5 research outputs found

    Soporte familiar y calidad de vida en adultos mayores: Comunidad Laicas Doroteas de la Fressinetti, distrito de José Leonardo Ortiz, 2023

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    El presente estudio, tuvo como objetivo demostrar la relación que tiene el soporte familiar y la calidad de vida de los adultos mayores de la comunidad Laicas Doroteas de la Fressinetti, en el distrito de José Leonardo Ortiz en el 2023.Para ello se desarrolló un estudio cuantitativo no experimental del tipo descriptivo, correlacional y de campo. La muestra estuvo conformada por 25 adultos mayores, los cuales tienen bajo soporte familiar y son parte de la comunidad Laicas Doroteas de la Fressinetti. Para la recolección de datos se utilizó como técnica la encuesta y como instrumento un cuestionario modificado bajo preguntas dicotómicas y estructurados por 64 ítems. Los resultados de la investigación demostraron que el tipo de soporte familiar si se relaciona con la calidad de vida, por lo que las familias que fomentaron un bajo soporte a sus adultos mayores, debido a la desinformación, la escasez de personas encargadas de las necesidades del familiar o la carencia de familiares cercanos en hogares unipersonales vieron afectada su dinámica familiar, la forma de atención a las urgencias y su convivencia; sin embargo, ellos al estar predispuestos a integrarse bajo redes secundarias o terciarias, como programas sociales, centros de salud, fortalecieron en gran parte su bienestar integral. De acuerdo a lo expuesto, hubo una relación significativa entre el soporte familiar y la calidad de vida. Este vínculo identificó que en los miembros de la comunidad Laicas Doroteas de la Fressinetti, el tener un bajo soporte familiar desencadeno una regular calidad de vida.TesisDesarrollo humano, comunicación y ciencias jurídicas para enfrentar los desafíos globale

    Abstracts from the Food Allergy and Anaphylaxis Meeting 2016

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    Escmid And Ecmm Joint Clinical Guidelines For The Diagnosis And Management Of Systemic Phaeohyphomycosis: Diseases Caused By Black Fungi

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    The aetiological agents of many invasive fungal infections are saprobes and opportunistic pathogens. Some of these fungi are darkly pigmented due to melanin production and traditionally have been named dematiaceous'. The melanized fungi cause a wide array of clinical syndromes ranging from superficial to deep-seated infections. Diagnosis relies on histopathological examination of clinical specimens and on examination of cultures. Sequencing is recommended for accurate species identification, especially for unusual or newly described pathogens. In cases of mycetoma and chromoblastomycosis, pathognomonic histological findings are useful and the Fontana-Masson stain, specific for melanin, usually confirms the diagnosis. There are no standardized therapies but voriconazole, posaconazole and itraconazole demonstrate the most consistent in vitro activity against this group of fungi. Oral itraconazole has been considered the drug of choice, given the extensive clinical experience with this drug. However, voriconazole may presumably be superior for central nervous system infections because of its ability to achieve good levels in the cerebrospinal fluid. Posaconazole is a well-tolerated alternative drug, backed by less clinical experience but with excellent salvage treatment results after failure of other antifungals. Amphotericin B has been useful as alternative therapy in some cases. Combination antifungal therapy is recommended for cerebral abscesses when surgery is not possible and for disseminated infections in immunocompromised patients.WoSScopu

    Safety and tolerability of subcutaneous trastuzumab for the adjuvant treatment of human epidermal growth factor receptor 2-positive early breast cancer: SafeHer phase III study's primary analysis of 2573 patients

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    A global metagenomic map of urban microbiomes and antimicrobial resistance

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    We present a global atlas of 4,728 metagenomic samples from mass-transit systems in 60 cities over 3 years, representing the first systematic, worldwide catalog of the urban microbial ecosystem. This atlas provides an annotated, geospatial profile of microbial strains, functional characteristics, antimicrobial resistance (AMR) markers, and genetic elements, including 10,928 viruses, 1,302 bacteria, 2 archaea, and 838,532 CRISPR arrays not found in reference databases. We identified 4,246 known species of urban microorganisms and a consistent set of 31 species found in 97% of samples that were distinct from human commensal organisms. Profiles of AMR genes varied widely in type and density across cities. Cities showed distinct microbial taxonomic signatures that were driven by climate and geographic differences. These results constitute a high-resolution global metagenomic atlas that enables discovery of organisms and genes, highlights potential public health and forensic applications, and provides a culture-independent view of AMR burden in cities.Funding: the Tri-I Program in Computational Biology and Medicine (CBM) funded by NIH grant 1T32GM083937; GitHub; Philip Blood and the Extreme Science and Engineering Discovery Environment (XSEDE), supported by NSF grant number ACI-1548562 and NSF award number ACI-1445606; NASA (NNX14AH50G, NNX17AB26G), the NIH (R01AI151059, R25EB020393, R21AI129851, R35GM138152, U01DA053941); STARR Foundation (I13- 0052); LLS (MCL7001-18, LLS 9238-16, LLS-MCL7001-18); the NSF (1840275); the Bill and Melinda Gates Foundation (OPP1151054); the Alfred P. Sloan Foundation (G-2015-13964); Swiss National Science Foundation grant number 407540_167331; NIH award number UL1TR000457; the US Department of Energy Joint Genome Institute under contract number DE-AC02-05CH11231; the National Energy Research Scientific Computing Center, supported by the Office of Science of the US Department of Energy; Stockholm Health Authority grant SLL 20160933; the Institut Pasteur Korea; an NRF Korea grant (NRF-2014K1A4A7A01074645, 2017M3A9G6068246); the CONICYT Fondecyt Iniciación grants 11140666 and 11160905; Keio University Funds for Individual Research; funds from the Yamagata prefectural government and the city of Tsuruoka; JSPS KAKENHI grant number 20K10436; the bilateral AT-UA collaboration fund (WTZ:UA 02/2019; Ministry of Education and Science of Ukraine, UA:M/84-2019, M/126-2020); Kyiv Academic Univeristy; Ministry of Education and Science of Ukraine project numbers 0118U100290 and 0120U101734; Centro de Excelencia Severo Ochoa 2013–2017; the CERCA Programme / Generalitat de Catalunya; the CRG-Novartis-Africa mobility program 2016; research funds from National Cheng Kung University and the Ministry of Science and Technology; Taiwan (MOST grant number 106-2321-B-006-016); we thank all the volunteers who made sampling NYC possible, Minciencias (project no. 639677758300), CNPq (EDN - 309973/2015-5), the Open Research Fund of Key Laboratory of Advanced Theory and Application in Statistics and Data Science – MOE, ECNU, the Research Grants Council of Hong Kong through project 11215017, National Key RD Project of China (2018YFE0201603), and Shanghai Municipal Science and Technology Major Project (2017SHZDZX01) (L.S.
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