Maestría en Laboratorio Clínico Mención Microbiología Clínica
Permanent URI for this collectionhttp://repositorio.uta.edu.ec/handle/123456789/42733
Browse
Item COINCIDENCIAS DEL DIAGNÓSTICO DEL GÉNERO STREPTOCOCCUS ENTRE MÉTODO MANUAL Y EL MÉTODO AUTOMATIZADO EN EL LABORATORIO AUTOMATIZADO ZAMORA(Universidad Técnica de Ambato / Facultad de Ciencias de Salud / Centro de Posgrados, 2024-10-01) Zamora Sánchez, María Cristina; Guangasig Toapanta, Víctor HernánThe genus Streptococcus sp. They are gram positive cocci; these bacteria grow in chains or pairs which are oxidase and catalase negative. Among the groups that cause disease in humans are the most frequent such as Streptococcus pyogenes (group A) produces tonsillitis and impetigo, Streptococcus pneumoniae is the cause. Of the majority of pneumonias acquired in the community, Streptococcus viridans and its groups are the cause of dental abscesses, within the subgenus is Streptococcus mutas the main agent that causes dental cavities and without forgetting that it causes endocarditis is a common pathogen that causes severe and potentially complicated infections with the possibility of generating serious sequelae, hence the importance of rapid, accurate and timely identification. In this context, it is essential to evaluate the available diagnostic methodologies to determine their relative effectiveness. In particular, the performance of the manual method should be compared with the Vitek 2 Compact automated system, in order to evaluate the concordance between both approaches in the identification of Streptococcus sp. The objective of this study is To evaluate the agreement of the diagnosis of Streptococcus sp. between the manual method and the automated method in the Zamora Automated Clinical Laboratory in the period July and May 2023-2024. The methodology used for this study was Quantitative, non-experimental, observational, descriptive study with verification of coincidences in diagnostic tests for the identification of 100 culture samples with growth for Streptococcus sp. in two laboratories, verification of coincidences in diagnostic tests for identification in 100 culture samples with growth for Streptococcus sp. in two laboratories, using conventional and automated methods (Vitek 2 Compact). To obtain results, tests were carried out to Differentiation tests were performed, obtaining 100% negative catalase, 100% alpha hemolysis, 100% resistant bacitracin, 94% resistant optochin. The identification of pathogens of the genus Streptococcus sp. was carried out using two different methods: one manual and the other automated. The manual method, revealed the following proportions: 94% corresponded to Streptococcus of the viridans group, 6% to S. pneumoniae, and 0% to S. pyogenes. On the other hand, the automated method provide results with 89% of S. viridans, 6% of S. pneumoniae and 0% of S. pyogenes. These findings show a slight discrepancy in the proportion of S. viridans identified by both methods, while the identities of S. pneumoniae and S. pyogenes remained constant between the two analytical approaches. The kappa index determined a concordance of 1 (almost perfect) according to the table between both methods for the identification of S. pneumoniae and 0.635 (considerable for identifying S. viridans. Based on these findings, a proposal was designed for the improvement of diagnostic skills according to the results obtained, the identification of the Streptococcus sp. by the manual method compared to the automated methodology (Vitek 2 Compact), presents high concordance, especially with S. pneumoniae. Strategies must be reviewed and implemented to improve the identification of this pathogen in laboratories how is the implementation of the automated equipment since it has a better identification in the subgenera of the viridans group which are of clinical interest in the dental areaItem EVALUACIÓN DE LA CONFIABILIDAD DE LA METODOLOGÍA MANUAL FRENTE A LA METODOLOGÍA AUTOMATIZADA EN LA IDENTIFICACIÓN DE CÁNDIDA ALBICANS(Universidad Técnica de Ambato / Facultad de Ciencias de Salud / Centro de Posgrados, 2024-10-01) Torres Valdez, Lissette Estefanía; Guangasig Toapanta, Víctor HernánCandida albicans is the main species related to most superficial and deep infections caused by yeasts, therefore it is necessary to have tests that are fast and accurate for timely microbiological identification through the reliability of both manual methodologies and automated methodologies such as the VITEK system and thus establish which is the best option to use in the laboratory, THE objective was to evaluate the reliability of manual methodology versus automated methodology in the identification of Candida albicans. The methodology used was a cross-sectional observational analytical study, with a quantitative approach since data collection was used based on numerical measurement and statistical analysis, it is non-experimental, according to the chronology the research is prospective, the inclusion and exclusion criteria were analyzed. The results were as follows: from 100 microbiological samples of fungi where 82% (n=82) corresponds to isolates of the albicans species, 18% corresponds to other species, which are: tropicalis (n=10), glabrata (n=5) and parapsilosis (n=3), was isolated in 82 samples of the microorganism to be identified of which it is observed that 73. 17% were isolated from vaginal secretion samples, 10.98% from skin secretions, 8.54% from seminal secretions, and 3.66% from oral and intestinal secretions. Of the total of 82 positive samples for Candida albicans, the conventional method (CHROMagar) and the automated method (VITEK) gave 70 correct identifications of the yeast and one incorrect identification of the yeast. On the other hand, CHROMagar identified 3 positive results that VITEK did not and VITEK identified 8 positive results that CHROMagar failed, the Kappa statistic (κ),. κ =0.093 indicates that there is a slight concordance between the CHROMagar and VITEK methods. The results indicate that there is no statistically significant agreement between the CHROMagar and VITEK methods for identifying Candida albicans. The odds ratios suggest some level of association, based on the Kappa statistic, an acceptable to moderate agreement between the two methods is proposed..