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Reading and understanding an antibiogram

Authors: Tascini C; Sozio E; Viaggi B; Meini S;

Reading and understanding an antibiogram

Abstract

In recent years, we have been facing a significant increase in antimicrobial resistance and complex enzymatic mechanisms. The challenge of antibiotic resistance is becoming dramatic. Among gram-positive it is spreading resistance to glycopeptides, reducing the possibility to use these drugs empirically. Among gram-negative rods, beside the spreading of extended-spectrum β-lactamases, there is an increased diffusion of carbapenemases. In order to administer the correct antibiotic therapy, physicians need a rapid and correct interpretation with non-automated tests to implement appropriate therapeutic strategies. The automated reporting systems do not always provide complete and accurate information on antimicrobial resistance phenotype, making it difficult to interpret. Recently, the European Committee of Antimicrobial Susceptibility Testing (EUCAST) has proposed a new breakpoint system to be adopted by European countries. An interpretative reading of an antibiogram aims to analyze the overall susceptibility pattern, not just the result for an individual antibiotic, and so to predict the underlying resistance mechanisms. The purpose of this work is to guide physicians in reading and understanding antibiograms through an attempt of phenotypic interpretation of resistance mechanism.

Country
Italy
Keywords

susceptibility test, antibiotic., Antibiogram, R, Medicine, minimal inhibitory concentration, General Medicine

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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