infecção ou colonização por micro-organismos resistentes: identificação de preditores infection or colonization with resistant microorganisms: identification of predictors
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2013
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Abstract
OBJETIVO: Identificar os fatores preditores de infecção ou colonização por micro-organismos resistentes. MÉTODOS: Foi realizado estudo quantitativo de coorte prospectivo. Foram realizadas a análise descritiva, para conhecimento da população do estudo, e a análise discriminante, para identificação dos fatores preditores. RESULTADOS: Foram incluídos 85 pacientes com infecções por micro-organismos resistentes: Pseudomonas aeruginosas resistente aos carbapenêmicos (24,7%), Acinetobacter resistente aos carbapenêmicos (21,2%), Staphylococcus aureus resistente à meticilina (25,9%), Enterococcus spp. resistente à vancomicina (17,6%) e Klebsiella pneumoniae resistente aos carbapenêmicos (10,6%). A análise discriminante identificou transferências de outros hospitais e internação na Unidade de Terapia Intensiva como fatores preditores para ocorrência de infecção pelos grupos S. aureus resistente à meticilina, Acinetobacter resistente aos carbapenêmicos e K. pneumoniae resistente aos carbapenêmicos. Nenhuma das variáveis estudadas foi discriminante para Enterococcus spp. resistente à vancomicina e P. aeruginosas resistente aos carbapenêmico. CONCLUSÃO: Os fatores preditores encontrados foram: internação na UTI e a transferências de outros hospitais.
OBJECTIVE: Identifying predictors of infection or colonization with resistant microorganisms. METHODS: A quantitative study of prospective cohort was carried out. A descriptive analysis was performed in order to know the population of the study and a discriminant analysis was performed to identify the predictors. RESULTS: In this study were included 85 patients with infections caused by resistant microorganisms: carbapenem-resistant Pseudomonas aeruginosas (24.7%); carbapenem-resistant Acinetobacter (21.2%); methicillin-resistant Staphylococcus aureus (25.9%), vancomycin-resistant Enterococcus spp (17.6%) and carbapenem-resistant Klebsiella pneumonia (10.6%). The discriminant analysis identified transfers from other hospitals and hospitalization in intensive care unit as predictors for the occurrence of infections by the following groups: S. aureus resistant to methicillin, Acinetobacter resistant to carbapenems and K. pneumoniae resistant to carbapenems. None of the studied variables was discriminant for vancomycin-resistant Enterococcus spp. and carbapenem-resistant P. aeruginosas.
OBJECTIVE: Identifying predictors of infection or colonization with resistant microorganisms. METHODS: A quantitative study of prospective cohort was carried out. A descriptive analysis was performed in order to know the population of the study and a discriminant analysis was performed to identify the predictors. RESULTS: In this study were included 85 patients with infections caused by resistant microorganisms: carbapenem-resistant Pseudomonas aeruginosas (24.7%); carbapenem-resistant Acinetobacter (21.2%); methicillin-resistant Staphylococcus aureus (25.9%), vancomycin-resistant Enterococcus spp (17.6%) and carbapenem-resistant Klebsiella pneumonia (10.6%). The discriminant analysis identified transfers from other hospitals and hospitalization in intensive care unit as predictors for the occurrence of infections by the following groups: S. aureus resistant to methicillin, Acinetobacter resistant to carbapenems and K. pneumoniae resistant to carbapenems. None of the studied variables was discriminant for vancomycin-resistant Enterococcus spp. and carbapenem-resistant P. aeruginosas.
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| Authors | ;Graciana Maria de Moraes;Frederico Molina Cohrs;Ruth Ester Assayag Batista;Renato Satovschi Grinbaum |
| Journal | ecology and society |
| Year | 2013 |
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