Meropenem/colistin synergy testing for multidrug-resistant Acinetobacter baumannii strains by a two-dimensional gradient technique applicable in routine microbiology
| Autor: | Veronique Sauvonnet, Anette Engelhardt, Asa Karlsson, Diane Halimi, Alex van Belkum, Géraldine Durand, Gilles Zambardi, Abdessalam Cherkaoui, Gesuele Renzi, Jacques Schrenzel, Eve-Julie Bonetti, Roland Martelin, Sonia Chatellier |
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| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
Acinetobacter baumannii
Microbiology (medical) medicine.drug_class Antibiotics Microbial Sensitivity Tests Meropenem Microbiology Antibiotic resistance Drug Resistance Multiple Bacterial medicine Pharmacology (medical) Pharmacology ddc:616 biology Colistin Drug Synergism biology.organism_classification Antimicrobial Anti-Bacterial Agents Infectious Diseases Thienamycins Multidrug resistant Acinetobacter baumannii Antagonism medicine.drug |
| Zdroj: | Journal of Antimicrobial Chemotherapy, Vol. 70, No 1 (2015) pp. 167-72 |
| ISSN: | 0305-7453 |
| Popis: | Objectives Precise assessment of potential therapeutic synergy, antagonism or indifference between antimicrobial agents currently depends on time-consuming and hard-to-standardize in vitro chequerboard titration methods. We here present a method based on a novel two-dimensional antibiotic gradient technique named Xact™. Methods We used a test comprising a combination of perpendicular gradients of meropenem and colistin in a single quadrant. We compared test outcomes with those obtained with classical chequerboard microbroth dilution testing in a study involving 27 unique strains of multidrug-resistant Acinetobacter baumannii from diverse origins. Results We were able to demonstrate 92% concordance between the new technology and classical chequerboard titration using the A. baumannii collection. Two strains could not be analysed by Xact™ due to their out-of-range MIC of meropenem (>128 mg/L). Conclusions The new test was shown to be diagnostically useful, easy to implement and less labour intensive than the classical method |
| Databáze: | OpenAIRE |
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