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In 2015, excavations at Stainton Quarry, Furness, Cumbria, recovered remains that provide a unique insight into Early Neolithic farming in the vicinity. Five pits, a post-hole, and deposits within a tree-throw and three crevices in a limestone outcrop were investigated. The latter deposits yielded potentially the largest assemblage of Carinated Bowl fragments yet recovered in Cumbria. Lipid analysis identified dairy fats within nine of these sherds. This was consistent with previous larger studies but represents the first evidence that dairying was an important component of Early Neolithic subsistence strategies in Cumbria. In addition, two deliberately broken polished stone axes, an Arran pitchstone core, a small number of flint tools and debitage, and a tuff flake were retrieved. The site also produced moderate amounts of charred grain, hazelnut shell, charcoal, and burnt bone. Most of the charred grain came from an Early Neolithic pit and potentially comprises the largest assemblage of such material recovered from Cumbria to date. Radiocarbon dating indicated activity sometime during the 40th–35th centuries cal bc as well as an earlier presence during the 46th–45th centuries. Later activity during the Chalcolithic and the Early Bronze Age was also demonstrated. The dense concentration of material and the fragmentary and abraded nature of the pottery suggested redeposition from an above-ground midden. Furthermore, the data recovered during the investigation has wider implications regarding the nature and use of the surrounding landscape during the Early Neolithic and suggests higher levels of settlement permanence, greater reliance on domesticated resources, and a possible different topographical focus for settlement than currently proposed.
Introduction: In 2018, Canadian postgraduate specialist Emergency Medicine (EM) programs began implementing a competency-based medical education (CBME) assessment system. To support improvement of this assessment program, we sought to evaluate its short-term educational outcomes nationally and within individual programs. Methods: Program-level data from the 2018 resident cohort were amalgamated and analyzed. The number of Entrustable Professional Activity (EPA) assessments (overall and for each EPA) and the timing of resident promotion through program stages was compared between programs and to the guidelines provided by the national EM specialty committee. Total EPA observations from each program were correlated with the number of EM and pediatric EM rotations. Results: Data from 15 of 17 (88.2%) EM programs containing 9,842 EPA observations from 68 of the 77 (88.3%) Canadian EM specialist residents in the 2018 cohort were analyzed. The average number of EPAs observed per resident in each program varied from 92.5 to 229.6 and correlated strongly with the number of blocks spent on EM and pediatric EM (r = 0.83, p < 0.001). Relative to the guidelines outlined by the specialty committee, residents were promoted later than expected and with fewer EPA observations than suggested. Conclusion: We present a new approach to the amalgamation of national and program-level assessment data. There was demonstrable variation in both EPA-based assessment numbers and promotion timelines between programs and with national guidelines. This evaluation data will inform the revision of local programs and national guidelines and serve as a starting point for further reaching outcome evaluation. This process could be replicated by other national assessment programs.
Introduction: CAEP recently developed the acute atrial fibrillation (AF) and flutter (AFL) [AAFF] Best Practices Checklist to promote optimal care and guidance on cardioversion and rapid discharge of patients with AAFF. We sought to assess the impact of implementing the Checklist into large Canadian EDs. Methods: We conducted a pragmatic stepped-wedge cluster randomized trial in 11 large Canadian ED sites in five provinces, over 14 months. All hospitals started in the control period (usual care), and then crossed over to the intervention period in random sequence, one hospital per month. We enrolled consecutive, stable patients presenting with AAFF, where symptoms required ED management. Our intervention was informed by qualitative stakeholder interviews to identify perceived barriers and enablers for rapid discharge of AAFF patients. The many interventions included local champions, presentation of the Checklist to physicians in group sessions, an online training module, a smartphone app, and targeted audit and feedback. The primary outcome was length of stay in ED in minutes from time of arrival to time of disposition, and this was analyzed at the individual patient-level using linear mixed effects regression accounting for the stepped-wedge design. We estimated a sample size of 800 patients. Results: We enrolled 844 patients with none lost to follow-up. Those in the control (N = 316) and intervention periods (N = 528) were similar for all characteristics including mean age (61.2 vs 64.2 yrs), duration of AAFF (8.1 vs 7.7 hrs), AF (88.6% vs 82.9%), AFL (11.4% vs 17.1%), and mean initial heart rate (119.6 vs 119.9 bpm). Median lengths of stay for the control and intervention periods respectively were 413.0 vs. 354.0 minutes (P < 0.001). Comparing control to intervention, there was an increase in: use of antiarrhythmic drugs (37.4% vs 47.4%; P < 0.01), electrical cardioversion (45.1% vs 56.8%; P < 0.01), and discharge in sinus rhythm (75.3% vs. 86.7%; P < 0.001). There was a decrease in ED consultations to cardiology and medicine (49.7% vs 41.1%; P < 0.01), but a small but insignificant increase in anticoagulant prescriptions (39.6% vs 46.5%; P = 0.21). Conclusion: This multicenter implementation of the CAEP Best Practices Checklist led to a significant decrease in ED length of stay along with more ED cardioversions, fewer ED consultations, and more discharges in sinus rhythm. Widespread and rigorous adoption of the CAEP Checklist should lead to improved care of AAFF patients in all Canadian EDs.
Introduction: The Brain Injury Guidelines (BIG) stratifies complicated mild traumatic brain injury (mTBI) patients into 3 groups to guide hospitalization, neurosurgical consultation and repeat head-CT. BIG-1 patients could be managed safely without neurosurgical consultation or transfer. Systematic transfer to neurotrauma centers provide few benefits to this subgroup leading to overtriage. Similarly, unnecessary clinical and radiological follow-ups utilize significant health-care resources. Objective: to validate the safety and efficacy of the BIG for complicated mTBIs. Methods: We performed a multicenter historical cohort study in 3 level-1 trauma centers in Quebec. Patients ≥16 years old assessed in the Emergency Department (ED) with complicated mTBI between 2014 and 2017 were included. Patients with penetrating trauma, cerebral aneurysm or tumor were excluded. Clinical, demographic and radiological data, BIG variables, TBI-related death and neurosurgical intervention were collected using a standardized form. A second reviewer assessed all ambiguous files. Descriptive statistics, over- and under-triage were calculated. Results: A total of 342 patients’ records were assessed. Mean age was 63 ± 20,7 and 236 (69 %) were male. Thirty-five patients were classified under BIG-1 (10.2%), 110 under BIG-2 (32.2%) and 197 under BIG-3 (57.6%). Twenty-six patients (7%) required neurosurgical intervention, all were BIG-3. 90% of TBI-related deaths occurred in BIG-3 and none were classified BIG-1. Among the 192 transfers (51%), 14 were classified under BIG-1 (7.3%) and should not have been transferred according to the guidelines and 50 under BIG-2 (26%). In addition, 40% of BIG-1 received a repeat head computed tomography, although not indicated. Similarly, 7 % of all patients had a neurosurgical consult even if not required. Projected implementation of BIG would lead to 47% of overtriage and 0.3% of undertriage. Conclusion: Our results suggest that the Brain Injury Guidelines could safely identify patients with negative outcomes and could lead to a safe and effective management of complicated mTBI. Applying these guidelines to our cohort could have resulted in significantly fewer repeat head CTs, neurosurgical consults and transfers to level 1 neurotrauma centers.
Bipolar disorder (BD) is associated with impaired psychosocial behaviours. Little is known about deficits in neurocognitive functions like decision-making possibly related both to these behaviours and to the nature of the disorder.
To determine whether decision-making impairments exist in manic (M), depressed (D) and euthymic (E) bipolar patients (BP) and to determine whether illness and course-of-illness characteristics can predict participants’ performance
A power analysis was conducted. A total of 315 subjects, including 45 M and 32 D inpatients and 90 E outpatients with BD I, medicated, and 150 Healthy Controls (HC), age, IQ and gender-matched, were included. Decision-making ability and sensitivity to punishment frequency were assessed with the Iowa Gambling Task (IGT).
On the IGT, MBP (p< 0.001), DBP (p< 0.01) and EBP (p< 0.05) selected significantly more cards from the risky decks than HC with no significant differences between BP groups. Unlike HC, MBP (p< 0.001), DBP (p< 0.05) and EBP (p< 0.05) showed little capacity to learn from incurred losses with no significant differences between BP groups, but, like HC, BP preferred decks that yielded infrequent penalties over those decks that yielded frequent penalties. In a multivariate analysis, decision-making impairment in the BP was significantly (p=0.001) predicted by low level of education, high total number of admissions and family history of BD.
BP clearly show defects in decision-making predicted by course-of-illness illness characteristics. Impaired decision-making might be a trait-related neurocognitive deficit in BD and partly explain impaired psychosocial behaviours of BP.
Although genetic and environmental factors operating before or around the time of birth have been demonstrated to be relevant to the aetiology of the major psychoses, a seasonal variation in the rates of admission of such patients has long been recognised. Few studies have compared first and readmissions. This study examined for seasonal variation of admission in the major psychoses, and compared diagnostic categories by admission status. Patients admitted to Irish psychiatric inpatient facilities between 1989 and 1994 with an ICD-9/10 diagnosis of schizophrenia or affective disorder were identified from the National Psychiatric Inpatient Reporting System (NPIRS). The data were analysed using a hierarchical log linear model, the chi-square test, a Kolmogorov-Smirnov (KS) type statistic, and the method of Walter and Elwood. The hierarchical log linear model demonstrated significant interactions between the month of admission and admission order (change in scaled deviance 28.77, df = 11, P < 0.003). Both first admissions with mania, and readmissions with bipolar affective disorder exhibited significant seasonality. In contrast, only first admissions with schizophrenia showed significant seasonal effects. Although first admissions with mania and readmissions with bipolar disorder both show seasonality, seasonal influences appear to be more relevant to onset of schizophrenia than subsequent relapse.
Since the 1950s the mortality rate of people with schizophrenia has been in direct contrast to the general population with an approximate reduction of 25 life years.
To explore the prevalence, clinical correlates and the lived experience of treatment resistant schizophrenia and comorbid metabolic syndrome
The study uses a mixed methods approach. The study components are (1) A descriptive analysis of Physical Health data collected on patients with treatment resistant schizophrenia to determine prevalence and clinical correlates of metabolic syndrome. (2) 25 Semi structured interviews on the lived experience of the comorbid metabolic syndrome.
Sample: Persons diagnosed with Treatment Resistant Schizohrenia
Descriptive analysis of a data set on the physical health of 155 persons with treatment resistant schizophrenia demonstrated 90% of patients exhibeted 2 or more factors of the metabolic syndrome with correlations between female gender,medication absorption and body mass index.
The outcomes of quantitative data analysis and semi structured interviews will be triangulated to provide comprehensive insights of subjective and objective dimensions of the patients experience. The findings of this study will inform client centred reccomendations to improve physical health outcomes for this population according to need.
Predicting transition from clinical high risk (CHR) to first episode psychosis has proven difficult. Assessment of oxidative stress biomarkers and the niacin skin flush response (NSFR) may improve prediction accuracy.
To predict transition to psychosis based on combined clinical and blood biomarker.
To analyse data from patients in placebo group of a 12-week trial of omega-3 fatty acid supplementation in CHR. Transition likelihood ratios (LRs) for baseline historical risks, clinical assessments (PANSS subscales and total, GAF), NSFR and blood markers (nervonic acid, superoxide dismutase, glutathione) were calculated. Variables with the highest positive and lowest negative LRs were included in an odds ratio form of Bayes’ rule transition prediction models. Model accuracy was calculated by area under the receiver operating curves (AUROC) of each model.
1-year transition to psychosis was 28% (n=40). Historical data showed no predictability (sensitivity 30%, specificity 100% (AUROC)=0.688, p=0.085). Clinical assessments alone produced a sensitivity of 30% at a specificity of 95% (AUROC=0.83, p<0.0001). The biomarker panel alone predicted transition with 40% sensitivity and 100% specificity (AUROC=0.73, p=0.03). Combining history and clinical assessment provided no improvement above clinical data alone (sensitivity = 30%, specificity = 100%, AUROC=0.85, p< 0.0001). The combination of history, clinical assessment and biomarkers identified transition with a sensitivity of 60% and specificity of 100% (AUROC=0.87, p< 0.0001).
Probabilistic models combining biomarkers and clinical data are able to target high-risk subgroups within CHR and may help to personalise treatment.
Impaired insight is commonly seen in psychosis and some studies have proposed that is a biologically based deficit. Support for this view comes from the excess of neurological soft signs (NSS) observed in patients with psychoses and their neural correlates which demonstrate a degree of overlap with the regions of interest implicated in neuroimaging studies of insight. The aim was to examine the relationship between NSS and insight in a sample of 241 first-episode psychosis patients.
Total scores and subscale scores from three insight measures and two NSS scales were correlated in addition to factors representing overall insight and NSS which we created using principal component analysis.
There were only four significant associations when we controlled for symptoms. “Softer” Condensed Neurological Evaluation (CNE) signs were associated with our overall insight factor (r = 0.19, P = 0.02), with total Birchwood (r = −0.24, P<0.01), and the Birchwood subscales; recognition of mental illness (r = −0.24, P<0.01) and need for treatment (r = −0.18, P = 0.02). Total Neurological Evaluation Scale (NES) and recognition of the achieved effects of medication were also weakly correlated (r = 0.14, P = 0.04).
This study does not support a direct link between neurological dysfunction and insight in psychosis. Our understanding of insight as a concept remains in its infancy.
The purpose of this paper was to examine national differences in the desire to participate in decision-making of people with severe mental illness in six European countries.
The data was taken from a European longitudinal observational study (CEDAR; ISRCTN75841675). A sample of 514 patients with severe mental illness from the study centers in Ulm, Germany, London, England, Naples, Italy, Debrecen, Hungary, Aalborg, Denmark and Zurich, Switzerland were assessed as to desire to participate in medical decision-making. Associations between desire for participation in decision-making and center location were analyzed with generalized estimating equations.
We found large cross-national differences in patients’ desire to participate in decision-making, with the center explaining 47.2% of total variance in the desire for participation (P < 0.001). Averaged over time and independent of patient characteristics, London (mean = 2.27), Ulm (mean = 2.13) and Zurich (mean = 2.14) showed significantly higher scores in desire for participation, followed by Aalborg (mean = 1.97), where scores were in turn significantly higher than in Debrecen (mean = 1.56). The lowest scores were reported in Naples (mean = 1.14). Over time, the desire for participation in decision-making increased significantly in Zurich (b = 0.23) and decreased in Naples (b = −0.14). In all other centers, values remained stable.
This study demonstrates that patients’ desire for participation in decision-making varies by location. We suggest that more research attention be focused on identifying specific cultural and social factors in each country to further explain observed differences across Europe.
Anorexia nervosa (AN) is the most severe in terms of morbidity psychiatric illness with the highest mortality rate increased by 23 fold. Treatments are limited effectiveness. AN has a strong genetic component with heritability at 70% but despite ∼ 200 studies no major gene was identified. Epigenetics, such as DNA methylation, is another component of heritability that could explain the high heritability. Methylation is poorly studied in AN from small samples, and is focused on few candidate genes among publications. Under publication, a first genome-wide methylation study investigated 10 restrictive type AN patients, 19 binging/purging type of AN patients and 15 normal eaters using DNAs from whole blood (Booij, 2015). Of the 480K CpG sites that can be methylated of Infinium Human Methylation450 BeadChip Kit, authors focused on 24,000 sites located close to genes and they identified candidate genes with a different profile of methylation between AN and controls.
Our work is to replicate the results of Booji and also to investigate the AN remitters.
Our goal is to identify epigenetic signatures of the AN disorder and the prognostic of remission.
Twenty-four AN patients, 24 AN remitters will be compared to 48 healthy control women for methylation using the Infinium Human Methylation450.
As Booji et al., we will compare methylation for 24,000 sites located close to genes for 24 AN, 24 remitters and 48 controls.
We expected to replicate the published results of Booji and to identify genes with a methylation signature specific of the AN remission.
Disclosure of interest
The authors have not supplied their declaration of competing interest.
Advances in immunohistochemistry have spearheaded major developments in our understanding and classification of sinonasal tumours. In the last decade, several new distinct histopathological entities of sinonasal cancer have been characterised.
This review aims to provide a clinical update of the major emerging subtypes for the ENT surgeon and an overview of the management strategies available for this heterogeneous group of pathologies.
Although rare, knowledge of sinonasal neoplasm subtypes has implications for prognosis, treatment strategies and the development of novel therapeutic targets.
Sleep has been shown to impact on both physical and mental health, and sleep problems present a considerable burden for individuals and society. There appears to be a complex bidirectional relationship between sleep disturbance and psychiatric symptoms, each potentially influencing the other. In particular, sleep disorders have been associated with more severe symptoms and are predictive of relapse in those with psychotic disorders. This article discusses the relationship between psychosis and insomnia, sleep apnoea, nightmares, circadian rhythm abnormalities and the impact of medications on these relationships. We also discuss the clinical implications of the relationship between sleep disturbance and psychotic disorders along with potential targets for intervention.
Takeaway shops are more clustered around secondary than primary schools and UK planning policies to limit takeaways show poor implementation against international examples and good practice statements. A major concern is that, worldwide, there are no standardised measures used to measure the food environment around homes, schools, work or any other facilities. This study aims to examine the differences in using different methods to evaluate the food environment particularly around secondary schools in the Avon region in the UK. Geographical Information System (GIS) was used to locate all schools and takeaways in the region and to measure the density and proximity scores, applying both road network and straight-line methods. In addition, the Hansen Index was used to measure the accessibility score of each schools to all takeaways in the region (not just the nearest). All of the nonparametric statistical analysis tests including Wilcoxon test, agreement (Kappa statistic) test and correlation test were carried out using Stata software version 15.0. It was observed that more than 50% of the schools had no takeaway shops within 200, 400, and 600 metres when the road network buffer was used. Statistical differences were observed between the road network and the straight-line methods. For example, the median of the difference between the straight-line and road network density within 1000 metres was 4.1 (CI 2.6, 5.9; P < 0.001). The median of the difference between the road network and straight-line proximity was 203.2 (CI 144.6, 261.9; P < 0.001). Also, the agreement between straight-line and road network densities within 800 (Kappa = 0.38) and 1000 (Kappa = 0.47) metres were fair and moderate, respectively. The agreement between both methods to measure the proximity was fair to moderate (Kappa = 0.40). In addition, the correlation results showed that both the straight-line and road network proximity were negatively correlated to the accessibility score measured. Our findings suggest that the 800 and 1000 metres road network density and proximity may be more appropriate to explore the real relationships between fast food accessibility and diet or health relationships. In addition, the Hansen index is another metric that may be used if the aim of the study is to consider multiple locations when calculating the accessibility score. The availability of best-practice methods would help to explore the food environment in a consistent way and therefore lead to the implementation of effective actions and policies targeting the food environments, particularly around secondary schools.
A developing application of laser-driven currents is the generation of magnetic fields of picosecond–nanosecond duration with magnitudes exceeding
. Single-loop and helical coil targets can direct laser-driven discharge currents along wires to generate spatially uniform, quasi-static magnetic fields on the millimetre scale. Here, we present proton deflectometry across two axes of a single-loop coil ranging from 1 to 2 mm in diameter. Comparison with proton tracking simulations shows that measured magnetic fields are the result of kiloampere currents in the coil and electric charges distributed around the coil target. Using this dual-axis platform for proton deflectometry, robust measurements can be made of the evolution of magnetic fields in a capacitor coil target.
Ices of various compositions and in various phases and combinations with one another are found on planetary surfaces through remote sensing techniques, of which optical spectroscopy is the most powerful and diagnostic. Ices also are found in combination with minerals and organic materials; some complex organic materials are the result of energetic processing of ices, while some may represent organic matter from other sources. Remote spectroscopic observations from Earth-based telescopes and planetary probes are usually interpreted with the aid of radiative transfer models that account for the compositions, particle properties, mixing configurations and other parameters relevant to the materials under consideration. This chapter reviews the spectroscopic character of planetary ices in pure states and in combinations with one another, and with minerals and organic solid materials found by remote sensing techniques and by the analysis of analog materials, both naturally occurring and synthesized in the laboratory and thus available for analytical studies.
The Cassini Visual Infrared Mapping Spectrometer (VIMS) spans a wavelength range of 0.34 to 5.2 µm. Executing numerous close targeted flybys of the major moons of Saturn, as well as serendipitous flybys of the smaller moons, VIMS gathered millions of spectra of these bodies during its 13-year mission, some at spatial resolutions of a few hundred meters. The surfaces of the inner moons are dominated by water ice, while Iapetus, Hyperion, and Titan have substantial amounts of dark materials, including hydrocarbons, on their surfaces. Phoebe is grayer in color in the visible than Saturn’s other low-albedo moons. The surfaces of the inner small moons are also dominated by water ice, and they share compositional similarities to the main rings. The optical properties of the main moons are affected by particles from Saturn’s rings: the inner moons are coated by the E-ring, which originates from cryoactivity on Enceladus, while Iapetus and Hyperion are coated by particles from the Phoebe ring. Cassini VIMS detected previously unknown volatiles and organics on these moons, including CO2, H2, organic molecules as complex as aromatic hydrocarbons, nano-iron, and nano-iron oxides.
Many studies have reported associations between prenatal stress and the development of psychotic, anxiety and depressive disorders; however, to date no studies have investigated potential associations with personality disorders.
This study investigated potential associations between exposure to prenatal stress and personality disorder in offspring.
In a subsample (N = 3626) of a large Finnish birth cohort, we used logistic regression models to examine associations between self-reported maternal stress during pregnancy, collected monthly during antenatal clinic appointments, and personality disorder in offspring. Familial and outcome information were obtained by linking data from the Finnish Hospital Discharge Register and the Finnish Population Register.
Compared with those unexposed, children exposed to any maternal stress during gestation had three times the odds of developing a personality disorder (odds ratio 2.76, 95% CI 1.59–4.80, P = 0.000). Those exposed to moderate stress had three times the odds (odds ratio 3.13, 95% CI 1.42–6.88, P = 0.005) and those exposed to severe stress had seven times the odds (odds ratio 7.06, 95% CI 2.10–23.81, P = 0.002) of developing a personality disorder. These associations remained after adjusting for parental psychiatric history, comorbid psychiatric diagnoses, prenatal smoking and antenatal depression.*
Exposure to stress during gestation increases the odds of personality disorder in offspring, independent of other psychiatric disorders. These results suggest the assessment of maternal stress and well-being during pregnancy may be useful in identifying those at greatest risk of developing personality disorder, and highlight the importance of prenatal care for good maternal mental health during pregnancy.