Cama de pollo en Entre Ríos. Aportes para un mejor uso y manejo

La cama de pollo (CP) es un residuo de la producción avícola de pollos parrilleros. Entre Ríos y en particular el área de influencia de la Estación Experimental del INTA Concepción del Uruguay constituyen el principal núcleo productivo de esta rama de la avicultura a nivel país. Entre Ríos concentró el 48,7% de la faena del año 2015. El objetivo del libro es acercar a profesionales, productores, empresas e instituciones interesadas, la información obtenida relativa a la CP por esta unidad del INTA, a través de una compilación.EEA Concepción del UruguayFil: Almada, Natalia Soledad. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Concepción del Uruguay; ArgentinaFil: Araujo, Santiago Ruben. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Concepción del Uruguay; ArgentinaFil: Arias, Norma Monica. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Concepción del Uruguay; ArgentinaFil: Bernigaud, Irma Isabel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Concepción del Uruguay; ArgentinaFil: Bueno, Dante Javier. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Concepción del Uruguay; ArgentinaFil: De Battista, Juan José. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Concepción del Uruguay; ArgentinaFil: Duarte, Sabrina Lorena. Universidad Nacional del Litoral. Facultad de Ingeniería Química; ArgentinaFil: Duarte, Sabrina Lorena. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). Centro Científico Tecnológico Santa Fe; ArgentinaFil: Federico, Francisco Javier. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Concepción del Uruguay; ArgentinaFil: Ferrer, José Luis. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Concepción del Uruguay. Agencia de Extensión Rural Villaguay; ArgentinaFil: Gallinger, Claudia Isabel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Concepción del Uruguay; ArgentinaFil: Gange, Juan Martí­n. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Concepción del Uruguay; ArgentinaFil: Garcia, Ana Laura. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Concepción del Uruguay; ArgentinaFil: Genta, Guillermo. Actividad privada; ArgentinaFil: Procura, Francisco. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Concepción del Uruguay; ArgentinaFil: Procura, Francisco. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET); ArgentinaFil: Pulido, Diego Germán. Actividad privada; ArgentinaFil: Re, Alejo Esteban. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Concepción del Uruguay; ArgentinaFil: Rodriguez, Francisco. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Concepción del Uruguay; ArgentinaFil: Rodriguez, Francisco. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET); ArgentinaFil: Soria, Mario. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Concepción del Uruguay; Argentin

Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries

Abstract Background Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low–middle-income countries. Results In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of ‘single-use’ consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low–middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high– and low–middle–income countries

Sufficient Reductions in Regressions with Exponential Family Inverse Predictors

We develop methodology for identifying and estimating sufficient reductions in regressions with predictors that, given the response, follow a multivariate exponential family distribution. This setup includes regressions where predictors are all continuous, all categorical, or mixtures of categorical and continuous. We derive the minimal sufficient reduction of the predictors and its maximum likelihood estimator by modeling the conditional distribution of the predictors given the response. Whereas nearly all extant estimators of sufficient reductions are linear and only partly capture the sufficient reduction, our method is not limited to linear reductions. It also provides the exact form of the sufficient reduction, which is exhaustive, its maximum likelihood (ML) estimates via an iterated reweighted least-square (IRLS) estimation algorithm, and asymptotic tests for the dimension of the regression. Supplementary materials for this article are available online.Fil: Bura, Efstathia. The George Washington University; Estados UnidosFil: Duarte, Sabrina Lorena. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Matemática Aplicada del Litoral. Universidad Nacional del Litoral. Instituto de Matemática Aplicada del Litoral; ArgentinaFil: Forzani, Liliana Maria. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Matemática Aplicada del Litoral. Universidad Nacional del Litoral. Instituto de Matemática Aplicada del Litoral; Argentin

Sufficient dimension reduction for compositional data

Recent efforts to characterize the human microbiome and its relation to chronic diseases have led to a surge in statistical development for compositional data. We develop likelihood-based sufficient dimension reduction methods (SDR) to find linear combinations that contain all the information in the compositional data on an outcome variable, i.e., are sufficient for modeling and prediction of the outcome. We consider several models for the inverse regression of the compositional vector or transformations of it, as a function of outcome. They include normal, multinomial, and Poisson graphical models that allow for complex dependencies among observed counts. These methods yield efficient estimators of the reduction and can be applied to continuous or categorical outcomes. We incorporate variable selection into the estimation via penalties and address important invariance issues arising from the compositional nature of the data. We illustrate and compare our methods and some established methods for analyzing microbiome data in simulations and using data from the Human Microbiome Project. Displaying the data in the coordinate system of the SDR linear combinations allows visual inspection and facilitates comparisons across studies.Fil: Tomassi, Diego Rodolfo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina. Universidad Nacional del Litoral. Facultad de Ingeniería Química. Departamento de Matemáticas; Argentina. Université de Technologie de Troyes; FranciaFil: Forzani, Liliana Maria. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina. Universidad Nacional del Litoral. Facultad de Ingeniería Química. Departamento de Matemáticas; ArgentinaFil: Duarte, Sabrina Lorena. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina. Universidad Nacional del Litoral. Facultad de Ingeniería Química. Departamento de Matemáticas; ArgentinaFil: Pfeiffer, Ruth M.. National Cancer Institute; Estados Unido

Incubadora internacional de empreendimentos econômicos solidários da UNILA

Nos dias 03 e 04 de outubro a PROEX realizou o SEUNI - Seminário de Extensão da UNILA, que teve como principal objetivo promover espaços de diálogo e socialização de conhecimento por meio das Ações de Extensão, transformando o espaço universitário em um ambiente democrático e participativo para a comunidade. O SEUNI apresentou os resultados obtidos durante a vigência dos projetos e programas de Extensão da UNILA, aprovados pelo Edital 01 e 07 de 2012, respectivamente. O Seminário teve uma programação bastante diversificada e contou com a participação ativa de estudantes, técnicos, professores e a comunidade externa. O evento contemplou em sua programação discussões, mesas redondas, palestras, apresentações de trabalhos orais, apresentação de pôsters, bem como de trabalhos artísticosSe por um lado a INEES se baseia na ideia de desenvolvimento social das ITCP'S que surgiu na década de 1990, devido a problemas estruturais da sociedade, como o desemprego

Clinical and microbiological characteristics of bacterial infections in patients with cirrhosis. A prospective cohort study from Argentina and Uruguay

Introduction and Objectives: there is insufficient data regarding bacterial infections in patients with cirrhosis to support recommendations for empiric antibiotic treatments, particularly in Latin America. This study aimed to evaluate bacterial infection's clinical impact and microbiological characteristics, intending to serve as a platform to revise current practices. Materials and Methods: multicenter prospective cohort study of patients with cirrhosis and bacterial infections from Argentina and Uruguay. Patient and infection-related information were collected, focusing on microbiology, antibiotic susceptibility patterns, and outcomes. Results: 472 patients were included. Spontaneous bacterial infections and urinary tract infections (UTIs) were registered in 187 (39.6%) and 116 (24.6%) patients, respectively, representing the most common infections. Of the 256 culture-positive infections, 103 (40.2%) were caused by multidrug-resistant organisms (reaching 50% for UTI), and 181 (70.7%) received adequate initial antibiotic treatment. The coverage of cefepime and ceftriaxone was over 70% for the empirical treatment of community-acquired spontaneous infections, but ceftazidime´s coverage was only 40%. For all UTI cases and for healthcare-associated or nosocomial spontaneous bacterial infections, the lower-spectrum antibiotics that covered at least 70% of the isolations were imipenem and meropenem. During hospitalization, a second bacterial infection was diagnosed in 9.8% of patients, 23.9% required at least one organ support, and 19.5% died. Conclusions: short-term mortality of bacterial infections in patients with cirrhosis is very high, and a high percentage were caused by multidrug-resistant organisms, particularly in UTIs. The information provided might serve to adapt recommendations, particularly related to empirical antibiotic treatment in Argentina and Uruguay. The study was registered in Clinical Trials (NCT03919032).Fil: Vazquez, Carolina. Hospital Italiano; ArgentinaFil: Gutierrez-Acevedo, María Nelly. Hospital 4 de Junio; ArgentinaFil: Barbero, Sabrina. Complejo Medico Policial Bartolome Churruca Andres Visca; ArgentinaFil: Notari, Lorena del Carmen. Complejo Medico Policial Bartolome Churruca Andres Visca; ArgentinaFil: Agozino, Marina. Sanatorio Guemes; ArgentinaFil: Fernandez, José Luis. Sanatorio Guemes; ArgentinaFil: Anders, María Margarita. Hospital Alemán; ArgentinaFil: Grigera, Nadia Lorena. Hospital Aleman; ArgentinaFil: Antinucci, Florencia. Hospital Alemán; ArgentinaFil: Orozco Ganem, Orlando Nicolas Federico. Hospital Alemán; ArgentinaFil: Murga, María Dolores. Hospital A. C. Padilla; ArgentinaFil: Perez, María Daniela. Hospital A. C. Padilla; ArgentinaFil: Palazzo, Ana Gracia. Hospital A. C. Padilla; ArgentinaFil: Rejtman, Liria Martinez. Hospital Teodoro J. Schestakow; ArgentinaFil: Duarte, Ivonne Giselle. Hospital 4 de Junio; ArgentinaFil: Vorobioff, Julio Daniel. Hospital Provincial del Centenario; ArgentinaFil: Trevizan, Victoria. Hospital Provincial del Centenario; ArgentinaFil: Bulaty, Sofía. Hospital Provincial del Centenario; ArgentinaFil: Bessone, Fernando. Hospital Provincial del Centenario; ArgentinaFil: Valverde, Marcelo. Hospital de Clinicas Dr. Manuel Quintela; UruguayFil: Elizondo, Martín. Hospital de Clinicas Dr. Manuel Quintela; UruguayFil: Borzi, Silvia Mabel. Hospital Prof. Rodolfo Rossi; ArgentinaFil: Stieben, Teodoro Eduardo. Provincia de Entre Rios. Hospital San Martin; ArgentinaFil: Masola, Adriano Carlos. Provincia de Entre Rios. Hospital San Martin; ArgentinaFil: Tomatis, Jesica. Hospital Privado de Rosario; ArgentinaFil: Pages, Josefina. Universidad Austral; ArgentinaFil: Tevez, Silvina. Sanatorio Guemes; ArgentinaFil: Gadano, Adrián Carlos. Hospital Italiano; ArgentinaFil: Giunta, Diego Hernan. Hospital Italiano; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Marciano, Sebastián. Hospital Italiano; Argentin

Norfloxacin prophylaxis effect on multidrug resistance in patients with cirrhosis and bacterial infections

It is unclear whether norfloxacin predisposes to infections by multidrug-resistant organisms (MDROs). We aimed to evaluate if patients with cirrhosis receiving norfloxacin prophylaxis at the time of the diagnosis of bacterial infections were more likely to present a multidrug-resistant isolate than those without prophylaxis. This is a cross-sectional study of hospitalized patients with cirrhosis and bacterial infections from Argentina and Uruguay (NCT03919032) from September 2018 to December 2020. The outcome variable was a multidrug-resistant bacterial infection. We used inverse probability of treatment weighting to estimate the odds ratio (OR) of norfloxacin on infection caused by MDROs considering potential confounders. Among the 472 patients from 28 centers, 53 (11%) were receiving norfloxacin at the time of the bacterial infection. Patients receiving norfloxacin had higher MELD-sodium, were more likely to have ascites or encephalopathy, to receive rifaximin, beta-blockers, and proton-pump inhibitors, to have a nosocomial or health-care-associated infection, prior bacterial infections, admissions to critical care units or invasive procedures, and to be admitted in a liver transplant center. In addition, we found that 13 (24.5%) patients with norfloxacin and 90 (21.5%) of those not receiving it presented infections caused by MDROs (adjusted OR 1.55; 95% CI: 0.60–4.03; p = 0.360). The use of norfloxacin prophylaxis at the time of the diagnosis of bacterial infections was not associated with multidrug resistance. These results help empiric antibiotic selection and reassure the current indication of norfloxacin prophylaxis in well-selected patients. Study registration number: NCT03919032Fil: Marciano, Sebastián. Hospital Italiano; ArgentinaFil: Gutierrez Acevedo, Maria N.. Hospital 4 de Junio; ArgentinaFil: Barbero, Sabrina. Complejo Medico Policial Bartolome Churruca Andres Visca; ArgentinaFil: del C. Notari, Lorena. Complejo Medico Policial Bartolome Churruca Andres Visca; ArgentinaFil: Agozino, Marina. Sanatorio Guemes; ArgentinaFil: Fernandez, Jose L.. Sanatorio Guemes; ArgentinaFil: Anders, Maria M.. Hospital Alemán; ArgentinaFil: Grigera, Nadia. Hospital Alemán; ArgentinaFil: Antinucci, Florencia. Hospital Alemán; ArgentinaFil: Orozco Ganem, Orlando F.. Hospital Aleman; ArgentinaFil: Murga, Maria D.. Hospital A. C. Padilla; ArgentinaFil: Perez, Daniela. Hospital A. C. Padilla; ArgentinaFil: Palazzo, Ana. Hospital A. C. Padilla; ArgentinaFil: Martinez Rejtman, Liria. Hospital Teodoro J. Schestakow; ArgentinaFil: Duarte, Ivonne G.. Hospital 4 de Junio; ArgentinaFil: Vorobioff, Julio. Hospital Provincial del Centenario; ArgentinaFil: Trevizan, Victoria. Hospital Provincial del Centenario; ArgentinaFil: Bulaty, Sofía. Hospital Provincial del Centenario; ArgentinaFil: Bessone, Fernando. Hospital Provincial del Centenario; ArgentinaFil: Valverde, Marcelo. Hospital de Clinicas Dr. Manuel Quintela; UruguayFil: Elizondo, Martín. Hospital de Clinicas Dr. Manuel Quintela; UruguayFil: Bosia, José D.. Hospital Prof. Rodolfo Rossi, la Plata; ArgentinaFil: Borzi, Silvia M.. Hospital Prof. Rodolfo Rossi, la Plata; ArgentinaFil: Stieben, Teodoro E.. Provincia de Entre Rios. Hospital San Martin; ArgentinaFil: Masola, Adriano. Provincia de Entre Rios. Hospital San Martin; ArgentinaFil: Ramos, Agñel. Sanatorio Parque; ArgentinaFil: Pages, Josefina. Universidad Austral; ArgentinaFil: Tevez, Silvina. Sanatorio Guemes; ArgentinaFil: Gadano, Adrián Carlos. Hospital Italiano; ArgentinaFil: Giunta, Diego Hernan. Hospital Italiano; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentin