Haur eta gazte literatura eta migrazioa

[EUS] Gizartea aldaketa handia jasaten ari da eta egungo sozietateak nabaritzen du. Euskal Herrian bizi ari garen aldaketa hauen kausa garrantzitsu bat migrazioa da eta elkarbizitzako eta kulturen arteko errespetua izateko garrantzitsua da neurriak hartzea. Fenomeno honi aurre egiteko erreminta garrantzitsu bat haur eta gazte literatura da. Haur eta gazte literaturaren obra asko daude migrazioa gai bezala hartzen dutenak, beraz, esan dezakegu migrazioaren gaia ikuspuntu desberdinetatik azaltzen dela. Lan honetan, haur eta gazte literaturan migrazioaren nondik norakoak aztertu ditugu teoria azalduz eta obra desberdinen azterketak egin eta gero emaitzak eta ondorioak atera ditugu. Azkenik, hobekuntza proposamen batzuk egin ditugu.[ES] La sociedad está sufriendo un cambio y hoy en día la ciudadanía lo nota. Una de las causas por la que sufrimos este cambio es la migración y para lograr el respeto y la convivencia entre culturas es muy importante tomar medidas. Una herramienta muy importante para hacer frente a este fenómeno es la literatura infantil y juvenil. Muchas obras de literatura infantil y juvenil tienen como tema la migración, por lo tanto, podemos decir que se explica el tema de la migración desde diferentes puntos de vista. En este trabajo hemos explicado la naturaleza de la migración en la literatura infantil y juvenil y después de explicar la teoría y de hacer el análisis de diferentes obras, hemos sacado los resultados y efectos del análisis. Para terminar, hemos hecho unas propuestas de mejora[EN] Society is undergoing an important change and it is well-known. One of the principal causes of the change we are noticing in the Basque Country is the migration. So as to coexist and have respect between cultures, it is essential to take measures. An important tool to face this phenomenon is children´s and young people´s literature. Many works on this literature have migration as theme. Therefore, it can be said that migration is explained from different points of view. In this work, in order to draw the results and conclusions, we have analysed the migration concept in children´s and young people´s literature by explaining the theory and carrying out an analysis of the different literature works. To conclude, we have done some suggestions for improvement. Key words: child, young, literature, migration93 p. : il. -- Bibliogr.: p. 34-3

Haur eta gazte literatura eta migrazioa

[EUS] Gizartea aldaketa handia jasaten ari da eta egungo sozietateak nabaritzen du. Euskal Herrian bizi ari garen aldaketa hauen kausa garrantzitsu bat migrazioa da eta elkarbizitzako eta kulturen arteko errespetua izateko garrantzitsua da neurriak hartzea. Fenomeno honi aurre egiteko erreminta garrantzitsu bat haur eta gazte literatura da. Haur eta gazte literaturaren obra asko daude migrazioa gai bezala hartzen dutenak, beraz, esan dezakegu migrazioaren gaia ikuspuntu desberdinetatik azaltzen dela. Lan honetan, haur eta gazte literaturan migrazioaren nondik norakoak aztertu ditugu teoria azalduz eta obra desberdinen azterketak egin eta gero emaitzak eta ondorioak atera ditugu. Azkenik, hobekuntza proposamen batzuk egin ditugu.[ES] La sociedad está sufriendo un cambio y hoy en día la ciudadanía lo nota. Una de las causas por la que sufrimos este cambio es la migración y para lograr el respeto y la convivencia entre culturas es muy importante tomar medidas. Una herramienta muy importante para hacer frente a este fenómeno es la literatura infantil y juvenil. Muchas obras de literatura infantil y juvenil tienen como tema la migración, por lo tanto, podemos decir que se explica el tema de la migración desde diferentes puntos de vista. En este trabajo hemos explicado la naturaleza de la migración en la literatura infantil y juvenil y después de explicar la teoría y de hacer el análisis de diferentes obras, hemos sacado los resultados y efectos del análisis. Para terminar, hemos hecho unas propuestas de mejora[EN] Society is undergoing an important change and it is well-known. One of the principal causes of the change we are noticing in the Basque Country is the migration. So as to coexist and have respect between cultures, it is essential to take measures. An important tool to face this phenomenon is children´s and young people´s literature. Many works on this literature have migration as theme. Therefore, it can be said that migration is explained from different points of view. In this work, in order to draw the results and conclusions, we have analysed the migration concept in children´s and young people´s literature by explaining the theory and carrying out an analysis of the different literature works. To conclude, we have done some suggestions for improvement. Key words: child, young, literature, migration93 p. : il. -- Bibliogr.: p. 34-3

Development of a prediction model for postoperative pneumonia A multicentre prospective observational study

BACKGROUND Postoperative pneumonia is associated with increased morbidity, mortality and costs. Prediction models of pneumonia that are currently available are based on retrospectively collected data and administrative coding systems. OBJECTIVE To identify independent variables associated with the occurrence of postoperative pneumonia. DESIGN A prospective observational study of a multicentre cohort (Prospective Evaluation of a RIsk Score for postoperative pulmonary COmPlications in Europe database). SETTING Sixty-three hospitals in Europe. PATIENTS Patients undergoing surgery under general and/or regional anaesthesia during a 7-day recruitment period. MAIN OUTCOME MEASURE The primary outcome was postoperative pneumonia. Definition: the need for treatment with antibiotics for a respiratory infection and at least one of the following criteria: new or changed sputum; new or changed lung opacities on a clinically indicated chest radiograph; temperature more than 38.3 degrees C; leucocyte count more than 12 000 mu l(-1). RESULTS Postoperative pneumonia occurred in 120 out of 5094 patients (2.4%). Eighty-two of the 120 (68.3%) patients with pneumonia required ICU admission, compared with 399 of the 4974 (8.0%) without pneumonia (P < 0.001). We identified five variables independently associated with postoperative pneumonia: functional status [odds ratio (OR) 2.28, 95% confidence interval (CI) 1.58 to 3.12], pre-operative SpO(2) values while breathing room air (OR 0.83, 95% CI 0.78 to 0.84), intra-operative colloid administration (OR 2.97, 95% CI 1.94 to 3.99), intra-operative blood transfusion (OR 2.19, 95% CI 1.41 to 4.71) and surgical site (open upper abdominal surgery OR 3.98, 95% CI 2.19 to 7.59). The model had good discrimination (c-statistic 0.89) and calibration (Hosmer-Lemeshow P = 0.572). CONCLUSION We identified five variables independently associated with postoperative pneumonia. The model performed well and after external validation may be used for risk stratification and management of patients at risk of postoperative pneumonia

GWAS and meta-analysis identifies 49 genetic variants underlying critical COVID-19

Data availability: Downloadable summary data are available through the GenOMICC data site (https://genomicc.org/data). Summary statistics are available, but without the 23andMe summary statistics, except for the 10,000 most significant hits, for which full summary statistics are available. The full GWAS summary statistics for the 23andMe discovery dataset will be made available through 23andMe to qualified researchers under an agreement with 23andMe that protects the privacy of the 23andMe participants. For further information and to apply for access to the data, see the 23andMe website (https://research.23andMe.com/dataset-access/). All individual-level genotype and whole-genome sequencing data (for both academic and commercial uses) can be accessed through the UKRI/HDR UK Outbreak Data Analysis Platform (https://odap.ac.uk). A restricted dataset for a subset of GenOMICC participants is also available through the Genomics England data service. Monocyte RNA-seq data are available under the title ‘Monocyte gene expression data’ within the Oxford University Research Archives (https://doi.org/10.5287/ora-ko7q2nq66). Sequencing data will be made freely available to organizations and researchers to conduct research in accordance with the UK Policy Framework for Health and Social Care Research through a data access agreement. Sequencing data have been deposited at the European Genome–Phenome Archive (EGA), which is hosted by the EBI and the CRG, under accession number EGAS00001007111.Extended data figures and tables are available online at https://www.nature.com/articles/s41586-023-06034-3#Sec21 .Supplementary information is available online at https://www.nature.com/articles/s41586-023-06034-3#Sec22 .Code availability: Code to calculate the imputation of P values on the basis of SNPs in linkage disequilibrium is available at GitHub (https://github.com/baillielab/GenOMICC_GWAS).Acknowledgements: We thank the members of the Banco Nacional de ADN and the GRA@CE cohort group; and the research participants and employees of 23andMe for making this work possible. A full list of contributors who have provided data that were collated in the HGI project, including previous iterations, is available online (https://www.covid19hg.org/acknowledgements).Change history: 11 July 2023: A Correction to this paper has been published at: https://doi.org/10.1038/s41586-023-06383-z. -- In the version of this article initially published, the name of Ana Margarita Baldión-Elorza, of the SCOURGE Consortium, appeared incorrectly (as Ana María Baldion) and has now been amended in the HTML and PDF versions of the article.Copyright © The Author(s) 2023, Critical illness in COVID-19 is an extreme and clinically homogeneous disease phenotype that we have previously shown1 to be highly efficient for discovery of genetic associations2. Despite the advanced stage of illness at presentation, we have shown that host genetics in patients who are critically ill with COVID-19 can identify immunomodulatory therapies with strong beneficial effects in this group3. Here we analyse 24,202 cases of COVID-19 with critical illness comprising a combination of microarray genotype and whole-genome sequencing data from cases of critical illness in the international GenOMICC (11,440 cases) study, combined with other studies recruiting hospitalized patients with a strong focus on severe and critical disease: ISARIC4C (676 cases) and the SCOURGE consortium (5,934 cases). To put these results in the context of existing work, we conduct a meta-analysis of the new GenOMICC genome-wide association study (GWAS) results with previously published data. We find 49 genome-wide significant associations, of which 16 have not been reported previously. To investigate the therapeutic implications of these findings, we infer the structural consequences of protein-coding variants, and combine our GWAS results with gene expression data using a monocyte transcriptome-wide association study (TWAS) model, as well as gene and protein expression using Mendelian randomization. We identify potentially druggable targets in multiple systems, including inflammatory signalling (JAK1), monocyte–macrophage activation and endothelial permeability (PDE4A), immunometabolism (SLC2A5 and AK5), and host factors required for viral entry and replication (TMPRSS2 and RAB2A).GenOMICC was funded by Sepsis Research (the Fiona Elizabeth Agnew Trust), the Intensive Care Society, a Wellcome Trust Senior Research Fellowship (to J.K.B., 223164/Z/21/Z), the Department of Health and Social Care (DHSC), Illumina, LifeArc, the Medical Research Council, UKRI, a BBSRC Institute Program Support Grant to the Roslin Institute (BBS/E/D/20002172, BBS/E/D/10002070 and BBS/E/D/30002275) and UKRI grants MC_PC_20004, MC_PC_19025, MC_PC_1905 and MRNO2995X/1. A.D.B. acknowledges funding from the Wellcome PhD training fellowship for clinicians (204979/Z/16/Z), the Edinburgh Clinical Academic Track (ECAT) programme. This research is supported in part by the Data and Connectivity National Core Study, led by Health Data Research UK in partnership with the Office for National Statistics and funded by UK Research and Innovation (grant MC_PC_20029). Laboratory work was funded by a Wellcome Intermediate Clinical Fellowship to B.F. (201488/Z/16/Z). We acknowledge the staff at NHS Digital, Public Health England and the Intensive Care National Audit and Research Centre who provided clinical data on the participants; and the National Institute for Healthcare Research Clinical Research Network (NIHR CRN) and the Chief Scientist’s Office (Scotland), who facilitate recruitment into research studies in NHS hospitals, and to the global ISARIC and InFACT consortia. GenOMICC genotype controls were obtained using UK Biobank Resource under project 788 funded by Roslin Institute Strategic Programme Grants from the BBSRC (BBS/E/D/10002070 and BBS/E/D/30002275) and Health Data Research UK (HDR-9004 and HDR-9003). UK Biobank data were used in the GSMR analyses presented here under project 66982. The UK Biobank was established by the Wellcome Trust medical charity, Medical Research Council, Department of Health, Scottish Government and the Northwest Regional Development Agency. It has also had funding from the Welsh Assembly Government, British Heart Foundation and Diabetes UK. The work of L.K. was supported by an RCUK Innovation Fellowship from the National Productivity Investment Fund (MR/R026408/1). J.Y. is supported by the Westlake Education Foundation. SCOURGE is funded by the Instituto de Salud Carlos III (COV20_00622 to A.C., PI20/00876 to C.F.), European Union (ERDF) ‘A way of making Europe’, Fundación Amancio Ortega, Banco de Santander (to A.C.), Cabildo Insular de Tenerife (CGIEU0000219140 ‘Apuestas científicas del ITER para colaborar en la lucha contra la COVID-19’ to C.F.) and Fundación Canaria Instituto de Investigación Sanitaria de Canarias (PIFIISC20/57 to C.F.). We also acknowledge the contribution of the Centro National de Genotipado (CEGEN) and Centro de Supercomputación de Galicia (CESGA) for funding this project by providing supercomputing infrastructures. A.D.L. is a recipient of fellowships from the National Council for Scientific and Technological Development (CNPq)-Brazil (309173/2019-1 and 201527/2020-0)