Abstract

Results: With the antibiograms and MIC-dilutions for every bacteria and biocide, the bivariate analysis found that only 4.7% of the antibiotic-biocide pairs showed a significant correlation (p < 0.05%) between antibiotic resistance and decreased susceptibility to the disinfectant or antiseptic, 8.3% showed a significant inverse correlation, and the rest no correlation. Multivariate analysis of the above variables (controlling the effects of the type of microorganism and disinfectant or antiseptic used), showed that overall fit of the equation was very poor, since R 2 = 0.032. Conclusion: In a large sample of different bacteria genera there was no significant correlation between antibiotic resistance and decreased susceptibility to disinfectants and antiseptics, except in 4.7% of the antibiotic-biocide pairs. List of abbreviations: OPA: Ortho-phthalaldehyde; NFGNB: Non Fermentative Gram Negative Bacteria; ROC: Receiver Operating Characteristics; COR: Correlations with p < 0.05; Cor: Correlations with p between 0.05 and 0.1; SXT: Sulfamethoxazole trimethoprim; CPH: Cephalothin; LEVO: Levofloxacin; IPM: Imipenem; TOB: Tobramycin; CAZ: Ceftazidime; GM: Gentamicin; AN: Amikacin; FO: Phosphomycin; TZP: Tazobactam; ATM: Aztreonam; TEC: Teicoplanin

Highlights

  • As WHO warned in 2014 [1], antimicrobial resistance is a global problem

  • We used a great number of microorganisms from different bacterial genera and some biocides in order to conclude if there was an association between antibiotic resistances and decreased disinfectant effects

  • Material and Methods: Serial dilutions were performed with six disinfectants and two antiseptics to study the MIC-dilution and that dilution was contrasted with the antibiograms of each of the 159 bacteria recently isolated from ICU patients

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Summary

Introduction

As WHO warned in 2014 [1], antimicrobial resistance is a global problem. It increases the death risk for patients infected with resistant strains, who consume more healthcare resources than patients infected with sensitive bacteria. For this reason, we explored the possible correlation between antibiotic resistance and decreased susceptibility to biocides, in order to find the best biocide in this environment of increased antibiotic resistance. Every family of bacteria has certain intrinsic characteristics and resistances that determine cellular imperm-

Results
Discussion
Conclusion

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