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The Poisoned Well: Enhancing the Predictive Value of Antimicrobial Susceptibility Testing in the Era of Multidrug Resistance
Author(s) -
Thea Brennan-Krohn,
Kenny Smith,
James E. Kirby
Publication year - 2017
Publication title -
journal of clinical microbiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.349
H-Index - 255
eISSN - 1070-633X
pISSN - 0095-1137
DOI - 10.1128/jcm.00511-17
Subject(s) - antimicrobial , multiple drug resistance , antibiotic resistance , predictive value , antibiotics , clinical microbiology , microbiology and biotechnology , medicine , biology
Antimicrobial susceptibility testing (AST) is a fundamental mission of the clinical microbiology laboratory. Reference AST methods are based on bacterial growth in antibiotic doubling dilution series, which means that any error in the reference method inherently represents at least a 2-fold difference. We describe the origins of current AST reference methodology, highlight the sources of AST variability, and propose ideas for improving AST predictive power.

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