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Objectives/Goals: Lung transplant is a life-saving surgery for patients with advanced lung diseases yet long-term survival remains poor. The clinical features and lung injury patterns of lung transplant recipients who die early versus those who survive longer term remain undefined. Here, we use cell-free DNA and rejection parameters to help elucidate this further. Methods/Study Population: Lung transplant candidacy prioritizes patients who have a high mortality risk within 2 years and will likely survive beyond 5 years. We stratified patients who died within 2 years of transplant as early death (n = 50) and those who survived past 5 years as long-term survivors (n = 53). Lung transplant recipients had serial blood collected as part of two prospective cohort studies. Cell-free DNA (cfDNA) was quantified using relative (% donor-derived cfDNA {%ddcfDNA}) and absolute (nuclear-derived {n-cfDNA}, mitochondrial-derived {mt-cfDNA}) measurements. As part of routine posttransplant clinical care, all patients underwent pulmonary function testing (PFT), surveillance bronchoscopy with bronchoalveolar lavage (BAL), transbronchial biopsy (TBBx), and donor-specific antibody testing (DSA). Results/Anticipated Results: Over the first 2 years after transplant, the number of episodes of antibody-mediated rejection (p) Discussion/Significance of Impact: Clinically, early-death patients perform worse on routine surveillance PFTs and experience a worse degree of CLAD. These patients also have higher levels of cfDNA as quantified by n-cfDNA and mt-cfDNA. These results provide preliminary evidence that early-death patients have worse allograft rejection, dysfunction, and molecular injury.
Non-traumatic back pain commonly leads people to seek health care from paramedics via triple-zero (emergency phone number in Australia), yet the management approaches by providers of ambulance services remain unclear.
Study Objectives:
This study aims to investigate paramedic management of non-traumatic back pain in New South Wales (NSW), Australia, including the call characteristics, provisional diagnoses, and the clinical care being delivered by paramedics.
Methods:
This study is a retrospective analysis of NSW Ambulance computer-aided dispatch and electronic medical records from January 1, 2017 through December 31, 2022. Adults who sought ambulance service with a chief complaint of back pain, were triaged as non-traumatic back pain, and subsequently received treatment by paramedics were included. Multivariable logistic regression models were used to explore factors associated with primary outcomes; ambulance transport, opioid use, and use of medication combinations were reported as odds ratios (ORs).
Results:
There were 73,128 calls to NSW Ambulance with a chief complaint of back pain that were triaged as non-traumatic back pain. Of these, 54,444 (74.4%) were diagnosed with spinal pain, of which 52,825 (97.1%) were categorized by the paramedic as back or neck pain, 1,573 (2.9%) as lumbar radicular pain, and 46 (0.1%) as serious spinal pathology. Eight out of ten patients with spinal pain were transported to emergency departments. The medicine most administered by a paramedic was an opioid (37.4% of patients with spinal pain). Older patients (OR = 1.36; 95% CI, 1.30 to 1.44) were more likely to be transported to an emergency department. Patients with moderate (OR = 4.39; 95% CI, 4.00 to 4.84) and severe pain (OR = 18.90; 95% CI, 17.18 to 20.79) were more likely to be administered an opioid.
Conclusions:
Paramedic management of non-traumatic back pain in NSW typically results in the administration of an opioid and transport to an emergency department.
Combine modifications for harvest weed seed control, like the Redekop Seed Control Unit (SCU) and the integrated Harrington Seed Destructor (iHSD), have been successfully used to kill problematic weed seeds in small grain production in Australia. These seed impact mills could have a fit in US soybean [Glycine max (L.) Merr.] production. Testing the seed kill rate of problematic weed species in soybean is important for confirming the efficacy of the mills. Additionally, the mills may be affected by changes in crop yield and harvest residue moisture as they can have an impact on chaff flow rate and chaff moisture, respectively. This research aimed to determine the seed kill percent for problematic weeds and how varying chaff flow rates and chaff moisture content in soybean chaff affect the seed kill rate and horsepower draw of two different impact mills, the Redekop SCU and the iHSD. All testing was conducted using stationary test stands. Chaff flow rate and chaff moisture levels tested ranged from 0.5x to 2x standard combine throughput and 11.7%-28.6% moisture, respectively. All tested species were killed at >98% by both mills. Increasing chaff flow rate resulted in a decrease in seed kill for all tested species with the iHSD and only common ragweed (Ambrosia artemisiifolia L.) with the Redekop SCU. Increasing chaff moisture only resulted in a decrease in seed kill for Palmer amaranth (Amaranthus palmeri S. Watson) with the iHSD. Data evaluating the horsepower needed to power the mills also indicated that chaff flow rate and chaff moisture resulted in a significant increase in horsepower draw. With generally high kill rates (>98%) and the ability to kill weed seeds at >98% in less-than-ideal harvest conditions (i.e. high moisture chaff), seed impact mills could be used in soybean production to reduce weed seed inputs into the soil seedbank during harvest.
Seed impact mills, like the Redekop Seed Control Unit (SCU) and the integrated Harrington Seed Destructor (iHSD), have the potential to fit within the U.S. wheat (Triticum aestivum L.) production system, but they may be affected by changes in crop yield and harvest residues moisture as they can have an impact on chaff flow rate and chaff moisture, respectively. This research aimed to determine the seed kill of problematic weed species and how varying chaff flow rates and chaff moisture affect seed kill and horsepower draw of the SCU and the iHSD. Four different chaff flow rates were tested at 0.75, 1.5, 2.25, and 3.0 kg sec-1, which spans 0.5x to 2x of a combines standard throughput. Additionally, four chaff moisture contents were tested at 10.7%, 16.4%, 22.1%, and 27.8%, which span and exceed typical harvest conditions. Results indicated that >91% of all weed seeds of the tested species were killed by either mill. Seed kill decreased by 7.9% and 0.08% for every 1 kg increase in chaff flow rate for Italian ryegrass [Lolium perenne L. ssp. multiflorum (Lam.) Husnot] and hairy vetch (Vicia villosa Roth), respectively, for the iHSD. Seed kill also decreased by 3.4% for every 1 kg increase in chaff flow rate for weedy L. perenne ssp. multiflorum for the SCU. Increasing chaff moisture resulted in seed kill decreasing by 0.43% and 0.015% for every 1% increase in chaff moisture for weedy L. perenne ssp. multiflorum and Brassica napus L., respectively, with the SCU. Both chaff flow rate and chaff moisture had a significant effect on horsepower draw for both mills compared to an empty mill. Despite the increase in horsepower draw and the decrease in seed kill, these data indicate the potential for seed impact mills to operate in less-than-ideal conditions while still providing seed kill rates >74%.
Elastoinertial turbulence (EIT) is a chaotic state that emerges in the flows of dilute polymer solutions. Direct numerical simulation (DNS) of EIT is highly computationally expensive due to the need to resolve the multiscale nature of the system. While DNS of two-dimensional (2-D) EIT typically requires $O(10^6)$ degrees of freedom, we demonstrate here that a data-driven modelling framework allows for the construction of an accurate model with 50 degrees of freedom. We achieve a low-dimensional representation of the full state by first applying a viscoelastic variant of proper orthogonal decomposition to DNS results, and then using an autoencoder. The dynamics of this low-dimensional representation is learned using the neural ordinary differential equation (NODE) method, which approximates the vector field for the reduced dynamics as a neural network. The resulting low-dimensional data-driven model effectively captures short-time dynamics over the span of one correlation time, as well as long-time dynamics, particularly the self-similar, nested travelling wave structure of 2-D EIT in the parameter range considered.
The Weill Cornell Heart to Heart Community Outreach Campaign (H2H) is a free outreach program that provides mobile health screenings. The program brings medical and nursing faculty and students to the underserved, uninsured communities of New York City. Participants are screened for diabetes and heart disease risk factors through onsite exams, including point of care blood tests. If an abnormality is found, they receive a medical consultation to offer personalized advice and referrals to free/low-cost clinics when needed. The goal is to help underserved individuals understand their cardiometabolic health and to promote early intervention. This article describes the development of the program, including factors that were essential to the collaboration, challenges faced, barriers to implementation, and its evolution throughout the first 12 years. The program has benefited from strong foundational program leadership, effective inter-institutional collaboration, and maintaining community trust.
This research paper compares fertility traits, health indicators and health management routines of Swiss dairy farms characterized by short vs. long productive lifespans (SPL vs. LPL). We evaluated whether a longer productive lifespan will result in poorer cow health based on herdbook data from breeders associations (n = 142), farm questionnaire data (n = 67), veterinary treatment data (n = 64) and data obtained during farm visits (n = 30). Dairy farms were selected in such a way that they contrasted in terms of length of productive lifespan, but were representative of the Swiss dairy sector. Fertility performance was better on farms with LPL indicated by a lower number of inseminations per heifer, shorter average number of days open and shorter calving intervals. Consistently, the proportion of antibiotic veterinary treatments due to fertility problems was by tendency higher on SPL farms, as was the number of antibiotic treatments due to other problems (i.e. other than fertility, udder or locomotion problems). Other types of veterinary medical treatments did not differ by productive lifespan profiles. Average somatic cell score and proportions of test day records with elevated somatic cell count (SCC) were significantly higher on farms with LPL. However, this increase was smaller than what could be expected due to the age difference between contrasting productive lifespan profiles and was not associated with higher treatment incidences for clinical mastitis. Locomotion scores and lameness incidence did not differ by productive lifespan profile. Apart from a slightly higher proportion of farms with LPL practicing abrupt drying off, cow health management routines did not differ significantly between farms of contrasting productive lifespans. We conclude that a longer productive lifespan is not at the expense of health, even if the SCC level increased with age. Fertility, limb and udder health should be the main focus when aiming for a long productive lifespan.
The contemporary preoccupation with terrorism is marked by a curious paradox: whereas the topic has been ubiquitous in public discourse since the late twentieth century, the voices of terrorists themselves are usually silenced. Is the terrorist 'the quintessential proscribed or tabooed figure of our times', as cultural anthropologists Joseba Zulaika and William A. Douglass have suggested? The present volume is the first to approach the tabooing of terrorists from an interdisciplinary and comparative perspective. Covering a broad geographical scope, it explores how different media forms (such as novels, fiction and non-fiction films, or comic books) frame and make sense of the figure of the terrorist: do they reinforce the terrorism taboo, or do they find ways of circumventing it? Each contribution asks how factors such as ideological agenda, religious identity, ethnicity, and gender impact the way the perpetrators of political violence are conceived in different historical moments and cultural contexts.
Preliminary evidence suggests that a ketogenic diet may be effective for bipolar disorder.
Aims
To assess the impact of a ketogenic diet in bipolar disorder on clinical, metabolic and magnetic resonance spectroscopy outcomes.
Method
Euthymic individuals with bipolar disorder (N = 27) were recruited to a 6- to 8-week single-arm open pilot study of a modified ketogenic diet. Clinical, metabolic and MRS measures were assessed before and after the intervention.
Results
Of 27 recruited participants, 26 began and 20 completed the ketogenic diet. For participants completing the intervention, mean body weight fell by 4.2 kg (P < 0.001), mean body mass index fell by 1.5 kg/m2 (P < 0.001) and mean systolic blood pressure fell by 7.4 mmHg (P < 0.041). The euthymic participants had average baseline and follow-up assessments consistent with them being in the euthymic range with no statistically significant changes in Affective Lability Scale-18, Beck Depression Inventory and Young Mania Rating Scale. In participants providing reliable daily ecological momentary assessment data (n = 14), there was a positive correlation between daily ketone levels and self-rated mood (r = 0.21, P < 0.001) and energy (r = 0.19 P < 0.001), and an inverse correlation between ketone levels and both impulsivity (r = −0.30, P < 0.001) and anxiety (r = −0.19, P < 0.001). From the MRS measurements, brain glutamate plus glutamine concentration decreased by 11.6% in the anterior cingulate cortex (P = 0.025) and fell by 13.6% in the posterior cingulate cortex (P = <0.001).
Conclusions
These findings suggest that a ketogenic diet may be clinically useful in bipolar disorder, for both mental health and metabolic outcomes. Replication and randomised controlled trials are now warranted.
Partial remission after major depressive disorder (MDD) is common and a robust predictor of relapse. However, it remains unclear to which extent preventive psychological interventions reduce depressive symptomatology and relapse risk after partial remission. We aimed to identify variables predicting relapse and to determine whether, and for whom, psychological interventions are effective in preventing relapse, reducing (residual) depressive symptoms, and increasing quality of life among individuals in partial remission. This preregistered (CRD42023463468) systematic review and individual participant data meta-analysis (IPD-MA) pooled data from 16 randomized controlled trials (n = 705 partial remitters) comparing psychological interventions to control conditions, using 1- and 2-stage IPD-MA. Among partial remitters, baseline clinician-rated depressive symptoms (p = .005) and prior episodes (p = .012) predicted relapse. Psychological interventions were associated with reduced relapse risk over 12 months (hazard ratio [HR] = 0.60, 95% confidence interval [CI] 0.43–0.84), and significantly lowered posttreatment depressive symptoms (Hedges’ g = 0.29, 95% CI 0.04–0.54), with sustained effects at 60 weeks (Hedges’ g = 0.33, 95% CI 0.06–0.59), compared to nonpsychological interventions. However, interventions did not significantly improve quality of life at 60 weeks (Hedges’ g = 0.26, 95% CI -0.06 to 0.58). No moderators of relapse prevention efficacy were found. Men, older individuals, and those with higher baseline symptom severity experienced greater reductions in symptomatology at 60 weeks. Psychological interventions for individuals with partially remitted depression reduce relapse risk and residual symptomatology, with efficacy generalizing across patient characteristics and treatment types. This suggests that psychological interventions are a recommended treatment option for this patient population.
To evaluate the impact of implementing a clinical care guideline for uncomplicated gram-negative bloodstream infections (GN-BSI) within a health system.
Design:
Retrospective, quasi-experimental study.
Setting:
A large academic safety-net institution.
Participants:
Adults (≥18 years) with GN-BSI, defined by at least one positive blood culture for specific gram-negative organisms. Patients with polymicrobial cultures or contaminants were excluded.
Interventions:
Implementation of a GN-BSI clinical care guideline based on a 2021 consensus statement, emphasizing 7-day antibiotic courses, use of highly bioavailable oral antibiotics, and minimizing repeat blood cultures.
Results:
The study included 147 patients pre-intervention and 169 post-intervention. Interrupted time series analysis showed a reduction in the median duration of therapy (–2.3 days, P = .0016), with a sustained decline (slope change –0.2103, P = .005) post-intervention. More patients received 7 days of therapy (12.9%–58%, P < .01), oral antibiotic transitions increased (57.8% vs 72.2%, P < .05), and guideline-concordant oral antibiotic selection was high. Repeat blood cultures decreased (50.3% vs 30.2%, P < .01) without an increase in recurrent bacteremia. No significant differences were observed in 90-day length of stay, rehospitalization, recurrence, or mortality.
Conclusions:
Guideline implementation was associated with shorter antibiotic therapy durations, increased use of guideline-concordant oral antibiotics, and fewer repeat blood cultures without compromising patient outcomes. These findings support the effectiveness of institutional guidelines in standardizing care, optimizing resource utilization, and promoting evidence-based practices in infectious disease management.
The authors offer reflections and lessons learned in a single pediatric tertiary center’s experience during a pediatric mass casualty incident (MCI). The MCI occurred at a holiday parade and the patients were brought to multiple community emergency departments for initial resuscitation prior to transfer to the Pediatric level 1 trauma center. In total, 18 children presented with severe blunt force trauma after a motor vehicle entered the parade route. Following initial triage in emergency departments, 10 of 18 children injured during the incident were admitted to the Pediatric Intensive Care Unit, collectively representing a system-wide stressor of emergency medicine, critical care, and surgical services. Institutional characteristics, activation of personnel and supplies, and psychosocial support for families during an MCI are important to consider in children’s hospitals’ disaster preparedness planning.
Genetically informative twin studies have consistently found that individual differences in anxiety and depression symptoms are stable and primarily attributable to time-invariant genetic influences, with non-shared environmental influences accounting for transient effects.
Methods
We explored the etiology of psychological and somatic distress in 2279 Australian twins assessed up to six times between ages 12–35. We evaluated autoregressive, latent growth, dual-change, common, and independent pathway models to identify which, if any, best describes the observed longitudinal covariance and accounts for genetic and environmental influences over time.
Results
An autoregression model best explained both psychological and somatic distress. Familial aggregation was entirely explained by additive genetic influences, which were largely stable from ages 12 to 35. However, small but significant age-dependent genetic influences were observed at ages 20–27 and 32–35 for psychological distress and at ages 16–19 and 24–27 for somatic distress. In contrast, environmental influences were predominantly transient and age-specific.
Conclusions
The longitudinal trajectory of psychological distress from ages 12 to 35 can thus be largely explained by forward transmission of a stable additive genetic influence, alongside smaller age-specific genetic innovations. This study addresses the limitation of previous research by exhaustively exploring alternative theoretical explanations for the observed patterns in distress symptoms over time, providing a more comprehensive understanding of the genetic and environmental factors influencing psychological and somatic distress across this age range.
In this first report of endoparasites from endemic land-mammals of the Galápagos Islands, we describe a new species of cestode of the genus Raillietina (Cyclophyllidea: Davaineidae) from a species of Nesoryzomys and summarize the extent of helminth parasitism in both oryzomyine endemics and introduced species of Rattus. Up to the current time, no helminth parasites have been reported from rodents of the Galápagos, and little work has yet been done describing and synthesizing Galápagos parasite diversity. In historical times, several species of autochthonous rodents have occupied the islands including: Nesoryzomys narboroughi Heller 1904, N. fernandinae Hutterer and Hirsch 1979, N. swarthi Orr, 1938, and Aegialomys galapagoensis (Waterhouse, 1839). Colonization of the islands by humans brought 3 known species of synanthropic rodents: Rattus rattus, R. norvegicus, and Mus musculus which are suspected to have caused the extinction of at least 3 other oryzomyines in historical times.
One trend in recent nineteenth-century American studies has been the rising critical status of poetry, which has gone from being widely neglected by C19 scholars to being a vibrant and diverse field of scholarship. Yet, while this scholarship has recovered major authors and recuperated long-derided aspects of nineteenth-century poetics, it has also maintained an old narrative about C19 poetry, namely that the status of poetry declined during the postbellum period. The career of William Cullen Bryant is emblematic of these trends: while there has been some fascinating recent work on his poetry, it has been informed exclusively by his early poetry of the 1810s and 1820s. This essay argues that Bryant’s career looks different when viewed from the end, rather than the beginning. In so doing, it revises recent critical accounts of Bryant, and C19 American poetry more broadly, by examining his translation of the Iliad, which he published in 1870. Bryant’s Iliad was one of the most celebrated poems of the postbellum era and was considered his masterpiece by contemporary readers. This essay examines the translation and discuss some of the ways in which it engages the politics and poetics of the Reconstruction period
Managing clinical trials is a complex process requiring careful integration of human, technology, compliance, and operations for success. We collaborated with experts to develop a multi-axial Clinical Trials Management Ecosystem (CTME) maturity model (MM) to help institutions identify best practices for CTME capabilities.
Methods:
A working group of research informaticists was established. An online session on maturity models was hosted, followed by a review of the candidate domain axes and finalization of the axes. Next, maturity level attributes were defined for min/max levels (level 1 and level 5) for each axis of the CTME MM, followed by the intermediate levels. A REDCap survey comprising the model’s statements was then created, and a subset of working group members tested the model by completing it at their respective institutions. The finalized survey was distributed to all working group members.
Results:
We developed a CTME MM comprising five maturity levels across 11 axes: study management, regulatory and audit management, financial management, investigational product management, subject identification and recruitment, subject management, data, reporting analytics & dashboard, system integration and interfaces, staff training & personnel management, and organizational maturity and culture. Informaticists at 22 Clinical and Translational Science Award hubs and one other organization self-assessed their institutional CTME maturity. Respondents reported relatively high maturity for study management and investigational product management. The reporting analytics & dashboard axis was the least mature.
Conclusion:
The CTME MM provides a framework to research organizations to evaluate their current clinical trials management maturity across 11 axes and identify areas for future growth.
Skin and soft tissue infections (SSTIs) account for over 2.8 million annual emergency department (ED) visits and often result in suboptimal antibiotic therapy. The objective of this study was to evaluate a set of interventions in minimizing inappropriate prescription of antibiotics for presumed SSTIs in the ED.
Design:
Case vignette survey.
Participants:
A national sample of emergency medicine (EM) physicians.
Methods:
Each vignette described a clinical scenario of a presumed SSTI (cellulitis or abscess) and included a unique combination of zero to five interventions (outpatient follow-up, inappropriate antibiotic request flag, thermal imaging for cellulitis or rapid wound MRSA PCR for abscess, patient education/shared decision-making, and clinical decision support). Out of 64 possible vignettes, we asked participants to respond to eight vignettes. Following each vignette, we asked participants if they would prescribe an antibiotic in their everyday practice (yes/no). We built adjusted hierarchical logistic regression models to estimate the probability of prescribing an antibiotic for each intervention and vignette.
Results:
Surveys were completed by 113 EM physicians. The thermal imaging, rapid wound MRSA PCR, and patient education/shared decision-making interventions showed the largest decrease (15–20%) in antibiotic prescribing probability. Vignettes with a combination of both a diagnostic intervention (thermal imaging or rapid wound MRSA PCR) and a patient education/shared decision-making intervention had the lowest prescribing probabilities.
Conclusion:
We recommend future research focuses on the development and integration of novel diagnostic tools to identify true infection and incorporate shared decision-making to improve diagnosis and management of SSTIs.
For finite nilpotent groups $J$ and $N$, suppose $J$ acts on $N$ via automorphisms. We exhibit a decomposition of the first cohomology set in terms of the first cohomologies of the Sylow $p$-subgroups of $J$ that mirrors the primary decomposition of $H^1(J,N)$ for abelian $N$. We then show that if $N \rtimes J$ acts on some non-empty set $\Omega$, where the action of $N$ is transitive and for each prime $p$ a Sylow $p$-subgroup of $J$ fixes an element of $\Omega$, then $J$ fixes an element of $\Omega$.
Accurate diagnosis of bipolar disorder (BPD) is difficult in clinical practice, with an average delay between symptom onset and diagnosis of about 7 years. A depressive episode often precedes the first manic episode, making it difficult to distinguish BPD from unipolar major depressive disorder (MDD).
Aims
We use genome-wide association analyses (GWAS) to identify differential genetic factors and to develop predictors based on polygenic risk scores (PRS) that may aid early differential diagnosis.
Method
Based on individual genotypes from case–control cohorts of BPD and MDD shared through the Psychiatric Genomics Consortium, we compile case–case–control cohorts, applying a careful quality control procedure. In a resulting cohort of 51 149 individuals (15 532 BPD patients, 12 920 MDD patients and 22 697 controls), we perform a variety of GWAS and PRS analyses.
Results
Although our GWAS is not well powered to identify genome-wide significant loci, we find significant chip heritability and demonstrate the ability of the resulting PRS to distinguish BPD from MDD, including BPD cases with depressive onset (BPD-D). We replicate our PRS findings in an independent Danish cohort (iPSYCH 2015, N = 25 966). We observe strong genetic correlation between our case–case GWAS and that of case–control BPD.
Conclusions
We find that MDD and BPD, including BPD-D are genetically distinct. Our findings support that controls, MDD and BPD patients primarily lie on a continuum of genetic risk. Future studies with larger and richer samples will likely yield a better understanding of these findings and enable the development of better genetic predictors distinguishing BPD and, importantly, BPD-D from MDD.