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    دورية أكاديمية
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    دورية أكاديمية
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    دورية

    المؤلفون: Bing, Stanley

    المصدر: Fortune. 12/6/1999, Vol. 140 Issue 11, p221-226. 6p.

    مصطلحات موضوعية: BOOKS

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    المساهمون: Calado, Cecília Ribeiro da Cruz, Silvestre, Joana, Ricardo, António, RCIPL

    مصطلحات موضوعية: Biomarcadores, Infeção, Bacteremia, COVID-19, FTIR, Espetroscopia, Background and Goals: Critical COVID-19 patients are regularly admitted with diverse complications leading to Intensive care unit (ICU) admission. Besides these patients are constantly exposed to the threat of infection during their hospital stay. These infections may lead to the worsening of the patient’s health and considering the already debilitated state of the critical COVID-19 patient, may be fatal if the infection agent isn’t correctly identified and treated within the most appropriate timing upon diagnosis. In this thesis, the focus of the study was divided into two main sections: to determine a method capable of faster identification of bacteremia in the critical COVID-19 patient; and to identify Gram bacteria causing the bacteremia. Methodology: Utilizing the FTIR spectroscopy method, and spectra principal component analysis (PCA), hierarchical cluster analyses (HCA) and linear discrimination analyses (PCA-LDA) applied to serum samples of bacteremia patients (n=48), non-bacteremia patients (n=54), and samples with Gram-positive (n=28) from Gram-negative (n=20) bacteria. Diverse spectra pre-processing methods were evaluated. Results and discussion: Spectra PCA and HCA, did not shown samples patterns enabling to separate between bacteremia and non-bacteremia samples, nor between Gram-positives and Gram-negative bacteria. The high variability associated with these patients may justify the obtained result. Spectra PCA-LDA enabled discrimination accuracy results of 75% between bacteremia and non-bacteremia samples, and of 85% for discrimination between Gram-positive and Gram-negative bacterial samples. Final remarks: The results point to the potential of FTIR spectroscopy as a very appealing method to conduct the diagnosis of bacteremia and the classification of the type of bacteria, in a simple and rapid mode, enabling a more efficient management of this type of critical patients, Biomarkers, Infection, COVIID-19, Spectroscopy

    وصف الملف: application/pdf

    العلاقة: ALEXANDRE, Tiago Francisco Rosa Domingues - Discovery of infection biomarkers based on metabolomics. Lisboa: Instituto Superior de Engenharia de Lisboa, 2022. Dissertação de Mestrado.

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    دورية أكاديمية
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    دورية أكاديمية
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    دورية أكاديمية
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    دورية أكاديمية

    المؤلفون: Henriques Feitosa, Tábata

    المصدر: RECIMA21 - Revista Científica Multidisciplinar - ISSN 2675-6218; Vol. 4 No. 9 (2023): CLICK HERE TO ACCESS THE ARTICLES; e493902 ; RECIMA21 - Revista Científica Multidisciplinar - ISSN 2675-6218; Vol. 4 Núm. 9 (2023): HAGA CLIC AQUÍ PARA ACCEDER A LOS ARTÍCULOS; e493902 ; RECIMA21 - Revista Científica Multidisciplinar - ISSN 2675-6218; v. 4 n. 9 (2023): CLIQUE AQUI PARA ACESSAR OS ARTIGOS; e493902 ; RECIMA21 - Revista Científica Multidisciplinar - ISSN 2675-6218; Vol. 4 N.º 9 (2023): CLIQUE AQUI PARA ACESSAR OS ARTIGOS; e493902 ; 2675-6218

    وصف الملف: application/pdf

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    دورية أكاديمية