Browsing by Author "Chávez Trávez, Erika Carolina"

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    “FACTORES DE RIESGO PRE-ANALÍTICOS Y SU RELACIÓN CON LA DETERMINACIÓN DE PLASMODIUM SPP EN LOS PACIENTES QUE ACUDEN AL LABORATORIO DEL CENTRO DE SALUD LORETO ÁREA N o3 DE LA PROVINCIA DE ORELLANA”
    (2015-02-27) Chávez Trávez, Erika Carolina
    La investigación tuvo como finalidad investigar los factores de riesgo pre-analíticos y su relación con la determinación de Plasmodium spp en los pacientes que acuden al laboratorio del centro de salud Loreto área No 3 de la provincia de Orellana la investigación se realizó con 100 observaciones de los procesos aplicados en los análisis de sangre, que luego de aplicar los criterios de inclusión y exclusión se redujo a 60 observaciones. El estudio se desarrolló bajo el nivel descriptivo ya que al correlacionar las variables permitió tener una mejor noción de lo que se está estudiando y al describir las características más relevantes y su importancia se pudo tener una idea más clara de la importancia de la fase pre analítica El trabajo que se realizó es muy importante porque gracias a esta investigación se bridó una guía para evitar errores en la Fase preanalítica y su relación con la determinación de Plasmodium spp, al personal que labora en el Laboratorio Clínico del centro de salud Loreto área No 3 de la provincia de Orellana.
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    MÉTODOS MICROBIOLÓGICOS PARA LA DETECCIÓN DE ENTEROBACTERALES PRODUCTORAS DE BLEE Y CARBAPENEMASAS EN PACIENTES INGRESADOS EN EL HOSPITAL DE TENA
    (Universidad Técnica de Ambato / Facultad de Ciencias de Salud / Centro de Posgrados, 2024-10-10) Chávez Trávez, Erika Carolina; Poveda Paredes, Francisco Xavier
    Over the years bacteria have been evolving and acquiring different qualities and abilities to avoid the action of antibiotics on them, which has become a public health problem involving the general population. This study focused on two types of bacterial resistance which are the extended spectrum beta-lactamases (ESBL) and Carbapenemases that primarily affect hospitalization services. The objective is to correlate phenotypic and automated microbiological diagnostic methods for the detection of ESBL- and Carbapenemase-producing Enterobacteriaceae. Methodology. A prospective, cross-sectional, observational and non-experimental design study was carried out at the General Hospital José María Velasco Ibarra in the hospitalization areas of Internal Medicine and the Intensive Care Unit (ICU), services that are characterized by showing more pathologies related to bacterial infections within the health facility. Results. Of the 107 samples analyzed, there was a presence of Enterobacteriaceae, it was evidenced that 19 samples showed resistance to Betalactams in the automated VITEK 2 compact system, while in the manual phenotypic method, 21 specimens with the same multi-resistance were obtained, after performing the quality controls and comparison with pre-established protocols in addition to the realization of a statistical study of Pearson coefficient, it was demonstrated that the methods have great similarity in their results. Additionally, during this study two samples were collected that presented resistance to Carbapenemics, in this identification the methods that were compared had 100% concordance, which suggests that the technique we choose will help us to recognize Carbapenemase-producing enterobacteria, taking into account that the techniques go hand in hand for the issuance of a result. Once all the transcendence data were recognized, a diagnostic algorithm was designed that can help us for the correct processing of enterobacteria with these types of resistance in the microbiology laboratory, in order to help the doctor in the diagnosis and timely treatment of this type of infections in hospitalized patients. ESBL- and Carbapenemase-producing enterobacteria were identified in the different samples received from the hospitalization areas of Internal Medicine and ICU, and it was determined that the automated method will be the Gold standard for finding bacterial resistances, however the manual method is also highly reliable. Finally, an algorithm was developed to help in the adequate characterization of multidrugresistant organisms.