The development and pilot testing of the Self-management Programme of Activity, Coping and Education for Chronic Obstructive Pulmonary Disease (SPACE for COPD)

Purpose: There is no independent standardized self-management approach available for chronic obstructive pulmonary disease (COPD). The aim of this project was to develop and test a novel self-management manual for individuals with COPD. Patients: Participants with a confirmed diagnosis of COPD were recruited from primary care. Methods: A novel self-management manual was developed with health care professionals and patients. Five focus groups were conducted with individuals with COPD (N = 24) during development to confirm and enhance the content of the prototype manual. The Self-management Programme of Activity, Coping and Education for Chronic Obstructive Pulmonary Disease (SPACE for COPD) manual was developed as the focus of a comprehensive self-management approach facilitated by health care professionals. Preference for delivery was initial face-to-face consultation with telephone follow-up. The SPACE for COPD manual was piloted with 37 participants in primary care. Outcome measures included the Self-Report Chronic Respiratory Questionnaire, Incremental Shuttle Walk Test, and Endurance Shuttle Walking Test (ESWT); measurements were taken at baseline and 6 weeks. Results: The pilot study observed statistically significant improvements for the dyspnea domain of the Self-Report Chronic Respiratory Questionnaire and ESWT. Dyspnea showed a mean change of 0.67 (95% confidence interval 0.23–1.11, P = 0.005). ESWT score increased by 302.25 seconds (95% confidence interval 161.47–443.03, P < 0.001). Conclusion: This article describes the development and delivery of a novel self-management approach for COPD. The program, incorporating the SPACE for COPD manual, appears to provoke important changes in exercise capacity and breathlessness for individuals with COPD managed in primary care

Importance of small fishes and invasive crayfish in otter Lutra lutra diet in an English chalk stream

The diet composition of the European otter Lutra lutra was assessed using spraint analysis in the Hampshire Avon, a lowland chalk stream in Southern England, over an 18 month period. Small cyprinid fishes were the main prey item taken in all seasons, with bullhead Cottus gobio and stone loach Barbatula barbatula also important; there were relatively few larger fishes of interest to fisheries found. There were significant seasonal differences in diet composition by season, with signal crayfish Pacifastacus leniusculus only being prominent prey items in warmer months and amphibians in winter, revealing that non-fish resources were seasonally important dietary components. Reconstructed body lengths of prey revealed the only species present in diet >350 mm was pike Esox lucius. These dietary data thus provide important information for informing conservation conflicts between otters and fishery interest

Concert recording 2019-03-26

[Track 1]. Amarilli mia bella / Guilio Caccini -- [Track 2]. Les Berceaux / Gabriel Fauré -- [Tracks 3-4]. O del mio dolce ardor / Christoph Willibald von Gluck -- [Track 5]. Song of the blackbird / Roger Quilter -- [Track 6]. Per Piera bell\u27idol mio / Vincenzo Bellini -- [Track 7]. Beau soir / Claude Debussy -- [Track 8]. Heart, we will forget him / Aaron Copland -- [Track 9]. Lascia ch\u27io pianga / George Frideric Handel -- [Track 10]. E amore un ladroncello from Cosí fan tutte / Wolfgang Amadeus Mozart -- [Track 11]. Tell me oh blue blue sky / Vittorio Giannini -- [Track 12]. O del mio amoto ben / Stefano Donuady -- [Track 13]. The roadside fire / Ralph Vaughan Williams -- [Track 14]. A blackbird singing / Michael Head -- [Track 15]. Saper Vorreste from Un ballo in maschera / Giuseppe Verdi -- [Track 16]. Mit Würd und Hoheit angetan from Die Schöpfung / Joseph Haydn -- [Track 17]. The one way / Charles Ives -- [Track 18]. From Sechs Lieder, op. 13. Ich stand in dunklen Träumen Liebeszauber Ich hab\u27 in Deinem Auge / Clara Schumann -- [Track 19]. From Though love be a day. Thy fingers make early flowers All the white horses are in bed / Gwenyth Walker -- [Track 20]. Der Rattenfänger / Hugo Wolf -- [Track 21]. Fin Ch\u27han dal vano from Don Giovanni / W.A. Mozart -- [Track 22]. From Brenntano Lieder. Ich wollte ein Straüßlein binden Saüsle, liebe Myrte / Richard Strauss

Concert recording 2019-10-27

[Track 1]. Now sleeps the crimson petal / Roger Quilter -- [Track 2]. Ideale / Paolo Tosti -- [Track 3]. Intorno all\u27idol mio / Anthony Cesti -- [Track 4]. Chanson triste / Henri Duparc -- [Track 5]. Son tutta duolol / Alessandro Scarlatti -- [Track 6]. Aprile / P. Tosti -- [Track 7]. Ah, love, but a day! / Amy Beach -- [Track 8]. So shall the lute and harp awake from An Oratorio-Judas Maccebaeus / George Frideric Handel -- [Track 9]. Come again / John Dowland -- [Track 10]. Der kuss / Ludwig van Beethoven -- [Track 11]. An Chloe / W. A. Mozart -- [Track 12]. Auf dem Wasser zu singen / Franz Schubert --[Track 13]. Allerseelen / Richard Strauss -- [Track 14]. I never saw another butterfly. II. Yes, that\u27s the way things are ; [Track 15]. III. Birdsong / Lori Laitman -- [Track 16]. Je dis que rien m\u27epouvante from Carmen / Georges Bizet -- [Track 17]. Che gelinda manina from La Boheme / Giacomo Puccini -- [Track 18]. Kristine Mezines, piano Granada / Agustin Lara -- [Track 19]. My name from Eve-Song / Jake Heggie -- [Track 20]. Do not go, my love / Richard Hageman

Evaluation of the shielding initiative in Wales (EVITE Immunity): protocol for a quasiexperimental study

Introduction: Shielding aimed to protect those predicted to be at highest risk from COVID-19 and was uniquely implemented in the UK during the COVID-19 pandemic. Clinically extremely vulnerable people identified through algorithms and screening of routine National Health Service (NHS) data were individually and strongly advised to stay at home and strictly self-isolate even from others in their household. This study will generate a logic model of the intervention and evaluate the effects and costs of shielding to inform policy development and delivery during future pandemics. Methods and analysis: This is a quasiexperimental study undertaken in Wales where records for people who were identified for shielding were already anonymously linked into integrated data systems for public health decision-making. We will: interview policy-makers to understand rationale for shielding advice to inform analysis and interpretation of results; use anonymised individual-level data to select people identified for shielding advice in March 2020 and a matched cohort, from routine electronic health data sources, to compare outcomes; survey a stratified random sample of each group about activities and quality of life at 12 months; use routine and newly collected blood data to assess immunity; interview people who were identified for shielding and their carers and NHS staff who delivered healthcare during shielding, to explore compliance and experiences; collect healthcare resource use data to calculate implementation costs and cost–consequences. Our team includes people who were shielding, who used their experience to help design and deliver this study. Ethics and dissemination: The study has received approval from the Newcastle North Tyneside 2 Research Ethics Committee (IRAS 295050). We will disseminate results directly to UK government policy-makers, publish in peer-reviewed journals, present at scientific and policy conferences and share accessible summaries of results online and through public and patient networks

Effect of Cu and Sn promotion on the catalytic deoxygenation of model and algal lipids to fuel-like hydrocarbons over supported Ni catalysts

The ability of Cu and Sn to promote the performance of a 20% Ni/Al2O3 catalyst in the deoxygenation of lipids to fuel-like hydrocarbons was investigated using model triglyceride and fatty acid feeds, as well as algal lipids. In the semi-batch deoxygenation of tristearin at 260 °C a pronounced promotional effect was observed, a 20% Ni-5% Cu/Al2O3 catalyst affording both higher conversion (97%) and selectivity to C10-C17 alkanes (99%) in comparison with unpromoted 20% Ni/Al2O3 (27% conversion and 87% selectivity to C10-C17). In the same reaction at 350 °C, a 20% Ni-1% Sn/Al2O3 catalyst afforded the best results, giving yields of C10-C17 and C17 of 97% and 55%, respectively, which contrasts with the corresponding values of 87 and 21% obtained over 20% Ni/Al2O3. Equally encouraging results were obtained in the semi-batch deoxygenation of stearic acid at 300 °C, in which the 20% Ni-5% Cu/Al2O3 catalyst afforded the highest yields of C10-C17 and C17. Experiments were also conducted at 260 °C in a fixed bed reactor using triolein − a model unsaturated triglyceride − as the feed. While both 20% Ni/Al2O3 and 20% Ni-5% Cu/Al2O3 achieved quantitative yields of diesel-like hydrocarbons at all reaction times sampled, the Cu-promoted catalyst exhibited higher selectivity to longer chain hydrocarbons, a phenomenon which was also observed in experiments involving algal lipids as the feed. Characterization of fresh and spent catalysts indicates that Cu enhances the reducibility of Ni and suppresses both cracking reactions and coke-induced deactivation

Comprehensive Rare Variant Analysis via Whole-Genome Sequencing to Determine the Molecular Pathology of Inherited Retinal Disease

Inherited retinal disease is a common cause of visual impairment and represents a highly heterogeneous group of conditions. Here, we present findings from a cohort of 722 individuals with inherited retinal disease, who have had whole-genome sequencing (n = 605), whole-exome sequencing (n = 72), or both (n = 45) performed, as part of the NIHR-BioResource Rare Diseases research study. We identified pathogenic variants (single-nucleotide variants, indels, or structural variants) for 404/722 (56%) individuals. Whole-genome sequencing gives unprecedented power to detect three categories of pathogenic variants in particular: structural variants, variants in GC-rich regions, which have significantly improved coverage compared to whole-exome sequencing, and variants in non-coding regulatory regions. In addition to previously reported pathogenic regulatory variants, we have identified a previously unreported pathogenic intronic variant in $\textit{CHM}$ in two males with choroideremia. We have also identified 19 genes not previously known to be associated with inherited retinal disease, which harbor biallelic predicted protein-truncating variants in unsolved cases. Whole-genome sequencing is an increasingly important comprehensive method with which to investigate the genetic causes of inherited retinal disease.This work was supported by The National Institute for Health Research England (NIHR) for the NIHR BioResource – Rare Diseases project (grant number RG65966). The Moorfields Eye Hospital cohort of patients and clinical and imaging data were ascertained and collected with the support of grants from the National Institute for Health Research Biomedical Research Centre at Moorfields Eye Hospital, National Health Service Foundation Trust, and UCL Institute of Ophthalmology, Moorfields Eye Hospital Special Trustees, Moorfields Eye Charity, the Foundation Fighting Blindness (USA), and Retinitis Pigmentosa Fighting Blindness. M.M. is a recipient of an FFB Career Development Award. E.M. is supported by UCLH/UCL NIHR Biomedical Research Centre. F.L.R. and D.G. are supported by Cambridge NIHR Biomedical Research Centre

Building a Systematic Online Living Evidence Summary of COVID-19 Research

Throughout the global coronavirus pandemic, we have seen an unprecedented volume of COVID-19 researchpublications. This vast body of evidence continues to grow, making it difficult for research users to keep up with the pace of evolving research findings. To enable the synthesis of this evidence for timely use by researchers, policymakers, and other stakeholders, we developed an automated workflow to collect, categorise, and visualise the evidence from primary COVID-19 research studies. We trained a crowd of volunteer reviewers to annotate studies by relevance to COVID-19, study objectives, and methodological approaches. Using these human decisions, we are training machine learning classifiers and applying text-mining tools to continually categorise the findings and evaluate the quality of COVID-19 evidence