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People living with epilepsy (PWE) experience higher rates of depression compared with the general population. Depression in PWE is associated with increased seizure burden and reduced quality of life. We aimed to examine clinical and demographic correlates of depression severity using the nine-item Patient Health Questionnaire in PWE experiencing negative health events in the past 6 months.
Aims
(a) To assess how depressive severity correlated with seizure frequency;
(b) To examine how outcomes such as quality of life are influenced by depressive severity;
(c) To investigate how demographic factors affect depressive severity.
Method
Depressive severity was defined as a score of 0–9 for no depression to mild symptoms (NMD), 10–19 for moderate depression (MOD) and 20–27 for severe depression. Continuous variables were analysed using the Kruskal–Wallis equality-of-populations rank test, and categorical variables were compared using Fisher’s exact test. Baseline data were taken from Sequential, Multiple Assignment Randomized Trial no. NCT04705441.
Results
The sample of 159 participants had a mean age of 39.46 years (s.d., 12.15), with the majority (n = 131, 82.4%) identifying as White. A total of 48% (n = 76) of participants met the criteria for NMD, 41% (n = 65) met those for MOD and 11% (n = 18) met those for severe depression. The severe depression group had significantly more seizures in the past 30 days, as well as greater perceived stigma, lower social support and lower quality of life, compared with the other groups. Race was found to correlate with depressive severity in NMD and MOD versus the severe depression group.
Conclusions
Among adults with epilepsy, depressive severity was positively correlated with seizure frequency and stigma and negatively correlated with quality of life, social support and overall functioning. These results highlight the importance of routine screening for depression, and of providing management of these symptoms in comprehensive epilepsy care.
This study aimed to determine the prevalence of paternal perinatal depression (PPND) using the Edinburgh Postnatal Depression Scale (EPDS) among fathers/co-parents at an urban obstetric hospital and identify key predictors of positive screening outcomes.
Methods:
A cross-sectional anonymous online survey was completed by 115 respondents between July 2023 and January 2024. The questionnaire included demographic and clinical items, the EPDS, and the Social Safety and Pleasure Scale (SSPS). An EPDS score ≥ 9 indicated a positive screen for depression. A composite variable for history of mental illness was created based on prior diagnosis, mental health service engagement, and medication use.
Results:
Thirty-three percent of participants screened positive for depression (EPDS ≥ 9); 17.4% had scores ≥ 12. A self-reported history of mental illness significantly predicted positive screening (OR = 4.38, p = 0.001). No significant associations were found with demographic, obstetric, or infant-related variables. Lower SSPS scores were significantly associated with higher EPDS scores.
Conclusion:
Despite limitations, in particular selection bias and small sample size, fathers and co-parents are at increased risk for depressive symptoms in the perinatal period, particularly those with a mental health history. Routine screening and inclusive models of care are needed to support paternal mental health during this vulnerable time.
To determine the rate of healthcare personnel (HCP) glove or gown contamination with methicillin-resistant Staphylococcus aureus (MRSA) and to estimate which patient care interactions and HCP roles are associated with greater contamination.
Design:
Multicenter cohort study.
Setting:
Five Veterans Affairs medical centers in the United States.
Patients and participants:
Patients with a positive MRSA clinical or surveillance culture within the past 7 days were enrolled. Five HCP in the room were observed for each patient. After completion of tasks and prior to room exit, HCP gloves and gowns were cultured separately.
Results:
We enrolled 799 patients and obtained 3,832 glove and gown cultures. Contamination of HCP gloves or gown with MRSA occurred 713 of 3,832 (18.6%) of the time, while 589 of 3,832 (15.4%) of interactions resulted in contamination of gloves, and 319 of 3,831 (8.3%) of interactions resulted in contamination of gowns. The gloves and gowns of physical therapists and occupational therapists were most frequently contaminated. Any interactions that involved touching the patient resulted in glove or gown contamination in 622 of 2,901 (21.4%) of observations, while touching only the environment resulted contamination in 91 of 931 (9.8%) of observations. Rates of glove or gown contamination were similar in the intensive care unit (ICU) and non-ICU.
Conclusions:
Contamination of HCP gloves and gowns with MRSA occurs frequently when caring for Veteran patients particularly when there is direct patient contact. Hospitals may consider optimizing contact precautions by using fewer precautions for low-risk interactions and more precautions for high-risk interactions.
Paleontology provides insights into the history of the planet, from the origins of life billions of years ago to the biotic changes of the Recent. The scope of paleontological research is as vast as it is varied, and the field is constantly evolving. In an effort to identify “Big Questions” in paleontology, experts from around the world came together to build a list of priority questions the field can address in the years ahead. The 89 questions presented herein (grouped within 11 themes) represent contributions from nearly 200 international scientists. These questions touch on common themes including biodiversity drivers and patterns, integrating data types across spatiotemporal scales, applying paleontological data to contemporary biodiversity and climate issues, and effectively utilizing innovative methods and technology for new paleontological insights. In addition to these theoretical questions, discussions touch upon structural concerns within the field, advocating for an increased valuation of specimen-based research, protection of natural heritage sites, and the importance of collections infrastructure, along with a stronger emphasis on human diversity, equity, and inclusion. These questions offer a starting point—an initial nucleus of consensus that paleontologists can expand on—for engaging in discussions, securing funding, advocating for museums, and fostering continued growth in shared research directions.
Tension between professional obligations and extraprofessional caregiving responsibilities is one reason physician scientists leave academic medicine. The COVID-19 pandemic exacerbated this challenge by increasing caregiving demands and decreasing time spent on research as much as 40%. CARES at UAB (Caregiving Affected Research Early-Career Scientists Retention Program at the University of Alabama at Birmingham) provided “extra hands” awards to early-career physician and non-physician research faculty to hire personnel to expedite research projects already awarded but deleteriously affected by caregiving during the pandemic. Evaluation included tracking awardee publications and grants, surveying awardees, and conducting semi-structured individual in-depth interviews. CARES at UAB distributed 28 grants totaling $1,005,266. Twenty-six awardees (93% retention) remain in academia 2.25–3.25 years after award initiation. Awardees attribute over 200 manuscripts to the funding and have secured 15 new NIH K-, R-, and U-series grants. Surveys indicate improved awardee well-being and decreased caregiving burden since receipt of funding. Scientific productivity, feeling valued, sense of community, and lifeline emerged as themes from interviews. Group “listening sessions” yielded university-level recommendations around tenure and promotion, caregiving culture, and mentoring. Resource to hire “extra hands” holds promise to retain early-career physician and non-physician research faculty with extraprofessional caregiving responsibilities.
Archaeogenetics, the study of ancient DNA, can reveal powerful insights into kinship and the movement of individuals in (pre)history. Here, the authors report on the identification of two individuals with genetic profiles consistent with recent sub-Saharan African ancestry, both of whom were buried in early-medieval cemeteries in southern Britain. Focusing primarily on a sub-adult female from Updown in Kent, the authors explore the societal and cultural contexts in which these individuals lived and died, and the widening geographic links indicated by their presence, pointing back to the Byzantine reconquest of North Africa in AD 533–534.
Hereditary hemorrhagic telangiectasia (HHT) is an autosomal dominant genetic disorder leading to vascular malformations in different organ systems. Approximately 10% of patients with HHT have brain vascular malformations (BVMs). Due to the negative health consequences related to BVMs, screening with MRI is recommended. There are no health jurisdictional standards for medical imaging protocols in North America or elsewhere. The objective of this project is to adopt a provincial standardized operating protocol (SOP) to improve diagnostic accuracy and reduce inappropriate imaging in patients with and without HHT in Alberta.
Methods:
Multiple fora were held among the five Alberta Health Services zones with stakeholders from urban, suburban and rural radiology groups, neurology, pulmonology and hematology. The consensus process took five years to complete between 2015 and 2020. The content of the fora was approved by all participants.
Results:
The SOP was implemented in February 2020 and defines that screening for BVMs must include standard unenhanced brain MRI (sagittal T1, axial fluid-attenuated inversion recovery and axial T2) with susceptibility-weighted imaging (SWI), a 3T or 1.5T magnet strength and minimum imaging standards to include 3 mm contiguous slice thickness.
Discussion:
Incorporation of SWI allowed for the elimination of MR contrast to improve access to the local performance of studies within the province, facilitating virtual care.
Conclusion:
A provincial SOP for BVM screening in patients with suspected or confirmed HHT was successfully implemented in Alberta. Gadolinium was avoided, as it was felt to be unnecessary for screening purposes and might complicate imaging at more remote sites.
Identifying use-related residues from stone artefacts has become increasingly important in determining starchy plant exploitation over time and in different locales. Standard methods for processing residues samples are widely available but there is no clear consensus on suitable methods for attributing unknown starch grains to known plant taxa. We revisit the case study of a flaked stone artefact (K/76/S29B) recovered from Phase 1 (c. 10,000 ka) at Kuk Swamp in Papua New Guinea (PNG). Starch grains from taro (Colocasia esculenta) were identified in the residue extraction, but there were other grains that could not be attributed a plant origin at that time. The new analysis applied robust statistical methods, categorial attributes and expert input. In addition to C. esculenta, kudzu bean (Pueraria montana var. lobata) was identified, representing the earliest use of kudzu bean in the PNG highlands. Importantly, we also determined that starch grains from C. esculenta and Dioscorea esculenta are morphologically indistinguishable. We turned to other attributes of potential contributing plant taxa in determining distinguishing features: habit/growing requirements; the sedimentary context of the archaeological find; and environmental settings. Cultural use of both plants, artefacts and artefact technologies can be critical elements in confident identification outcomes, as exemplified here.
Recent changes to US research funding are having far-reaching consequences that imperil the integrity of science and the provision of care to vulnerable populations. Resisting these changes, the BJPsych Portfolio reaffirms its commitment to publishing mental science and advancing psychiatric knowledge that improves the mental health of one and all.
The health benefits of the long-chain omega-3 polyunsaturated fatty acids (PUFA), eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) have been known for over 50 years and underpin the UK population recommendation to consume >450 mg EPA + DHA per day. These recommendations, last revised in 2004, are based mainly on epidemiological evidence. Much research has been conducted in the interim. Most randomised controlled trials (RCT) use doses of EPA + DHA of 840 mg/d or more. For anti-inflammatory, triacylglycerol-lowering and anti-hypertensive effects, >1.5 g EPA + DHA per day is needed. Cognitive benefits are also likely to require these higher intakes. Farmed salmon now contains considerably less EPA + DHA relative to farmed fish of 20 years ago, meaning one portion per week will no longer provide the equivalent of 450 mg EPA + DHA per day. Oily fish alone can only provide a fraction of the EPA + DHA required to meet global needs. Furthermore, there is low global oily fish consumption, with typical intakes of <200 mg EPA + DHA per day, and limited intakes in vegans and vegetarians. Therefore, there is an urgent need for affordable, acceptable, alternative EPA + DHA sources, including vegan/vegetarian friendly options, such as bio-enriched poultry, red meat and milk products; fortified foods; enriched oilseeds (for example, genetically modified Camelina sativa); algae and algal oils; and approaches which enhance endogenous EPA/DHA synthesis. In this narrative review, we suggest that current EPA + DHA intake recommendations are too low, consider EPA/DHA from a holistic health-sustainability perspective and identify research, policy and knowledge mobilisation areas which need attention.
The stars of the Milky Way carry the chemical history of our Galaxy in their atmospheres as they journey through its vast expanse. Like barcodes, we can extract the chemical fingerprints of stars from high-resolution spectroscopy. The fourth data release (DR4) of the Galactic Archaeology with HERMES (GALAH) Survey, based on a decade of observations, provides the chemical abundances of up to 32 elements for 917 588 stars that also have exquisite astrometric data from the Gaia satellite. For the first time, these elements include life-essential nitrogen to complement carbon, and oxygen as well as more measurements of rare-earth elements critical to modern-life electronics, offering unparalleled insights into the chemical composition of the Milky Way. For this release, we use neural networks to simultaneously fit stellar parameters and abundances across the whole wavelength range, leveraging synthetic grids computed with Spectroscopy Made Easy. These grids account for atomic line formation in non-local thermodynamic equilibrium for 14 elements. In a two-iteration process, we first fit stellar labels to all 1 085 520 spectra, then co-add repeated observations and refine these labels using astrometric data from Gaia and 2MASS photometry, improving the accuracy and precision of stellar parameters and abundances. Our validation thoroughly assesses the reliability of spectroscopic measurements and highlights key caveats. GALAH DR4 represents yet another milestone in Galactic archaeology, combining detailed chemical compositions from multiple nucleosynthetic channels with kinematic information and age estimates. The resulting dataset, covering nearly a million stars, opens new avenues for understanding not only the chemical and dynamical history of the Milky Way but also the broader questions of the origin of elements and the evolution of planets, stars, and galaxies.
It remains unclear which individuals with subthreshold depression benefit most from psychological intervention, and what long-term effects this has on symptom deterioration, response and remission.
Aims
To synthesise psychological intervention benefits in adults with subthreshold depression up to 2 years, and explore participant-level effect-modifiers.
Method
Randomised trials comparing psychological intervention with inactive control were identified via systematic search. Authors were contacted to obtain individual participant data (IPD), analysed using Bayesian one-stage meta-analysis. Treatment–covariate interactions were added to examine moderators. Hierarchical-additive models were used to explore treatment benefits conditional on baseline Patient Health Questionnaire 9 (PHQ-9) values.
Results
IPD of 10 671 individuals (50 studies) could be included. We found significant effects on depressive symptom severity up to 12 months (standardised mean-difference [s.m.d.] = −0.48 to −0.27). Effects could not be ascertained up to 24 months (s.m.d. = −0.18). Similar findings emerged for 50% symptom reduction (relative risk = 1.27–2.79), reliable improvement (relative risk = 1.38–3.17), deterioration (relative risk = 0.67–0.54) and close-to-symptom-free status (relative risk = 1.41–2.80). Among participant-level moderators, only initial depression and anxiety severity were highly credible (P > 0.99). Predicted treatment benefits decreased with lower symptom severity but remained minimally important even for very mild symptoms (s.m.d. = −0.33 for PHQ-9 = 5).
Conclusions
Psychological intervention reduces the symptom burden in individuals with subthreshold depression up to 1 year, and protects against symptom deterioration. Benefits up to 2 years are less certain. We find strong support for intervention in subthreshold depression, particularly with PHQ-9 scores ≥ 10. For very mild symptoms, scalable treatments could be an attractive option.
Aerosol-cloud interactions contribute significant uncertainty to modern climate model predictions. Analysis of complex observed aerosol-cloud parameter relationships is a crucial piece of reducing this uncertainty. Here, we apply two machine learning methods to explore variability in in-situ observations from the NASA ACTIVATE mission. These observations consist of flights over the Western North Atlantic Ocean, providing a large repository of data including aerosol, meteorological, and microphysical conditions in and out of clouds. We investigate this dataset using principal component analysis (PCA), a linear dimensionality reduction technique, and an autoencoder, a deep learning non-linear dimensionality reduction technique. We find that we can reduce the dimensionality of the parameter space by more than a factor of 2 and verify that the deep learning method outperforms a PCA baseline by two orders of magnitude. Analysis in the low dimensional space of both these techniques reveals two consistent physically interpretable regimes—a low pollution regime and an in-cloud regime. Through this work, we show that unsupervised machine learning techniques can learn useful information from in-situ atmospheric observations and provide interpretable results of low-dimensional variability.
There is wide variation in institutional sedation strategies in paediatric cardiac ICU. Validated tools such as State Behavioral Scale and Richmond Agitation Sedation Scale were created to help standardise sedation practices.
Methods:
This is a multi-phase, multicentre, prospective project with the goal of optimising safety and comfort for paediatric cardiac ICU patients. Phase one consisted of an educational intervention with a self-paced, web-based video module on optimal sedation practices using validated sedation screening tools. Participant knowledge was assessed via a de-identified, unmatched pre- and post-test survey. Survey scores were reported as an aggregate average score and compared using a t-test.
Results:
There were 259 pre-tests, and 142 post-tests collected during the video-assisted educational intervention. There was a significant increase in mean score on the post-test compared to the pre-test for both instruments: from 4 to 4.8/10 for State Behavioral Scale (p = 0.01) and from 4.5 to 4.9 for Richmond Agitation Sedation Scale (p = 0.04). 81% of respondents who completed the Richmond Agitation Sedation Scale post-test and 88.1% of those who completed the State Behavioral Scale post-test said their practice would change based on the new knowledge acquired.
Conclusion:
We report that our newly developed learning module intervention was effective in increasing short-term knowledge about optimal sedation and sedation scoring. Ongoing phase two efforts include evaluation of long-term compliance of validated sedation screening tools and developing an objective score to measure individual cumulative opioid dosing in the cardiac critical care unit.
West Papua, Australia's near northern neighbour, has for nearly six decades experienced widespread human rights abuses by the Indonesian state and military. In this article we argue that Australia has the responsibility and the expertise to do more to ensure that West Papuans' human rights are being upheld. First, in a situation as serious as that of West Papua, Australia, as a member of the United Nations, we contend, has a political duty to intervene under the United Nation's ‘responsibility to protect’ doctrine. Second, we put forward that Australia also has a historic and moral obligation to the territory: West Papuans provided vital assistance to Australian troops in 1944 during World War 2. In the 1960s, however, Canberra betrayed its neighbour's preparations for self-determination but we argue Australia now has a chance to right this historical wrong by intervening in West Papua's struggle against Indonesian oppression. Third, we argue that because Australia has set a precedent of intervention when it led the humanitarian intervention in East Timor in 1999-2000, we know that intervention is possible and that the necessary political will can be mustered. Whereas Australia's involvement in the East Timor crisis led to long term diplomatic tension between Australia and Indonesia, however, we propose that in this case, Australia's contribution to addressing human rights in West Papua could ultimately strengthen ties between the two countries.
We use a comprehensive new dataset of asset-class returns in 38 developed countries to examine a popular class of retirement spending rules that prescribe annual withdrawals as a constant percentage of the retirement account balance. A 65-year-old couple willing to bear a 5 percent chance of financial ruin can withdraw just 2.31 percent per year, a rate materially lower than conventional advice (e.g., the 4% rule). Our estimates of failure rates under conventional withdrawal policies have important implications for individuals (e.g., savings rates, retirement timing, and retirement consumption), public policy (e.g., participation rates in means-tested programs), and society (e.g., elderly poverty rates).
To identify risk factors for methicillin-susceptible (MSSA) and methicillin-resistant S. aureus (MRSA) nasal carriage and surgical site infection (SSI) among patients undergoing fracture fixation procedures who were included in a quality improvement protocol involving screening patients for S. aureus nasal carriage and treating carriers with intranasal mupirocin and chlorhexidine bathing.
Design:
Retrospective cohort study.
Setting:
Level 1 trauma center.
Participants:
1,254 adults who underwent operative fixation of 1,298 extremity or pelvis fractures between 8/1/2014 – 7/31/2017.
Methods:
We calculated rates of S. aureus nasal carriage and SSI. We used multivariable stepwise logistic regression and selected the final models based on Akaike information criterion.
Results:
Of the 1,040 screened first procedures, 262 (25.19%) were performed on S. aureus nasal carriers: 211 (20.29%) on MSSA carriers and 51 (4.90%) on MRSA carriers. Long-term care facility residence (odds ratio [OR] 3.38; 95% confidence interval [CI] 1.17–9.76) was associated with MRSA nasal carriage. After adjusting for statistically and clinically significant variables, MRSA carriage was significantly associated with any SSI (OR 4.58; 95% CI 1.63–12.88), S. aureus SSI (OR 10.11; 95% CI 3.25–31.42), and MRSA SSI (OR 27.25; 95% CI 5.33–139.24), whereas MSSA carriage was not. Among S. aureus carriers, any chlorhexidine use was documented for 232 (88.55%), and any intranasal mupirocin was documented for 85 (40.28%) MSSA carriers and 33 (64.71%) MRSA carriers.
Conclusions:
MRSA carriage was associated with a significant risk of SSI after operative fracture fixation. Many carriers did not undergo decolonization, suggesting that a simplified decolonization protocol is needed.
Negative symptoms are a key feature of several psychiatric disorders. Difficulty identifying common neurobiological mechanisms that cut across diagnostic boundaries might result from equifinality (i.e., multiple mechanistic pathways to the same clinical profile), both within and across disorders. This study used a data-driven approach to identify unique subgroups of participants with distinct reward processing profiles to determine which profiles predicted negative symptoms.
Methods
Participants were a transdiagnostic sample of youth from a multisite study of psychosis risk, including 110 individuals at clinical high-risk for psychosis (CHR; meeting psychosis-risk syndrome criteria), 88 help-seeking participants who failed to meet CHR criteria and/or who presented with other psychiatric diagnoses, and a reference group of 66 healthy controls. Participants completed clinical interviews and behavioral tasks assessing four reward processing constructs indexed by the RDoC Positive Valence Systems: hedonic reactivity, reinforcement learning, value representation, and effort–cost computation.
Results
k-means cluster analysis of clinical participants identified three subgroups with distinct reward processing profiles, primarily characterized by: a value representation deficit (54%), a generalized reward processing deficit (17%), and a hedonic reactivity deficit (29%). Clusters did not differ in rates of clinical group membership or psychiatric diagnoses. Elevated negative symptoms were only present in the generalized deficit cluster, which also displayed greater functional impairment and higher psychosis conversion probability scores.
Conclusions
Contrary to the equifinality hypothesis, results suggested one global reward processing deficit pathway to negative symptoms independent of diagnostic classification. Assessment of reward processing profiles may have utility for individualized clinical prediction and treatment.
Amur honeysuckle [Lonicera maackii (Rupr.) Herder] is an aggressive invader of forests throughout the eastern United States. While self-pollination has been identified as an important trait of invasive plant species, this trait is understudied, and L. maackii is anecdotally described as lacking this characteristic. To examine the ability of L. maackii to self-pollinate, we selected 171 individual shrubs distributed across nine sites. Each site was grouped into one of three invasion types: heavy, light, and sprouting (sites on which a basal cutting treatment previously occurred, but L. maackii was allowed to reestablish). We compared the number of berries, seeds per berry, and seed germination rates of self- and open-pollinated flowers by pairing branches covered with pollination bags before flower emergence with uncovered branches on the same individual shrub. Out of 171 individuals, 48 produced berries from self-pollination within pollination bags (28%), with 48% of bagged branches exhibiting some degree of necrosis or chlorosis, presumably due to increased temperature and humidity. Berries from self-pollination produced 1.5 ± 1.4 (mean ± 1 SD) seeds per berry, whereas berries resulting from open pollination produced 3.3 ± 1.5 seeds per berry. In a germination trial, 47.3% of self-pollinated seeds germinated compared with 41.7% of open-pollinated seeds. This study has shown that L. maackii can self-pollinate and set viable seed, providing the species with an important mechanism to increase population abundance during the early stages of invasion.
Information on the time spent completing cognitive testing is often collected, but such data are not typically considered when quantifying cognition in large-scale community-based surveys. We sought to evaluate the added value of timing data over and above traditional cognitive scores for the measurement of cognition in older adults.
Method:
We used data from the Longitudinal Aging Study in India-Diagnostic Assessment of Dementia (LASI-DAD) study (N = 4,091), to assess the added value of timing data over and above traditional cognitive scores, using item-specific regression models for 36 cognitive test items. Models were adjusted for age, gender, interviewer, and item score.
Results:
Compared to Quintile 3 (median time), taking longer to complete specific items was associated (p < 0.05) with lower cognitive performance for 67% (Quintile 5) and 28% (Quintile 4) of items. Responding quickly (Quintile 1) was associated with higher cognitive performance for 25% of simpler items (e.g., orientation for year), but with lower cognitive functioning for 63% of items requiring higher-order processing (e.g., digit span test). Results were consistent in a range of different analyses adjusting for factors including education, hearing impairment, and language of administration and in models using splines rather than quintiles.
Conclusions:
Response times from cognitive testing may contain important information on cognition not captured in traditional scoring. Incorporation of this information has the potential to improve existing estimates of cognitive functioning.