36,124 results on '"ASHWORTH, A"'
Search Results
2. 'It's Like an Epidemic, We Don't Know What to Do': The Perceived Need for and Benefits of a Suicide Prevention Programme in UK Schools
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Emma Ashworth, Joniece Thompson, and Pooja Saini
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Background: Despite emerging evidence for the effectiveness of school-based suicide prevention programmes worldwide, there are few being implemented in the United Kingdom, and their social validity (i.e., the feasibility, acceptability, and utility) is not yet known. Aims: We aimed to conduct a scoping study to determine: (1) the social validity and potential benefits of school-based suicide prevention interventions, (2) the perceived need for such interventions, and (3) barriers and facilitators to implementation. Sample and Methods: A total of 46 participants took part. Semi-structured interviews were conducted with mental health professionals (N = 8), school staff (N = 8), and parents whose children had experienced suicidal ideation/behaviours (N = 3) in England. Focus groups were also completed with children and young people (N = 27) aged 15-18 across three state secondary schools. Data were analysed using thematic framework analysis. Results: Three themes were identified: (1) the need for and importance of suicide prevention in children and young people, (2) schools as a setting for delivery, and (3) key components of suicide prevention programmes. Conclusions: Participants overwhelmingly agreed that there is a need for a greater and more consistent emphasis on school-based suicide prevention. School appears to be an acceptable location for suicide prevention, and participants felt discussions about suicide should begin at the start of secondary school. However, there are potential barriers that need to be considered, including tailoring for neurodiversity, challenging cultural/family beliefs and stigma, managing personal experiences of suicidal thoughts or previous bereavement from suicide, and a lack of existing training for school staff.
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- 2024
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3. Evaluating a New Supported Employment Internship Programme for Autistic Young Adults without Intellectual Disability
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Maria Ashworth, Brett Heasman, Laura Crane, and Anna Remington
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Supported employment initiatives have been shown to increase employment rates for autistic people who want to enter the workforce. Despite the success of supported employment initiatives in increasing employment rates, little is known about the first-hand experiences and views of those involved. In the current study, we examined the experiences and views of autistic young adults without intellectual disability ('interns'), employers and parents regarding a previously unevaluated paid internship scheme that offers tailored support for interns and employers before, during and after the internship, the "Employ Autism network." In total, 51 participants (19 interns, 22 employers, 10 parents), across eight internships, engaged in semi-structured interviews. Reflexive thematic analysis was used to identify three themes, shared across participant groups: (1) the internship was 'an invaluable experience', (2) the internship helped break down autism-specific barriers to employment and (3) stakeholder groups had some unmet expectations. Drawing on this multi-informant qualitative evaluation of a novel supported employment scheme, we derive recommendations of best practice for supported employment initiatives for autistic young adults without intellectual disability.
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- 2024
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4. Algorithmic Pot Generation: Algorithms for the Flexible-Tile Model of DNA Self-Assembly
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Ashworth, Jacob, Grossmann, Luca, Navarro, Fausto, Almodovar, Leyda, Harsy, Amanda, Johnson, Cory, and Sorrells, Jessica
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Mathematics - Combinatorics ,92E10 05C90 05C85 92D20 - Abstract
Recent advancements in microbiology have motivated the study of the production of nanostructures with applications such as biomedical computing and molecular robotics. One way to construct these structures is to construct branched DNA molecules that bond to each other at complementary cohesive ends. One practical question is: given a target nanostructure, what is the optimal set of DNA molecules that assemble such a structure? We use a flexible-tile graph theoretic model to develop several algorithmic approaches, including a integer programming approach. These approaches take a target undirected graph as an input and output an optimal collection of component building blocks to construct the desired structure., Comment: 43 pages, 11 figures
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- 2024
5. 'Trying to Stay Afloat': Education Professionals' Perspectives on the Impact of the COVID-19 Pandemic on Children with Special Educational Needs and Disabilities
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Emma Ashworth, Lucy Bray, Amel Alghrani, and Joanna Kirkby
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This study aimed to investigate the experiences of education professionals in their efforts to provide education and support to children with special educational needs and disabilities (SEND) amid the COVID-19 pandemic, and to gain insights into the perceived repercussions of pandemic-related restrictions on the educational development and overall wellbeing of these children. Mixed-methods surveys (N = 100) and semi-structured qualitative interviews (N = 6) were utilised. Data were analysed using descriptive statistics and thematic analysis. Findings indicate substantial challenges faced by education professionals in delivering appropriate and effective education and well-being support to children with SEND during periods of school 'closures', resulting in hindered academic progression and adverse impacts on the well-being of children with SEND, their families and the education professionals themselves. It is vital that effective support strategies and appropriate training are implemented, in addition to further research to establish what would be most beneficial for all teachers, and particularly those supporting children with SEND.
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- 2024
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6. A Phase II Trial of the WEE1 Inhibitor Adavosertib in SETD2-Altered Advanced Solid Tumor Malignancies (NCI 10170).
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Maldonado, Edward, Rathmell, W, Shapiro, Geoffrey, Takebe, Naoko, Rodon, Jordi, Mahalingam, Devalingam, Trikalinos, Nikolaos, Kalebasty, Arash, Parikh, Mamta, Boerner, Scott, Balido, Celene, Krings, Gregor, Burns, Timothy, Bergsland, Emily, Munster, Pamela, Ashworth, Alan, LoRusso, Patricia, and Aggarwal, Rahul
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Humans ,Middle Aged ,Histone-Lysine N-Methyltransferase ,Male ,Aged ,Female ,Protein-Tyrosine Kinases ,Cell Cycle Proteins ,Pyrazoles ,Neoplasms ,Carcinoma ,Renal Cell ,Kidney Neoplasms ,Pyrimidinones ,Mutation - Abstract
UNLABELLED: We sought to evaluate the efficacy of WEE1 inhibitor adavosertib in patients with solid tumor malignancies (cohort A) and clear cell renal cell carcinoma (ccRCC; cohort B). NCT03284385 was a parallel cohort, Simon two-stage, phase II study of adavosertib (300 mg QDAY by mouth on days 1-5 and 8-12 of each 21-day cycle) in patients with solid tumor malignancies harboring a pathogenic SETD2 mutation. The primary endpoint was the objective response rate. Correlative assays evaluated the loss of H3K36me3 by IHC, a downstream consequence of SETD2 loss, in archival tumor tissue. Eighteen patients were enrolled (9/cohort). The median age was 60 years (range 45-74). The median duration of treatment was 1.28 months (range 0-24+). No objective responses were observed in either cohort; accrual was halted following stage 1. Minor tumor regressions were observed in 4/18 (22%) evaluable patients. Stable disease (SD) was the best overall response in 10/18 (56%) patients, including three patients with SD > 4 months. One patient with ccRCC remains on treatment for >24 months. The most common adverse events of any grade were nausea (59%), anemia (41%), diarrhea (41%), and neutropenia (41%). Nine patients (50%) experienced a Grade ≥3 adverse event. Of eight evaluable archival tissue samples, six (75%) had a loss of H3K36me3 by IHC. Adavosertib failed to exhibit objective responses in SETD2-altered ccRCC and other solid tumor malignancies although prolonged SD was observed in a subset of patients. Combination approaches may yield greater depth of tumor response. SIGNIFICANCE: WEE1 inhibition with adavosertib monotherapy demonstrated limited clinical activity in patients with SETD2-altered solid tumors despite compelling preclinical data indicating a synthetic lethal effect, which did not translate into robust tumor regression. Loss of the H3K36me3 trimethylation mark caused by SETD2-deficiency was confirmed in the majority of evaluable tumors. A subset of patients derived clinical benefit as manifested by minor tumor regressions and prolonged SD.
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- 2024
7. The impact of universal, school based, interventions on help seeking in children and young people: a systematic literature review
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Hayes, Daniel, Mansfield, Rosie, Mason, Carla, Santos, Joao, Moore, Anna, Boehnke, Jan, Ashworth, Emma, Moltrecht, Bettina, Humphrey, Neil, Stallard, Paul, Patalay, Praveetha, and Deighton, Jessica
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- 2024
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8. Resistance, regulation, and governmentality: interrogating the defunding of homeopathy in France and England (2000 to 2022)
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Ashworth, Michael and Cloatre, Emilie
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- 2024
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9. Patient-Oriented Unsupervised Learning to Unlock Patterns of Multimorbidity Associated with Stroke using Primary Care Electronic Health Records
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Delord, Marc, Sun, Xiaohui, Learoyd, Annastazia, Curcin, Vasa, Marshall, Iain, Wolfe, Charles, Ashworth, Mark, and Douiri, Abdel
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Statistics - Applications ,62P10 - Abstract
Background: Identifying and characterising the longitudinal patterns of multimorbidity associated with stroke is needed to better understand patients' needs and inform new models of care. Methods: We used an unsupervised patient-oriented clustering approach to analyse primary care electronic health records (EHR) of 30 common long-term conditions (LTC), in patients with stroke aged over 18, registered in 41 general practices in south London between 2005 and 2021. Results: Of 849,968 registered patients, 9,847 (1.16%) had a record of stroke, 46.5% were female and median age at record was 65.0 year (IQR: 51.5 to 77.0). The median number of LTCs in addition to stroke was 3 (IQR: from 2 to 5). Patients were stratified in eight clusters. These clusters revealed contrasted patterns of multimorbidity, socio-demographic characteristics (age, gender and ethnicity) and risk factors. Beside a core of 3 clusters associated with conventional stroke risk-factors, minor clusters exhibited less common but recurrent combinations of LTCs including mental health conditions, asthma, osteoarthritis and sickle cell anaemia. Importantly, complex profiles combining mental health conditions, infectious diseases and substance dependency emerged. Conclusion: This patient-oriented approach to EHRs uncovers the heterogeneity of profiles of multimorbidity and socio-demographic characteristics associated with stroke. It highlights the importance of conventional stroke risk factors as well as the association of mental health conditions in complex profiles of multimorbidity displayed in a significant proportion of patients. These results address the need for a better understanding of stroke-associated multimorbidity and complexity to inform more efficient and patient-oriented healthcare models.
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- 2024
10. De novo design of drug-binding proteins with predictable binding energy and specificity
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Lu, Lei, Gou, Xuxu, Tan, Sophia K, Mann, Samuel I, Yang, Hyunjun, Zhong, Xiaofang, Gazgalis, Dimitrios, Valdiviezo, Jesús, Jo, Hyunil, Wu, Yibing, Diolaiti, Morgan E, Ashworth, Alan, Polizzi, Nicholas F, and DeGrado, William F
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Built Environment and Design ,Medicinal and Biomolecular Chemistry ,Chemical Sciences ,Design ,Networking and Information Technology R&D (NITRD) ,Patient Safety ,Biotechnology ,Bioengineering ,5.1 Pharmaceuticals ,Humans ,Binding Sites ,Ligands ,Molecular Dynamics Simulation ,Poly(ADP-ribose) Polymerase Inhibitors ,Protein Binding ,Proteins ,Protein Engineering ,Pharmacophore ,General Science & Technology - Abstract
The de novo design of small molecule-binding proteins has seen exciting recent progress; however, high-affinity binding and tunable specificity typically require laborious screening and optimization after computational design. We developed a computational procedure to design a protein that recognizes a common pharmacophore in a series of poly(ADP-ribose) polymerase-1 inhibitors. One of three designed proteins bound different inhibitors with affinities ranging from
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- 2024
11. Fluorescent Guided Sentinel Lymph Mapping of the Oral Cavity with Fluorescent‐Labeled Tilmanocept
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Guo, Theresa, Jang, Sophie S, Ogawa, Ryotaro, Davis, Morgan, Ashworth, Edward, Barback, Christopher V, Hall, David J, and Vera, David R
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Biomedical and Clinical Sciences ,Oncology and Carcinogenesis ,Cancer ,Dental/Oral and Craniofacial Disease ,Biomedical Imaging ,Male ,Animals ,Rabbits ,Sentinel Lymph Node Biopsy ,Lymph Nodes ,Sentinel Lymph Node ,Mouth Neoplasms ,fluorescence guided surgery ,oral cavity ,sentinel lymph node biopsy ,Clinical Sciences ,Otorhinolaryngology ,Clinical sciences - Abstract
ObjectiveWith the shift toward utilization of sentinel lymph node biopsy (SLNB) in oral cavity cancer, improved techniques for intraoperative sentinel node identification are needed. This study investigates the feasibility of fluorescently labeled tilmanoscept in SLNB in an oral cancer rabbit model.MethodsAn animal study was designed using 21 healthy male New Zealand rabbits. Gallium-68-labeled tilmanocept labeled with IRDye800CW was injected submucosally into the buccal mucosa (n = 6) or lateral tongue (n = 7) followed by PET imaging. One hour after injection, SLNB was performed using fluorescence imaging followed by a bilateral neck dissection and sampling of non-nodal surrounding tissue. All tissues were measured for radioactivity and fluorescence. In addition, eight rabbits were injected with delayed SLNB performed 48 h after injection.ResultsBuccal injections all had ipsilateral SLN drainage and tongue injections exhibited 18.2% contralateral drainage. An average of 1.9 ± 1.0 SLN (range 1-5) were identified. In addition, an average of 16.9 ± 3.3 non-sentinel lymph nodes were removed per animal. SLNs had an average of 0.69 ± 0.60 percent-of-injected dose (%ID) compared with non-sentinel nodes with 0.012 ± 0.025 %ID and surrounding tissue with 0.0067 ± 0.015 %ID. There was 98.0% agreement between sentinel lymph nodes identified using fluorescence compared to radioactivity with Cohen's kappa coefficient of 0.879. In 48-h delayed SLNB, results were consistent with 97.8% agreement with radioactivity and Cohen's Kappa coefficient of 0.884. Fluorescence identified additional lymph nodes that were not identified by radioactivity, and with one false negative.ConclusionFluorescent-labeled Tc-99 m-tilmanocept represents a highly accurate adjunct to enhance SLNB for oral cavity cancer.Level of evidenceN/A Laryngoscope, 134:1299-1307, 2024.
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- 2024
12. Biomarkers of Glycosaminoglycans (GAG) accumulation in patients with mucopolysaccharidosis type VI-LeukoGAG, Corneal Opacification (COM) and Carotid Intima Media Thickening (CIMT).
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Sohn, Young, Wang, Raymond, Ashworth, Jane, Broqua, Pierre, Tallandier, Mireille, Abitbol, Jean-Louis, Jozwiak, Erin, Pollard, Laura, Wood, Timothy, Aslam, Tariq, and Harmatz, Paul
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Carotid intima media thickness ,Corneal opacification measurements ,Leukocyte GAG ,Mucopolysaccharidosis type VI ,Skin GAG - Abstract
Mucopolysaccharidosis type VI (MPS VI) is an autosomal recessive lysosomal storage disorder characterized by deficient activity of arylsulfatase B enzyme (ASB) resulting in cellular accumulation of dermatan sulfate (DS) and chondroitin sulfate (CS) that leads to cell injury. Urinary glycosaminoglycans (GAG) are often used as a biomarker in MPS diseases for diagnosis and to monitor treatment efficacy. This study evaluated leukocyte GAGs (leukoGAG) and skin GAGs as alternate biomarkers representing intracellular GAG changes in patients with MPS VI and treated with enzyme replacement therapy (ERT). In addition, we evaluated corneal opacification measurements (COM) and carotid intima media thickness (CIMT) as indicators of GAG accumulation and tissue injury. The study was performed in a serial two-step design in a single center. A quantitative method to measure leukoGAG levels in leukocytes was developed in Study 1 to compare the GAG levels between MPS VI patients and a control group and to assess correlations between leukoGAG and urineGAG. Study 2 validated the leukoGAG measurement, assessed the effect of ERT infusion on leukoGAG and ASB activity in leukocytes, identified correlations between leukoGAG and other biomarkers, and assessed differences in GAG accumulation between MPS VI patients and control subjects. In Study 1, leukoCS and leukoDS levels were significantly higher in the MPS VI group than the control group (leukoCS: 37.9 ± 10.2 and 2.9 ± 1.5 μg/μg protein, respectively, p = 0.005; leukoDS: 0.26 ± 0.2 and 0.0 ± 0.0 μg/μg protein, respectively, p = 0.028) with positive correlations between leukoCS and urine CS and leukoDS and urineDS. In Study 2, leukoCS (32.0 ± 11.8 vs 6.9 ± 3.1 μg/mg protein, p = 0.005) and leukoDS (0.4 ± 0.1 and 0.2 ± 0.1 μg/mg protein, p = 0.020) were significantly higher compared with control subjects. Thus, these results highlight the potential of leukoGAG as a new biomarker representing intracellular GAG accumulation in MPS VI patients and may be valuable for patient management.
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- 2024
13. Using Point-of-care Ultrasonography to Diagnose Traumatic Arthrotomy of the Knee: A Case Series
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Mullings, Jordan, Ashworth, Henry, Kongkatong, Matthew, and Mantuani, Daniel
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case report ,POCUS ,Traumatic arthrotomy ,Intra-articular air ,musculoskeletal ultrasound - Abstract
Introduction: Accurate diagnosis of traumatic arthrotomy of the knee (TAK) is critical for patients presenting to the emergency department (ED) to ensure timely treatment. Current diagnostic modalities including plain radiography, computed tomography (CT), and the saline load test (SLT) have advantages and disadvantages. Point-of-care-ultrasonography (POCUS) offers a possible timely, low-cost, and efficient alternative method of diagnosing TAK. In this case series we present three cases where POCUS was used to diagnose TAK in the ED.Case Series: Three patients in their early 20s presented to the ED complaining of knee trauma with wounds in proximity to the joint. Mechanisms of injury included a gunshot wound in one case and blunt trauma (motor vehicle collision and bicycle crash) in two cases. In all three cases TAK was suggested on POCUS examinations by the presence of intra-articular hyperechoic foci consistent with air artifact. All three cases had TAK confirmed by orthopedic evaluation.Discussion: Ultrasound may have utility in the evaluation of patients presenting with knee trauma where TAK is a concern. The SLT is generally considered the gold standard test for diagnosis of TAK, but it is invasive and has a wide range of diagnostic accuracy. Intra-articular air has been found to be a sensitive marker for TAK in CT studies. Thus, additional investigations into the diagnostic accuracy of POCUS for this finding should be undertaken.
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- 2024
14. Tramadol
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Dunn, Kelly E., Ashworth, Judy, Strain, Eric C., and Dunn, Kelly E., book editor
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- 2024
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15. The importance of 3D fibre architecture in cancer and implications for biomaterial model design
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Ashworth, J. C. and Cox, T. R.
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- 2024
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16. “How I would like AI used for my imaging”: children and young persons’ perspectives
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Lee, Lauren, Salami, Raimat Korede, Martin, Helena, Shantharam, Lavanhya, Thomas, Kate, Ashworth, Emily, Allan, Emma, Yung, Ka-Wai, Pauling, Cato, Leyden, Deirdre, Arthurs, Owen J., and Shelmerdine, Susan Cheng
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- 2024
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17. Caffeine gum improves 5 km running performance in recreational runners completing parkrun events
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Lynn, Anthony, Shaw, Chloe, Sorsby, Anna C., Ashworth, Pippa, Hanif, Faysal, Williams, Claire E., and Ranchordas, Mayur K.
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- 2024
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18. Transforming post pandemic cancer services
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Round, Thomas, Sethuraman, Lakshman, Ashworth, Mark, and Purushotham, Arnie
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- 2024
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19. Establishing Quality and Outcome Measures for Recovery Housing: A Tiered Approach Supporting Service Evolution
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Thompson, Robin A., Johnson, David, Ashworth, Madison, and Stott, Milena
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- 2024
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20. Remote sensing reveals trends in vegetative recovery and land cover transformation post-reclamation at tar creek superfund site
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Harrison W. Smith, Amanda J. Ashworth, Summer King, Craig Kreman, David M. Miller, Lawton L. Nalley, and Phillip R. Owens
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Remote sensing ,Vegetation ,Mining ,Reclamation ,Time series ,LCLUC ,Geology ,QE1-996.5 ,Geophysics. Cosmic physics ,QC801-809 - Abstract
Abstract The harmful effects of mining waste on human and ecosystem health make reclamation of former mine sites an environmental management priority. However, field-based monitoring of reclamation requires significant investments of time, labor, and money. Remote sensing offers a less expensive alternative to field-based monitoring, but work is still needed to determine which metrics can be reliably estimated using remote sensing techniques. This study uses remote sensing to examine over 20 years of reclamation efforts at Tar Creek Superfund Site and to assess revegetation after site restoration. Using the Normalized Difference Vegetation Index (NDVI), we quantify key factors affecting vegetation recovery and stability after reclamation across 123 surface mining waste cleanup locations within Tar Creek. Leveraging long-term imagery from Landsat and high-resolution PlanetScope imagery, we combine time series analysis of vegetation regrowth and landcover change detection for a comprehensive picture of recovery at each site. Across all reclamation sites, the average recovery duration was 3.5 years, and average recovery rate was 0.1 NDVI year−1. After vegetative growth had plateaued, reclaimed sites had an average NDVI of 0.70. All reclamation areas were converted from majority barren landcover to vegetated landcover classes after reclamation, and vegetative stability at reclamation sites was high (70% of reclaimed area saw continuous vegetative cover from 2017 to 2023). These results demonstrate a strong potential for multi-method remote sensing techniques in tracking and explaining vegetation recovery after reclamation and represent a cost-effective approach for real-time monitoring of reclamation progress and outcomes.
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- 2024
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21. Long-Term Factors Associated with Positive Mental Health Outcomes for Early Adolescents during COVID-19-Related School Closures
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Molloy-Vickers, Danielle, Chopra, Jennifer, Saini, Pooja, and Ashworth, Emma
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The COVID-19 pandemic had an immediate negative impact on young people worldwide. However, there is a paucity of research examining the factors associated with good mental health, and specifically the factors that contributed to longer-term positive outcomes. This study aimed to identify the protective factors among early adolescents in the United Kingdom that were associated with better mental health outcomes (internalizing and externalizing difficulties, and well-being) during the second national lockdown, and any differences in protective factors between the first and second lockdowns. Between September and December 2020 (T1; N = 290), and March and May 2021 (T2; N = 72), 11 to 14-year-olds across North-West England completed an online survey pertaining to their experiences of lockdown, and mental health and wellbeing. Hierarchical multiple regression was used to analyse the data. Results indicated that peer support was protective across all three mental health outcomes at T2. While optimism was protective across all three outcomes at T1, it was not significant at T2. School support and community and family connection were also significant predictors at T1 only. While support from multiple different sources may have been more important in the early days of the pandemic, support from peers was key in maintaining long-term mental health.
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- 2024
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22. ORCHARD: a model for conducting pragmatic randomised trials in pregnancy
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Smith, Priscilla, Dalrymple, Kathryn, Clark, Katherine, Wang, Yanzhong, Harris, Tess, Webb, Andrew J., Ashworth, Danielle, Chappell, Lucy, and Bramham, Kate
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- 2024
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23. Understanding and minimizing ac losses in CORC cables of YBCO superconducting tapes
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Nguyen, Linh N., Shields, Nathaniel, Ashworth, Stephen, and Nguyen, Doan N.
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Condensed Matter - Superconductivity ,Physics - Applied Physics - Abstract
AC losses in conductor-on-rounded-core (CORC) cables of YBCO high-temperature superconducting (HTS) tapes are a significant challenge in HTS power applications. This study employs two finite element analysis (FEA) models to investigate the contributions from different AC loss components and provide approaches for reducing AC losses in cables. An FEA model based on T-A formula treats the cross-section of thin superconducting layers as 1D lines and, therefore, only can predict the AC loss generated by the perpendicular magnetic field. In contrast, the model based on H-formulation can be performed on the actual 2D rectangular cross-section HTS tapes to provide the total AC losses generated by magnetic fluxes penetrating from both the edges and surfaces of HTS tapes, although this model requires more computing time and memory. Both 1D and 2D simulation approaches were employed to offer a comprehensive understanding of the effects of cable design and operational parameters on the AC loss components in a 2-layer CORC cable. The research results given in this paper are therefore not only valuable to suggest strategies for reducing AC loss in multi-layer cables but also for developing more accurate and effective methods to calculate AC loss in CORC HTS cables.
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- 2023
24. Long COVID demographic and secondary care referral characteristics in primary care: analysis of anonymised primary care data from a multiethnic, deprived urban area in the UK
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Chapman, Martin, Durbaba, Stevo, Tydeman, Florence, Friend, Matt, Duly, Laura, Moore, Julie, Curcin, Vasa, Wang, Yanzhong, Jolley, Caroline J., Kaltsakas, Georgios, Chalder, Trudie, Hart, Nicholas, and Ashworth, Mark
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- 2024
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25. Remote sensing reveals trends in vegetative recovery and land cover transformation post-reclamation at tar creek superfund site
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Smith, Harrison W., Ashworth, Amanda J., King, Summer, Kreman, Craig, Miller, David M., Nalley, Lawton L., and Owens, Phillip R.
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- 2024
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26. Unveiling errors in soil microbial community sequencing: a case for reference soils and improved diagnostics for nanopore sequencing
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Manter, Daniel K., Reardon, Catherine L., Ashworth, Amanda J., Ibekwe, Abasiofiok M., Lehman, R. Michael, Maul, Jude E., Miller, Daniel N., Creed, Timothy, Ewing, Patrick M., Park, Stanley, Ducey, Thomas F., Tyler, Heather L., Veum, Kristen S., Weyers, Sharon L., and Knaebel, David B.
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- 2024
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27. Effects of foetal size, sex and developmental stage on adaptive transcriptional responses of skeletal muscle to intrauterine growth restriction in pigs
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Cortes-Araya, Y., Cheung, S., Ho, W., Stenhouse, C., Ashworth, C. J., Esteves, C. L., and Donadeu, F. X.
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- 2024
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28. Exploiting lung adaptation and phage steering to clear pan-resistant Pseudomonas aeruginosa infections in vivo
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Ashworth, Eleri A., Wright, Rosanna C. T., Shears, Rebecca K., Wong, Janet K. L., Hassan, Akram, Hall, James P. J., Kadioglu, Aras, and Fothergill, Joanne L.
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- 2024
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29. Cardiorespiratory consequences of attenuated fentanyl and augmented rocuronium dosing during protocolised prehospital emergency anaesthesia at a regional air ambulance service: a retrospective study
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Morton, Sarah, Spurgeon, Zoey, Ashworth, Charlotte, Samouelle, James, and Sherren, Peter B
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- 2024
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30. Increasing Help-Seeking Intentions for Mental Health Difficulties in Early Adolescence: The Role of Cumulative Promotive Factors
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Ashworth, Emma and Saini, Pooja
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- 2024
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31. Monitoring compliance to topical therapy in children and young people with uveitis
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Green, Elspeth K. Y., McGrath, Orlaith, Steeples, Laura, and Ashworth, Jane L.
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- 2024
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32. Assessing Soil and Land Suitability of an Olive–Maize Agroforestry System Using Machine Learning Algorithms
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Asif Hayat, Javed Iqbal, Amanda J. Ashworth, and Phillip R. Owens
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random forest ,support vector machine ,intercropping agroforestry ,land suitability ,Agriculture (General) ,S1-972 - Abstract
Exponential population increases are threatening food security, particularly in mountainous areas. One potential solution is dual-use intercropped agroforestry systems such as olive (Olea europaea)–maize (Zea mays), which may mitigate risk by providing multiple market sources (oil and grain) for smallholder producers. Several studies have conducted integrated agroforestry land suitability analyses; however, few studies have used machine learning (ML) algorithms to evaluate multiple variables (i.e., soil physicochemical properties and climatic and topographic data) for the selection of suitable rainfed sites in mountainous terrain systems. The goal of this study is therefore to identify suitable land classes for an integrated olive–maize agroforestry system based on the Food and Agriculture Organization (FAO) land suitability assessment framework for 1757 km2 in Khyber Pakhtunkhwa province, Pakistan. Information on soil physical and chemical properties was obtained from 701 soil samples, along with climatic and topographic data. After determination of land suitability classes for an integrated olive–maize-crop agroforestry system, the region was then mapped through ML algorithms using random forest (RF) and support vector machine (SVM), as well as using traditional techniques of weighted overlay (WOL). Land suitability classes predicted by ML techniques varied greatly. For example, the S1 area (highly suitable) classified through RF was 9%↑ than that of SVM, and 8%↓ than that through WOL. The area of S2 (moderately suitable) classified through RF was 18%↑ than that of SWM and was 17%↓ than the area classified through WOL; similarly, the S3 (marginally suitable) class area via RF was 27%↓ than that of SVM, and 45%↓ than the area classified through WOL. Conversely, the area of N2 (permanently not suitable class) classified through RF and SVM was 6%↑ than the area classified through WOL. Model performance was assessed through overall accuracy and Kappa Index and indicated that RF performed better than SVM and WOL. Crop suitability limitations of the study area included high elevation, slope, pH, and large gravel content. Results can be used for sustainable intensification in mountainous rainfed regions by expanding intercrop agroforestry systems in developing nations to close yield gaps.
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- 2024
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33. Unveiling errors in soil microbial community sequencing: a case for reference soils and improved diagnostics for nanopore sequencing
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Daniel K. Manter, Catherine L. Reardon, Amanda J. Ashworth, Abasiofiok M. Ibekwe, R. Michael Lehman, Jude E. Maul, Daniel N. Miller, Timothy Creed, Patrick M. Ewing, Stanley Park, Thomas F. Ducey, Heather L. Tyler, Kristen S. Veum, Sharon L. Weyers, and David B. Knaebel
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Biology (General) ,QH301-705.5 - Abstract
Abstract The sequencing platform and workflow strongly influence microbial community analyses through potential errors at each step. Effective diagnostics and experimental controls are needed to validate data and improve reproducibility. This cross-laboratory study evaluates sources of variability and error at three main steps of a standardized amplicon sequencing workflow (DNA extraction, polymerase chain reaction [PCR], and sequencing) using Oxford Nanopore MinION to analyze agricultural soils and a simple mock community. Variability in sequence results occurs at each step in the workflow with PCR errors and differences in library size greatly influencing diversity estimates. Common bioinformatic diagnostics and the mock community are ineffective at detecting PCR abnormalities. This work outlines several diagnostic checks and techniques to account for sequencing depth and ensure accuracy and reproducibility in soil community analyses. These diagnostics and the inclusion of a reference soil can help ensure data validity and facilitate the comparison of multiple sequencing runs within and between laboratories.
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- 2024
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34. Global-scale evaluation of precipitation datasets for hydrological modelling
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S. H. Gebrechorkos, J. Leyland, S. J. Dadson, S. Cohen, L. Slater, M. Wortmann, P. J. Ashworth, G. L. Bennett, R. Boothroyd, H. Cloke, P. Delorme, H. Griffith, R. Hardy, L. Hawker, S. McLelland, J. Neal, A. Nicholas, A. J. Tatem, E. Vahidi, Y. Liu, J. Sheffield, D. R. Parsons, and S. E. Darby
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Technology ,Environmental technology. Sanitary engineering ,TD1-1066 ,Geography. Anthropology. Recreation ,Environmental sciences ,GE1-350 - Abstract
Precipitation is the most important driver of the hydrological cycle, but it is challenging to estimate it over large scales from satellites and models. Here, we assessed the performance of six global and quasi-global high-resolution precipitation datasets (European Centre for Medium-Range Weather Forecasts (ECMWF) Reanalysis version 5 (ERA5), Climate Hazards group Infrared Precipitation with Stations version 2.0 (CHIRPS), Multi-Source Weighted-Ensemble Precipitation version 2.80 (MSWEP), TerraClimate (TERRA), Climate Prediction Centre Unified version 1.0 (CPCU), and Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks-Cloud Classification System-Climate Data Record (PERSIANN-CCS-CDR, hereafter PERCCDR) for hydrological modelling globally and quasi-globally. We forced the WBMsed global hydrological model with the precipitation datasets to simulate river discharge from 1983 to 2019 and evaluated the predicted discharge against 1825 hydrological stations worldwide, using a range of statistical methods. The results show large differences in the accuracy of discharge predictions when using different precipitation input datasets. Based on evaluation at annual, monthly, and daily timescales, MSWEP followed by ERA5 demonstrated a higher correlation (CC) and Kling–Gupta efficiency (KGE) than other datasets for more than 50 % of the stations, whilst ERA5 was the second-highest-performing dataset, and it showed the highest error and bias for about 20 % of the stations. PERCCDR is the least-well-performing dataset, with a bias of up to 99 % and a normalised root mean square error of up to 247 %. PERCCDR only show a higher KGE and CC than the other products for less than 10 % of the stations. Even though MSWEP provided the highest performance overall, our analysis reveals high spatial variability, meaning that it is important to consider other datasets in areas where MSWEP showed a lower performance. The results of this study provide guidance on the selection of precipitation datasets for modelling river discharge for a basin, region, or climatic zone as there is no single best precipitation dataset globally. Finally, the large discrepancy in the performance of the datasets in different parts of the world highlights the need to improve global precipitation data products.
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- 2024
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35. Cognitive and psychiatric symptom trajectories 2–3 years after hospital admission for COVID-19: a longitudinal, prospective cohort study in the UK
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Lone, Nazir, Baillie, Kenneth, Pairo-Castineira, Erola, Avramidis, Nikos, Wain, Louise, Guillen-Guio, Beatriz, Leavy, Olivia, Jones, S, Armstrong, Lisa, Hairsine, Brigid, Henson, Helen, Kurasz, Claire, Shaw, Alison, Shenton, Liz, Dobson, Hannah, Dell, Amanda, Fairbairn, Sara, Hawkings, Nancy, Haworth, Jill, Hoare, Michaela, Lewis, Victoria, Lucey, Alice, Mallison, Georgia, Nassa, Heeah, Pennington, Chris, Price, Andrea, Price, Claire, Storrie, Andrew, Willis, Gemma, Young, Susan, Poinasamy, Krisnah, Walker, Samantha, Jarrold, Ian, Rawlik, Konrad, Sanderson, Amy, Chong-James, K, David, C, James, W Y, Pfeffer, Paul, Zongo, O, Martineau, Adrian, Manisty, C, Armour, Cherie, Brown, Vanessa, Busby, John, Connolly, Bronwen, Craig, Thelma, Drain, Stephen, Heaney, Liam, King, Bernie, Magee, Nick, Major, E, McAulay, Danny, McGarvey, Lorcan, McGinness, Jade, Peto, Tunde, Stone, Roisin, Bolger, Annette, Davies, Ffyon, Haggar, Ahmed, Lewis, Joanne, Lloyd, Arwel, Manley, R, McIvor, Emma, Menzies, Daniel, Roberts, K, Saxon, W, Southern, David, Subbe, Christian, Whitehead, Victoria, Bularga, Anda, Mills, Nicholas, Dawson, Joy, El-Taweel, Hosni, Robinson, Leanne, Brear, Lucy, Regan, Karen, Saralaya, Dinesh, Storton, Kim, Amoils, Shannon, Bermperi, Areti, Cruz, Isabel, Dempsey, K, Elmer, Anne, Fuld, Jonathon, Jones, H, Jose, Sherly, Marciniak, Stefan, Parkes, M, Ribeiro, Carla, Taylor, Jessica, Toshner, Mark, Watson, L, Worsley, J, Broad, Lauren, Evans, Teriann, Haynes, Matthew, Jones, L, Knibbs, Lucy, McQueen, Alison, Oliver, Catherine, Paradowski, Kerry, Sabit, Ramsey, Williams, Jenny, Jones, Ian, Milligan, Lea, Harris, Edward, Sampson, Claire, Davies, Ellie, Evenden, Cerys, Hancock, Alyson, Hancock, Kia, Lynch, Ceri, Rees, Meryl, Roche, Lisa, Stroud, Natalie, Thomas-Woods, T, Heller, Simon, Chalder, Trudie, Shah, Kamini, Robertson, Elizabeth, Young, Bob, Babores, Marta, Holland, Maureen, Keenan, Natalie, Shashaa, Sharlene, Wassall, Helen, Austin, Liam, Beranova, Eva, Cosier, Tracey, Deery, Joanne, Hazelton, Tracy, Price, Carly, Ramos, Hazel, Solly, Reanne, Turney, Sharon, Weston, Heather, Coughlan, Eamon, Ralser, Markus, Pearce, Lorraine, Pugmire, S, Stoker, Wendy, Wilson, Ann, McCormick, W, Fraile, Eva, Ugoji, Jacinta, Aguilar Jimenez, Laura, Arbane, Gill, Betts, Sarah, Bisnauthsing, Karen, Dewar, A, Hart, Nicholas, Kaltsakas, G, Kerslake, Helen, Magtoto, Murphy, Marino, Philip, Martinez, L M, Ostermann, Marlies, Rossdale, Jennifer, Solano, Teresa, Alvarez Corral, Maria, Arias, Ava Maria, Bevan, Emily, Griffin, Denise, Martin, Jane, Owen, J, Payne, Sheila, Prabhu, A, Reed, Annabel, Storrar, Will, Williams, Nick, Wrey Brown, Caroline, Burdett, Tracy, Featherstone, James, Lawson, Cathy, Layton, Alison, Mills, Clare, Stephenson, Lorraine, Ellis, Yvette, Atkin, Paul, Brindle, K, Crooks, Michael, Drury, Katie, Easom, Nicholas, Flockton, Rachel, Holdsworth, L, Richards, A, Sykes, D L, Thackray-Nocera, Susannah, Wright, C, Coetzee, S, Davies, Kim, Hughes, Rachel Ann, Loosley, Ronda, McGuinness, Heather, Mohamed, Abdelrahman, O'Brien, Linda, Omar, Zohra, Perkins, Emma, Phipps, Janet, Ross, Gavin, Taylor, Abigail, Tench, Helen, Wolf-Roberts, Rebecca, Burden, L, Calvelo, Ellen, Card, Bethany, Carr, Caitlin, Chilvers, Edwin, Copeland, Donna, Cullinan, P, Daly, Patrick, Evison, Lynsey, Fayzan, Tamanah, Gordon, Hussain, Haq, Sulaimaan, Jenkins, Gisli, King, Clara, Kon, Onn Min, March, Katherine, Mariveles, Myril, McLeavey, Laura, Mohamed, Noura, Moriera, Silvia, Munawar, Unber, Nunag, Jose Lloyd, Nwanguma, Uchechi, Orriss-Dib, Lorna, Ross, Alexandra, Roy, Maura, Russell, Emily, Samuel, Katherine, Schronce, J, Simpson, Neil, Tarusan, Lawrence, Thomas, David, Wood, Chloe, Yasmin, Najira, Altmann, Danny, Howard, Luke, Johnston, Desmond, Lingford-Hughes, Anne, Man, William, Mitchell, Jane, Molyneaux, Philip, Nicolaou, Christos, O'Regan, D P, Price, L, Quint, Jenni, Smith, David, Thwaites, Ryan, Valabhji, Jonathon, Walsh, Simon, Efstathiou, Claudia, Liew, Felicity, Frankel, Anew, Lightstone, Liz, McAdoo, Steve, Wilkins, Martin, Willicombe, Michelle, Touyz, R, Guerdette, Anne-Marie, Hewitt, Melanie, Reddy, R, Warwick, Katie, White, Sonia, McMahon, Aisling, Adeyemi, Oluwaseun, Adrego, Rita, Assefa-Kebede, Hosanna, Breeze, Jonathon, Byrne, S, Dulawan, Pearl, Hoare, Amy, Jolley, Caroline, Knighton, Abigail, Patale, Sheetal, Peralta, Ida, Powell, Natassia, Ramos, Albert, Shevket, K, Speranza, Fabio, Te, Amelie, Malim, M, Bramham, Kate, Brown, M, Ismail, Khalida, Nicholson, Tim, Pariante, Carmen, Sharpe, Claire, Wessely, Simon, Whitney, J, Shah, Ajay, Chiribiri, A, O'Brien, C, Hayday, A, Ashworth, Andrew, Beirne, Paul, Clarke, Jude, Coupland, C, Dalton, Matthhew, Favager, Clair, Glossop, Jodie, Greenwood, John, Hall, Lucy, Hardy, Tim, Humphries, Amy, Murira, Jennifer, Peckham, Dan, Plein, S, Rangeley, Jade, Saalmink, Gwen, Tan, Ai Lyn, Wade, Elaine, Whittam, Beverley, Window, Nicola, Woods, Janet, Coakley, G, Turtle, Lance, Allerton, Lisa, Allt, Ann Marie, Beadsworth, M, Berridge, Anthony, Brown, Jo, Cooper, Shirley, Cross, Andy, Defres, Sylviane, Dobson, S L, Earley, Joanne, French, N, Greenhalf, William, Hainey, Kera, Hardwick, Hayley, Hawkes, Jenny, Highett, Victoria, Kaprowska, Sabina, Key, Angela, Lavelle-Langham, Lara, Lewis-Burke, N, Madzamba, Gladys, Malein, Flora, Marsh, Sophie, Mears, Chloe, Melling, Lucy, Noonan, Matthew, Poll, L, Pratt, James, Richardson, Emma, Rowe, Anna, Semple, Calum, Shaw, Victoria, Tripp, K A, Wajero, Lilian, Williams-Howard, S A, Wootton, Dan, Wyles, J, Diwanji, Shalin, Gurram, Sambasivarao, Papineni, Padmasayee, Quaid, Sheena, Tiongson, Gerlynn, Watson, Ekaterina, Briggs, Andrew, Marks, Michael, Hastie, Claire, Rogers, Natalie, Smith, Nikki, Stensel, David, Bishop, Lettie, McIvor, Katherine, Rivera-Ortega, Pilar, Al-Sheklly, Bashar, Avram, Cristina, Blaikely, John, Buch, M, Choudhury, N, Faluyi, David, Felton, T, Gorsuch, T, Hanley, Neil, Horsley, Alex, Hussell, Tracy, Kausar, Zunaira, Odell, Natasha, Osbourne, Rebecca, Piper Hanley, Karen, Radhakrishnan, K, Stockdale, Sue, Kabir, Thomas, Scott, Janet, Stewart, Iain, Openshaw, Peter, Burn, David, Ayoub, A, Brown, J, Burns, G, Davies, Gareth, De Soyza, Anthony, Echevarria, Carlos, Fisher, Helen, Francis, C, Greenhalgh, Alan, Hogarth, Philip, Hughes, Joan, Jiwa, Kasim, Jones, G, MacGowan, G, Price, D, Sayer, Avan, Simpson, John, Tedd, H, Thomas, S, West, Sophie, Witham, M, Wright, S, Young, A, McMahon, Michael, Neill, Paula, Anderson, David, Basu, Neil, Bayes, Hannah, Brown, Ammani, Dougherty, Andrew, Fallon, K, Gilmour, L, Grieve, D, Mangion, K, Morrow, A, Sykes, R, Berry, Colin, McInnes, I B, Scott, Kathryn, Barrett, Fiona, Donaldson, A, Sage, Beth, Bell, Murdina, Brown, Angela, Hamil, R, Leitch, Karen, Macliver, L, Patel, Manish, Quigley, Jackie, Smith, Andrew, Welsh, B, Choudhury, Gaunab, Clohisey, S, Deans, Andrew, Docherty, Annemarie, Furniss, J, Harrison, Ewen, Kelly, S, Sheikh, Aziz, Chalmers, James, Connell, David, Deas, C, Elliott, Anne, George, J, Mohammed, S, Rowland, J, Solstice, AR, Sutherland, Debbie, Tee, Caroline, Bunker, Jenny, Gill, Rhyan, Nathu, Rashmita, Holmes, Katie, Adamali, H, Arnold, David, Barratt, Shaney, Dipper, A, Dunn, Sarah, Maskell, Nick, Morley, Anna, Morrison, Leigh, Stadon, Louise, Waterson, Samuel, Welch, H, Jayaraman, Bhagy, Light, Tessa, Vogiatzis, Ioannis, Almeida, Paula, Bolton, Charlotte, Hosseini, Akram, Matthews, Laura, Needham, Robert, Shaw, Karen, Thomas, Andrew, Bonnington, J, Chrystal, Melanie, Dupont, Catherine, Greenhaff, Paul, Gupta, Ayushman, Jang, W, Linford, S, Nikolaidis, Athanasios, Prosper, Sabrina, Burns, A, Kanellakis, N, Ferreira, V, Nikolaidou, C, Xie, C, Ainsworth, Mark, Alamoudi, Asma, Bloss, Angela, Carter, Penny, Cassar, M, Chen, Jin, Conneh, Florence, Dong, T, Evans, Ranuromanana, Fraser, Emily, Geddes, John, Gleeson, F, Harrison, Paul, Havinden-Williams, May, Ho, Ling Pei, Jezzard, P, Koychev, Ivan, Kurupati, Prathiba, McShane, H, Megson, Clare, Neubauer, Stefan, Nicoll, Debby, Ogg, G, Pacpaco, Edmund, Pavlides, M, Peng, Yanchun, Petousi, Nayia, Pimm, John, Rahman, Najib, Raman, Betty, Rowland, M J, Saunders, Kathryn, Sharpe, Michael, Talbot, Nick, Tunnicliffe, E M, Korszun, Ania, Kerr, Steven, Barker, R E, Cristiano, Daniele, Dormand, N, George, P, Gummadi, Mahitha, Kon, S, Liyanage, Kamal, Nolan, C M, Patel, B, Patel, Suhani, Polgar, Oliver, Shah, P, Singh, Suver, Walsh, J A, Gibbons, Michael, Ahmad, Shanaz, Brill, Simon, Hurst, John, Jarvis, Hannah, Lim, Lai, Mandal, S, Matila, Darwin, Olaosebikan, Olaoluwa, Singh, Claire, Laing, C, Baxendale, Helen, Garner, Lucie, Johnson, C, Mackie, J, Michael, Alice, Newman, J, Pack, Jamie, Paques, K, Parfrey, H, Parmar, J, Reddy, A, Halling-Brown, Mark, Dark, P, Diar-Bakerly, Nawar, Evans, D, Hardy, E, Harvey, Alice, Holgate, D, Knight, Sean, Mairs, N, Majeed, N, McMorrow, L, Oxton, J, Pendlebury, Jessica, Summersgill, C, Ugwuoke, R, Whittaker, S, Matimba-Mupaya, Wadzanai, Strong-Sheldrake, Sophia, Chowienczyk, Phillip, Bagshaw, J, Begum, M, Birchall, K, Butcher, Robyn, Carborn, H, Chan, Flora, Chapman, Kerry, Cheng, Yutung, Chetham, Luke, Clark, Cameron, Coburn, Zach, Cole, Joby, Dixon, Myles, Fairman, Alexandra, Finnigan, J, Foot, H, Foote, David, Ford, Amber, Gregory, Rebecca, Harrington, Kate, Haslam, L, Hesselden, L, Hockridge, J, Holbourn, Ailsa, Holroyd-Hind, B, Holt, L, Howell, Alice, Hurditch, E, Ilyas, F, Jarman, Claire, Lawrie, Allan, Lee, Ju Hee, Lee, Elvina, Lenagh, Rebecca, Lye, Alison, Macharia, Irene, Marshall, M, Mbuyisa, Angeline, McNeill, J, Megson, Sharon, Meiring, J, Milner, L, Misra, S, Newell, Helen, Newman, Tom, Norman, C, Nwafor, Lorenza, Pattenadk, Dibya, Plowright, Megan, Porter, Julie, Ravencroft, Phillip, Roddis, C, Rodger, J, Rowland-Jones, Sarah, Saunders, Peter, Sidebottom, J, Smith, Jacqui, Smith, Laurie, Steele, N, Stephens, G, Stimpson, R, Thamu, B, Thompson, A. A. Roger, Tinker, N, Turner, Kim, Turton, Helena, Wade, Phillip, Walker, S, Watson, James, Wilson, Imogen, Zawia, Amira, Allsop, Lynne, Bennett, Kaytie, Buckley, Phil, Flynn, Margaret, Gill, Mandy, Goodwin, Camelia, Greatorex, M, Gregory, Heidi, Heeley, Cheryl, Holloway, Leah, Holmes, Megan, Hutchinson, John, Kirk, Jill, Lovegrove, Wayne, Sewell, Terri Ann, Shelton, Sarah, Sissons, D, Slack, Katie, Smith, Susan, Sowter, D, Turner, Sarah, Whitworth, V, Wynter, Inez, Tomlinson, Johanne, Warburton, Louise, Painter, Sharon, Palmer, Sue, Redwood, Dawn, Tilley, Jo, Vickers, Carinna, Wainwright, Tania, Breen, G, Hotopf, M, Aul, Raminder, Forton, D, Ali, Mariam, Dunleavy, A, Mencias, Mark, Msimanga, N, Samakomva, T, Siddique, Sulman, Tavoukjian, Vera, Teixeira, J, Ahmed, Rubina, Francis, Richard, Connor, Lynda, Cook, Amanda, Davies, Gwyneth, Rees, Tabitha, Thaivalappil, Favas, Thomas, Caradog, McNarry, M, Williams, N, Lewis, Keir, Coulding, Martina, Jones, Heather, Kilroy, Susan, McCormick, Jacqueline, McIntosh, Jerome, Turner, Victoria, Vere, Joanne, Butt, Al-Tahoor, Savill, Heather, Kon, Samantha, Landers, G, Lota, Harpreet, Portukhay, Sofiya, Nasseri, Mariam, Daniels, Alison, Hormis, Anil, Ingham, Julie, Zeidan, Lisa, Chablani, Manish, Osborne, Lynn, Aslani, Shahab, Banerjee, Amita, Batterham, R, Baxter, Gabrielle, Bell, Robert, David, Anthony, Denneny, Emma, Hughes, Alun, Lilaonitkul, W, Mehta, P, Pakzad, Ashkan, Rangelov, Bojidar, Williams, B, Willoughby, James, Xu, Moucheng, Ahwireng, Nyarko, Bang, Dongchun, Basire, Donna, Brown, Jeremy, Chambers, Rachel, Checkley, A, Evans, R, Heightman, M, Hillman, T, Jacob, Joseph, Jastrub, Roman, Lipman, M, Logan, S, Lomas, D, Merida Morillas, Marta, Plant, Hannah, Porter, Joanna, Roy, K, Wall, E, Treibel, T, Ahmad Haider, N, Atkin, Catherine, Baggott, Rhiannon, Bates, Michelle, Botkai, A, Casey, Anna, Cooper, B, Dasgin, Joanne, Dawson, Camilla, Draxlbauer, Katharine, Gautam, N, Hazeldine, J, Hiwot, T, Holden, Sophie, Isaacs, Karen, Jackson, T, Kamwa, Vicky, Lewis, D, Lord, Janet, Madathil, S, McGee, C, Mcgee, K, Neal, Aoife, Newton-Cox, Alex, Nyaboko, Joseph, Parekh, Dhruv, Peterkin, Z, Qureshi, H, Ratcliffe, Liz, Sapey, Elizabeth, Short, J, Soulsby, Tracy, Stockley, J, Suleiman, Zehra, Thompson, Tamika, Ventura, Maximina, Walder, Sinead, Welch, Carly, Wilson, Daisy, Yasmin, S, Yip, Kay Por, Chaudhuri, N, Childs, Caroline, Djukanovic, R, Fletcher, S, Harvey, Matt, Jones, Mark, Marouzet, Elizabeth, Marshall, B, Samuel, Reena, Sass, T, Wallis, Tim, Wheeler, Helen, Steeds, R, Beckett, Paul, Dickens, Caroline, Nanda, Uttam, Aljaroof, M, Armstrong, Natalie, Arnold, H, Aung, Hnin, Bakali, Majda, Bakau, M, Baldry, E, Baldwin, Molly, Bourne, Charlotte, Bourne, Michelle, Brightling, Chris, Brunskill, Nigel, Cairns, P, Carr, Liesel, Charalambou, Amanda, Christie, C, Davies, Melanie, Daynes, Enya, Diver, Sarah, Dowling, Rachael, Edwards, Sarah, Edwardson, C, Elneima, Omer, Evans, H, Evans, Rachael, Finch, J, Glover, Sarah, Goodman, Nicola, Gooptu, Bibek, Greening, Neil, Hadley, Kate, Haldar, Pranab, Hargadon, Beverley, Harris, Victoria, Houchen-Wolloff, Linzy, Ibrahim, W, Ingram, L, Khunti, Kamlesh, Lea, A, Lee, D, McAuley, Hamish, McCann, Gerry, McCourt, P, Mcnally, Teresa, Mills, George, Monteiro, Will, Pareek, Manish, Parker, S, Prickett, Anne, Qureshi, I N, Rowland, A, Russell, Richard, Sereno, Marco, Shikotra, Aarti, Siddiqui, Salman, Singapuri, Ananga, Singh, Sally, Skeemer, J, Soares, M, Stringer, E, Thornton, T, Tobin, Martin, Ward, T J C, Woodhead, F, Yates, Tom, Yousuf, A J, Broome, Mattew, McArdle, Paul, Thickett, David, Upthegrove, Rachel, Wilkinson, Dan, Moss, Paul, Wraith, David, Evans, Jonathon, Bullmore, Ed, Heeney, Jonathon, Langenberg, Claudia, Schwaeble, William, Summers, Charlotte, Weir McCall, J, Adeloye, Davies, Newby, D E, Pius, Riinu, Rudan, Igor, Shankar-Hari, Manu, Sudlow, Catherine, Thorpe, Mat, Walmsley, Sarah, Zheng, Bang, Allan, Louise, Ballard, Clive, McGovern, Andrew, Dennis, J, Cavanagh, Jonathon, MacDonald, S, O'Donnell, Kate, Petrie, John, Sattar, Naveed, Spears, Mark, Guthrie, Elspeth, Henderson, Max, Allen, Richard, Bingham, Michelle, Brugha, Terry, Finney, Selina, Free, Rob, Jones, Don, Lawson, Claire, Lucy, Gardiner, Moss, Alistair, Mukaetova-Ladinska, Elizabeta, Novotny, Petr, Overton, Charlotte, Pearl, John, Plekhanova, Tatiana, Richardson, M, Samani, Nilesh, Sargant, Jack, Sharma, M, Steiner, Mike, Taylor, Chris, Terry, Sarah, Tong, C, Turner, E, Wormleighton, J, Zhao, Bang, Ntotsis, Kimon, Saunders, Ruth, Lozano-Rojas, Daniel, Goemans, Anne, Cuthbertson, D, Kemp, G, McArdle, Anne, Michael, Benedict, Reynolds, Will, Spencer, Lisa, Vinson, Ben, Ashworth, M, Abel, Kathryn, Chinoy, H, Deakin, Bill, Harvie, M, Miller, C A, Stanel, Stefan, Barran, Perdita, Trivedi, Drupad, McAllister-Williams, Hamish, Paddick, Stella-Maria, Rostron, Anthony, Taylor, John Paul, Baguley, David, Coleman, Chris, Cox, E, Fabbri, Laura, Francis, Susan, Hall, Ian, Hufton, E, Johnson, Simon, Khan, Fasih, Kitterick, Paaig, Morriss, Richard, Selby, Nick, Wright, Louise, Antoniades, Charalambos, Bates, A, Beggs, M, Bhui, Kamaldeep, Breeze, Katie, Channon, K M, Clark, David, Fu, X, Husain, Masud, Li, X, Lukaschuk, E, McCracken, Celeste, McGlynn, K, Menke, R, Motohashi, K, Nichols, T E, Ogbole, Godwin, Piechnik, S, Propescu, I, Propescu, J, Samat, A A, Sanders, Z B, Sigfrid, Louise, Webster, M, Kingham, Lucy, Klenerman, Paul, Lamlum, Hanan, Taquet, Maxime, Carson, G, Finnigan, L, Saunders, Laura, Wild, James, Calder, P C, Huneke, Nathan, Simons, Gemma, Baldwin, David, Bain, Steve, Daines, Luke, Bright, E, Crisp, P, Dharmagunawardena, Ruvini, Stern, M, Bailey, Elisabeth, Reddington, Anne, Wight, Andrew, Ashish, A, Cooper, Josh, Robinson, Emma, Broadley, Andrew, Barman, Laura, Brookes, Claire, Elliott, K, Griffiths, L, Guy, Zoe, Howard, Kate, Ionita, Diana, Redfearn, Heidi, Sarginson, Carol, Turnbull, Alison, Skorniewska, Zuzanna, De Deyn, Thomas, Hampshire, Adam, Trender, William R, Hellyer, Peter J, Chalmers, James D, Ho, Ling-Pei, Leavy, Olivia C, Richardson, Matthew, McAuley, Hamish J C, Singapuri, Amisha, Saunders, Ruth M, Harris, Victoria C, Greening, Neil J, Mansoori, Parisa, Harrison, Ewen M, Docherty, Annemarie B, Lone, Nazir I, Quint, Jennifer, Brightling, Christopher E, Wain, Louise V, Evans, Rachael A, Geddes, John R, and Harrison, Paul J
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- 2024
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36. The governance of public services during COVID-19: a review of challenges and opportunities
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Ashworth, Rachel, primary and Farrell, Catherine, additional
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- 2024
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37. Predicting spatiotemporal patterns of productivity and grazing from multispectral data using neural network analysis based on system complexity
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A. J. Ashworth, A. Avila, H. Smith, T. E. Winzeler, P. Owens, C. Flynn, P. O'Brien, D. Philipp, and J. Su
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Agriculture ,Environmental sciences ,GE1-350 - Abstract
Abstract Remote sensing tools, along with Global Navigation Satellite System cattle collars and digital soil maps, may help elucidate spatiotemporal relationships among soils, terrain, forages, and animals. However, standard computational procedures preclude systems‐level evaluations across this continuum due to data inoperability and processing limitations. Deep learning, a subset of neural network, may elucidate efficiency of livestock production and linkages within the livestock‐grazing environment. Consequently, we applied deep learning to environmental remote sensing data to (1) develop predictive models for yield and forage nutrition based on vegetation indices and (2) at a pixel‐level (per 55 m2), identify how grazing is linked to soil properties, forage growth and nutrition, and terrain attributes in silvopasture and pasture‐only systems. Remotely sensed data rapidly and non‐destructively estimated herbage mass and nutritive value for enhanced net and primary productivity management in livestock and grazing systems. Cattle grazed big bluestem (Andropogon gerardii ‘Vitman’) with 182% greater frequency than orchardgrass (Dactylis glomerata L.) in the pasture‐only system. Real‐time estimates of vegetative bands may assist in predicting grazing pressure for more efficient pasture resource management. Cattle grazing followed distinct soil‐landscape patterns, namely reduced cattle grazing preference occurred in areas of water accumulation, which highlights linkages among terrain, soil‐water movement, soil properties, forage nutrition, and animal grazing response spatially and temporally. Results from this study could be scaled up to improve grazing management among the largest land‐use category in the United States, that is, grasslands, which would allow for sustainable intensification of forage‐based livestock production to meet growing demands for environmentally responsible protein.
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- 2024
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38. Long-term impact of COVID-19 hospitalisation among individuals with pre-existing airway diseases in the UK: a multicentre, longitudinal cohort study – PHOSP-COVID
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Omer Elneima, John R. Hurst, Carlos Echevarria, Jennifer K. Quint, Samantha Walker, Salman Siddiqui, Petr Novotny, Paul E. Pfeffer, Jeremy S. Brown, Manu Shankar-Hari, Hamish J.C. McAuley, Olivia C. Leavy, Aarti Shikotra, Amisha Singapuri, Marco Sereno, Matthew Richardson, Ruth M. Saunders, Victoria C. Harris, Linzy Houchen-Wolloff, Neil J. Greening, Ewen M. Harrison, Annemarie B. Docherty, Nazir I. Lone, James D. Chalmers, Ling-Pei Ho, Alex Horsley, Michael Marks, Krisnah Poinasamy, Betty Raman, Rachael A. Evans, Louise V. Wain, Aziz Sheikh, Chris E. Brightling, Anthony De Soyza, Liam G. Heaney, J.K. Baillie, N.I. Lone, E. Pairo-Castineira, N. Avramidis, K. Rawlik, S Jones, L. Armstrong, B. Hairsine, H. Henson, C. Kurasz, A. Shaw, L. Shenton, H. Dobson, A. Dell, S. Fairbairn, N. Hawkings, J. Haworth, M. Hoare, V. Lewis, A. Lucey, G. Mallison, H. Nassa, C. Pennington, A. Price, C. Price, A. Storrie, G. Willis, S. Young, K. Poinasamy, S. Walker, I. Jarrold, A. Sanderson, K. Chong-James, C. David, W.Y. James, P. Pfeffer, O. Zongo, A. Martineau, C. Manisty, C. Armour, V. Brown, J. Busby, B. Connolly, T. Craig, S. Drain, L.G. Heaney, B. King, N. Magee, E. Major, D. McAulay, L. McGarvey, J. McGinness, T. Peto, R. Stone, A. Bolger, F. Davies, A. Haggar, J. Lewis, A. Lloyd, R. Manley, E. McIvor, D. Menzies, K. Roberts, W. Saxon, D. Southern, C. Subbe, V. Whitehead, A. Bularga, N.L. Mills, J. Dawson, H. El-Taweel, L. Robinson, L. Brear, K. Regan, D. Saralaya, K. Storton, S. Amoils, A. Bermperi, I. Cruz, K. Dempsey, A. Elmer, J. Fuld, H. Jones, S. Jose, S. Marciniak, M. Parkes, C. Ribeiro, J. Taylor, M. Toshner, L. Watson, J. Worsley, L. Broad, T. Evans, M. Haynes, L. Jones, L. Knibbs, A. McQueen, C. Oliver, K. Paradowski, R. Sabit, J. Williams, I. Jones, L. Milligan, E. Harris, C. Sampson, E. Davies, C. Evenden, A. Hancock, K. Hancock, C. Lynch, M. Rees, L. Roche, N. Stroud, T. Thomas-Woods, S. Heller, T. Chalder, K. Shah, E. Robertson, B. Young, M. Babores, M. Holland, N. Keenan, S. Shashaa, H. Wassall, L. Austin, E. Beranova, T. Cosier, J. Deery, T. Hazelton, H. Ramos, R. Solly, S. Turney, H. Weston, M. Ralser, L. Pearce, S. Pugmire, W. Stoker, A. Wilson, W. McCormick, E. Fraile, J. Ugoji, L. Aguilar Jimenez, G. Arbane, S. Betts, K. Bisnauthsing, A. Dewar, N. Hart, G. Kaltsakas, H. Kerslake, M.M. Magtoto, P. Marino, L.M. Martinez, M. Ostermann, J. Rossdale, T.S. Solano, M. Alvarez Corral, A. Arias, E. Bevan, D. Griffin, J. Martin, J. Owen, S. Payne, A. Prabhu, A. Reed, W. Storrar, N. Williams, C. Wrey Brown, T. Burdett, J. Featherstone, C. Lawson, A. Layton, C. Mills, L. Stephenson, Y. Ellis, P. Atkin, K. Brindle, M.G. Crooks, K. Drury, N. Easom, R. Flockton, L. Holdsworth, A. Richards, D.L. Sykes, S. Thackray-Nocera, C. Wright, S. Coetzee, K. Davies, R. Hughes, R. Loosley, H. McGuinness, A. Mohamed, L. O'Brien, Z. Omar, E. Perkins, J. Phipps, G. Ross, A. Taylor, H. Tench, R. Wolf-Roberts, L. Burden, E. Calvelo, B. Card, C. Carr, E.R. Chilvers, D. Copeland, P. Cullinan, P. Daly, L. Evison, T. Fayzan, H. Gordon, S. Haq, R.G. Jenkins, C. King, O. Kon, K. March, M. Mariveles, L. McLeavey, N. Mohamed, S. Moriera, U. Munawar, J. Nunag, U. Nwanguma, L. Orriss-Dib, A. Ross, M. Roy, E. Russell, K. Samuel, J. Schronce, N. Simpson, L. Tarusan, D.C. Thomas, C. Wood, N. Yasmin, D. Altmann, L.S. Howard, D. Johnston, A. Lingford-Hughes, W.D-C. Man, J. Mitchell, P.L. Molyneaux, C. Nicolaou, D.P. O'Regan, L. Price, J. Quint, D. Smith, R.S. Thwaites, J. Valabhji, S. Walsh, C.M. Efstathiou, F. Liew, A. Frankel, L. Lightstone, S. McAdoo, M. Wilkins, M. Willicombe, R. Touyz, A-M. Guerdette, M. Hewitt, R. Reddy, K. Warwick, S. White, A. McMahon, M. Malim, K. Bramham, M. Brown, K. Ismail, T. Nicholson, C. Pariante, C. Sharpe, S. Wessely, J. Whitney, O. Adeyemi, R. Adrego, H. Assefa-Kebede, J. Breeze, S. Byrne, P. Dulawan, A. Hoare, C.J. Jolley, A. Knighton, S. Patale, I. Peralta, N. Powell, A. Ramos, K. Shevket, F. Speranza, A. Te, A. Shah, A. Chiribiri, C. O'Brien, A. Hayday, A. Ashworth, P. Beirne, J. Clarke, C. Coupland, M. Dalton, C. Favager, J. Glossop, J. Greenwood, L. Hall, T. Hardy, A. Humphries, J. Murira, D. Peckham, S. Plein, J. Rangeley, G. Saalmink, A.L. Tan, E. Wade, B. Whittam, N. Window, J. Woods, G. Coakley, L. Turtle, L. Allerton, A.M. Allt, M. Beadsworth, A. Berridge, J. Brown, S. Cooper, A. Cross, S. Defres, S.L. Dobson, J. Earley, N. French, W. Greenhalf, K. Hainey, H.E. Hardwick, J. Hawkes, V. Highett, S. Kaprowska, A.L. Key, L. Lavelle-Langham, N. Lewis-Burke, G. Madzamba, F. Malein, S. Marsh, C. Mears, L. Melling, M.J. Noonan, L. Poll, J. Pratt, E. Richardson, A. Rowe, M.G. Semple, V. Shaw, K.A. Tripp, L.O. Wajero, S.A. Williams-Howard, D.G. Wootton, J. Wyles, S.N. Diwanji, S. Gurram, P. Papineni, S. Quaid, G.F. Tiongson, E. Watson, A. Briggs, M. Marks, C. Hastie, N. Rogers, N. Smith, D. Stensel, L. Bishop, K. McIvor, P. Rivera-Ortega, B. Al-Sheklly, C. Avram, J. Blaikely, M. Buch, N. Choudhury, D. Faluyi, T. Felton, T. Gorsuch, N.A. Hanley, A. Horsley, T. Hussell, Z. Kausar, N. Odell, R. Osbourne, K. Piper Hanley, K. Radhakrishnan, S. Stockdale, T. Kabir, J.T. Scott, P.J.M. Openshaw, I.D. Stewart, D. Burn, A. Ayoub, G. Burns, G. Davies, A. De Soyza, C. Echevarria, H. Fisher, C. Francis, A. Greenhalgh, P. Hogarth, J. Hughes, K. Jiwa, G. Jones, G. MacGowan, D. Price, A. Sayer, J. Simpson, H. Tedd, S. Thomas, S. West, M. Witham, S. Wright, A. Young, M.J. McMahon, P. Neill, D. Anderson, N. Basu, H. Bayes, A. Brown, A. Dougherty, K. Fallon, L. Gilmour, D. Grieve, K. Mangion, A. Morrow, R. Sykes, C. Berry, I.B. McInnes, K. Scott, F. Barrett, A. Donaldson, E.K. Sage, D. Bell, R. Hamil, K. Leitch, L. Macliver, M. Patel, J. Quigley, A. Smith, B. Welsh, G. Choudhury, S. Clohisey, A. Deans, A.B. Docherty, J. Furniss, E.M. Harrison, S. Kelly, A. Sheikh, J.D. Chalmers, D. Connell, C. Deas, A. Elliott, J. George, S. Mohammed, J. Rowland, A.R. Solstice, D. Sutherland, C.J. Tee, J. Bunker, R. Gill, R. Nathu, K. Holmes, H. Adamali, D. Arnold, S. Barratt, A. Dipper, S. Dunn, N. Maskell, A. Morley, L. Morrison, L. Stadon, S. Waterson, H. Welch, B. Jayaraman, T. Light, I. Vogiatzis, P. Almeida, C.E. Bolton, A. Hosseini, L. Matthews, R. Needham, K. Shaw, A.K. Thomas, J. Bonnington, M. Chrystal, C. Dupont, P.L. Greenhaff, A. Gupta, W. Jang, S. Linford, A. Nikolaidis, S. Prosper, A. Burns, N. Kanellakis, V.M. Ferreira, C. Nikolaidou, C. Xie, M. Ainsworth, A. Alamoudi, A. Bloss, P. Carter, M. Cassar, J. Chen, F. Conneh, T. Dong, R.I. Evans, E. Fraser, J.R. Geddes, F. Gleeson, P. Harrison, M. Havinden-Williams, L.P. Ho, P. Jezzard, I. Koychev, P. Kurupati, H. McShane, C. Megson, S. Neubauer, D. Nicoll, G. Ogg, E. Pacpaco, M. Pavlides, Y. Peng, N. Petousi, J. Pimm, N.M. Rahman, B. Raman, M.J. Rowland, K. Saunders, M. Sharpe, N. Talbot, E.M. Tunnicliffe, A. Korszun, S. Kerr, R.E. Barker, D. Cristiano, N. Dormand, P. George, M. Gummadi, S. Kon, K. Liyanage, C.M. Nolan, B. Patel, S. Patel, O. Polgar, P. Shah, S. Singh, J.A. Walsh, M. Gibbons, S. Ahmad, S. Brill, J. Hurst, H. Jarvis, L. Lim, S. Mandal, D. Matila, O. Olaosebikan, C. Singh, C. Laing, H. Baxendale, L. Garner, C. Johnson, J. Mackie, A. Michael, J. Newman, J. Pack, K. Paques, H. Parfrey, J. Parmar, A. Reddy, M. Halling-Brown, P. Dark, N. Diar-Bakerly, D. Evans, E. Hardy, A. Harvey, D. Holgate, S. Knight, N. Mairs, N. Majeed, L. McMorrow, J. Oxton, J. Pendlebury, C. Summersgill, R. Ugwuoke, S. Whittaker, W. Matimba-Mupaya, S. Strong-Sheldrake, P. Chowienczyk, J. Bagshaw, M. Begum, K. Birchall, R. Butcher, H. Carborn, F. Chan, K. Chapman, Y. Cheng, L. Chetham, C. Clark, Z. Coburn, J. Cole, M. Dixon, A. Fairman, J. Finnigan, H. Foot, D. Foote, A. Ford, R. Gregory, K. Harrington, L. Haslam, L. Hesselden, J. Hockridge, A. Holbourn, B. Holroyd-Hind, L. Holt, A. Howell, E. Hurditch, F. Ilyas, C. Jarman, A. Lawrie, J-H. Lee, E. Lee, R. Lenagh, A. Lye, I. Macharia, M. Marshall, A. Mbuyisa, J. McNeill, S. Megson, J. Meiring, L. Milner, S. Misra, H. Newell, T. Newman, C. Norman, L. Nwafor, D. Pattenadk, M. Plowright, J. Porter, P. Ravencroft, C. Roddis, J. Rodger, S.L. Rowland-Jones, P. Saunders, J. Sidebottom, J. Smith, L. Smith, N. Steele, G. Stephens, R. Stimpson, B. Thamu, A.A.R. Thompson, N. Tinker, K. Turner, H. Turton, P. Wade, J. Watson, I. Wilson, A. Zawia, L. Allsop, K. Bennett, P. Buckley, M. Flynn, M. Gill, C. Goodwin, M. Greatorex, H. Gregory, C. Heeley, L. Holloway, M. Holmes, J. Hutchinson, J. Kirk, W. Lovegrove, T.A. Sewell, S. Shelton, D. Sissons, K. Slack, S. Smith, D. Sowter, S. Turner, V. Whitworth, I. Wynter, J. Tomlinson, L. Warburton, S. Painter, S. Palmer, D. Redwood, J. Tilley, C. Vickers, T. Wainwright, G. Breen, M. Hotopf, R. Aul, D. Forton, M. Ali, A. Dunleavy, M. Mencias, N. Msimanga, T. Samakomva, S. Siddique, V. Tavoukjian, J. Teixeira, R. Ahmed, R. Francis, L. Connor, A. Cook, G.A. Davies, T. Rees, F. Thaivalappil, C. Thomas, M. McNarry, K.E. Lewis, M. Coulding, S. Kilroy, J. McCormick, J. McIntosh, V. Turner, J. Vere, A. Butt, H. Savill, S.S. Kon, G. Landers, H. Lota, S. Portukhay, M. Nasseri, A. Daniels, A. Hormis, J. Ingham, L. Zeidan, M. Chablani, L. Osborne, S. Aslani, A. Banerjee, R. Batterham, G. Baxter, R. Bell, A. David, E. Denneny, A.D. Hughes, W. Lilaonitkul, P. Mehta, A. Pakzad, B. Rangelov, B. Williams, J. Willoughby, M. Xu, N. Ahwireng, D. Bang, D. Basire, J.S. Brown, R.C. Chambers, A. Checkley, R. Evans, M. Heightman, T. Hillman, J. Jacob, R. Jastrub, M. Lipman, S. Logan, D. Lomas, M. Merida Morillas, H. Plant, J.C. Porter, K. Roy, E. Wall, T. Treibel, N. Ahmad Haider, C. Atkin, R. Baggott, M. Bates, A. Botkai, A. Casey, B. Cooper, J. Dasgin, C. Dawson, K. Draxlbauer, N. Gautam, J. Hazeldine, T. Hiwot, S. Holden, K. Isaacs, T. Jackson, V. Kamwa, D. Lewis, J.M. Lord, S. Madathil, C. McGhee, K. McGee, A. Neal, A. Newton-Cox, J. Nyaboko, D. Parekh, Z. Peterkin, H. Qureshi, L. Ratcliffe, E. Sapey, J. Short, T. Soulsby, J. Stockley, Z. Suleiman, T. Thompson, M. Ventura, S. Walder, C. Welch, D. Wilson, S. Yasmin, K.P. Yip, N. Chaudhuri, C. Childs, R. Djukanovic, S. Fletcher, M. Harvey, M.G. Jones, E. Marouzet, B. Marshall, R. Samuel, T. Sass, T. Wallis, H. Wheeler, R. Steeds, P. Beckett, C. Dickens, U. Nanda, M. Aljaroof, N. Armstrong, H. Arnold, H. Aung, M. Bakali, M. Bakau, E. Baldry, M. Baldwin, C. Bourne, M. Bourne, C.E. Brightling, N. Brunskill, P. Cairns, L. Carr, A. Charalambou, C. Christie, M.J. Davies, E. Daynes, S. Diver, R. Dowling, S. Edwards, C. Edwardson, O. Elneima, H. Evans, R.A. Evans, J. Finch, S. Finney, S. Glover, N. Goodman, B. Gooptu, N.J. Greening, K. Hadley, P. Haldar, B. Hargadon, V.C. Harris, L. Houchen-Wolloff, W. Ibrahim, L. Ingram, K. Khunti, A. Lea, D. Lee, H.J.C. McAuley, G.P. McCann, P. McCourt, T. McNally, G. Mills, W. Monteiro, M. Pareek, S. Parker, A. Prickett, I.N. Qureshi, A. Rowland, R. Russell, M. Sereno, A. Shikotra, S. Siddiqui, A. Singapuri, S.J. Singh, J. Skeemer, M. Soares, E. Stringer, S. Terry, T. Thornton, M. Tobin, T.J.C. Ward, F. Woodhead, T. Yates, A.J. Yousuf, B. Guillen Guiio, O.C. Leavy, L.V. Wain, M. Broome, P. McArdle, D. Thickett, R. Upthegrove, D. Wilkinson, P. Moss, D. Wraith, J. Evans, E. Bullmore, J.L. Heeney, C. Langenberg, W. Schwaeble, C. Summers, J. Weir McCall, D. Adeloye, D.E. Newby, R. Pius, I. Rudan, M. Shankar-Hari, C.L. Sudlow, M. Thorpe, S. Walmsley, B. Zheng, L. Allan, C. Ballard, A. McGovern, J. Dennis, J. Cavanagh, S. MacDonald, K. O'Donnell, J. Petrie, N. Sattar, M. Spears, E. Guthrie, M. Henderson, R.J. Allen, M. Bingham, T. Brugha, R. Free, D. Jones, L. Gardiner, A.J. Moss, E. Mukaetova-Ladinska, P. Novotny, C. Overton, J.E. Pearl, T. Plekhanova, M. Richardson, N. Samani, J. Sargent, M. Sharma, M. Steiner, C. Taylor, C. Tong, E. Turner, J. Wormleighton, B. Zhao, K. Ntotsis, R.M. Saunders, D. Lozano-Rojas, D. Cuthbertson, G. Kemp, A. McArdle, B. Michael, W. Reynolds, L.G. Spencer, B. Vinson, M. Ashworth, K. Abel, H. Chinoy, B. Deakin, M. Harvie, C.A. Miller, S. Stanel, P. Barran, D. Trivedi, H. McAllister-Williams, S. Paddick, A. Rostron, J.P. Taylor, D. Baguley, C. Coleman, E. Cox, L. Fabbri, S. Francis, I. Hall, E. Hufton, S. Johnson, F. Khan, P. Kitterick, R. Morriss, N. Selby, L. Wright, C. Antoniades, A. Bates, M. Beggs, K. Bhui, K. Breeze, K.M. Channon, D. Clark, X. Fu, M. Husain, X. Li, E. Lukaschuk, C. McCracken, K. McGlynn, R. Menke, K. Motohashi, T.E. Nichols, G. Ogbole, S. Piechnik, I. Propescu, J. Propescu, A.A. Samat, Z.B. Sanders, L. Sigfrid, M. Webster, L. Kingham, P. Klenerman, H. Lamlum, G. Carson, M. Taquet, L. Finnigan, L.C. Saunders, J.M. Wild, P.C. Calder, N. Huneke, G. Simons, D. Baldwin, S. Bain, L. Daines, E. Bright, P. Crisp, R. Dharmagunawardena, M. Stern, L. Bailey, A. Reddington, A. Wight, A. Ashish, J. Cooper, E. Robinson, A. Broadley, L. Barman, C. Brookes, K. Elliott, L. Griffiths, Z. Guy, K. Howard, D. Ionita, H. Redfearn, C. Sarginson, and A. Turnbull
- Subjects
Medicine - Abstract
Background The long-term outcomes of COVID-19 hospitalisation in individuals with pre-existing airway diseases are unknown. Methods Adult participants hospitalised for confirmed or clinically suspected COVID-19 and discharged between 5 March 2020 and 31 March 2021 were recruited to the Post-hospitalisation COVID-19 (PHOSP-COVID) study. Participants attended research visits at 5 months and 1 year post discharge. Clinical characteristics, perceived recovery, burden of symptoms and health-related quality of life (HRQoL) of individuals with pre-existing airway disease (i.e., asthma, COPD or bronchiectasis) were compared to the non-airways group. Results A total of 615 out of 2697 (22.8%) participants had a history of pre-existing airway diseases (72.0% diagnosed with asthma, 22.9% COPD and 5.1% bronchiectasis). At 1 year, the airways group participants were less likely to feel fully recovered (20.4% versus 33.2%, p
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- 2024
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39. Long COVID and cardiovascular disease: a prospective cohort study
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Amitava Banerjee, Jennifer Kathleen Quint, Linzy Houchen-Wolloff, S Thomas, Kamlesh Khunti, Naveed Sattar, J Breeze, Michael Marks, S Johnson, D Smith, C Wright, Colin Berry, Matthew Richardson, Ling-Pei Ho, C Tong, Amisha Singapuri, J Chen, Gerry P McCann, J Cole, X Li, J Greenwood, S Plein, A Brown, J Smith, J Brown, M Brown, J Lewis, A Young, Nicholas L Mills, A Banerjee, R Hughes, C King, L Osborne, S Jones, A Wilson, R Francis, Stefan Neubauer, D Wilkinson, P Marino, N Hart, G Kaltsakas, Alastair James Moss, Betty Raman, John Greenwood, F Khan, J Martin, S Smith, A Casey, A Sheikh, P Carter, T Thompson, B Patel, N Rahman, C Coleman, N Smith, B Williams, K Turner, D Lee, S Barratt, J Williams, L Jones, A Smith, A Gupta, R Reddy, S White, N Williams, A Michael, V Turner, H Evans, L Hall, C Lawson, J Hughes, H Gordon, C Dawson, A Ford, J Simpson, C Bloomfield, E Lee, A Taylor, D Anderson, J Clarke, S Turner, K Shaw, P Shah, S Misra, J Evans, H Jones, M Ali, A Arias, C Dupont, A Harvey, J Wormleighton, A Reed, L Pearce, P Harrison, M Marks, K Shah, J Cooper, C Berry, C David, J Parmar, R Ahmed, P Almeida, M Holland, L Lim, J Mitchell, K Bennett, S Walker, S Ahmad, M Begum, B Young, L Wright, M Holmes, N Sattar, D Clark, Ewen Harrison, M Sharma, J Teixeira, S Patel, D Thomas, I B McInnes, Nazir I Lone, D Grieve, D Griffin, S Siddiqui, E Turner, K McGlynn, C Mills, N Mohamed, A Hosseini, S Knight, K Samuel, L Smith, Chris Brightling, B Guillen-Guio, A Dewar, C Bourne, SJ Singh, RA Evans, I Vogiatzis, D Parekh, S Mandal, H Adamali, M Heightman, P Rivera-Ortega, S Stanel, N Chaudhuri, Y Cheng, L Bishop, F Gleeson, S Janes, D Baldwin, D Arnold, N Maskell, T Nicholson, L Howard, M Toshner, M Steiner, A Price, D Price, M Lipman, A Shaw, J Busby, M Patel, L McGarvey, R Evans, S West, N Petousi, D Thickett, T Gorsuch, J Fuld, P Cullinan, L Houchen-Wolloff, R Free, E Daynes, A De Soyza, E Harris, H Parfrey, F Woodhead, L Watson, K Jiwa, G Davies, G Jones, J Hurst, M Spears, J Finch, A Dipper, C Echevarria, G Jenkins, I Stewart, E Sapey, N Talbot, B Gooptu, M Richardson, P Greenhaff, K Roy, S Holden, R Russell, M Gibbons, A Morley, J Porter, R Djukanovic, V Lewis, T Shaw, Jayanth Ranjit Arnold, K Elliott, S Young, A David, C Armour, S Edwards, H Henson, P Atkin, A Daniels, L Zeidan, M Broome, M Gill, A Broadley, L Matthews, H Redfearn, S Kelly, C Thomas, D Evans, Z Omar, E Perkins, Annemarie B Docherty, J George, S Wessely, R Upthegrove, L Lavelle-Langham, D Bell, James Chalmers, Alun D Hughes, Victoria Harris, B Cooper, S Byrne, P Moss, C Singh, S Painter, A McMahon, M Ainsworth, K Scott, G Mills, C Carr, D Jones, D Faluyi, S Kerr, A Richards, S Parker, P Dark, T Jackson, L Carr, C Taylor, E Watson, C Vickers, L Armstrong, B Hairsine, L Allsop, L Stephenson, E Beranova, M Bates, C McGhee, M Harvey, A Cook, S Dunn, I Wynter, H Tench, R Loosley, J Featherstone, L Bailey, D Wilson, N Gautam, A Burns, Neil J Greening, B Card, N Powell, T Craig, L Daines, CM Nolan, RE Barker, JA Walsh, O Polgar, S Diver, J Quint, A Dunleavy, C Avram, C Francis, R Aul, J Rossdale, G Burns, H Tedd, T Felton, L Morrison, C Xie, D Menzies, A Haggar, S Marciniak, S Francis, T Dong, H Jarvis, S Brill, A Martineau, F Liew, P Haldar, C Price, A Butt, T Kabir, N Armstrong, P Beirne, E Cox, W Storrar, P Beckett, W Ibrahim, S Cooper, D Lewis, E Robinson, L Allan, C Antoniades, J T Scott, K Radhakrishnan, N Bishop, J Taylor, J Kirk, C Heeley, M Hewitt, J Watson, J Hutchinson, L Finnigan, D Lomas, S Macdonald, H Chinoy, A Ross, A Mohamed, M Soares, C Oliver, A Lucey, N Simpson, N Basu, S Logan, M J Davies, P C Calder, L Griffiths, K Davies, J McNeill, X Fu, P Cairns, F Davies, M Xu, J Quigley, A Ramos, R Stone, K Roberts, A Prabhu, L Robinson, C Wood, M Baldwin, S Wright, M G Jones, K Saunders, C O’Brien, N Rogers, S Heller, K Chapman, C O'Brien, J M Wild, A L Tan, J McCormick, C Childs, C Coupland, M Buch, J Dennis, G Baxter, H Welch, A D Hughes, M J McMahon, A Howell, J Kwan, A Rowland, A Ashworth, S Walsh, J Owen, I Jones, E McIvor, D Connell, R Thwaites, A McGovern, J Petrie, G Arbane, R Butcher, C Brookes, K Khunti, T Yates, P Chowienczyk, M Witham, M Stern, M Marshall, S Payne, L S Howard, J Woods, A Hormis, C Johnson, J Jacob, P McArdle, T Chalder, K Holmes, M Sharpe, D Stensel, T Peto, F Chan, H Ramos, C E Bolton, J-H Lee, P Mehta, M Ashworth, M Dalton, A Lloyd, L Austin, C Sampson, S Palmer, P Klenerman, K Howard, I Rudan, A McQueen, K Fallon, Catherine Bagot, M Webster, E Davies, S Jose, A McArdle, D Johnston, H Fisher, C Lynch, T Hardy, S Mohammed, V C Harris, B Elliott, G Coakley, J Stockley, S Barrett, E Guthrie, Y Peng, M Ventura, N Selby, A Briggs, G Stephens, E Richardson, K Bhui, J McIntosh, K Lewis, N French, H Qureshi, M Henderson, A Elliott, N I Lone, C Clark, K Ismail, C Summers, S Fletcher, J Rowland, M Hotopf, A Korszun, S Shashaa, H Gregory, P Daly, E Robertson, J S Brown, A Bates, P Saunders, B Marshall, A Cross, A Donaldson, B Zhao, H Lamlum, I Wilson, P Buckley, J Dawson, S Glover, C Christie, B Connolly, M Parkes, L Holloway, B King, F Speranza, M Haynes, T Rees, I Cruz, T McNally, G Ross, G Carson, M Dixon, H Arnold, P M George, K Harrington, M Rees, R Morriss, C Dickens, C Laing, E Hardy, L P Ho, P Chowdhury, M Roy, J Glossop, J Pratt, R A Evans, P Wade, Rachael Evans, S Defres, J Short, S Neubauer, R Batterham, E Wall, T Newman, G J Kemp, J R Geddes, E Russell, C Langenberg, N A Hanley, R Samuel, S Haq, D Trivedi, J Willoughby, E Stringer, S Marsh, K Bramham, L Lightstone, A Hancock, S Shelton, J P Greenwood, N Brunskill, K Munro, T Soulsby, U Nanda, A Ashish, K Liyanage, L Holt, E R Chilvers, D E Newby, L Ingram, A Bolger, J Tomlinson, C Ballard, A Humphries, V Brown, C Sharpe, D Forton, P Kar, R Gregory, D Redwood, R Steeds, K Mangion, A Chiribiri, L Ratcliffe, G P McCann, K M Channon, A M Shah, N L Mills, A Lawrie, A Greenhalgh, K O’Donnell, T Evans, K Drury, D Sutherland, A A R Thompson, J K Baillie, K Hancock, M Hoare, J Valabhji, V Shaw, K SLACK, N M Rahman, C J Jolley, S J SINGH, J D Chalmers, C E Brightling, L G Heaney, D F McAuley, D Peckham, R C Chambers, R G Jenkins, P J M Openshaw, P Neill, H Wheeler, A Moss, C Overton, D Altmann, Alex Horsley, J Blaikley, M Ostermann, L G Spencer, A Horsley, A Singapuri, B Hargadon, K E Lewis, I Jarrold, A Shikotra, S Terry, S S Kon, M Pareek, G Choudhury, W Monteiro, M Bourne, D Nicoll, A Morrow, L Roche, D G Wootton, E K Sage, N J Greening, J Hazeldine, J M Lord, A Zawia, WDC Man, D C Thomas, H Baxendale, J Rodger, D Saralaya, T Hussell, A Lea, M McNarry, B Al-Sheklly, S Thackray-Nocera, T Thornton, J Skeemer, S Greenwood, E Fraser, L Stadon, N Kanellakis, N Magee, S Kon, A Hayday, A J Moss, A Yousuf, N Lewis-Burke, S Finney, T Hillman, H McShane, C Pennington, L Gardiner, R Dharmagunawardena, G MacGowan, L Fabbri, C Subbe, L Burden, P Jezzard, N Samani, C Manisty, P Novotny, D J Cuthbertson, G A Davies, M G Semple, J Murira, W Greenhalf, A Hoare, Louise V Wain, L V Wain, I Hall, G Willis, O Adeyemi, H McGuinness, F Thaivalappil, M Babores, B Michael, D Burn, B Zheng, M Husain, J Hawkes, N Goodman, L Broad, L Turtle, R Gill, J Haworth, J Cavanagh, S Piechnik, C A Miller, S Whittaker, C Ribeiro, R Touyz, P L Molyneaux, J C Porter, R Solly, A Dougherty, E Bullmore, A Sayer, C Kurasz, S Walmsley, D Southern, K Brindle, T Wallis, L O’Brien, S Madathil, A Wight, B Jayaraman, M Flynn, A Checkley, M Plowright, E Major, K Isaacs, M Pavlides, W Schwaeble, E M Harrison, A Ayoub, N Stroud, E Lukaschuk, D P O'Regan, E Wade, V M Ferreira, R I Evans, S Siddique, A Lingford-Hughes, C Nicolaou, B Deakin, H Dobson, A Layton, C Atkin, R Flockton, I Peralta, T Brugha, C Pariante, C Welch, A Frankel, M Tobin, S Fairbairn, A Rowe, A K Thomas, R Sykes, F Barrett, H Atkins, C Norman, L Milner, K Abel, P Crisp, C Nolan, J Mackie, Marco Sereno, Krisnah Poinasamy, S Gurram, G Saalmink, H Bayes, H Aung, P Pfeffer, H Nassa, W McCormick, Claire Alexandra Lawson, R J Allen, Omer Elneima, J Hockridge, B Raman, A Fairman, H Turton, N Majeed, J Bonnington, M Bakali, M Shankar-Hari, L Holdsworth, A Buttress, R Sabit, A Rostron, K Piper Hanley, Olivia C Leavy, Aarti Shikotra, D Wraith, J P Taylor, A Alamoudi, O Elneima, E Denneny, L Saunders, J Earley, M Ralser, O Kon, D Basire, G Simons, Hamish JC McAuley, Ruth Saunders, K Poinasamy, R Dowling, C Edwardson, L Houchen--Wolloff, O C Leavy, H J C McAuley, T Plekhanova, R M Saunders, M Sereno, Y Ellis, H E Hardwick, W Reynolds, B Venson, A B Docherty, D Lozano-Rojas, K Ntotsis, R Pius, M Halling-Brown, S Aslani, M Beggs, M P Cassar, C McCracken, R Menke, T E Nichols, C Nikolaidou, G Ogbole, B Rangelov, D P O’Regan, A Pakzad, I Propescu, A A Samat, Z B Sanders, T Treibel, E M Tunnicliffe, J Weir McCall, I Koychev, J Pearl, D Adeloye, D Baguley, G Breen, K Breeze, F Callard, N Huneke, P Kitterick, P Mansoori, H McAllister-Williams, K McIvor, L Milligan, E Mukaetova-Ladinska, A Nevado-Holgado, S Paddick, J Pimm, S Amoils, A Bularga, A N Sattar, C L Sudlow, C M Efstathiou, J L Heeney, S L Rowland-Jones, R S Thwaites, M J Rowland, E Hufton, J E Pearl, L C Saunders, S Bain, Man W D-C, E Baldry, M Beadsworth, M Harvie, J Sargent Pimm, L Sigfrid, J Whitney, S McAdoo, K McCafferty, M Willicombe, J Bunker, C Hastie, R Nathu, L Shenton, A Dell, N Hawkings, G Mallison, A Storrie, K Chong-James, W Y James, O Zongo, A Sanderson, S Drain, D McAulay, J McGinness, R Manley, W Saxon, V Whitehead, H El-Taweel, L Brear, K Regan, K Storton, A Bermperi, K Dempsey, A Elmer, J Worsley, L Knibbs, K Paradowski, C Evenden, T Thomas-Woods, J Bradley-Potts, N Keenan, H Wassall, H Weston, T Cosier, J Deery, T Hazelton, S Turney, S Pugmire, W Stoker, LA Aguilar Jimenez, S Betts, K Bisnauthsing, H Kerslake, MM Magtoto, LM Martinez, TS Solano, E Wynn, M Alvarez Corral, E Bevan, C Wrey Brown, T Burdett, N Easom, M G Crooks, D L Sykes, S Coetzee, J Phipps, R Wolf-Roberts, S Anifowose, E Calvelo, D Copeland, L Evison, T Fayzan, K March, M Mariveles, L McLeavey, S Moriera, U Munawar, J Nunag, U Nwanguma, L Orriss- Dib, J Schronce, L Tarusan, N Yasmin, A-M Guerdette, K Warwick, R Adrego, H Assefa-Kebede, P Dulawan, A Knighton, M Malim, S Patale, K Shevket, A Te, C Favager, J Rangeley, B Whittam, N Window, L Allerton, AM All, A Berridge, S L Dobson, K Hainey, V Highett, S Kaprowska, AL Key, S Koprowska, G Madzamba, F Malein, C Mears, L Melling, M J Noonan, L Poll, K A Tripp, B Vinson, L O Wajero, S A Williams-Howard, J Wyles, S N Diwanji, P Papineni, S Quaid, G F Tiongson, P Barran, J Blaikely, N Choudhury, Z Kausar, N Odell, R Osbourne, S Stockdale, P Hogarth, L Gilmour, R Hamil, K Leitch, L Macliver, B Welsh, S Clohisey, A Deans, J Furniss, C Deas, A R Solstice, C J Tee, S Waterson, T Light, M Chrystal, W Jang, S Linford, R Needham, A Nikolaidis, S Prosper, A Bloss, M Cassar, F Conneh, M Havinden-Williams, P Kurupati, C Megson, K Motohashi, G Ogg, E Pacpaco, J Propescu, E Tunnicliffe, D Cristiano, N Dormand, M Gummadi, D Matila, O Olaosebikan, L Garner, J Pack, K Paques, NDiar Bakerly, D Holgate, N Mairs, L McMorrow, J Oxton, J Pendlebury, C Summersgill, R Ugwuoke, W Matimba-Mupaya, S Strong-Sheldrake, J Bagshaw, K Birchall, H Carborn, L Chetham, Z Coburn, J Finnigan, H Foot, D Foote, L Haslam, L Hesselden, A Holbourn, B Holroyd- Hind, E Hurditch, F Ilyas, C Jarman, R Lenagh, A Lye, I Macharia, A Mbuyisa, S Megson, J Meiring, H Newell, L Nwafor, D Pattenadk, P Ravencroft, C Roddis, J Sidebottom, N Steele, R Stimpson, B Thamu, N Tinker, N Msimanga, M Mencias, T Samakomva, V Tavoukjian, C Goodwin, M Greatorex, W Lovegrove, TA Sewell, D Sissons, D Sowter, V Whitworth, L Warburton, T Wainwright, J Tilley, L Connor, M Coulding, S Kilroy, H Savill, J Vere, E Fraile, J Ugoji, H Lota, G Landers, M Nasseri, S Portukhay, J Ingham, M Chablani, N Ahwireng, B Bang, R Jastrub, M Merida Morillas, H Plant, N Ahmad Haider, R Baggott, A Botkai, J Dasgin, K Draxlbauer, T Hiwot, V Kamwa, K Mcgee, A Neal, A Newton Cox, J Nyaboko, Z Peterkin, Z Suleiman, S Walder, S Yasmin, K P Yip, M Aljaroof, M Bakau, M Bingham, A Charalambou, B Gootpu, K Hadley, P McCourt, A Prickett, I N Qureshi, T J C Ward, E Marouzet, T Sass, E Bright, A Reddington, L Barman, Z Guy, and D Ionita
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Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
Background Pre-existing cardiovascular disease (CVD) or cardiovascular risk factors have been associated with an increased risk of complications following hospitalisation with COVID-19, but their impact on the rate of recovery following discharge is not known.Objectives To determine whether the rate of patient-perceived recovery following hospitalisation with COVID-19 was affected by the presence of CVD or cardiovascular risk factors.Methods In a multicentre prospective cohort study, patients were recruited following discharge from the hospital with COVID-19 undertaking two comprehensive assessments at 5 months and 12 months. Patients were stratified by the presence of either CVD or cardiovascular risk factors prior to hospitalisation with COVID-19 and compared with controls with neither. Full recovery was determined by the response to a patient-perceived evaluation of full recovery from COVID-19 in the context of physical, physiological and cognitive determinants of health.Results From a total population of 2545 patients (38.8% women), 472 (18.5%) and 1355 (53.2%) had CVD or cardiovascular risk factors, respectively. Compared with controls (n=718), patients with CVD and cardiovascular risk factors were older and more likely to have had severe COVID-19. Full recovery was significantly lower at 12 months in patients with CVD (adjusted OR (aOR) 0.62, 95% CI 0.43 to 0.89) and cardiovascular risk factors (aOR 0.66, 95% CI 0.50 to 0.86).Conclusion Patients with CVD or cardiovascular risk factors had a delayed recovery at 12 months following hospitalisation with COVID-19. Targeted interventions to reduce the impact of COVID-19 in patients with cardiovascular disease remain an unmet need.Trail registration number ISRCTN10980107.
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- 2024
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40. Photoelectron spectroscopy of deprotonated benzonitrile.
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Ashworth, Eleanor K. and Bull, James N.
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PHOTOELECTRON spectroscopy , *POLYCYCLIC aromatic hydrocarbons , *THERMIONIC emission , *PHOTODETACHMENT , *EXCITED states - Abstract
The recent discovery of cyano-substituted aromatic and two-ring polycyclic aromatic hydrocarbon molecules in Taurus Molecular Cloud-1 has prompted questions on how the electronic structure and excited-state dynamics of these molecules are linked with their existence and abundance. Here, we report a photodetachment and frequency- and angle-resolved photoelectron spectroscopy study of jet-cooled para-deprotonated benzonitrile (p-[Bzn-H]−). The adiabatic detachment energy was determined as 1.70 ± 0.01 eV, in good agreement with CCSD(T)/aug-cc-pVTZ calculations. The spectra across the first few electron-volts above threshold are dominated by prompt autodetachment processes associated with excitation of at least five short-lived (tens of femtoseconds) temporary anion shaped resonances since excitation cross sections are several orders of magnitude larger than direct photodetachment cross sections. The photoexcitation vibronic profile is dominated by a ≈640 cm−1 ring deformation mode. [Bzn-H]− lacks a valence-localized excited state situated below the detachment threshold and does not exhibit thermionic emission following excitation of the temporary anion resonances. Thus, [Bzn-H]− is unlikely to be stable in many interstellar environments. [ABSTRACT FROM AUTHOR]
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- 2024
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41. Insights into the domestication of avocado and potential genetic contributors to heterodichogamy
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Solares, Edwin, Morales-Cruz, Abraham, Balderas, Rosa Figueroa, Focht, Eric, Ashworth, Vanessa ETM, Wyant, Skylar, Minio, Andrea, Cantu, Dario, Arpaia, Mary Lu, and Gaut, Brandon S
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Biological Sciences ,Genetics ,Biotechnology ,Human Genome ,Persea ,Domestication ,domestication ,avocado ,population genomics ,heterodichogamy ,reference genome ,Plant Genetics and Genomics ,Biochemistry and cell biology ,Statistics - Abstract
The domestication history of the avocado (Persea americana) remains unclear. We created a reference genome from the Gwen varietal, which is closely related to the economically dominant Hass varietal. Our genome assembly had an N50 of 3.37 megabases, a BUSCO score of 91%, and was scaffolded with a genetic map, producing 12 pseudo-chromosomes with 49,450 genes. We used the Gwen genome as a reference to investigate population genomics, based on a sample of 34 resequenced accessions that represented the 3 botanical groups of P. americana. Our analyses were consistent with 3 separate domestication events; we estimated that the Mexican group diverged from the Lowland (formerly known as "West Indian") and Guatemalan groups >1 million years ago. We also identified putative targets of selective sweeps in domestication events; within the Guatemalan group, putative candidate genes were enriched for fruit development and ripening. We also investigated divergence between heterodichogamous flowering types, providing preliminary evidence for potential candidate genes involved in pollination and floral development.
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- 2023
42. Ethambutol and visual assessment in England: current practice and recommendations
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MacVinish, Sally, McMaster, David, Moledina, Tanya, Tamne, Surinder K., Ashworth, Jane, and Anderson, Sarah R.
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- 2024
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43. Integration of Respiratory Physiology and Clinical Reasoning in the Early Years of a Medical Curriculum: Engaging with Students in a Large Classroom Setting
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Hakim, Amir, Ricketts, William, Pfeffer, Paul, and Ashworth, Rachel
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Medical graduates are expected to apply scientific principles and explain the processes underlying common and important diseases. Evidence shows that integrated medical curricula, which deliver biomedical science within the context of clinical cases, facilitate student learning in preparation for practice. However, research has also shown that the student's perception of their knowledge can be lower in integrated compared to traditional courses. Thus the development of teaching methods to support both integrated learning and build student confidence in clinical reasoning is a priority. In this study, we describe the use of an audience response system to support active learning in large classes. Sessions, delivered by medical faculty from both academic and clinical backgrounds, were designed to build on the knowledge of the respiratory system in both health and disease through the interpretation of clinical cases. Results showed that student engagement was high throughout the session and students strongly agreed that the application of knowledge to real-life cases was a better way to understand clinical reasoning. Qualitative free text comments revealed that students liked the link between theory and practice and the active, integrated method of learning. In summary, this study describes a relatively simple but highly effective way of delivering integrated medical science teaching, in this case respiratory medicine, to improve student confidence in clinical reasoning. This educational approach was applied within the early years of the curriculum in preparation for teaching within a hospital setting, but the format could be applied across many different settings.
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- 2023
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44. Effects of foetal size, sex and developmental stage on adaptive transcriptional responses of skeletal muscle to intrauterine growth restriction in pigs
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Y. Cortes-Araya, S. Cheung, W. Ho, C. Stenhouse, C. J. Ashworth, C. L. Esteves, and F. X. Donadeu
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Intrauterine growth restriction (IUGR) ,Porcine ,Skeletal muscle ,Myogenesis ,Foetal development ,Medicine ,Science - Abstract
Abstract Intrauterine growth restriction (IUGR) occurs both in humans and domestic species. It has a particularly high incidence in pigs, and is a leading cause of neonatal morbidity and mortality as well as impaired postnatal growth. A key feature of IUGR is impaired muscle development, resulting in decreased meat quality. Understanding the developmental origins of IUGR, particularly at the molecular level, is important for developing effective strategies to mitigate its economic impact on the pig industry and animal welfare. The aim of this study was to characterise transcriptional profiles in the muscle of growth restricted pig foetuses at different gestational days (GD; gestational length ~ 115 days), focusing on selected genes (related to development, tissue injury and metabolism) that were previously identified as dysregulated in muscle of GD90 fetuses. Muscle samples were collected from the lightest foetus (L) and the sex-matched foetus with weight closest to the litter average (AW) from each of 22 Landrace x Large White litters corresponding to GD45 (n = 6), GD60 (n = 8) or GD90 (n = 8), followed by analyses, using RT-PCR and protein immunohistochemistry, of selected gene targets. Expression of the developmental genes, MYOD, RET and ACTN3 were markedly lower, whereas MSTN expression was higher, in the muscle of L relative to AW littermates beginning on GD45. Levels of all tissue injury-associated transcripts analysed (F5, PLG, KNG1, SELL, CCL16) were increased in L muscle on GD60 and, most prominently, on GD90. Among genes involved in metabolic regulation, KLB was expressed at higher levels in L than AW littermates beginning on GD60, whereas both IGFBP1 and AHSG were higher in L littermates on GD90 but only in males. Furthermore, the expression of genes specifically involved in lipid, hexose sugar or iron metabolism increased or, in the case of UCP3, decreased in L littermates on GD60 (UCP3, APOB, ALDOB) or GD90 (PNPLA3, TF), albeit in the case of ALDOB this only involved females. In conclusion, marked dysregulation of genes with critical roles in development in L foetuses can be observed from GD45, whereas for a majority of transcripts associated with tissue injury and metabolism differences between L and AW foetuses were apparent by GD60 or only at GD90, thus identifying different developmental windows for different types of adaptive responses to IUGR in the muscle of porcine foetuses.
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- 2024
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45. Using Point-of-care Ultrasonography to Diagnose Traumatic Arthrotomy of the Knee: A Case Series
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Jordan Mullings, Henry Ashworth, Matthew Kongkatong, and Daniel Mantuani
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Medical emergencies. Critical care. Intensive care. First aid ,RC86-88.9 - Abstract
Introduction: Accurate diagnosis of traumatic arthrotomy of the knee (TAK) is critical for patients presenting to the emergency department (ED) to ensure timely treatment. Current diagnostic modalities including plain radiography, computed tomography (CT), and the saline load test (SLT) have advantages and disadvantages. Point-of-care-ultrasonography (POCUS) offers a possible timely, low-cost, and efficient alternative method of diagnosing TAK. In this case series we present three cases where POCUS was used to diagnose TAK in the ED. Case Series: Three patients in their early 20s presented to the ED complaining of knee trauma with wounds in proximity to the joint. Mechanisms of injury included a gunshot wound in one case and blunt trauma (motor vehicle collision and bicycle crash) in two cases. In all three cases TAK was suggested on POCUS examinations by the presence of intra-articular hyperechoic foci consistent with air artifact. All three cases had TAK confirmed by orthopedic evaluation. Discussion: Ultrasound may have utility in the evaluation of patients presenting with knee trauma where TAK is a concern. The SLT is generally considered the gold standard test for diagnosis of TAK, but it is invasive and has a wide range of diagnostic accuracy. Intra-articular air has been found to be a sensitive marker for TAK in CT studies. Thus, additional investigations into the diagnostic accuracy of POCUS for this finding should be undertaken.
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- 2024
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46. Exploiting lung adaptation and phage steering to clear pan-resistant Pseudomonas aeruginosa infections in vivo
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Eleri A. Ashworth, Rosanna C. T. Wright, Rebecca K. Shears, Janet K. L. Wong, Akram Hassan, James P. J. Hall, Aras Kadioglu, and Joanne L. Fothergill
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Science - Abstract
Abstract Pseudomonas aeruginosa is a major nosocomial pathogen that causes severe disease including sepsis. Carbapenem-resistant P. aeruginosa is recognised by the World Health Organisation as a priority 1 pathogen, with urgent need for new therapeutics. As such, there is renewed interest in using bacteriophages as a therapeutic. However, the dynamics of treating pan-resistant P. aeruginosa with phage in vivo are poorly understood. Using a pan-resistant P. aeruginosa in vivo infection model, phage therapy displays strong therapeutic potential, clearing infection from the blood, kidneys, and spleen. Remaining bacteria in the lungs and liver displays phage resistance due to limiting phage adsorption. Yet, resistance to phage results in re-sensitisation to a wide range of antibiotics. In this work, we use phage steering in vivo, pre-exposing a pan resistant P. aeruginosa infection with a phage cocktail to re-sensitise bacteria to antibiotics, clearing the infection from all organs.
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- 2024
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47. Cardiorespiratory consequences of attenuated fentanyl and augmented rocuronium dosing during protocolised prehospital emergency anaesthesia at a regional air ambulance service: a retrospective study
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Sarah Morton, Zoey Spurgeon, Charlotte Ashworth, James Samouelle, and Peter B Sherren
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Pre-hospital anaesthesia ,Trauma ,Hypoxia ,Hypotension ,Drug regimens ,Medical emergencies. Critical care. Intensive care. First aid ,RC86-88.9 - Abstract
Abstract Background Pre-Hospital Emergency Anaesthesia (PHEA) has undergone significant developments since its inception. However, optimal drug dosing remains a challenge for both medical and trauma patients. Many prehospital teams have adopted a drug regimen of 3 mcg/kg fentanyl, 2 mg/kg ketamine and 1 mg/kg rocuronium (‘3:2:1’). At Essex and Herts Air Ambulance Trust (EHAAT) a new standard dosing regimen was introduced in August 2021: 1 mcg/kg fentanyl, 2 mg/kg ketamine and 2 mg/kg rocuronium (up to a maximum dose of 150 mg) (‘1:2:2’). The aim of this study was to evaluate the cardiorespiratory consequences of a new attenuated fentanyl and augmented rocuronium dosing regimen. Methods A retrospective study was conducted at EHAAT as a service evaluation. Anonymized records were reviewed from an electronic database to compare the original (‘3:2:1’) drug dosing regimen (December 2019-July 2021) and the new (‘1:2:2’) dosing regimen (September 2021-May 2023). The primary outcome was the incidence of absolute hypotension within ten minutes of induction. Secondary outcomes included immediate hypertension, immediate hypoxia and first pass success (FPS) rates. Results Following exclusions (n = 121), 720 PHEA cases were analysed (360 new vs. 360 original, no statistically significant difference in demographics). There was no difference in the rate of absolute hypotension (24.4% ‘1:2:2’ v 23.8% ‘3:2:1’, p = 0.93). In trauma patients, there was an increased first pass success (FPS) rate with the new regimen (95.1% v 86.5%, p = 0.01) and a reduced incidence of immediate hypoxia (7.9% v 14.8%, p = 0.05). There was no increase in immediate hypertensive episodes (22.7% vs. 24.2%, p = 0.73). No safety concerns were identified. Conclusion An attenuated fentanyl and augmented rocuronium dosing regimen showed no difference in absolute hypotensive episodes in a mixed cohort of medical and trauma patients. In trauma patients, the new regimen was associated with an increased FPS rate and reduced episodes of immediate hypoxia. Further research is required to understand the impact of such drug dosing in the most critically ill and injured subpopulation.
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- 2024
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48. Immunomodulatory therapy in children with paediatric inflammatory multisystem syndrome temporally associated with SARS-CoV-2 (PIMS-TS, MIS-C; RECOVERY): a randomised, controlled, open-label, platform trial
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Faust, Saul N, Haynes, Richard, Jones, Christine E, Staplin, Natalie, Whittaker, Elizabeth, Jaki, Thomas, Juszczak, Ed, Spata, Enti, Wan, Mandy, Bamford, Alasdair, Dimitri, Paul, Finn, Adam, Furness, John, Ramanan, Athimalaipet V, Gale, Christopher, Cathie, Katrina, Drysdale, Simon, Bernatoniene, Jolanta, Murray, Clare, Roehr, Charles C, Fleming, Paul, Riordan, Andrew, Bandi, Srini, Jyothish, Deepthi, Evans, Jennifer, Emonts, Marieke, Kelly, Dominic, Pathan, Nazima, Davies, Patrick, Hague, Rosie, Pollock, Louisa, Semple, Malcolm G, Peto, Leon, Baillie, J Kenneth, Buch, Maya, Jeffery, Katie, Knight, Marian, Lim, Wei Shen, Montgomery, Alan, Mukherjee, Aparna, Mumford, Andrew, Rowan, Kathryn, Thwaites, Guy, Mafham, Marion, Emberson, Jonathan, Landray, Martin J, Horby, Peter W, Chappell, Lucy, Day, Jeremy, Dung, DV, Quang, NN, Binh, Prof, Burhan, E, Alisjahbana, B, Koirala, J, Basnet, S, Kestelyn, E, Basnyat, B, Gyanwali, P, Hamers, RL, Sandercock, P, Darbyshire, J, DeMets, D, Fowler, R, 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Zulaikha, R, Zulfikar, S, Zullo, C, and Zuriaga-Alvaro, A
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49. Top 100 Stocks to Buy: 2 ADRs Worth Considering
- Author
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Ashworth, Will
- Subjects
Personal finance -- Rankings ,Shipping industry -- Rankings ,Foreign securities -- Rankings ,Stocks -- Rankings ,Business - Abstract
Every Tuesday, I write about Barchart’s Top 100 and Bottom 100 Stocks to Buy. This morning, as I checked the top and bottom 100, American Depositary Receipts (ADRs) caught my [...]
- Published
- 2024
50. Kohl’s Unusual Options Activity Screams Strangle. Buy or Sell?
- Author
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Ashworth, Will
- Subjects
Business - Abstract
Some days, it takes every fiber of my being to come up with an idea for a post about unusual options activity. Not today. I opened my computer, went to [...]
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- 2024
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