Pretreatment of urine samples with SDS improves direct identification of urinary tract pathogens with matrix-assisted laser desorption ionization-time of flight mass spectrometry

[EN]We pretreated with SDS 71 urine samples with bacterial counts of >10(5) CFU/ml and matrix-assisted laser desorption ionization-time of flight (MALDI-TOF) identification scores of <2, in order to minimize failure rates. Identification improved in 46.5% of samples, remained unchanged in 49.3%, and worsened in 4.2%. The improvement was more evident for Gram-negative (54.3%) than for Gram-positive (32%) bacteria

Indicators of Good Practices of Service-Learning University

The proliferation of innovative experiences in university education has been confirmed in different forums, as well as the evidence of their impact in research. However, the available tools are limited when trying to address the quality assessment of University Service-Learning (USL) projects. We present a tool for the evaluation of your SL projects. The goal of the Matrix is to specify the essential and secondary indicators needed to develop good practices in USL: IM_USL. A protocol is established to carry out its assessment. Dimensions and phases indicators of a project are specied, as well as the agents or people involved in it. This tool tries to guide the development of USL projects and to specify different points to improve. The application of the IM_USL will allow you to explore, exhaustively, each of the dimensions and indicators that make up a USL project, regarding both the AGENTS involved and the PHASES that make up a programme. In order to gather information on the reality of the projects, the phases and agents involved in a USL project will be reviewed in particular, determining the level of achievement of the indicators that compose it and of the dimensions that specify the particularities of each indicator. Finally, a series of questions are proposed to guide the process of analysis and reflection on the quality of the evaluated project. As a result, we will be able to obtain an X-ray of the quality of the project and the possible aspects for improvement.Funding: Spanish Ministry of Science and Innovation. Grant: I+D 2019. REFERENCIA DEL PROYECTO/AEI/10.13039/50110001103

Intensive care unit discharge to the ward with a tracheostomy cannula as a risk factor for mortality: A prospective, multicenter propensity analysis

To analyze the impact of decannulation before intensive care unit discharge on ward survival in nonexperimental conditions. DESIGN: Prospective, observational survey. SETTING: Thirty-one intensive care units throughout Spain. PATIENTS: All patients admitted from March 1, 2008 to May 31, 2008. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: At intensive care unit discharge, we recorded demographic variables, severity score, and intensive care unit treatments, with special attention to tracheostomy. After intensive care unit discharge, we recorded intensive care unit readmission and hospital survival. STATISTICS: Multivariate analyses for ward mortality, with Cox proportional hazard ratio adjusted for propensity score for intensive care unit decannulation. We included 4,132 patients, 1,996 of whom needed mechanical ventilation. Of these, 260 (13%) were tracheostomized and 59 (23%) died in the intensive care unit. Of the 201 intensive care unit tracheostomized survivors, 60 were decannulated in the intensive care unit and 141 were discharged to the ward with cannulae in place. Variables associated with intensive care unit decannulation (non-neurologic disease [85% vs. 64%], vasoactive drugs [90% vs. 76%], parenteral nutrition [55% vs. 33%], acute renal failure [37% vs. 23%], and good prognosis at intensive care unit discharge [40% vs. 18%]) were included in a propensity score model for decannulation. Crude ward mortality was similar in decannulated and nondecannulated patients (22% vs. 23%); however, after adjustment for the propensity score and Sabadell Score, the presence of a tracheostomy cannula was not associated with any survival disadvantage with an odds ratio of 0.6 [0.3-1.2] (p=.1). CONCLUSION: In our multicenter setting, intensive care unit discharge before decannulation is not a risk factor

Late gadolinium enhancement distribution patterns in non-ischemic dilated cardiomyopathy: Genotype-phenotype correlation.

AIMS Late gadolinium enhancement (LGE) is frequently found in patients with dilated cardiomyopathy (DCM), there is little information about its frequency and distribution pattern according to underlying genetic substrate. We sought to describe LGE patterns according to genotype and to analyze the risk of major ventricular arrhythmias (MVA) according to patterns. METHODS AND RESULTS Cardiac magnetic resonance findings and LGE distribution according to genetics was performed in a cohort of 600 DCM patients followed at 20 Spanish centers. After exclusion of individuals with multiple causative gene variants or with variants in infrequent DCM-causing genes, 577 patients (34% females, mean age 53.5 years, LVEF 36.9 ± 13.9%) conformed the final cohort. A causative genetic variant was identified in 219 (38%) patients and 147 (25.5%) had LGE. Significant differences were found comparing LGE patterns between genes (P < 0.001). LGE was absent or rare in patients with variants in TNNT2, RBM20 and MYH7 (0%, 5% and 20%, respectively). Patients with variants in DMD, DSP and FLNC showed predominance of LGE subepicardial pattern (50%, 41% and 18%, respectively) whereas patients with variants in TTN, BAG3, LMNA and MYBPC3 showed unspecific LGE patterns. Genetic yield differed according to LGE pattern. Patients with subepicardial, lineal midwall, transmural, right ventricular insertion points or with combination of LGE patterns showed increased risk of MVA compared with patients without LGE. CONCLUSION LGE patterns in DCM has a specific distribution according to the affected gene. Certain LGE patterns are associated with increased risk of MVA and with increased yield of genetic testing.This study has been funded by Instituto Salud Carlos III (ISCIII) through the projects ‘PI18/0004, PI19/01283, and PI20/0320’ (co-funded by the European Regional Development Fund/European Social Fund ‘A way to make Europe’/‘Investing in your future’). The Hospital Universitario Puerta de Hierro, the Hospital Universitario Vall Hebrón, the Hospital General Universitario Gregorio Marañón, and the Hospital Universitario Virgen de la Arrixaca are members of the European Reference Network for Rare, Low Prevalence, and Complex Diseases of the Heart (ERN GUARD-Heart). F.d.F. receives grant support from ISCIII (CM20/00101). R.B. receives funding from the Obra Social la Caixa Foundation. M.B. receives funding from ISCIII (PI19/01283). The CNIC is supported by the ISCIII, Ministerio de Ciencia e Innovación of the Spanish Government (MCIN), and Pro CNIC Foundation.S

Natural History of MYH7-Related Dilated Cardiomyopathy

BACKGROUND Variants in myosin heavy chain 7 (MYH7) are responsible for disease in 1% to 5% of patients with dilated cardiomyopathy (DCM); however, the clinical characteristics and natural history of MYH7-related DCM are poorly described. OBJECTIVES We sought to determine the phenotype and prognosis of MYH7-related DCM. We also evaluated the influence of variant location on phenotypic expression. METHODS We studied clinical data from 147 individuals with DCM-causing MYH7 variants (47.6% female; 35.6 +/- 19.2 years) recruited from 29 international centers. RESULTS At initial evaluation, 106 (72.1%) patients had DCM (left ventricular ejection fraction: 34.5% +/- 11.7%). Median follow-up was 4.5 years (IQR: 1.7-8.0 years), and 23.7% of carriers who were initially phenotype-negative developed DCM. Phenotypic expression by 40 and 60 years was 46% and 88%, respectively, with 18 patients (16%) first diagnosed at <18 years of age. Thirty-six percent of patients with DCM met imaging criteria for LV noncompaction. During follow-up, 28% showed left ventricular reverse remodeling. Incidence of adverse cardiac events among patients with DCM at 5 years was 11.6%, with 5 (4.6%) deaths caused by end-stage heart failure (ESHF) and 5 patients (4.6%) requiring heart transplantation. The major ventricular arrhythmia rate was low (1.0% and 2.1% at 5 years in patients with DCM and in those with LVEF of <= 35%, respectively). ESHF and major ventricular arrhythmia were significantly lower compared with LMNA-related DCM and similar to DCM caused by TTN truncating variants. CONCLUSIONS MYH7-related DCM is characterized by early age of onset, high phenotypic expression, low left ventricular reverse remodeling, and frequent progression to ESHF. Heart failure complications predominate over ventricular arrhythmias, which are rare. (C) 2022 The Authors. Published by Elsevier on behalf of the American College of Cardiology Foundation

Transferencia de investigaciones virológicas a sectores educativos y generales de la comunidad

La educación es la única y verdadera herramienta válida, por excelencia, para lograr cambios positivos en la historia, en la política, en la salud o en cualquiera otro aspecto importante de la vida de los hombres. Entonces, deberíamos insistir en mejorar la calidad educativa de los ciudadanos y alumnos de todos los niveles, mejorando necesariamente la actualización de los saberes de los funcionarios, profesionales y docentes para que se inscriba en el discurso cotidiano. El desconocer, no prepararse, nos lleva a crisis sociales que inevitablemente incrementan flagelos como la pobreza, la pérdida de biodiversidad, las guerras, las epidemias, entre otros. Así, desde donde se produce y construye el conocimiento científico, la Universidad Nacional de Córdoba, Facultad de Ciencias Médicas y específicamente el Instituto de Virología "Dr. José María Vanella" también se promueve el objetivo de extensión comunitaria, brindando este proyecto a docentes, alumnos y comunidad en general de la provincia de Córdoba como servicio educativo y actualización. Las temáticas son variadas, los talleres convocan a la Divulgación científica y tecnológica de infecciones virales de importancia sanitaria su conocimiento, prevención y difusión, no solo para el sector educativo sino también para la comunidad en general. Las actividades son talleres, conferencias, laboratorios, jornadas de un día hasta dos semanas. Las metodologías aplicadas son charlas dialogadas, vídeos, dinámica de grupos, Hay evaluaciones de seguimiento a través de comentarios, relatos, encuestas. Todas las actividades de extensión del InViV cuentan con la aprobación de la Facultad Ciencias Médicas a través de las Res. Decanales anuales.Fil: Balangero, Marcos. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Gil, Pedro Ignacio: Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Gil, Pedro Ignacio: Universidad Nacional de Córdoba. Secretaría de Ciencia y Tecnología; ArgentinaFil: Frutos: María Cecilia: Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Frutos: María Cecilia: Universidad Nacional de Córdoba. Secretaría de Ciencia y Tecnología; ArgentinaFil: Díaz, Luis Adrián. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Ré, Viviana. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Farias, Adrián Alejandro. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Spinsanti, Lorena. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Venezuela, Raúl Fernando. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Kiguen, Ana Ximena. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Konigheim, Brenda. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Pisano, María Belén. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil:Masachessi, Gisela. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Barril, Patricia Angélica. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Varella"; Argentina.Fil: Barril, Patricia Angelica. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Estudios en Comunicación, Expresión y Tecnologías; Argentina.Fil: Castro, Gonzalo. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Batallán, Pedro Gonzalo. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Batallán, Pedro Gonzalo. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Estudios en Comunicación, Expresión y Tecnologías; Argentina.Fil: Quaglia, Agustín.Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Tauro, Laura Beatriz. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Tauro, Laura Beatriz. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Estudios en Comunicación, Expresión y Tecnologías; Argentina.Fil: Flores, Fernando Sebastián. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Flores, Fernando Sebastián. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Estudios en Comunicación, Expresión y Tecnologías; Argentina.Fil: Beranek, Mauricio. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Beranek, Mauricio. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Estudios en Comunicación, Expresión y Tecnologías; Argentina.Fil: Maturano, Eduardo. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Rodríguez, Pamela Elizabeth. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Cámara, Jorge Augusto. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil, Albrieu Llinás, Guillermo. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil, Albrieu Llinás, Guillermo. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Estudios en Comunicación, Expresión y Tecnologías; Argentina.Fil: Adamo, María Pilar. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Ghietto, Lucía María. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Ghietto, Lucía María. Universidad Nacional de Córdoba. Secretaría de Ciencia y Tecnología; ArgentinaFil: Pedranti, Mauro Sebastián. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Giordano, Miguel Oscar. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Martínez, Laura Cecilia.Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Isa, Maria Beatriz. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Ascheri, Stella Maris. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Paredes, Norma Gladys. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Contigiani, Marta Silvia. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Benítez, Marta. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Theiler, Gerardo. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Augello, Marysol. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Fosatti, L. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; ArgentinaFil:Moreno, F. Colegio San Martín; Argentina.Fil:Marín, M. Colegio Nuestra Señora del Sagrado Corazón; Argentina.Fil: Carreras, G. Provincia de Córdoba. Ipem 323 de Villa Angelelli; Argentina.Fil: Navarro, A. Provincia de Córdoba. Ipem 323 de Villa Angelelli; Argentina.Fil: Fuentes, M. Provincia de Córdoba. Ipem 323 de Villa Angelelli; Argentina.Fil: Santiago, T. Provincia de Córdoba. Ipem 323 de Villa Angelelli; Argentina.Fil: Cámara, Alicia. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Paglini, María Gabriela. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Cuffini, Cecilia. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Gallego, Sandra Verónica.Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Aguilar, Javier. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Paván, Jorge. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Nates, Silvia Viviana. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Enfermedades Infecciosa

TRY plant trait database – enhanced coverage and open access

Plant traits - the morphological, anatomical, physiological, biochemical and phenological characteristics of plants - determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait‐based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits - almost complete coverage for ‘plant growth form’. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait–environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives

TRY plant trait database – enhanced coverage and open access

Plant traits—the morphological, anatomical, physiological, biochemical and phenological characteristics of plants—determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait-based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits—almost complete coverage for ‘plant growth form’. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait–environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives.Rest of authors: Decky Junaedi, Robert R. Junker, Eric Justes, Richard Kabzems, Jeffrey Kane, Zdenek Kaplan, Teja Kattenborn, Lyudmila Kavelenova, Elizabeth Kearsley, Anne Kempel, Tanaka Kenzo, Andrew Kerkhoff, Mohammed I. Khalil, Nicole L. Kinlock, Wilm Daniel Kissling, Kaoru Kitajima, Thomas Kitzberger, Rasmus Kjøller, Tamir Klein, Michael Kleyer, Jitka Klimešová, Joice Klipel, Brian Kloeppel, Stefan Klotz, Johannes M. H. Knops, Takashi Kohyama, Fumito Koike, Johannes Kollmann, Benjamin Komac, Kimberly Komatsu, Christian König, Nathan J. B. Kraft, Koen Kramer, Holger Kreft, Ingolf Kühn, Dushan Kumarathunge, Jonas Kuppler, Hiroko Kurokawa, Yoko Kurosawa, Shem Kuyah, Jean-Paul Laclau, Benoit Lafleur, Erik Lallai, Eric Lamb, Andrea Lamprecht, Daniel J. Larkin, Daniel Laughlin, Yoann Le Bagousse-Pinguet, Guerric le Maire, Peter C. le Roux, Elizabeth le Roux, Tali Lee, Frederic Lens, Simon L. Lewis, Barbara Lhotsky, Yuanzhi Li, Xine Li, Jeremy W. Lichstein, Mario Liebergesell, Jun Ying Lim, Yan-Shih Lin, Juan Carlos Linares, Chunjiang Liu, Daijun Liu, Udayangani Liu, Stuart Livingstone, Joan Llusià, Madelon Lohbeck, Álvaro López-García, Gabriela Lopez-Gonzalez, Zdeňka Lososová, Frédérique Louault, Balázs A. Lukács, Petr Lukeš, Yunjian Luo, Michele Lussu, Siyan Ma, Camilla Maciel Rabelo Pereira, Michelle Mack, Vincent Maire, Annikki Mäkelä, Harri Mäkinen, Ana Claudia Mendes Malhado, Azim Mallik, Peter Manning, Stefano Manzoni, Zuleica Marchetti, Luca Marchino, Vinicius Marcilio-Silva, Eric Marcon, Michela Marignani, Lars Markesteijn, Adam Martin, Cristina Martínez-Garza, Jordi Martínez-Vilalta, Tereza Mašková, Kelly Mason, Norman Mason, Tara Joy Massad, Jacynthe Masse, Itay Mayrose, James McCarthy, M. Luke McCormack, Katherine McCulloh, Ian R. McFadden, Brian J. McGill, Mara Y. McPartland, Juliana S. Medeiros, Belinda Medlyn, Pierre Meerts, Zia Mehrabi, Patrick Meir, Felipe P. L. Melo, Maurizio Mencuccini, Céline Meredieu, Julie Messier, Ilona Mészáros, Juha Metsaranta, Sean T. Michaletz, Chrysanthi Michelaki, Svetlana Migalina, Ruben Milla, Jesse E. D. Miller, Vanessa Minden, Ray Ming, Karel Mokany, Angela T. Moles, Attila Molnár V, Jane Molofsky, Martin Molz, Rebecca A. Montgomery, Arnaud Monty, Lenka Moravcová, Alvaro Moreno-Martínez, Marco Moretti, Akira S. Mori, Shigeta Mori, Dave Morris, Jane Morrison, Ladislav Mucina, Sandra Mueller, Christopher D. Muir, Sandra Cristina Müller, François Munoz, Isla H. Myers-Smith, Randall W. Myster, Masahiro Nagano, Shawna Naidu, Ayyappan Narayanan, Balachandran Natesan, Luka Negoita, Andrew S. Nelson, Eike Lena Neuschulz, Jian Ni, Georg Niedrist, Jhon Nieto, Ülo Niinemets, Rachael Nolan, Henning Nottebrock, Yann Nouvellon, Alexander Novakovskiy, The Nutrient Network, Kristin Odden Nystuen, Anthony O'Grady, Kevin O'Hara, Andrew O'Reilly-Nugent, Simon Oakley, Walter Oberhuber, Toshiyuki Ohtsuka, Ricardo Oliveira, Kinga Öllerer, Mark E. Olson, Vladimir Onipchenko, Yusuke Onoda, Renske E. Onstein, Jenny C. Ordonez, Noriyuki Osada, Ivika Ostonen, Gianluigi Ottaviani, Sarah Otto, Gerhard E. Overbeck, Wim A. Ozinga, Anna T. Pahl, C. E. Timothy Paine, Robin J. Pakeman, Aristotelis C. Papageorgiou, Evgeniya Parfionova, Meelis Pärtel, Marco Patacca, Susana Paula, Juraj Paule, Harald Pauli, Juli G. Pausas, Begoña Peco, Josep Penuelas, Antonio Perea, Pablo Luis Peri, Ana Carolina Petisco-Souza, Alessandro Petraglia, Any Mary Petritan, Oliver L. Phillips, Simon Pierce, Valério D. Pillar, Jan Pisek, Alexandr Pomogaybin, Hendrik Poorter, Angelika Portsmuth, Peter Poschlod, Catherine Potvin, Devon Pounds, A. Shafer Powell, Sally A. Power, Andreas Prinzing, Giacomo Puglielli, Petr Pyšek, Valerie Raevel, Anja Rammig, Johannes Ransijn, Courtenay A. Ray, Peter B. Reich, Markus Reichstein, Douglas E. B. Reid, Maxime Réjou-Méchain, Victor Resco de Dios, Sabina Ribeiro, Sarah Richardson, Kersti Riibak, Matthias C. Rillig, Fiamma Riviera, Elisabeth M. R. Robert, Scott Roberts, Bjorn Robroek, Adam Roddy, Arthur Vinicius Rodrigues, Alistair Rogers, Emily Rollinson, Victor Rolo, Christine Römermann, Dina Ronzhina, Christiane Roscher, Julieta A. Rosell, Milena Fermina Rosenfield, Christian Rossi, David B. Roy, Samuel Royer-Tardif, Nadja Rüger, Ricardo Ruiz-Peinado, Sabine B. Rumpf, Graciela M. Rusch, Masahiro Ryo, Lawren Sack, Angela Saldaña, Beatriz Salgado-Negret, Roberto Salguero-Gomez, Ignacio Santa-Regina, Ana Carolina Santacruz-García, Joaquim Santos, Jordi Sardans, Brandon Schamp, Michael Scherer-Lorenzen, Matthias Schleuning, Bernhard Schmid, Marco Schmidt, Sylvain Schmitt, Julio V. Schneider, Simon D. Schowanek, Julian Schrader, Franziska Schrodt, Bernhard Schuldt, Frank Schurr, Galia Selaya Garvizu, Marina Semchenko, Colleen Seymour, Julia C. Sfair, Joanne M. Sharpe, Christine S. Sheppard, Serge Sheremetiev, Satomi Shiodera, Bill Shipley, Tanvir Ahmed Shovon, Alrun Siebenkäs, Carlos Sierra, Vasco Silva, Mateus Silva, Tommaso Sitzia, Henrik Sjöman, Martijn Slot, Nicholas G. Smith, Darwin Sodhi, Pamela Soltis, Douglas Soltis, Ben Somers, Grégory Sonnier, Mia Vedel Sørensen, Enio Egon Sosinski Jr, Nadejda A. Soudzilovskaia, Alexandre F. Souza, Marko Spasojevic, Marta Gaia Sperandii, Amanda B. Stan, James Stegen, Klaus Steinbauer, Jörg G. Stephan, Frank Sterck, Dejan B. Stojanovic, Tanya Strydom, Maria Laura Suarez, Jens-Christian Svenning, Ivana Svitková, Marek Svitok, Miroslav Svoboda, Emily Swaine, Nathan Swenson, Marcelo Tabarelli, Kentaro Takagi, Ulrike Tappeiner, Rubén Tarifa, Simon Tauugourdeau, Cagatay Tavsanoglu, Mariska te Beest, Leho Tedersoo, Nelson Thiffault, Dominik Thom, Evert Thomas, Ken Thompson, Peter E. Thornton, Wilfried Thuiller, Lubomír Tichý, David Tissue, Mark G. Tjoelker, David Yue Phin Tng, Joseph Tobias, Péter Török, Tonantzin Tarin, José M. Torres-Ruiz, Béla Tóthmérész, Martina Treurnicht, Valeria Trivellone, Franck Trolliet, Volodymyr Trotsiuk, James L. Tsakalos, Ioannis Tsiripidis, Niklas Tysklind, Toru Umehara, Vladimir Usoltsev, Matthew Vadeboncoeur, Jamil Vaezi, Fernando Valladares, Jana Vamosi, Peter M. van Bodegom, Michiel van Breugel, Elisa Van Cleemput, Martine van de Weg, Stephni van der Merwe, Fons van der Plas, Masha T. van der Sande, Mark van Kleunen, Koenraad Van Meerbeek, Mark Vanderwel, Kim André Vanselow, Angelica Vårhammar, Laura Varone, Maribel Yesenia Vasquez Valderrama, Kiril Vassilev, Mark Vellend, Erik J. Veneklaas, Hans Verbeeck, Kris Verheyen, Alexander Vibrans, Ima Vieira, Jaime Villacís, Cyrille Violle, Pandi Vivek, Katrin Wagner, Matthew Waldram, Anthony Waldron, Anthony P. Walker, Martyn Waller, Gabriel Walther, Han Wang, Feng Wang, Weiqi Wang, Harry Watkins, James Watkins, Ulrich Weber, James T. Weedon, Liping Wei, Patrick Weigelt, Evan Weiher, Aidan W. Wells, Camilla Wellstein, Elizabeth Wenk, Mark Westoby, Alana Westwood, Philip John White, Mark Whitten, Mathew Williams, Daniel E. Winkler, Klaus Winter, Chevonne Womack, Ian J. Wright, S. Joseph Wright, Justin Wright, Bruno X. Pinho, Fabiano Ximenes, Toshihiro Yamada, Keiko Yamaji, Ruth Yanai, Nikolay Yankov, Benjamin Yguel, Kátia Janaina Zanini, Amy E. Zanne, David Zelený, Yun-Peng Zhao, Jingming Zheng, Ji Zheng, Kasia Ziemińska, Chad R. Zirbel, Georg Zizka, Irié Casimir Zo-Bi, Gerhard Zotz, Christian Wirth.Max Planck Institute for Biogeochemistry; Max Planck Society; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig; International Programme of Biodiversity Science (DIVERSITAS); International Geosphere-Biosphere Programme (IGBP); Future Earth; French Foundation for Biodiversity Research (FRB); GIS ‘Climat, Environnement et Société'.http://wileyonlinelibrary.com/journal/gcbhj2021Plant Production and Soil Scienc

Mortality from gastrointestinal congenital anomalies at 264 hospitals in 74 low-income, middle-income, and high-income countries: a multicentre, international, prospective cohort study

Summary Background Congenital anomalies are the fifth leading cause of mortality in children younger than 5 years globally. Many gastrointestinal congenital anomalies are fatal without timely access to neonatal surgical care, but few studies have been done on these conditions in low-income and middle-income countries (LMICs). We compared outcomes of the seven most common gastrointestinal congenital anomalies in low-income, middle-income, and high-income countries globally, and identified factors associated with mortality. Methods We did a multicentre, international prospective cohort study of patients younger than 16 years, presenting to hospital for the first time with oesophageal atresia, congenital diaphragmatic hernia, intestinal atresia, gastroschisis, exomphalos, anorectal malformation, and Hirschsprung’s disease. Recruitment was of consecutive patients for a minimum of 1 month between October, 2018, and April, 2019. We collected data on patient demographics, clinical status, interventions, and outcomes using the REDCap platform. Patients were followed up for 30 days after primary intervention, or 30 days after admission if they did not receive an intervention. The primary outcome was all-cause, in-hospital mortality for all conditions combined and each condition individually, stratified by country income status. We did a complete case analysis. Findings We included 3849 patients with 3975 study conditions (560 with oesophageal atresia, 448 with congenital diaphragmatic hernia, 681 with intestinal atresia, 453 with gastroschisis, 325 with exomphalos, 991 with anorectal malformation, and 517 with Hirschsprung’s disease) from 264 hospitals (89 in high-income countries, 166 in middleincome countries, and nine in low-income countries) in 74 countries. Of the 3849 patients, 2231 (58·0%) were male. Median gestational age at birth was 38 weeks (IQR 36–39) and median bodyweight at presentation was 2·8 kg (2·3–3·3). Mortality among all patients was 37 (39·8%) of 93 in low-income countries, 583 (20·4%) of 2860 in middle-income countries, and 50 (5·6%) of 896 in high-income countries (p<0·0001 between all country income groups). Gastroschisis had the greatest difference in mortality between country income strata (nine [90·0%] of ten in lowincome countries, 97 [31·9%] of 304 in middle-income countries, and two [1·4%] of 139 in high-income countries; p≤0·0001 between all country income groups). Factors significantly associated with higher mortality for all patients combined included country income status (low-income vs high-income countries, risk ratio 2·78 [95% CI 1·88–4·11], p<0·0001; middle-income vs high-income countries, 2·11 [1·59–2·79], p<0·0001), sepsis at presentation (1·20 [1·04–1·40], p=0·016), higher American Society of Anesthesiologists (ASA) score at primary intervention (ASA 4–5 vs ASA 1–2, 1·82 [1·40–2·35], p<0·0001; ASA 3 vs ASA 1–2, 1·58, [1·30–1·92], p<0·0001]), surgical safety checklist not used (1·39 [1·02–1·90], p=0·035), and ventilation or parenteral nutrition unavailable when needed (ventilation 1·96, [1·41–2·71], p=0·0001; parenteral nutrition 1·35, [1·05–1·74], p=0·018). Administration of parenteral nutrition (0·61, [0·47–0·79], p=0·0002) and use of a peripherally inserted central catheter (0·65 [0·50–0·86], p=0·0024) or percutaneous central line (0·69 [0·48–1·00], p=0·049) were associated with lower mortality. Interpretation Unacceptable differences in mortality exist for gastrointestinal congenital anomalies between lowincome, middle-income, and high-income countries. Improving access to quality neonatal surgical care in LMICs will be vital to achieve Sustainable Development Goal 3.2 of ending preventable deaths in neonates and children younger than 5 years by 2030

Ferroelectric and Piezoelectric Characterization of Porous (K, Na, Li)(Nb, Ta, Sb)O₃

Polvo de KNL-NTS con estequiometria (K0.44Na0.52Li0.04)(Nb0.86Ta0.10Sb0.04)O3 fue preparado siguiendo el método convencional cerámico de mezcla de carbonatos y óxidos. La síntesis del polvo de KNL-NTS fue llevada a cabo en estado sólido a 700 ºC durante 3h. Para obtener muestras cerámicas con diferente porosidad, se llevó a cabo la sinterización de pastillas en un rango de temperaturas entre 1088 y 1125 ºC durante 2h en aire. Las muestras fueron caracterizadas estructural y microestructuralmente mediante DRX y MEB, y se determinó el grado y tipo de porosidad mediante porosimetría de intrusión de mercurio. Se investigó la influencia de la temperatura de sinterización en la porosidad y se evaluó el impacto de la misma en los ciclos de histéresis ferroeléctricos y la respuesta piezoeléctrica de las pastillas. La máxima densificación del material se consigue a 1125 ºC y la mejor respuesta ferroeléctrica, en pastillas sinterizadas a 1112 ºC. Por su parte, se observó que pastillas fabricadas en un rango de temperaturas inferior (1094-1100 ºC) donde la porosidad alcanza valores de hasta 15 % presentan buena respuesta piezo-ferroeléctrica, similar a la encontrada en las pastillas sinterizadas a 1125 ºC.KNL-NTS powder with (K0.44Na0.52Li0.04)(Nb0.86Ta0.10Sb0.04)O3 stoichiometry was prepared following the conventional ceramic method of mixing carbonates and oxides. KNL-NTS powder synthesis is carried out in solid state at 700°C for 3h. To obtain ceramic samples with different porosity the sintering of pellets is carried out in air at different temperatures between 1088 and 1125°C for 2h. Structural and microstructural characterizations are performed by XRD and SEM and the degree and type of porosity is determined by mercury intrusion porosimetry. The influence of sintering temperature on the porosity and its consequence on both the ferroelectric hysteresis loops and the piezoelectric response was evaluated. The maximum densification is achieved at 1125°C and the best ferroelectric response is achieved in sintered pellets at 1125°C. Meanwhile, it was observed that pellets sintered in a lower temperature range (1094-1100°C) where porosity reaches values up to 15 % have good ferroelectric piezoelectric response, similar to that found in the sintered pellets to 1125°C.Facultad de Ciencias Exacta