51 research outputs found

    Bioinspired Magneto-optical Bacteria

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    “Two-in-one” magneto-optical bacteria have been produced using the probiotic Lactobacillus fermentum for the first time. We took advantage of two features of bacteria to synthesize this novel and bifunctional nanostructure: their metal-reducing properties, to produce gold nanoparticles, and their capacity to incorporate iron oxide nanoparticles at their external surface. The magneto-optical bacteria survive the process and behave as a magnet at room temperature.This work was funded by Biosearch S.A. (POSTBIO project-Agency for Innovation and Development of Andalucia IDEA) and by MINECO and FEDER (project CTQ2012-32236)

    Predicting infectious complications in neutropenic children and young people with cancer (IPD protocol)

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    <p>Abstract</p> <p>Background</p> <p>A common and potentially life-threatening complication of the treatment of childhood cancer is infection, which frequently presents as fever with neutropenia. The standard management of such episodes is the extensive use of intravenous antibiotics, and though it produces excellent survival rates of over 95%, it greatly inconveniences the three-fourths of patients who do not require such aggressive treatment. There have been a number of studies which have aimed to develop risk prediction models to stratify treatment. Individual participant data (IPD) meta-analysis in therapeutic studies has been developed to improve the precision and reliability of answers to questions of treatment effect and recently have been suggested to be used to answer questions regarding prognosis and diagnosis to gain greater power from the frequently small individual studies.</p> <p>Design</p> <p>In the IPD protocol, we will collect and synthesise IPD from multiple studies and examine the outcomes of episodes of febrile neutropenia as a consequence of their treatment for malignant disease. We will develop and evaluate a risk stratification model using hierarchical regression models to stratify patients by their risk of experiencing adverse outcomes during an episode. We will also explore specific practical and methodological issues regarding adaptation of established techniques of IPD meta-analysis of interventions for use in synthesising evidence derived from IPD from multiple studies for use in predictive modelling contexts.</p> <p>Discussion</p> <p>Our aim in using this model is to define a group of individuals at low risk for febrile neutropenia who might be treated with reduced intensity or duration of antibiotic therapy and so reduce the inconvenience and cost of these episodes, as well as to define a group of patients at very high risk of complications who could be subject to more intensive therapies. The project will also help develop methods of IPD predictive modelling for use in future studies of risk prediction.</p

    СтруĐșтура Đž Ń‡Đ°ŃŃ‚ĐŸŃ‚Đ° ŃĐŸĐżŃƒŃ‚ŃŃ‚ĐČующох Đ·Đ°Đ±ĐŸĐ»Đ”ĐČĐ°ĐœĐžĐč Đž сĐČŃĐ·Đ°ĐœĐœŃ‹Ń… с ĐœĐžĐŒĐž ĐżĐŸŃĐ»Đ”ĐŸĐżĐ”Ń€Đ°Ń†ĐžĐŸĐœĐœŃ‹Ń… ĐŸŃĐ»ĐŸĐ¶ĐœĐ”ĐœĐžĐč: ĐœĐ°Ń†ĐžĐŸĐœĐ°Đ»ŃŒĐœĐŸĐ” ĐœĐ°Đ±Đ»ŃŽĐŽĐ°Ń‚Đ”Đ»ŃŒĐœĐŸĐ” ĐŒĐœĐŸĐłĐŸŃ†Đ”ĐœŃ‚Ń€ĐŸĐČĐŸĐ” ĐžŃŃĐ»Đ”ĐŽĐŸĐČĐ°ĐœĐžĐ” STOPRISK

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    АКбУАЛЬНОСбЬ: ĐžŃ†Đ”ĐœĐșĐ° росĐșĐ° Đž ĐČŃ‹ĐŽĐ”Đ»Đ”ĐœĐžĐ” группы ĐżĐ°Ń†ĐžĐ”ĐœŃ‚ĐŸĐČ Ń ĐČŃ‹ŃĐŸĐșĐŸĐč ĐČĐ”Ń€ĐŸŃŃ‚ĐœĐŸŃŃ‚ŃŒŃŽ разĐČотоя ĐœĐ”Đ±Đ»Đ°ĐłĐŸĐżŃ€ĐžŃŃ‚ĐœĐŸĐłĐŸ ĐžŃŃ…ĐŸĐŽĐ°Â â€” ĐŸŃĐœĐŸĐČĐ° ŃŃ„Ń„Đ”ĐșтоĐČĐœĐŸĐč ĐżŃ€ĐŸŃ„ĐžĐ»Đ°ĐșтоĐșĐž ĐżĐŸŃĐ»Đ”ĐŸĐżĐ”Ń€Đ°Ń†ĐžĐŸĐœĐœŃ‹Ń… ĐœĐ”Đ±Đ»Đ°ĐłĐŸĐżŃ€ĐžŃŃ‚ĐœŃ‹Ń… ŃĐŸĐ±Ń‹Ń‚ĐžĐč. ЩЕЛЬ ИССЛЕДОВАНИЯ: ĐŸĐżŃ€Đ”ĐŽĐ”Đ»ĐžŃ‚ŃŒ струĐșтуру Đž Ń‡Đ°ŃŃ‚ĐŸŃ‚Ńƒ ŃĐŸĐżŃƒŃ‚ŃŃ‚ĐČующох Đ·Đ°Đ±ĐŸĐ»Đ”ĐČĐ°ĐœĐžĐč ĐČ ĐżŃ€Đ”ĐŽĐŸĐżĐ”Ń€Đ°Ń†ĐžĐŸĐœĐœŃ‹Đč ĐżĐ”Ń€ĐžĐŸĐŽ Đž Đ°ŃŃĐŸŃ†ĐžĐžŃ€ĐŸĐČĐ°ĐœĐœŃ‹Đ” с ĐœĐžĐŒĐž ĐœĐ”Đ±Đ»Đ°ĐłĐŸĐżŃ€ĐžŃŃ‚ĐœŃ‹Đ” ĐżĐŸŃĐ»Đ”ĐŸĐżĐ”Ń€Đ°Ń†ĐžĐŸĐœĐœŃ‹Đ” ĐžŃŃ…ĐŸĐŽŃ‹. ĐœĐĐąĐ•Đ Đ˜ĐĐ›Đ« И ĐœĐ•ĐąĐžĐ”Đ«: ĐŸŃ€ĐŸĐČĐ”ĐŽĐ”Đœ Đ°ĐœĐ°Đ»ĐžĐ· ĐżĐŸĐșазатДлДĐč 8241Â ĐżĐ°Ń†ĐžĐ”ĐœŃ‚Đ° базы STOPRISK, ĐŸĐżĐ”Ń€ĐžŃ€ĐŸĐČĐ°ĐœĐœŃ‹Ń… ĐœĐ° ĐŸŃ€ĐłĐ°ĐœĐ°Ń… Đ±Ń€ŃŽŃˆĐœĐŸĐč ĐżĐŸĐ»ĐŸŃŃ‚Đž Đž ĐŒĐ°Đ»ĐŸĐłĐŸ Ń‚Đ°Đ·Đ° Đ·Đ° ĐżĐ”Ń€ĐžĐŸĐŽ с 1Â ĐžŃŽĐ»Ń 2019 г. ĐżĐŸ 30Â Đ°ĐżŃ€Đ”Đ»Ń 2022 г. РЕЗУЛЏйАйЫ: ĐĄĐŸĐżŃƒŃ‚ŃŃ‚ĐČŃƒŃŽŃ‰ĐžĐ” Đ·Đ°Đ±ĐŸĐ»Đ”ĐČĐ°ĐœĐžŃ ĐČŃŃ‚Ń€Đ”Ń‡Đ°Đ»ĐžŃŃŒ у 4638Â ĐżĐ°Ń†ĐžĐ”ĐœŃ‚ĐŸĐČ (56,3 %), про ŃŃ‚ĐŸĐŒ ĐŸĐŽĐœĐŸ Đ·Đ°Đ±ĐŸĐ»Đ”ĐČĐ°ĐœĐžĐ” ĐœĐ°Đ±Đ»ŃŽĐŽĐ°Đ»Đž у 1872Â ĐżĐ°Ń†ĐžĐ”ĐœŃ‚ĐŸĐČ (22,7 %), ŃĐŸŃ‡Đ”Ń‚Đ°ĐœĐžĐ” ĐŽĐČух Đ·Đ°Đ±ĐŸĐ»Đ”ĐČĐ°ĐœĐžĐč — у 1383Â ĐżĐ°Ń†ĐžĐ”ĐœŃ‚ĐŸĐČ (16,8 %), трДх Đ·Đ°Đ±ĐŸĐ»Đ”ĐČĐ°ĐœĐžĐč — у 814Â ĐżĐ°Ń†ĐžĐ”ĐœŃ‚ĐŸĐČ (9,9 %), чДтырДх Đ·Đ°Đ±ĐŸĐ»Đ”ĐČĐ°ĐœĐžĐč — у 395Â ĐżĐ°Ń†ĐžĐ”ĐœŃ‚ĐŸĐČ (4,8 %), Đ±ĐŸĐ»Đ”Đ” 4 — у 170Â ĐżĐ°Ń†ĐžĐ”ĐœŃ‚ĐŸĐČ (2,0 %). ĐĐ°ĐžĐ±ĐŸĐ»Đ”Đ” Ń‡Đ°ŃŃ‚ĐŸ ĐČŃŃ‚Ń€Đ”Ń‡Đ°Đ»ĐžŃŃŒ ĐłĐžĐżĐ”Ń€Ń‚ĐŸĐœĐžŃ‡Đ”ŃĐșая Đ±ĐŸĐ»Đ”Đ·ĐœŃŒÂ â€” 48,2 %, Ń…Ń€ĐŸĐœĐžŃ‡Đ”ŃĐșая ŃĐ”Ń€ĐŽĐ”Ń‡ĐœĐ°Ń ĐœĐ”ĐŽĐŸŃŃ‚Đ°Ń‚ĐŸŃ‡ĐœĐŸŃŃ‚ŃŒ (20,7 %), ĐžŃˆĐ”ĐŒĐžŃ‡Đ”ŃĐșая Đ±ĐŸĐ»Đ”Đ·ĐœŃŒ сДрЎца (19,3 %). ĐĐ°Đ»ĐžŃ‡ĐžĐ” ĐŸĐŽĐœĐŸĐłĐŸ ĐŸŃĐ»ĐŸĐ¶ĐœĐ”ĐœĐžŃ Đž Đ±ĐŸĐ»Đ”Đ” Đ·Đ°Ń„ĐžĐșŃĐžŃ€ĐŸĐČĐ°ĐœĐŸ у 285Â ĐżĐ°Ń†ĐžĐ”ĐœŃ‚ĐŸĐČ (3,5 %), Đ»Đ”Ń‚Đ°Đ»ŃŒĐœŃ‹Đč ĐžŃŃ…ĐŸĐŽÂ â€” у 36Â ĐżĐ°Ń†ĐžĐ”ĐœŃ‚ĐŸĐČ (0,43 %). ĐŁ 74,0 % ĐżĐ°Ń†ĐžĐ”ĐœŃ‚ĐŸĐČ ĐœĐ°Đ±Đ»ŃŽĐŽĐ°Đ»Đž Đ”ĐŽĐžĐœŃŃ‚ĐČĐ”ĐœĐœĐŸĐ” ĐŸŃĐ»ĐŸĐ¶ĐœĐ”ĐœĐžĐ”, у 14,0 % — ŃĐŸŃ‡Đ”Ń‚Đ°ĐœĐžĐ” ĐŽĐČух ĐŸŃĐ»ĐŸĐ¶ĐœĐ”ĐœĐžĐč, у 12,0 % — ŃĐŸŃ‡Đ”Ń‚Đ°ĐœĐžĐ” трДх ĐŸŃĐ»ĐŸĐ¶ĐœĐ”ĐœĐžĐč Đž Đ±ĐŸĐ»Đ”Đ”. В струĐșŃ‚ŃƒŃ€Đ” ĐŸŃĐ»ĐŸĐ¶ĐœĐ”ĐœĐžĐč ĐżŃ€Đ”ĐŸĐ±Đ»Đ°ĐŽĐ°Đ»Đž парДз ĐșĐžŃˆĐ”Ń‡ĐœĐžĐșĐ° (25,57 %), ĐżĐœĐ”ĐČĐŒĐŸĐœĐžŃ (12,1 %), Ń€Đ°ĐœĐ”ĐČая ĐžĐœŃ„Đ”Đșцоя (12,1 %). КаĐș Đ»Đ”Ń‚Đ°Đ»ŃŒĐœĐŸŃŃ‚ŃŒ, таĐș Đž Ń‡Đ°ŃŃ‚ĐŸŃ‚Đ° ĐŸŃĐ»ĐŸĐ¶ĐœĐ”ĐœĐžĐč Ń€ĐŸŃĐ»Đž с уĐČĐ”Đ»ĐžŃ‡Đ”ĐœĐžĐ”ĐŒ ĐșĐŸĐ»ĐžŃ‡Đ”ŃŃ‚ĐČĐ° ŃĐŸĐżŃƒŃ‚ŃŃ‚ĐČующох Đ·Đ°Đ±ĐŸĐ»Đ”ĐČĐ°ĐœĐžĐč. ВЫВОДЫ: ĐĐ°ĐžĐ±ĐŸĐ»Đ”Đ” частыД ŃĐŸĐżŃƒŃ‚ŃŃ‚ĐČŃƒŃŽŃ‰ĐžĐ” Đ·Đ°Đ±ĐŸĐ»Đ”ĐČĐ°ĐœĐžŃ ĐČ Đ°Đ±ĐŽĐŸĐŒĐžĐœĐ°Đ»ŃŒĐœĐŸĐč хорургоо — ĐłĐžĐżĐ”Ń€Ń‚ĐŸĐœĐžŃ‡Đ”ŃĐșая Đ±ĐŸĐ»Đ”Đ·ĐœŃŒ, Ń…Ń€ĐŸĐœĐžŃ‡Đ”ŃĐșая ŃĐ”Ń€ĐŽĐ”Ń‡ĐœĐ°Ń ĐœĐ”ĐŽĐŸŃŃ‚Đ°Ń‚ĐŸŃ‡ĐœĐŸŃŃ‚ŃŒ, ĐžŃˆĐ”ĐŒĐžŃ‡Đ”ŃĐșая Đ±ĐŸĐ»Đ”Đ·ĐœŃŒ сДрЎца, ŃĐ°Ń…Đ°Ń€ĐœŃ‹Đč ЎОабДт Đž ĐœĐ°Ń€ŃƒŃˆĐ”ĐœĐžĐ” ŃĐ”Ń€ĐŽĐ”Ń‡ĐœĐŸĐłĐŸ Ń€ĐžŃ‚ĐŒĐ°. Đ§Đ°ŃŃ‚ĐŸŃ‚Đ° ĐżĐŸŃĐ»Đ”ĐŸĐżĐ”Ń€Đ°Ń†ĐžĐŸĐœĐœŃ‹Ń… ĐŸŃĐ»ĐŸĐ¶ĐœĐ”ĐœĐžĐč ŃĐŸŃŃ‚Đ°ĐČОла 3,5 %, Đ»Đ”Ń‚Đ°Đ»ŃŒĐœĐŸŃŃ‚ŃŒÂ â€” 0,43 %; про ŃŃ‚ĐŸĐŒ ĐœĐ°ĐžĐ±ĐŸĐ»Đ”Đ” Ń‡Đ°ŃŃ‚Ń‹ĐŒĐž ĐŸŃĐ»ĐŸĐ¶ĐœĐ”ĐœĐžŃĐŒĐž былО парДз ĐșĐžŃˆĐ”Ń‡ĐœĐžĐșĐ°, Ń€Đ°ĐœĐ”ĐČая ĐžĐœŃ„Đ”Đșцоя Đž ĐżĐœĐ”ĐČĐŒĐŸĐœĐžŃ

    Knowledge Base, Exporting Activities, Innovation Openness and Innovation Performance: A SEM Approach Towards a Unifying Framework

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    In this paper we demonstrate the complexity that regulates the innovation-exports nexus. In particular we argue that innovation and exports should be treated as latent variables in order to account for as many facets possible thus, accounting for multifaceted heterogeneity. In this context, the role of innovation openness ought to be highlighted within a unified framework, as it is considered an additional activity of firms' knowledge creation strategy. In this line, innovation and exporting orientation are ruled by the firms' strategic mix comprised of internal knowledge creation processes and the diversity of innovation openness. Theoretical and empirical links between these major components are identified and measured employing a Structural Equation Modelling (SEM) approach on a sample of Greek R&D-active manufacturing firms. Empirical findings corroborate the complexity of relationships and indicate that the firms' knowledge base and open innovation strategy regulate via complementary and substitution relationships firms' innovation and export performance

    ĐœĐŸĐŽĐ”Đ»ŃŒ ĐżŃ€ĐŸĐłĐœĐŸĐ·ĐžŃ€ĐŸĐČĐ°ĐœĐžŃ ĐżĐŸŃĐ»Đ”ĐŸĐżĐ”Ń€Đ°Ń†ĐžĐŸĐœĐœĐŸĐč ĐżĐœĐ”ĐČĐŒĐŸĐœĐžĐž ĐČ Đ°Đ±ĐŽĐŸĐŒĐžĐœĐ°Đ»ŃŒĐœĐŸĐč хорургоо: Ń€Đ”Đ·ŃƒĐ»ŃŒŃ‚Đ°Ń‚Ń‹ ĐœĐ°Đ±Đ»ŃŽĐŽĐ°Ń‚Đ”Đ»ŃŒĐœĐŸĐłĐŸ ĐŒĐœĐŸĐłĐŸŃ†Đ”ĐœŃ‚Ń€ĐŸĐČĐŸĐłĐŸ ĐžŃŃĐ»Đ”ĐŽĐŸĐČĐ°ĐœĐžŃ

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    АКбУАЛЬНОСбЬ: Đ’Đ”ĐŽŃƒŃ‰Đ”Đ” ĐŒĐ”ŃŃ‚ĐŸ ĐČ струĐșŃ‚ŃƒŃ€Đ” ĐżĐŸŃĐ»Đ”ĐŸĐżĐ”Ń€Đ°Ń†ĐžĐŸĐœĐœŃ‹Ń… ĐŸŃĐ»ĐŸĐ¶ĐœĐ”ĐœĐžĐč Đ·Đ°ĐœĐžĐŒĐ°Đ”Ń‚ ĐżĐŸŃĐ»Đ”ĐŸĐżĐ”Ń€Đ°Ń†ĐžĐŸĐœĐœĐ°Ń ĐżĐœĐ”ĐČĐŒĐŸĐœĐžŃ. УчотыĐČая Ń€Đ°ŃĐżŃ€ĐŸŃŃ‚Ń€Đ°ĐœĐ”ĐœĐœĐŸŃŃ‚ŃŒ ĐżĐŸŃĐ»Đ”ĐŸĐżĐ”Ń€Đ°Ń†ĐžĐŸĐœĐœĐŸĐč ĐżĐœĐ”ĐČĐŒĐŸĐœĐžĐž ĐžÂ Ń€ĐŸŃŃ‚ чОсла Ń…ĐžŃ€ŃƒŃ€ĐłĐžŃ‡Đ”ŃĐșох ĐżŃ€ĐŸŃ†Đ”ĐŽŃƒŃ€, ĐżŃ€ĐŸĐłĐœĐŸĐ·ĐžŃ€ĐŸĐČĐ°ĐœĐžĐ” ДД разĐČотоя яĐČĐ»ŃĐ”Ń‚ŃŃ Đ°ĐșŃ‚ŃƒĐ°Đ»ŃŒĐœĐŸĐč заЎачДĐč, ĐżĐŸĐ·ĐČĐŸĐ»ŃŃŽŃ‰Đ”Đč ĐżŃ€ĐžĐœŃŃ‚ŃŒ ĐŒĐ”Ń€Ń‹ ĐżĐŸ ŃĐœĐžĐ¶Đ”ĐœĐžŃŽ Ń‡Đ°ŃŃ‚ĐŸŃ‚Ń‹ ДД ĐČĐŸĐ·ĐœĐžĐșĐœĐŸĐČĐ”ĐœĐžŃ, ĐżŃƒŃ‚Đ”ĐŒ ĐŸĐżŃ‚ĐžĐŒĐžĐ·Đ°Ń†ĐžĐž ĐżĐ”Ń€ĐžĐŸĐżĐ”Ń€Đ°Ń†ĐžĐŸĐœĐœĐŸĐłĐŸ ĐżĐ”Ń€ĐžĐŸĐŽĐ°. ĐĐ”ŃĐŒĐŸŃ‚Ń€Ń ĐœĐ° сĐČĐŸŃŽ Ń†Đ”ĐœĐœĐŸŃŃ‚ŃŒ, ŃŃƒŃ‰Đ”ŃŃ‚ĐČŃƒŃŽŃ‰ĐžĐ” шĐșалы ĐżŃ€ĐŸĐłĐœĐŸĐ·ĐžŃ€ĐŸĐČĐ°ĐœĐžŃ ĐżĐŸŃĐ»Đ”ĐŸĐżĐ”Ń€Đ°Ń†ĐžĐŸĐœĐœĐŸĐč ĐżĐœĐ”ĐČĐŒĐŸĐœĐžĐž ĐœĐ” ĐŸĐ±Đ”ŃĐżĐ”Ń‡ĐžĐČают ĐŸŃ‚Đ”Ń‡Đ”ŃŃ‚ĐČĐ”ĐœĐœŃ‹Ń… ŃĐżĐ”Ń†ĐžĐ°Đ»ĐžŃŃ‚ĐŸĐČ ĐœĐ°ĐŽĐ”Đ¶ĐœŃ‹ĐŒ ĐžÂ ĐżĐŸŃŃ‚ĐŸŃĐœĐœŃ‹ĐŒ ĐŒĐ”Ń‚ĐŸĐŽĐŸĐŒ, ŃÂ ĐżĐŸĐŒĐŸŃ‰ŃŒŃŽ ĐșĐŸŃ‚ĐŸŃ€ĐŸĐłĐŸ ĐŒĐŸĐ¶ĐœĐŸ ŃŃ‚Ń€Đ°Ń‚ĐžŃ„ĐžŃ†ĐžŃ€ĐŸĐČать росĐș разĐČотоя ĐżĐŸŃĐ»Đ”ĐŸĐżĐ”Ń€Đ°Ń†ĐžĐŸĐœĐœĐŸĐč ĐżĐœĐ”ĐČĐŒĐŸĐœĐžĐž ĐČÂ ĐœĐ°ŃˆĐ”Đč ĐżĐŸĐżŃƒĐ»ŃŃ†ĐžĐž. ЩЕЛЬ ИССЛЕДОВАНИЯ: Ń€Đ°Đ·Ń€Đ°Đ±ĐŸŃ‚ĐșĐ° ĐŒĐŸĐŽĐ”Đ»Đž ĐżŃ€ĐŸĐłĐœĐŸĐ·ĐžŃ€ĐŸĐČĐ°ĐœĐžŃ ĐżĐŸŃĐ»Đ”ĐŸĐżĐ”Ń€Đ°Ń†ĐžĐŸĐœĐœĐŸĐč ĐżĐœĐ”ĐČĐŒĐŸĐœĐžĐž ĐœĐ° ĐŸŃĐœĐŸĐČĐ” ĐČыяĐČĐ»Đ”ĐœĐžŃ фаĐșŃ‚ĐŸŃ€ĐŸĐČ Ń€ĐžŃĐșĐ° ДД разĐČотоя. ĐœĐĐąĐ•Đ Đ˜ĐĐ›Đ« И ĐœĐ•ĐąĐžĐ”Đ«: ĐœĐœĐŸĐłĐŸŃ†Đ”ĐœŃ‚Ń€ĐŸĐČĐŸĐ” ĐżŃ€ĐŸŃĐżĐ”ĐșтоĐČĐœĐŸĐ” ĐžŃŃĐ»Đ”ĐŽĐŸĐČĐ°ĐœĐžĐ”, 6844Â ĐżĐ°Ń†ĐžĐ”ĐœŃ‚Đ° ŃŃ‚Đ°Ń€ŃˆĐ” 18 лДт, ĐżĐŸĐŽĐČĐ”Ń€ĐłĐ°ŃŽŃ‰ĐžĐ”ŃŃ ĐżĐ»Đ°ĐœĐŸĐČŃ‹ĐŒ ĐŸĐżĐ”Ń€Đ°Ń‚ĐžĐČĐœŃ‹ĐŒ ĐČĐŒĐ”ŃˆĐ°Ń‚Đ”Đ»ŃŒŃŃ‚ĐČĐ°ĐŒ ĐœĐ° ĐŸŃ€ĐłĐ°ĐœĐ°Ń… Đ±Ń€ŃŽŃˆĐœĐŸĐč ĐżĐŸĐ»ĐŸŃŃ‚Đž. ĐžŃ†Đ”ĐœĐžĐČалО 30-ĐŽĐœĐ”ĐČĐœŃƒŃŽ Đ»Đ”Ń‚Đ°Đ»ŃŒĐœĐŸŃŃ‚ŃŒ ĐžÂ ĐżĐŸŃĐ»Đ”ĐŸĐżĐ”Ń€Đ°Ń†ĐžĐŸĐœĐœŃƒŃŽ ĐżĐœĐ”ĐČĐŒĐŸĐœĐžŃŽ. На пДрĐČĐŸĐŒ ŃŃ‚Đ°ĐżĐ” ĐžŃŃĐ»Đ”ĐŽĐŸĐČĐ°ĐœĐžŃ ĐżŃ€ĐŸĐČĐŸĐŽĐžĐ»ĐŸŃŃŒ сраĐČĐœĐ”ĐœĐžĐ” ĐŒĐ”Đ¶ĐŽŃƒ ĐłŃ€ŃƒĐżĐżĐŸĐč ŃÂ ĐżĐœĐ”ĐČĐŒĐŸĐœĐžĐ”Đč ĐžÂ ĐłŃ€ŃƒĐżĐżĐŸĐč бДз ĐżĐœĐ”ĐČĐŒĐŸĐœĐžĐž ĐžŃŃ…ĐŸĐŽĐœŃ‹Ń… ĐŽĐ°ĐœĐœŃ‹Ń… ĐżĐ°Ń†ĐžĐ”ĐœŃ‚ĐŸĐČ, а таĐșжД фаĐșŃ‚ĐŸŃ€ĐŸĐČ, сĐČŃĐ·Đ°ĐœĐœŃ‹Ń… ŃÂ ĐŸĐżĐ”Ń€Đ°Ń†ĐžĐ”Đč ĐžÂ Đ°ĐœĐ”ŃŃ‚Đ”Đ·ĐžĐ”Đč. На ĐČŃ‚ĐŸŃ€ĐŸĐŒ ŃŃ‚Đ°ĐżĐ” ĐžŃŃĐ»Đ”ĐŽĐŸĐČĐ°ĐœĐžŃ ĐżŃ€ĐŸĐČĐŸĐŽĐžĐ»ŃŃ Đ»ĐŸĐłĐžŃŃ‚ĐžŃ‡Đ”ŃĐșĐžĐč Ń€Đ”ĐłŃ€Đ”ŃŃĐžĐŸĐœĐœŃ‹Đč Đ°ĐœĐ°Đ»ĐžĐ· ĐŽĐ»Ń ĐŸŃ†Đ”ĐœĐșĐž ĐČĐșлаЎа фаĐșŃ‚ĐŸŃ€ĐŸĐČ ĐČ разĐČОтОД ĐżĐŸŃĐ»Đ”ĐŸĐżĐ”Ń€Đ°Ń†ĐžĐŸĐœĐœĐŸĐč ĐżĐœĐ”ĐČĐŒĐŸĐœĐžĐž. На Ń‚Ń€Đ”Ń‚ŃŒĐ”ĐŒ ŃŃ‚Đ°ĐżĐ” ĐžŃŃĐ»Đ”ĐŽĐŸĐČĐ°ĐœĐžŃ ĐČŃ‹ĐżĐŸĐ»ĐœŃĐ»ĐŸŃŃŒ ĐżĐŸŃŃ‚Ń€ĐŸĐ”ĐœĐžĐ” ĐŒĐŸĐŽĐ”Đ»Đž ĐżŃ€ĐŸĐłĐœĐŸĐ·ĐžŃ€ĐŸĐČĐ°ĐœĐžŃ ĐżĐŸŃĐ»Đ”ĐŸĐżĐ”Ń€Đ°Ń†ĐžĐŸĐœĐœĐŸĐč ĐżĐœĐ”ĐČĐŒĐŸĐœĐžĐž ĐżĐŸ ĐŽĐ°ĐœĐœŃ‹ĐŒ ĐŒĐœĐŸĐłĐŸĐŒĐ”Ń€ĐœĐŸĐłĐŸ Đ»ĐŸĐłĐžŃŃ‚ĐžŃ‡Đ”ŃĐșĐŸĐłĐŸ Ń€Đ”ĐłŃ€Đ”ŃŃĐžĐŸĐœĐœĐŸĐłĐŸ Đ°ĐœĐ°Đ»ĐžĐ·Đ°. На Đ·Đ°ĐșĐ»ŃŽŃ‡ĐžŃ‚Đ”Đ»ŃŒĐœĐŸĐŒ ŃŃ‚Đ°ĐżĐ” ĐżŃ€ĐŸĐžĐ·ĐČĐŸĐŽĐžĐ»ĐŸŃŃŒ сраĐČĐœĐ”ĐœĐžĐ” ĐżĐŸĐ»ŃƒŃ‡Đ”ĐœĐœĐŸĐč ĐŒĐŸĐŽĐ”Đ»Đž ŃÂ ĐŒĐŸĐŽĐ”Đ»ŃĐŒĐž ĐżŃ€ĐŸĐłĐœĐŸĐ·ĐžŃ€ĐŸĐČĐ°ĐœĐžŃ Юругох Đ°ĐČŃ‚ĐŸŃ€ĐŸĐČ, ĐČŃŃ‚Ń€Đ”Ń‡Đ°ŃŽŃ‰ĐžŃ…ŃŃ ĐČÂ ĐŒĐžŃ€ĐŸĐČĐŸĐč Đ»ĐžŃ‚Đ”Ń€Đ°Ń‚ŃƒŃ€Đ”. РЕЗУЛЏйАйЫ: ĐŸĐœĐ”ĐČĐŒĐŸĐœĐžŃ ĐČыяĐČĐ»Đ”ĐœĐ° у 53Â ĐżĐ°Ń†ĐžĐ”ĐœŃ‚ĐŸĐČ (0,77 %). Đ›Đ”Ń‚Đ°Đ»ŃŒĐœŃ‹Đč ĐžŃŃ…ĐŸĐŽ ĐœĐ°Đ±Đ»ŃŽĐŽĐ°Đ»ŃŃ у 39Â ĐżĐ°Ń†ĐžĐ”ĐœŃ‚ĐŸĐČ: ŃƒÂ ĐżĐ°Ń†ĐžĐ”ĐœŃ‚ĐŸĐČ ŃÂ ĐżĐœĐ”ĐČĐŒĐŸĐœĐžĐ”Đč ĐČ 15Â ŃĐ»ŃƒŃ‡Đ°ŃŃ… (28,3 %), а бДз ĐżĐœĐ”ĐČĐŒĐŸĐœĐžĐžÂ â€” ĐČ 24Â ŃĐ»ŃƒŃ‡Đ°ŃŃ… (0,4 %). Đ Đ”Ń‚Ń€ĐŸŃĐżĐ”ĐșтоĐČĐœĐŸ ŃÂ ŃƒŃ‡Đ”Ń‚ĐŸĐŒ ĐżĐŸĐ»ŃƒŃ‡Đ”ĐœĐœĐŸĐč ĐŒĐŸĐŽĐ”Đ»Đž Đș ĐłŃ€ŃƒĐżĐżĐ” ĐČŃ‹ŃĐŸĐșĐŸĐłĐŸ росĐșĐ° разĐČотоя ĐżĐœĐ”ĐČĐŒĐŸĐœĐžĐž былО ĐŸŃ‚ĐœĐ”ŃĐ”ĐœŃ‹ 933Â ĐżĐ°Ń†ĐžĐ”ĐœŃ‚Đ°, Ń‡Đ°ŃŃ‚ĐŸŃ‚Đ° разĐČотоя ĐżĐœĐ”ĐČĐŒĐŸĐœĐžĐž ŃĐŸŃŃ‚Đ°ĐČĐ»ŃĐ»Đ° 4,5 %. Đ’Â ĐłŃ€ŃƒĐżĐżĐ” ĐœĐžĐ·ĐșĐŸĐłĐŸ росĐșĐ° разĐČотоя ĐżĐœĐ”ĐČĐŒĐŸĐœĐžĐžÂ â€” 5911Â ĐżĐ°Ń†ĐžĐ”ĐœŃ‚ĐŸĐČ, Ń‡Đ°ŃŃ‚ĐŸŃ‚Đ° разĐČотоя ĐżĐœĐ”ĐČĐŒĐŸĐœĐžĐž ŃĐŸŃŃ‚Đ°ĐČĐ»ŃĐ»Đ° 0,19 %. ВЫВОДЫ: ВыяĐČĐ»Đ”ĐœŃ‹ ĐČĐŸŃĐ”ĐŒŃŒ ĐœĐ”Đ·Đ°ĐČĐžŃĐžĐŒŃ‹Ń… ĐżĐ”Ń€Đ”ĐŒĐ”ĐœĐœŃ‹Ń…, сĐČŃĐ·Đ°ĐœĐœŃ‹Ń… ŃÂ ĐżĐŸŃĐ»Đ”ĐŸĐżĐ”Ń€Đ°Ń†ĐžĐŸĐœĐœĐŸĐč ĐżĐœĐ”ĐČĐŒĐŸĐœĐžĐ”Đč: ĐŽĐ»ĐžŃ‚Đ”Đ»ŃŒĐœĐŸŃŃ‚ŃŒ ĐŸĐżĐ”Ń€Đ°Ń†ĐžĐž, ĐșŃƒŃ€Đ”ĐœĐžĐ”, ĐżĐŸĐ»ĐœĐ°Ń Ń„ŃƒĐœĐșŃ†ĐžĐŸĐœĐ°Đ»ŃŒĐœĐ°Ń Đ·Đ°ĐČĐžŃĐžĐŒĐŸŃŃ‚ŃŒ, ĐżĐ”Ń€ĐžĐŸĐżĐ”Ń€Đ°Ń†ĐžĐŸĐœĐœĐ°Ń Đ°ĐœĐ”ĐŒĐžŃ, Ń‚Ń€Đ”Đ±ŃƒŃŽŃ‰Đ°Ń ĐżŃ€ĐžĐŒĐ”ĐœĐ”ĐœĐžŃ ĐżŃ€Đ”ĐżĐ°Ń€Đ°Ń‚ĐŸĐČ Đ¶Đ”Đ»Đ”Đ·Đ°, ĐžĐœŃ‚Ń€Đ°ĐŸĐżĐ”Ń€Đ°Ń†ĐžĐŸĐœĐœĐŸĐ” ĐżŃ€ĐžĐŒĐ”ĐœĐ”ĐœĐžĐ” ĐČĐ°Đ·ĐŸĐżŃ€Đ”ŃŃĐŸŃ€ĐŸĐČ, IIIÂ Ń„ŃƒĐœĐșŃ†ĐžĐŸĐœĐ°Đ»ŃŒĐœŃ‹Đč Đșласс ĐżĐŸ ĐșлассОфОĐșацоо ĐĐŒĐ”Ń€ĐžĐșĐ°ĐœŃĐșĐŸĐłĐŸ ĐŸĐ±Ń‰Đ”ŃŃ‚ĐČĐ° Đ°ĐœĐ”ŃŃ‚Đ”Đ·ĐžĐŸĐ»ĐŸĐłĐŸĐČ, ĐżŃ€ĐžĐŒĐ”ĐœĐ”ĐœĐžĐ” Đ±Ń€ĐŸĐœŃ…ĐŸĐŽĐžĐ»Đ°Ń‚ĐžŃ€ŃƒŃŽŃ‰ĐžŃ… ĐżŃ€Đ”ĐżĐ°Ń€Đ°Ń‚ĐŸĐČ ĐżĐŸ ĐżĐŸĐČĐŸĐŽŃƒ Ń…Ń€ĐŸĐœĐžŃ‡Đ”ŃĐșĐŸĐč ĐŸĐ±ŃŃ‚Ń€ŃƒĐșтоĐČĐœĐŸĐč Đ±ĐŸĐ»Đ”Đ·ĐœĐž лДгĐșох, ĐČŃ‹ŃĐŸĐșĐžĐč ĐŸĐżĐ”Ń€Đ°Ń†ĐžĐŸĐœĐœŃ‹Đč росĐș. ĐœĐŸĐŽĐ”Đ»ŃŒ ĐżŃ€ĐŸĐłĐœĐŸĐ·ĐžŃ€ĐŸĐČĐ°ĐœĐžŃ ĐżĐŸŃĐ»Đ”ĐŸĐżĐ”Ń€Đ°Ń†ĐžĐŸĐœĐœĐŸĐč ĐżĐœĐ”ĐČĐŒĐŸĐœĐžĐž ĐžĐŒĐ”Đ”Ń‚ ĐŸŃ‚Đ»ĐžŃ‡ĐœŃƒŃŽ ĐżŃ€ĐŸĐłĐœĐŸŃŃ‚ĐžŃ‡Đ”ŃĐșую Đ·ĐœĐ°Ń‡ĐžĐŒĐŸŃŃ‚ŃŒ (AUROC = 0,904)

    Systematic review and meta-analysis of the value of initial biomarkers in predicting adverse outcome in febrile neutropenic episodes in children and young people with cancer

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    Background: Febrile neutropenia is a frequently occurring and occasionally life-threatening complication of treatment for childhood cancer. Many biomarkers have been proposed as predictors of adverse events. We aimed to undertake a systematic review and meta-analysis to summarize evidence on the discriminatory ability of initial serum biomarkers of febrile neutropenic episodes in children and young people. Methods: This review was conducted in accordance with the Center for Reviews and Dissemination Methods, using three random effects models to undertake meta-analysis. It was registered with the HTA Registry of systematic reviews, CRD32009100485. Results: We found that 25 studies exploring 14 different biomarkers were assessed in 3,585 episodes of febrile neutropenia. C-reactive protein (CRP), pro-calcitonin (PCT), and interleukin-6 (IL6) were subject to quantitative meta-analysis, and revealed huge inconsistencies and heterogeneity in the studies included in this review. Only CRP has been evaluated in assessing its value over the predictive value of simple clinical decision rules. Conclusions: The limited data available describing the predictive value of biomarkers in the setting of pediatric febrile neutropenia mean firm conclusions cannot yet be reached, although the use of IL6, IL8 and procalcitonin warrant further study

    Potential therapeutic applications of microbial surface-activecompounds

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    Numerous investigations of microbial surface-active compounds or biosurfactants over the past two decades have led to the discovery of many interesting physicochemical and biological properties including antimicrobial, anti-biofilm and therapeutic among many other pharmaceutical and medical applications. Microbial control and inhibition strategies involving the use of antibiotics are becoming continually challenged due to the emergence of resistant strains mostly embedded within biofilm formations that are difficult to eradicate. Different aspects of antimicrobial and anti-biofilm control are becoming issues of increasing importance in clinical, hygiene, therapeutic and other applications. Biosurfactants research has resulted in increasing interest into their ability to inhibit microbial activity and disperse microbial biofilms in addition to being mostly nontoxic and stable at extremes conditions. Some biosurfactants are now in use in clinical, food and environmental fields, whilst others remain under investigation and development. The dispersal properties of biosurfactants have been shown to rival that of conventional inhibitory agents against bacterial, fungal and yeast biofilms as well as viral membrane structures. This presents them as potential candidates for future uses in new generations of antimicrobial agents or as adjuvants to other antibiotics and use as preservatives for microbial suppression and eradication strategies

    Effect of sitagliptin on cardiovascular outcomes in type 2 diabetes

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    BACKGROUND: Data are lacking on the long-term effect on cardiovascular events of adding sitagliptin, a dipeptidyl peptidase 4 inhibitor, to usual care in patients with type 2 diabetes and cardiovascular disease. METHODS: In this randomized, double-blind study, we assigned 14,671 patients to add either sitagliptin or placebo to their existing therapy. Open-label use of antihyperglycemic therapy was encouraged as required, aimed at reaching individually appropriate glycemic targets in all patients. To determine whether sitagliptin was noninferior to placebo, we used a relative risk of 1.3 as the marginal upper boundary. The primary cardiovascular outcome was a composite of cardiovascular death, nonfatal myocardial infarction, nonfatal stroke, or hospitalization for unstable angina. RESULTS: During a median follow-up of 3.0 years, there was a small difference in glycated hemoglobin levels (least-squares mean difference for sitagliptin vs. placebo, -0.29 percentage points; 95% confidence interval [CI], -0.32 to -0.27). Overall, the primary outcome occurred in 839 patients in the sitagliptin group (11.4%; 4.06 per 100 person-years) and 851 patients in the placebo group (11.6%; 4.17 per 100 person-years). Sitagliptin was noninferior to placebo for the primary composite cardiovascular outcome (hazard ratio, 0.98; 95% CI, 0.88 to 1.09; P<0.001). Rates of hospitalization for heart failure did not differ between the two groups (hazard ratio, 1.00; 95% CI, 0.83 to 1.20; P = 0.98). There were no significant between-group differences in rates of acute pancreatitis (P = 0.07) or pancreatic cancer (P = 0.32). CONCLUSIONS: Among patients with type 2 diabetes and established cardiovascular disease, adding sitagliptin to usual care did not appear to increase the risk of major adverse cardiovascular events, hospitalization for heart failure, or other adverse events
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