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Patients with posttraumatic stress disorder (PTSD) exhibit smaller regional brain volumes in commonly reported regions including the amygdala and hippocampus, regions associated with fear and memory processing. In the current study, we have conducted a voxel-based morphometry (VBM) meta-analysis using whole-brain statistical maps with neuroimaging data from the ENIGMA-PGC PTSD working group.
Methods
T1-weighted structural neuroimaging scans from 36 cohorts (PTSD n = 1309; controls n = 2198) were processed using a standardized VBM pipeline (ENIGMA-VBM tool). We meta-analyzed the resulting statistical maps for voxel-wise differences in gray matter (GM) and white matter (WM) volumes between PTSD patients and controls, performed subgroup analyses considering the trauma exposure of the controls, and examined associations between regional brain volumes and clinical variables including PTSD (CAPS-4/5, PCL-5) and depression severity (BDI-II, PHQ-9).
Results
PTSD patients exhibited smaller GM volumes across the frontal and temporal lobes, and cerebellum, with the most significant effect in the left cerebellum (Hedges’ g = 0.22, pcorrected = .001), and smaller cerebellar WM volume (peak Hedges’ g = 0.14, pcorrected = .008). We observed similar regional differences when comparing patients to trauma-exposed controls, suggesting these structural abnormalities may be specific to PTSD. Regression analyses revealed PTSD severity was negatively associated with GM volumes within the cerebellum (pcorrected = .003), while depression severity was negatively associated with GM volumes within the cerebellum and superior frontal gyrus in patients (pcorrected = .001).
Conclusions
PTSD patients exhibited widespread, regional differences in brain volumes where greater regional deficits appeared to reflect more severe symptoms. Our findings add to the growing literature implicating the cerebellum in PTSD psychopathology.
The impact of chronic pain and opioid use on cognitive decline and mild cognitive impairment (MCI) is unclear. We investigated these associations in early older adulthood, considering different definitions of chronic pain.
Methods:
Men in the Vietnam Era Twin Study of Aging (VETSA; n = 1,042) underwent cognitive testing and medical history interviews at average ages 56, 62, and 68. Chronic pain was defined using pain intensity and interference ratings from the SF-36 over 2 or 3 waves (categorized as mild versus moderate-to-severe). Opioid use was determined by self-reported medication use. Amnestic and non-amnestic MCI were assessed using the Jak-Bondi approach. Mixed models and Cox proportional hazards models were used to assess associations of pain and opioid use with cognitive decline and risk for MCI.
Results:
Moderate-to-severe, but not mild, chronic pain intensity (β = −.10) and interference (β = −.23) were associated with greater declines in executive function. Moderate-to-severe chronic pain intensity (HR = 1.75) and interference (HR = 3.31) were associated with a higher risk of non-amnestic MCI. Opioid use was associated with a faster decline in verbal fluency (β = −.18) and a higher risk of amnestic MCI (HR = 1.99). There were no significant interactions between chronic pain and opioid use on cognitive decline or MCI risk (all p-values > .05).
Discussion:
Moderate-to-severe chronic pain intensity and interference related to executive function decline and greater risk of non-amnestic MCI; while opioid use related to verbal fluency decline and greater risk of amnestic MCI. Lowering chronic pain severity while reducing opioid exposure may help clinicians mitigate later cognitive decline and dementia risk.
Current evidence underscores a need to transform how we do clinical research, shifting from academic-driven priorities to co-led community partnership focused programs, accessible and relevant career pathway programs that expand opportunities for career development, and design of trainings and practices to develop cultural competence among research teams. Failures of equitable research translation contribute to health disparities. Drivers of this failed translation include lack of diversity in both researchers and participants, lack of alignment between research institutions and the communities they serve, and lack of attention to structural sources of inequity and drivers of mistrust for science and research. The Duke University Research Equity and Diversity Initiative (READI) is a program designed to better align clinical research programs with community health priorities through community engagement. Organized around three specific aims, READI-supported programs targeting increased workforce diversity, workforce training in community engagement and cultural competence, inclusive research engagement principles, and development of trustworthy partnerships.
Bronze Age–Early Iron Age tin ingots recovered from four Mediterranean shipwrecks off the coasts of Israel and southern France can now be provenanced to tin ores in south-west Britain. These exceptionally rich and accessible ores played a fundamental role in the transition from copper to full tin-bronze metallurgy across Europe and the Mediterranean during the second millennium BC. The authors’ application of a novel combination of three independent analyses (trace element, lead and tin isotopes) to tin ores and artefacts from Western and Central Europe also provides the foundation for future analyses of the pan-continental tin trade in later periods.
Objectives/Goals: Magnetic resonance imaging (MRI) reports are stored as unstructured text in the electronic health record (EHR), rendering the data inaccessible. Large language models (LLM) are a new tool for analyzing and generating unstructured text. We aimed to evaluate how well an LLM extracts data from MRI reports compared to manually abstracted data. Methods/Study Population: The University of California, San Francisco has deployed a HIPAA-compliant internal LLM tool utilizing GPT-4 technology and approved for PHI use. We developed a detailed prompt instructing the LLM to extract data elements from prostate MRI reports and to output the results in a structured, computer-readable format. A data pipeline was built using the OpenAI Application Programming Interface (API) to automatically extract distinct data elements from the MRI report that are important in prostate cancer care. Each prompt was executed five times and data were compared with the modal responses to determine variability of responses. Accuracy was also assessed. Results/Anticipated Results: Across 424 prostate MRI reports, GPT-4 response accuracy was consistently above 95% for most parameters. Individual field accuracies were 98.3% (96.3–99.3%) for PSA density, 97.4% (95.4–98.7%) for extracapsular extension, 98.1% (96.3–99.2%) for TNM Stage, had an overall median of 98.1% (96.3–99.2%), a mean of 97.2% (95.2–98.3%), and a range of 99.8% (98.7–100.0%) to 87.7% (84.2–90.7%). Response variability over five repeated runs ranged from 0.14% to 3.61%, differed based on the data element extracted (p Discussion/Significance of Impact: GPT-4 was highly accurate in extracting data points from prostate cancer MRI reports with low upfront programming requirements. This represents an effective tool to expedite medical data extraction for clinical and research use cases.
The Early Minimally Invasive Removal of Intracerebral Hemorrhage (ENRICH) trial demonstrated that minimally invasive surgery to treat spontaneous lobar intracerebral hemorrhage (ICH) improved functional outcomes. We aimed to explore current management trends for spontaneous lobar ICH in Canada to assess practice patterns and determine whether further randomized controlled trials are needed to clarify the role of surgical intervention.
Methods:
Neurologists, neurosurgeons, physiatrists and trainees in these specialties were invited to complete a 16-question survey exploring three areas: (1) current management for spontaneous lobar ICH at their institution, (2) perceived influence of ENRICH on their practice and (3) perceived need for additional clinical trial data. Standard descriptive statistics were used to report categorical variables. The χ2 test was used to compare responses across specialties and career stages.
Results:
The survey was sent to 433 physicians, and 101 (23.3%) responded. Sixty-eight percent of participants reported that prior to publication of the ENRICH trial, spontaneous lobar ICH was primarily managed conservatively, with surgery reserved for life-threatening situations. Forty-three percent of participants did not foresee a significant increase in surgical intervention at their institution. Of neurosurgical respondents, 33% remained hesitant to offer surgical intervention beyond lifesaving operations. Only 5% reported routinely using specifically designed technologies to evacuate ICH. Seventy percent reported that another randomized controlled trial comparing nonsurgical to surgical management for spontaneous lobar ICH is needed.
Conclusions:
There is significant practice variability in the management of spontaneous lobar ICH across Canadian institutions, stressing the need for additional clinical trial data to determine the role of surgical intervention.
The recommended first-line treatment for insomnia is cognitive behavioral therapy for insomnia (CBTi), but access is limited. Telehealth- or internet-delivered CBTi are alternative ways to increase access. To date, these intervention modalities have never been compared within a single study. Further, few studies have examined (a) predictors of response to the different modalities, (b) whether successfully treating insomnia can result in improvement of health-related biomarkers, and (c) mechanisms of change in CBTi. This protocol was designed to compare the three CBTi modalities to each other and a waitlist control for adults aged 50–65 years (N = 100). Participants are randomly assigned to one of four study arms: in-person- (n = 30), telehealth- (n = 30) internet-delivered (n = 30) CBTi, or 12-week waitlist control (n = 10). Outcomes include self-reported insomnia symptom severity, polysomnography, circadian rhythms of activity and core body temperature, blood- and sweat-based biomarkers, cognitive functioning and magnetic resonance imaging.
Innovation is needed for the growing number of patients with chronic obstructive pulmonary disease (COPD). Pulmonary rehabilitation (PR) is effective in improving exercise tolerance and quality of life, but these benefits do not appear to be sustained. This highlights the need for cost effective methods to maintain benefits on completion of therapy. The findings of a large trial from the UK are reported.
Methods
A two-center randomized controlled trial of patients discharged from PR compared the costs and benefits of PR maintenance with standard care. National Health Service (NHS) resource use, personal expenditure, and societal costs were recorded over one year, and bottom-up costing was undertaken for the PR maintenance program. Changes in health-related quality of life were recorded using the EQ-5D-5L, and differences were compared with the level identified as significant for COPD. A cost utility analysis was undertaken from an NHS perspective; uncertainties in cost and outcome data were incorporated into a sensitivity analysis. Cost-effectiveness ratios and cost-effectiveness acceptability curves (CEACs) were computed.
Results
The study included 116 patients who had finished PR within the last four weeks. The economic analysis showed that mean healthcare costs per patient for PR maintenance were approximately GBP139.72 (EUR165.57) lower than for usual care. The observed 0.118 advantage in mean quality-adjusted life-years (QALYs) (p<0.05) was above the threshold (0.051) for COPD significance. CEACs indicated there was a 97 percent chance of achieving GBP20,000 (EUR23,699.80) per QALY (NICE acceptance level ≤GBP30,000 (EUR35,549.70). Patient and societal costs increased this percentage. It was estimated that if patients with COPD completed a maintenance program following PR, the NHS could save up to GBP28.6 million (EUR33.89 million).
Conclusions
Our findings confirm that a structured PR maintenance program is highly cost effective in extending the benefits of short-term PR. The trial, undertaken during COVID, also signals the potential for emerging digital innovations to provide future transformative change in delivering self-management programs to sustain health and reduce NHS costs for people living with chronic conditions.
Young stellar objects (YSOs) are protostars that exhibit bipolar outflows fed by accretion disks. Theories of the transition between disk and outflow often involve a complex magnetic field structure thought to be created by the disk coiling field lines at the jet base; however, due to limited resolution, these theories cannot be confirmed with observation and thus may benefit from laboratory astrophysics studies. We create a dynamically similar laboratory system by driving a $\sim$1 MA current pulse with a 200 ns rise through a $\approx$2 mm-tall Al cylindrical wire array mounted to a three-dimensional (3-D)-printed, stainless steel scaffolding. This system creates a plasma that converges on the centre axis and ejects cm-scale bipolar outflows. Depending on the chosen 3-D-printed load path, the system may be designed to push the ablated plasma flow radially inwards or off-axis to make rotation. In this paper, we present results from the simplest iteration of the load which generates radially converging streams that launch non-rotating jets. The temperature, velocity and density of the radial inflows and axial outflows are characterized using interferometry, gated optical and ultraviolet imaging, and Thomson scattering diagnostics. We show that experimental measurements of the Reynolds number and sonic Mach number in three different stages of the experiment scale favourably to the observed properties of YSO jets with $Re\sim 10^5\unicode{x2013}10^9$ and $M\sim 1\unicode{x2013}10$, while our magnetic Reynolds number of $Re_M\sim 1\unicode{x2013}15$ indicates that the magnetic field diffuses out of our plasma over multiple hydrodynamical time scales. We compare our results with 3-D numerical simulations in the PERSEUS extended magnetohydrodynamics code.
Debate surrounds the early peopling of the Arabian Peninsula. The first evidence of the Levallois lithic technology in the Huqf area of south-eastern Arabia now extends the Middle Palaeolithic record of hominin activity into central Oman and helps to diversify the picture of Arabian prehistory.
In response to the COVID-19 pandemic, we rapidly implemented a plasma coordination center, within two months, to support transfusion for two outpatient randomized controlled trials. The center design was based on an investigational drug services model and a Food and Drug Administration-compliant database to manage blood product inventory and trial safety.
Methods:
A core investigational team adapted a cloud-based platform to randomize patient assignments and track inventory distribution of control plasma and high-titer COVID-19 convalescent plasma of different blood groups from 29 donor collection centers directly to blood banks serving 26 transfusion sites.
Results:
We performed 1,351 transfusions in 16 months. The transparency of the digital inventory at each site was critical to facilitate qualification, randomization, and overnight shipments of blood group-compatible plasma for transfusions into trial participants. While inventory challenges were heightened with COVID-19 convalescent plasma, the cloud-based system, and the flexible approach of the plasma coordination center staff across the blood bank network enabled decentralized procurement and distribution of investigational products to maintain inventory thresholds and overcome local supply chain restraints at the sites.
Conclusion:
The rapid creation of a plasma coordination center for outpatient transfusions is infrequent in the academic setting. Distributing more than 3,100 plasma units to blood banks charged with managing investigational inventory across the U.S. in a decentralized manner posed operational and regulatory challenges while providing opportunities for the plasma coordination center to contribute to research of global importance. This program can serve as a template in subsequent public health emergencies.
Palmer amaranth with resistance to dicamba, glufosinate, and protoporphyrinogen oxidase inhibitors has been documented in several southern states. With extensive use of these and other herbicides in South Carolina, a survey was initiated in fall 2020 and repeated in fall 2021 and 2022 to determine the relative response of Palmer amaranth accessions to selected preemergence and postemergence herbicides. A greenhouse screening experiment was conducted in which accessions were treated with three preemergence (atrazine, S-metolachlor, and isoxaflutole) and six postemergence (glyphosate, thifensulfuron-methyl, fomesafen, glufosinate, dicamba, and 2,4-D) herbicides at the 1× and 2× use rates. Herbicides were applied shortly after planting (preemergence) or at the 2- to 4-leaf growth stage (postemergence). Percent survival was evaluated 5 to 14 d after application depending on herbicide activity. Sensitivity to atrazine preemergence was lower for 49 and 33 accessions out of 115 to atrazine applied preemergence at the 1× and 2× rate, respectively. Most of the accessions (90%) were controlled by isoxaflutole applied preemergence at the 1× rate. Response to S-metolachlor applied preemergence indicated that 34% of the Palmer amaranth accessions survived the 1× rate (>60% survival). Eleven accessions exhibited reduced sensitivity to fomesafen applied postemergence; however, these percentages were not different from the 0% survivor group. Glyphosate applied postemergence at the 1× rate did not control most accessions (79%). Palmer amaranth response to thifensulfuron-methyl applied postemergence varied across the accessions, with only 36% and 28% controlled at the 1× rate and 2× rate, respectively. All accessions were controlled by 2,4-D, dicamba, or glufosinate when they were applied postemergence. Palmer amaranth accessions from this survey exhibited reduced susceptibility to several herbicides commonly used in agronomic crops in South Carolina. Therefore, growers should use multiple management tactics to minimize the evolution of herbicide resistance in Palmer amaranth in South Carolina.
Childhood bullying is a public health priority. We evaluated the effectiveness and costs of KiVa, a whole-school anti-bullying program that targets the peer context.
Methods
A two-arm pragmatic multicenter cluster randomized controlled trial with embedded economic evaluation. Schools were randomized to KiVa-intervention or usual practice (UP), stratified on school size and Free School Meals eligibility. KiVa was delivered by trained teachers across one school year. Follow-up was at 12 months post randomization. Primary outcome: student-reported bullying-victimization; secondary outcomes: self-reported bullying-perpetration, participant roles in bullying, empathy and teacher-reported Strengths and Difficulties Questionnaire. Outcomes were analyzed using multilevel linear and logistic regression models.
Findings
Between 8/11/2019–12/02/2021, 118 primary schools were recruited in four trial sites, 11 111 students in primary analysis (KiVa-intervention: n = 5944; 49.6% female; UP: n = 5167, 49.0% female). At baseline, 21.6% of students reported being bullied in the UP group and 20.3% in the KiVa-intervention group, reducing to 20.7% in the UP group and 17.7% in the KiVa-intervention group at follow-up (odds ratio 0.87; 95% confidence interval 0.78 to 0.97, p value = 0.009). Students in the KiVa group had significantly higher empathy and reduced peer problems. We found no differences in bullying perpetration, school wellbeing, emotional or behavioral problems. A priori subgroup analyses revealed no differences in effectiveness by socioeconomic gradient, or by gender. KiVa costs £20.78 more per pupil than usual practice in the first year, and £1.65 more per pupil in subsequent years.
Interpretation
The KiVa anti-bullying program is effective at reducing bullying victimization with small-moderate effects of public health importance.
Funding
The study was funded by the UK National Institute for Health and Care Research (NIHR) Public Health Research program (17-92-11). Intervention costs were funded by the Rayne Foundation, GwE North Wales Regional School Improvement Service, Children's Services, Devon County Council and HSBC Global Services (UK) Ltd.
Space as a domain of economic and security competition between great powers has risen to become an arena of active statecraft for middle powers in the twenty-first century. It has set a high-stake stage for not only continuing struggles for catch-up industrialization of late developers but also offering opportunities to capture commercial gains of technological breakthroughs and globalization of markets. We examine these challenges for Taiwan and Thailand, surveying major trends in the emerging space industry and exploring four analytical perspectives on how government-business relations shape adaptive national industrial policies in high-technology sectors with proliferating end-users. We argue that the Asian developmental state model is evolving in response to specific challenges of a global supply chain for commercial space activities dominated by leading space firms and government regulatory actions in the United States. Significant differences in Taiwan’s and Thailand’s space and industrial policy approaches will likely create divergent technological trajectories and reinforce current constraints on improving national security. The longer-term prospect for middle spacepowers remains contingent on the space race between the United States and the People’s Republic of China.
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.
Depression is an independent risk factor for cardiovascular disease (CVD), but it is unknown if successful depression treatment reduces CVD risk.
Methods
Using eIMPACT trial data, we examined the effect of modernized collaborative care for depression on indicators of CVD risk. A total of 216 primary care patients with depression and elevated CVD risk were randomized to 12 months of the eIMPACT intervention (internet cognitive-behavioral therapy [CBT], telephonic CBT, and select antidepressant medications) or usual primary care. CVD-relevant health behaviors (self-reported CVD prevention medication adherence, sedentary behavior, and sleep quality) and traditional CVD risk factors (blood pressure and lipid fractions) were assessed over 12 months. Incident CVD events were tracked over four years using a statewide health information exchange.
Results
The intervention group exhibited greater improvement in depressive symptoms (p < 0.01) and sleep quality (p < 0.01) than the usual care group, but there was no intervention effect on systolic blood pressure (p = 0.36), low-density lipoprotein cholesterol (p = 0.38), high-density lipoprotein cholesterol (p = 0.79), triglycerides (p = 0.76), CVD prevention medication adherence (p = 0.64), or sedentary behavior (p = 0.57). There was an intervention effect on diastolic blood pressure that favored the usual care group (p = 0.02). The likelihood of an incident CVD event did not differ between the intervention (13/107, 12.1%) and usual care (9/109, 8.3%) groups (p = 0.39).
Conclusions
Successful depression treatment alone is not sufficient to lower the heightened CVD risk of people with depression. Alternative approaches are needed.
Introduction: Second-generation antipsychotics are widely used in psychiatry but are associated with weight gain. Obesity is more prevalent in mental illness and may contribute to the mortality gap. Non-pharmacological management of antipsychotic-induced weight gain (AIWG) has limited success whilst pharmacological treatment typically involves antidiabetic medications that psychiatrists have less experience with. Recent developments in the field have shown promise with using centrally-acting opioid receptor antagonists (CORAs) at treating AIWG.
Objective: Review and synthesise the available RCT evidence on the efficacy of CORAs at treating AIWG.
Methods
Methodology: Four databases (Medline, Embase, PsycINFO, Cochrane) were searched, from database inception to present, for RCTs using CORAs (naloxone, naltrexone, samidorphan) to reduce AIWG. Our primary outcome sought was weight change in kilograms, with secondary outcomes of change in percentage of body weight, waist circumference and 7% or 10% weight change thresholds. We used random-effects meta-analysis due to study heterogeneity.
Results
A total of 450 articles were found (319 post-deduplication), of which seven met criteria (samidorphan = 4, naltrexone = 3, naloxone = 0) including n = 1,416 patients. On meta-analysis, change in body weight (kg) for CORAs as a class was statistically significant (RE = 1.37 kg; 95% CI: 0.51, 2.24). However, change in BMI was not statistically significant (RE = 0.61kg/m2; 95% CI: −0.56, 1.78). Remaining analysis was only available for samidorphan, which showed statistically significant improvement in change in body weight (%) (RE = 1.81%; 95% CI: 1.07, 2.55), absolute risk of weight gain ≥7% (RE = 12.41%; 95% CI: 6.55, 18.27), absolute risk of weight gain ≥10% (RE = 10.83%; 95% CI: 5.46, 16.21), and change in waist circumference (RE = 1.50 cm; 95% CI: 0.32, 2.67).
Conclusion
Evidence is strongest for samidorphan, though CORAs as a class remains poorly researched and the benefits are modest. Additionally, samidorphan is currently only available in the combination medication olanzapine-samidorphan and the literature reflects this. Further research is needed to examine its efficacy in AIWG from other antipsychotics.
The authors report on ancient DNA data from two human skeletons buried within the chancel of the 1608–1616 church at the North American colonial settlement of Jamestown, Virginia. Available archaeological, osteological and documentary evidence suggest that these individuals are Sir Ferdinando Wenman and Captain William West, kinsmen of the colony's first Governor, Thomas West, Third Baron De La Warr. Genomic analyses of the skeletons identify unexpected maternal relatedness as both carried the mitochondrial haplogroup H10e. In this unusual case, aDNA prompted further historical research that led to the discovery of illegitimacy in the West family, an aspect of identity omitted, likely intentionally, from genealogical records.