Genotipos de Staphylococcus aureus con fenotipo meticilino resistente, aislados de pacientes del Hospital Base de Valdivia
Autor: | Mónica Gil D, Laura Otth R., Gustavo Medina S, Heriberto Fernández J, Angela Zaror C, Ana María von Chrismar, María Inés Arce V, Víctor Lizama, Myra Wilson S, Carola Otth L |
---|---|
Rok vydání: | 2007 |
Předmět: |
Drug resistance
bacterial Erythromycin General Medicine biochemical phenomena metabolism and nutrition Biology bacterial infections and mycoses Antimicrobial Hypervariable region Lincomycin Microbiology Penicillin Ciprofloxacin Methicillin Ampicillin medicine Staphylococcu aureus Cephradine medicine.drug |
Zdroj: | Revista médica de Chile v.135 n.5 2007 SciELO Chile CONICYT Chile instacron:CONICYT |
ISSN: | 0034-9887 |
DOI: | 10.4067/s0034-98872007000500007 |
Popis: | Background: Methicillin resistant strains of Staphylococcus aureus (MRSA) are an important cause of nosocomial infections. Aim: To determine the genotypes of MRSA strains. Material and methods: Fifty five strains of MRSA, isolated from patients hospitalized in Hospital Base Valdivia, were studied. The phenotype was determined through MicroScan® in all strains and by minimum inhibitory concentration (MIC) in 41. The genotype of the strains was analyzed by a duplex polymerase chain reaction (PCR) of the mecA gene, amplifying eight hypervariable DNA regions associated to such gene. Results: According to MIC, 88% of strains had a pattern of resistance against multiple antimicrobial (penicillin, ampicillin, cephradine, gentamycin, ciprofloxacin, ¡incomycin and erythromycin). Vancomicin resistan strains were not detected. Only 53 strains (96%) had at least one of the eight hypervariable regions and were classified as MRSA. Genotypic patterns types 15 were the most commonly detected in 38% and 34% of strains, respectively. MicroScan® erroneously classified five strains in an incorrect phenotype, according to results obtained with duplex PCR. MIC results did not differ from those of duplex PCR. Conclusions: Duplex- PCR is a useful tool to detect hyper variable regions associated to mecA gene |
Databáze: | OpenAIRE |
Externí odkaz: |