Reporting identification of Acinetobacter spp genomic species: A nationwide proficiency study in Spain
| Autor: | Álvaro Pascual, Germán Bou, Concha Gimeno, Felipe Fernández-Cuenca, Nuria Tormo, María Tomás |
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| Rok vydání: | 2019 |
| Předmět: |
0301 basic medicine
Microbiology (medical) DNA Bacterial Laboratory Proficiency Testing Genotyping Techniques 030106 microbiology Microbial Sensitivity Tests DNA sequencing 03 medical and health sciences Automation 0302 clinical medicine Antibiotic resistance Species Specificity Drug Resistance Multiple Bacterial Genotype Humans 030212 general & internal medicine Genetics biology Acinetobacter Sequence Analysis DNA biology.organism_classification rpoB Antimicrobial Acinetobacter baumannii Bacterial Typing Techniques Molecular Typing Spain Spectrometry Mass Matrix-Assisted Laser Desorption-Ionization Identification (biology) Acinetobacter Infections |
| Zdroj: | Enfermedades infecciosas y microbiologia clinica (English ed.). 37:89-92 |
| ISSN: | 2529-993X |
| Popis: | Acinetobacter baumannii is the most important genomic species of Acinetobacter from a clinical and epidemiological point of view. Nevertheless, genomic species other than A. baumannii are increasingly recognized as nosocomial pathogens. Molecular methods of identification (genotypic and proteomic assays) are more accurate and reliable and have greater discriminatory power than phenotypic methods. Eleven genomic species of Acinetobacter spp. (8 A. baumannii, 1 A. pittii, 1 A. nosocomialis and 1 A. lwoffii) with different antimicrobial resistance phenotypes and mechanisms of resistance to antimicrobial agents were sent to 48 participating Spanish centers to evaluate their ability for correct identification at the genomic species level. Identification of the genomic species was performed at the two Clinical Microbiology reference laboratories (Hospital Universitario Virgen Macarena, Seville, Spain; and Complejo Hospitalario Universitario de A Coruna, A Coruna, Spain) by partial DNA sequencing of the rpoB gene and MALDI-TOF. The mean percentage of agreement was 76.1%. Fifty percent of CC-01 (A. pittii) and 50% of CC-02 (A. nosocomialis) identification results were reported as A. baumannii. Discrepancies by type of systems used for identification were: MicroScan WA (51.1%), Vitek 2 (19.5%), MALDI-TOF (18.0%), Phoenix (4.5%), Wider (3.8%) and API 20 NE (3.0%). In conclusion, clinical microbiology laboratories must improve their ability to correctly identify the most prevalent non A. baumannii genomic species. |
| Databáze: | OpenAIRE |
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