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Author: search.filters.author.Patricia GarcíaSubject: search.filters.subject.escherichia coli

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    Performance of the VITEK® MS system for the identification of filamentous fungi in a microbiological laboratory in Chile
    (Public Library of Science (PLoS), 2024-12-23)
    PORTE TORRE, LORENA ISABEL  
    ;
    Rodrigo Cruz
    ;
    Pérez Villa, Inia
    ;
    Carmen Varela
    ;
    Cristina Díaz
    <jats:p>Filamentous fungi are an emergent cause of severe infections in immunocompromised patients. Timely and accurate identification is crucial to initiate appropriate therapy. Traditional identification methods are time-consuming, labor-intensive, and operator-dependent. Matrix-assisted laser desorption/ionization-time-of-flight (MALDI-TOF) mass spectrometry is a rapid and easy-to-perform identification method. The effectiveness of a commercial MALDI-TOF MS platform to identify filamentous fungi in a clinical laboratory was evaluated. The study included 67 fungal isolates from 35 species/species complexes, which were identified and confirmed in mycology reference laboratories; 32 derived from clinical samples, 34 from strain collections and one was an ATCC strain. The study used the VITEK<jats:sup>®</jats:sup> MS system (v3.2.0 database), after sample extraction by VITEK<jats:sup>®</jats:sup> MS Mould Kit. Results were classified as “correct species”, “correct species complex”, “correct genus”and “no identification”. VITEK<jats:sup>®</jats:sup> MS correctly identified 91.0% of isolates (58.2% to species, 29.9% to species complex, and 1.5% to genus level only). In 82%, the result matched the species/species complex identified by reference methods. No misidentifications were observed. The kit was rapid and easy to use. In conclusion, the VITEK<jats:sup>®</jats:sup> MS system showed a high capability to accurately identify filamentous fungi in a clinical laboratory.</jats:p>
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    Scopus© Citations 4  2
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    Isolation of Ciprofloxacin and Ceftazidime-Resistant Enterobacterales From Vegetables and River Water Is Strongly Associated With the Season and the Sample Type
    (2021)
    Constanza Díaz-Gavidia
    ;
    Carla Barría
    ;
    RIVAS JIMENEZ, LINA MARIA  
    ;
    Patricia García
    ;
    Francisca P. Alvarez
    <jats:p>The dissemination of antibiotic-resistant bacteria (ARB) from water used for crop irrigation to vegetables is poorly studied. During a year, five farmer markets in a city in Central Chile were visited, and 478 vegetable samples (parsleys, corianders, celeries, lettuces, chards, and beets) were collected. Simultaneously, 32 water samples were collected from two rivers which are used to irrigate the vegetables produced in the area. Resistant Enterobacterales were isolated and identified. Colistin resistance gene <jats:italic>mcr-1</jats:italic> and extended spectrum β-lactamases (ESBL) were molecularly detected. The association of environmental factors was evaluated, with the outcomes being the presence of Enterobacterales resistant to four antibiotic families and the presence of multidrug resistance (MDR) phenotypes. Parsley, coriander, and celery showed the highest prevalence of resistant Enterobacterales (41.9% for ciprofloxacin and 18.5% for ceftazidime). A total of 155 isolates were obtained, including <jats:italic>Escherichia coli</jats:italic> (<jats:italic>n</jats:italic>=109), <jats:italic>Citrobacter</jats:italic> sp. (<jats:italic>n</jats:italic>=20), <jats:italic>Enterobacter cloacae</jats:italic> complex (<jats:italic>n</jats:italic>=8), <jats:italic>Klebsiella pneumoniae</jats:italic> (<jats:italic>n</jats:italic>=8), and <jats:italic>Klebsiella aerogenes</jats:italic> (<jats:italic>n</jats:italic>=1). Resistance to ampicillin (63.2%) and ciprofloxacin (74.2%) was most frequently found; 34.5% of the isolates showed resistance to third-generation cephalosporins, and the MDR phenotype represented 51.6% of the isolates. In two <jats:italic>E. coli</jats:italic> isolates (1.29%), the gene <jats:italic>mcr-1</jats:italic> was found and ESBL genes were found in 23/62 isolates (37%), with <jats:italic>bla</jats:italic><jats:sub>CTX-M</jats:sub> being the most frequently found in 20 isolates (32%). Resistant Enterobacterales isolated during the rainy season were less likely to be MDR as compared to the dry season. Understanding environmental associations represent the first step toward an improved understanding of the public health impact of ARB in vegetables and water.</jats:p>
      1Scopus© Citations 28
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    Scopus© Citations 21  2
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    Socioeconomic factors associated with antimicrobial resistance of Pseudomonas aeruginosa, Staphylococcus aureus, and Escherichia coli in Chilean hospitals (2008–2017)
    (2020)
    Kasim Allel
    ;
    Patricia García
    ;
    Jaime Labarca
    ;
    MUNITA SEPULVEDA, JOSE MANUEL  
    ;
    Magdalena Rendic
    To identify socioeconomic factors associated with antimicrobial resistance of Pseudomonas aeruginosa, Staphylococcus aureus, and Escherichia coli in Chilean hospitals (2008–2017).</p> <p><bold>Methods.</bold> We reviewed the scientific literature on socioeconomic factors associated with the emergence and dissemination of antimicrobial resistance. Using multivariate regression, we tested findings from the literature drawing from a longitudinal dataset on antimicrobial resistance from 41 major private and public hospitals and a nationally representative household survey in Chile (2008–2017). We estimated resistance rates for three priority antibiotic–bacterium pairs, as defined by the Organisation for Economic Co-operation and Development; i.e., imipenem and meropenem resistant P. aeruginosa, cloxacillin resistant S. aureus, and cefotaxime and ciprofloxacin resistant E. coli.</p> <p><bold>Results.</bold> Evidence from the literature review suggests poverty and material deprivation are important risk factors for the emergence and transmission of antimicrobial resistance. Most studies found that worse socioeconomic indicators were associated with higher rates of antimicrobial resistance. Our analysis showed an overall antimicrobial resistance rate of 32.5%, with the highest rates for S. aureus (40.6%) and the lowest for E. coli (25.7%). We found a small but consistent negative association between socioeconomic factors (income, education, and occupation) and overall antimicrobial resistance in univariate (p &lt; 0.01) and multivariate analyses (p &lt; 0.01), driven by resistant P. aeruginosa and S. aureus.</p> <p><bold>Conclusion.</bold> Socioeconomic factors beyond health care and hospital settings may affect the emergence and dissemination of antimicrobial resistance. Preventing and controlling antimicrobial resistance requires efforts above and beyond reducing antibiotic consumption.
      3Scopus© Citations 29