Comparison of methods for the detection of in vitro synergy in multidrug-resistant gram-negative bacteria

BMC Microbiol. 2020 Apr 16;20(1):97. doi: 10.1186/s12866-020-01756-0.

Abstract

Background: The use of combined antibiotic therapy has become an option for infections caused by multidrug-resistant (MDR) bacteria. The time-kill (TK) assay is considered the gold standard method for the evaluation of in vitro synergy, but it is a time-consuming and expensive method. The purpose of this study was to evaluate two methods for testing in vitro antimicrobial combinations: the disk diffusion method through disk approximation (DA) and the agar gradient diffusion method via the MIC:MIC ratio. The TK assay was included as the gold standard. MDR Gram-negative clinical isolates (n = 62; 28 Pseudomonas aeruginosa, 20 Acinetobacter baumannii, and 14 Serratia marcescens) were submitted to TK, DA, and MIC:MIC ratio synergy methods.

Results: Overall, the agreement between the DA and TK assays ranged from 20 to 93%. The isolates of A. baumannii showed variable results of synergism according to TK, and the calculated agreement was statistically significant in this species against fosfomycin with meropenem including colistin-resistant isolates. The MIC:MIC ratiometric agreed from 35 to 71% with TK assays. The kappa test showed good agreement for the combination of colistin with amikacin (K = 0.58; P = 0.04) among the colistin-resistant A. baumannii isolates.

Conclusions: The DA and MIC:MIC ratiometric methods are easier to perform and might be a more viable tool for clinical microbiology laboratories.

Keywords: Disk approximation; Gram-negative; MIC:MIC ratio; Multidrug-resistant; Synergy; Time-kill.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Amikacin / pharmacology*
  • Colistin / pharmacology*
  • Disk Diffusion Antimicrobial Tests
  • Drug Combinations
  • Drug Resistance, Multiple, Bacterial*
  • Drug Synergism
  • Gram-Negative Bacteria / drug effects*
  • Gram-Negative Bacteria / genetics
  • Microbial Sensitivity Tests / methods*
  • Microbial Viability / drug effects

Substances

  • Drug Combinations
  • Amikacin
  • Colistin