A snapshot of antimicrobial resistance in Mexico. Results from 47 centers from 20 states during a six-month period
Aim We aimed to assess the resistance rates of antimicrobial-resistant, in bacterial pathogens of epidemiological importance in 47 Mexican centers. Material and methods: In this retrospective study, we included a stratified sample of 47 centers, covering 20 Mexican states. Selected isolates consider...
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2019 |
| País: | México |
| Institución: | Instituto Nacional de Salud Pública |
| Repositorio: | Repositorio Institucional Abierto de Conocimiento en Salud Pública |
| Idioma: | español |
| OAI Identifier: | oai:repositorio.insp.mx:20.500.12096/7628 |
| Acceso en línea: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0209865 https://www.doi.org/10.1371/journal.pone.0209865 http://repositorio.insp.mx:8080/jspui/handle/20.500.12096/7628 |
| Access Level: | acceso abierto |
| Palabra clave: | Acinetobacter drug effectsDrug Resistance, Multiple, Bacterial,Escherichia coli drug effectsFemaleGram-Negative Bacteria classificationGram-Negative Bacteria drug effects,Gram-Negative Bacterial Infections epidemiologyGram-Negative Bacterial Infections microbiologyHumansKlebsiella drug effectsMaleMexico epidemiologyPrevalenceRetrospective StudiesSoftware,SD info:eu-repo/classification/cti/3 |
| Sumario: | Aim We aimed to assess the resistance rates of antimicrobial-resistant, in bacterial pathogens of epidemiological importance in 47 Mexican centers. Material and methods: In this retrospective study, we included a stratified sample of 47 centers, covering 20 Mexican states. Selected isolates considered as potential causatives of disease collected over a 6-month period were included. Laboratories employed their usual methods to perform microbiological studies. The results were deposited into a database and analyzed with the WHONET 5.6 software. Results: In this 6-month study, a total of 22,943 strains were included. Regarding Gram-negatives, carbapenem resistance was detected in ≤ 3% in Escherichia coli, 12.5% in Klebsiella sp. and Enterobacter sp., and up to 40% in Pseudomonas aeruginosa; in the latter, the resistance rate for piperacillin-tazobactam (TZP) was as high as 19.1%. In Acinetobacter sp., resistance rates for cefepime, ciprofloxacin, meropenem, and TZP were higher than 50%. Regarding Gram-positives, methicillin resistance in Staphylococcus aureus (MRSA) was as high as 21.4%, and vancomycin (VAN) resistance reached up to 21% in Enterococcus faecium. Acinetobacter sp. presented the highest multidrug resistance (53%) followed by Klebsiella sp. (22.6%) and E. coli (19.4%). Conclusion: The multidrug resistance of Acinetobacter sp., Klebsiella sp. and E. coli and the carbapenem resistance in specific groups of enterobacteria deserve special attention in Mexico. Vancomycin-resistant enterococci (VRE) and MRSA are common in our hospitals. Our results present valuable information for the implementation of measures to control drug resistance. |
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