Rapid meropenem/vaborbactam NP test for detecting susceptibility/resistance in Enterobacterales
DOKPE
Published in:
- Journal of Antimicrobial Chemotherapy. - Oxford, UK : Oxford University Press. - 2023, vol. 78, no. 10, p. 1-7
English
Background: The treatment options for infections caused by carbapenem-resistant Enterobacterales (CRE) are extremely scarce nowadays and the development of new antibiotics does not follow the exponential increase in the dissemination of carbapenem resistance determinants worldwide. Meropenem/vaborbactam was recently approved for clinical use and it has been indicated for treating several infections. Although relatively rare, meropenem/vaborbactam resistance has already been reported in Enterobacterales and its early detection could be a valuable tool for faster clinical decision-making.
Objectives: To develop a rapid test, namely the Rapid MEV NP, for the identification of meropenem/vaborbactam resistance in Enterobacterales.
Methods: The Rapid MEV NP test is based on detection of glucose metabolization occurring upon bacterial growth in the presence of meropenem/vaborbactam at a concentration of 16/8 mg/L. Bacterial growth is detectable by a colour change of phenol red (from red to yellow) subsequent of the acidification of the medium upon bacterial growth. A total of 75 Enterobacterales isolates were randomly selected for evaluating the performance of the Rapid MEV NP test.
Results: The test showed 97.2% sensitivity and 93.8% specificity when compared with the reference method. The results are obtained after 3 h of incubation at 35°C ± 2°C, which is a gain of time of at least 15 h (one day in practice) compared with currently used antimicrobial susceptibility testing including broth microdilution methods.
Conclusions: The Rapid MEV NP test, easy to perform and to interpret, showed remarkable performance while providing fast results, and is therefore suitable for implementation in routine clinical microbiology laboratories.
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Faculty
- Faculté des sciences et de médecine
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Department
- Département de Médecine
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Language
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Classification
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Medicine
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License
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CC BY
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Open access status
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hybrid
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Identifiers
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Persistent URL
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https://folia.unifr.ch/unifr/documents/328449
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