<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>0864-0289</journal-id>
<journal-title><![CDATA[Revista Cubana de Hematología, Inmunología y Hemoterapia]]></journal-title>
<abbrev-journal-title><![CDATA[Rev Cubana Hematol Inmunol Hemoter]]></abbrev-journal-title>
<issn>0864-0289</issn>
<publisher>
<publisher-name><![CDATA[Centro Nacional de Información de Ciencias MédicasEditorial Ciencias Médicas]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0864-02892022000100013</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Mapa Microbiológico - 2020 del Instituto de Hematología e Inmunología de Cuba]]></article-title>
<article-title xml:lang="en"><![CDATA[Microbiological Map - 2020 from Institute of Hematology and Immunology, Cuba]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rodríguez Pérez]]></surname>
<given-names><![CDATA[Maylin]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[González Perdomo]]></surname>
<given-names><![CDATA[Jorge]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rodríguez Martínez]]></surname>
<given-names><![CDATA[Marilyn R.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Cuevas Dorcé]]></surname>
<given-names><![CDATA[Rita Silvina]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Instituto de Hematología e Inmunología  ]]></institution>
<addr-line><![CDATA[ La Habana]]></addr-line>
<country>Cuba</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Instituto de Cardiología y Cirugía Cardiovascular  ]]></institution>
<addr-line><![CDATA[ La Habana]]></addr-line>
<country>Cuba</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>03</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>03</month>
<year>2022</year>
</pub-date>
<volume>38</volume>
<numero>1</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S0864-02892022000100013&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S0864-02892022000100013&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S0864-02892022000100013&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN  Introducción:  Los mapas microbiológicos se consideran un marcador epidemiológico pues resumen estadísticamente las bacterias circulantes y su comportamiento frente a los antibióticos en uso. Permiten establecer una política de antibióticos que garantiza el uso más racional de los antimicrobianos y disminuye el riesgo de resistencia bacteriana.  Objetivos:  Identificar las bacterias aisladas con mayor frecuencia a partir de cultivos microbiológicos de pacientes hospitalizados en el Instituto de Hematología e Inmunología durante el año 2020 y determinar la resistencia de las bacterias más frecuentes a los antimicrobianos ensayados, con vista a establecer el primer mapa microbiológico de la institución.  Métodos:  Se realizó un estudio de corte transversal que incluyó los cultivos de pacientes hospitalizados durante el año 2020. La identificación bacteriana se realizó según métodos convencionales y para determinar los perfiles de resistencia se empleó el método de Bauer-Kirby.  Resultados:  El hemocultivo fue el estudio microbiológico más indicado con una positividad de 32,80 %. Predominaron las bacterias Gram negativas (81,71 %), siendo las más identificadas Pseudomonas spp., Enterobacter spp., Klebsiella spp. y Escherichia coli. Entre las bacterias Gram positivas predominó Staphylococcus spp. coagulasa negativa. Se obtuvieron elevados porcentajes de resistencia frente a casi todos los antimicrobianos evaluados.  Conclusiones: La realización del mapa microbiológico de la institución permite actualizar la política de uso de los antimicrobianos al identificar a los bacilos Gram negativos, con elevados porcentajes de resistencia, como los principales agentes etiológicos de las infecciones registradas en este centro de salud durante el año 2020.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT  Introduction: Microbiological maps are considered an epidemiological marker as statistically summarize circulating bacteria and their behavior against antibiotics in use. They allow establishing an antibiotic policy that guarantees the most rational use of antimicrobials and decreases the risk of bacterial resistance.  Objectives: Identify the isolated bacteria with more frequency from microbiological crops of hospitalized patients in the Institute of Hematology and Immunology during the year 2020 and determine the resistance of the most frequent bacteria to the antimicrobials tested, with a view to establishing the first microbiological map of the institution.  Methods:  An observational, descriptive, cross-sectional study was performed that included cultures of patients hospitalized during the year 2020. Bacterial identification was carried out according to conventional methods and to determine the resistance profiles was used by the Bauer-Kirby method.  Results: The blood culture was the most indicated microbiological study with 32.80% positivity. The Gram negative bacteria predominated (81.71%), being the most identified Pseudomona spp., Enterobacter spp., Klebsiella spp. and Escherichia coli. Among the Gram positive bacteria predominate Staphylococcus spp. coagulase negative. High percentages of resistance were obtained in front of almost all antimicrobials evaluated.  Conclusions: The completion of the institutional microbiological map allows updating the antimicrobial use policy by identifying the Gram negative bacilli, with high percentages of resistance, as the main etiological agents of the infections registered in this health center during 2020.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[mapa microbiológico]]></kwd>
<kwd lng="es"><![CDATA[resistencia bacteriana]]></kwd>
<kwd lng="es"><![CDATA[marcador epidemiológico]]></kwd>
<kwd lng="es"><![CDATA[hemocultivo]]></kwd>
<kwd lng="en"><![CDATA[microbiological map]]></kwd>
<kwd lng="en"><![CDATA[bacterial resistance]]></kwd>
<kwd lng="en"><![CDATA[epidemiological marker]]></kwd>
<kwd lng="en"><![CDATA[blood culture]]></kwd>
</kwd-group>
</article-meta>
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