insulin which could result in weight gain. Studies have coined a new term, “Diabulimia” which refers to the limitation or skipping of insulin doses, with the objective of weight control. A previous meta-analysis has found that eating disorders (ED) are significantly associated with T1DM (Mannucci, E et al. J Endocrinol Invest 2005; 417-9), while a more recent one, has shown an insignificant association between ED and T1DM on analysis of diabetes-adapted questionnaires only (Young V, et al. Diabet Med. 2013:189-198)
Objectives
We aimed to re-analyze the association between ED and T1DM, whilst taking into account recently published literature and the type of questionnaire utilized.
Methods
A literature search of PubMed, Scopus, and Web of Science was conducted on 17th January 2023, using the key terms “ T1DM”, “Eating Disorders”, and “ Bulimia”. Only Observational controlled studies were included.
Results
T1DM was associated with increased risk of ED compared to non-diabetic individuals (RR = 2.47, 95% CI = 1.84 to 3.32, p-value < 0.00001), especially bulimia nervosa (RR = 2.80, 95% CI = 1.18 to 6.65, p-value = 0.02) and binge eating (RR = 1.53, 95% CI = 1.18 to 1.98, p-value = 0.001), while no significant association was seen between T1DM and anorexia nervosa. Our sensitivity analysis has shown that increased risk of ED among T1DM persisted regardless of the questionnaire used to diagnose ED; DM-validated questionnaires (RR = 2.80, 95% CI = 1.91 to 4.12, p-value <0.00001) and generic questionnaires (RR = 2.03, 95% CI = 1.27 to 3.23, p-value = 0.003). Furthermore, the Eating Attitudes Test-26 (EAT) showed a significant increase in the dieting subscale (MD = 2.95, 95% CI = 1.84 to 4.06, p-value < 0.00001) and bulimia subscale (MD = 0.78, 95% CI = 0.12 to 1.44, p-value = 0.02) among T1DM patients. Additionally, the Bulimic Investigatory Test, Edinburg (BITE) showed a significant increase in the symptom subscale (MD = 0.31, 95% CI = 0.12 to 0.50, p-value = 0.001), however, no significant difference was detected between T1DM and controls in the severity subscale. Prevalence of insulin omission/misuse was 10.3% (95% CI = 8.1-13); diabetic females demonstrated significantly higher risk of insulin omission (RR = 14.21, 95% CI = 2.66 to 76.04, p-value = 0.002) and insulin misuse (RR = 6.51, 95% CI = 1.14 to 37.31, p-value = 0.04) compared with diabetic males. Analysis of other potentially unhealthy weight control behaviors showed insignificant associations between fasting, excessive exercise, dieting pills misuse, diuretics misuse, and T1DM.
Conclusions
T1DM patients are at higher risk of developing ED according to both generic and diabetes-validated questionnaires. Moreover, female diabetics are at higher risk of insulin misuse/omission. Subsequently, patients should be regularly screened and early psychiatric management is warranted.
Campylobacter spp. are leading bacterial gastroenteritis pathogens. Infections are largely underreported, and the burden of outbreaks may be underestimated. Current strategies of testing as few as one isolate per sample can affect attribution of cases to epidemiologically important sources with high Campylobacter diversity, such as chicken meat. Multiple culture method combinations were utilized to recover and sequence Campylobacter from 45 retail chicken samples purchased across Norwich, UK, selecting up to 48 isolates per sample. Simulations based on resampling were used to assess the impact of Campylobacter sequence type (ST) diversity on outbreak detection. Campylobacter was recovered from 39 samples (87%), although only one sample was positive through all broth, temperature, and plate combinations. Three species were identified (Campylobacter jejuni, Campylobacter coli, and Campylobacter lari), and 33% of samples contained two species. Positive samples contained 1–8 STs. Simulation revealed that up to 87 isolates per sample would be required to detect 95% of the observed ST diversity, and 26 isolates would be required for the average probability of detecting a random theoretical outbreak ST to reach 95%. An optimized culture approach and selecting multiple isolates per sample are essential for more complete Campylobacter recovery to support outbreak investigation and source attribution.
Background: Identifying functional biomarkers related to treatment success can aid in optimizing therapy and provide a better understanding of the neural mechanisms of treatment-resistant depression (TRD) and subcallosal cingulate deep brain stimulation (SCC-DBS). Methods: Magnetoencephalography data were obtained from 16 individuals with SCC-DBS for TRD and 25 healthy subjects. We identified region-specific oscillatory modulations that both (i) discriminate individuals with TRD (SCC-DBS OFF) from healthy controls and (ii) discriminate responders from non-responders (SCC-DBS ON). The effects of stimulation intensity and frequency were also explored. Results: Discriminative regions that differentiated responders from non-responders based on modulations of increased alpha (8-12 Hz) and decreased gamma (32-116 Hz) power included nodes of the default mode, central executive, and somatomotor networks, Broca’s area, and lingual gyrus. Furthermore, low stimulation frequency had stronger effects on oscillatory modulation. Conclusions: The identified functional biomarkers implicate modulations of TRD-related activity in brain regions involved in emotional control/processing, motor control, and interactions between speech, vision, and memory – all implicated in depression. These electrophysiological biomarkers have the potential to be used as functional proxies for therapy optimization. Additional stimulation parameter analyses revealed that oscillatory modulations are strengthened by increasing stimulation intensity or reducing frequency, which may benefit SCC-DBS non-responders.
Knowledge of sex differences in risk factors for posttraumatic stress disorder (PTSD) can contribute to the development of refined preventive interventions. Therefore, the aim of this study was to examine if women and men differ in their vulnerability to risk factors for PTSD.
Methods
As part of the longitudinal AURORA study, 2924 patients seeking emergency department (ED) treatment in the acute aftermath of trauma provided self-report assessments of pre- peri- and post-traumatic risk factors, as well as 3-month PTSD severity. We systematically examined sex-dependent effects of 16 risk factors that have previously been hypothesized to show different associations with PTSD severity in women and men.
Results
Women reported higher PTSD severity at 3-months post-trauma. Z-score comparisons indicated that for five of the 16 examined risk factors the association with 3-month PTSD severity was stronger in men than in women. In multivariable models, interaction effects with sex were observed for pre-traumatic anxiety symptoms, and acute dissociative symptoms; both showed stronger associations with PTSD in men than in women. Subgroup analyses suggested trauma type-conditional effects.
Conclusions
Our findings indicate mechanisms to which men might be particularly vulnerable, demonstrating that known PTSD risk factors might behave differently in women and men. Analyses did not identify any risk factors to which women were more vulnerable than men, pointing toward further mechanisms to explain women's higher PTSD risk. Our study illustrates the need for a more systematic examination of sex differences in contributors to PTSD severity after trauma, which may inform refined preventive interventions.