Dynamics of resistance to antibiotics in nosocomial staphylococci from multidisciplinary hospital

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Abstract

Background. Staphylococci are still the leading causative agents of infections associated with healthcare, and the study of their antibiotic resistance is still relevant.

Aim. The research is aimed at study of antibiotic resistance of hospital strains of staphylococci in dynamics.

Materials and methods. Susceptibility to 16 antimicrobial agents was studied in 554 Staphylococcus strains, isolated from patients in a multidisciplinary medical centre. The method of serial microdilutions was used.

Results. Antibiotic-resistant strains prevailed (85.4%). Methicillin-resistance and multy-resistance were found to be more typical for coagulase-negative strains – 75.2% and 74.1% respectively, than for Staphylococcus aureus – 14.2% and 15.4% respectively. Methicillin-resistance and poly-resistance in S. aureus was found to decrease – it was 11.1% and 12.8% in 2015–2016 (17.1% and 17.9% respectively in 2011–2012). On the contrary, methicillin-resistance in coagulase-negative staphylococci strains during the same period increased 1.5 times. Totally, methicillin-resistant strains composed a half of the isolates – 48.7%. The studied Staphylococcus strains were susceptible to vancomycin, daptomycin, tigecycline. Resistance to linezolid and amikacin was 2.2% and 2.7% respectively. S. aureus strains were all susceptible to linezolid, fusidic acid, rifampicin, trimethoprim-sulfamethoxazole. Minimum inhibitory concentrations (MIC) of antibiotics for staphylococci varied in wide ranges from 0.06 to ≥128 mg/l. For S. aureus and S. epidermidis, the MIC50 and MIC90 of only five drugs (benzylpenicillin, tigecycline, vancomycin, linezolid, and daptomycin) were the same, while the MIC50 and MIC90 of most of the other studied drugs against S. epidermidis were significantly higher compared to S. aureus.

Conclusion. The variability of resistance of staphylococci to antimicrobial drugs in a multidisciplinary hospital confirms the need for continuous monitoring of their antibiotic resistance.

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About the authors

Dmitry P. Gladin

St. Petersburg State Pediatric Medical University

Author for correspondence.
Email: gladin1975@mail.ru

MD, PhD, Associate Professor, Head of the Department of Microbiology, Virusology & Immunology

Russian Federation, Saint Petersburg

Nadezhda S. Kozlova

St. Petersburg State North-Western Medical University named after I.I. Mechnikov

Email: spbkns@gmail.com

MD, PhD, Associate Professor of the Department of Medical Microbiology

Russian Federation, Saint Petersburg

Alexander M. Korolyuk

St. Petersburg State Pediatric Medical University

Email: microb3@mail.ru

MD, PhD, Dr. Sci. (Med.), Professor of the Department of Microbiology, Virusology & Immunology

Russian Federation, Saint Petersburg

Natalia E. Barantsevich

Almazov National Medical Research Centre

Email: lenabara2003@inbox.ru

Junior Researcher, Research Laboratory of Nosocomial Infections

Russian Federation, Saint Petersburg

Ilya A. Baranov

St. Petersburg State North-Western Medical University named after I.I. Mechnikov

Email: vodolaz74@yandex.ru

Student of faculty General Medicine

Russian Federation, Saint Petersburg

Alina R. Khairullina

St. Petersburg State Pediatric Medical University

Email: alinka_1614@mail.ru

Student of faculty General Medicine

Russian Federation, Saint Petersburg

Elena P. Barantsevich

Almazov National Medical Research Centre

Email: lenabara2003@inbox.ru

MD, PhD, Dr. Sci. (Med.), Professor, Head, Research Laboratory of Nosocomial Infections

Russian Federation, Saint Petersburg

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Supplementary files

Supplementary Files
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1. JATS XML
2. Fig. 1. Dynamics of the proportion of staphylococci isolated from various materials from patients: a – 2011–2012, b — 2015–2016

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3. Fig. 2. Resistance of staphylococci to different antibiotics. Pn – penicillin, Cip – ciprofloxacin, Dx – doxycycline, Ak – amikacin, Stri – sulfamethoxazole/trimethoprim, Cld – clindamycin, Ln – linezolid, Tig – tigecycline. CNS – coagulase-negative staphylococci

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4. Fig. 3. Dynamics of the share of methicillin-resistant strains of staphylococci in 2011–2012 and 2015–2016

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5. Fig. 4. The proportions of MRSA, MSSA, MSCNS and MRCNS among staphylococci: a – 2011–2012, b — 2015–2016

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6. Fig. 5. Dynamics of resistance of staphylococci to antimicrobial drugs in 2011–2012 and 2015–2016. Here and in fig. 6–8: Pn – penicillin, Ox – oxacillin, Cip – ciprofloxacin, Dx – doxycycline, Ak – amikacin, Stri – sulfamethoxazole/trimethoprim, Cld – clindamycin, Ln – linezolid, Tig – tigecycline, Mox – moxifloxacin, Gm – gentamicin, Clr – clarithromycin, Fz – fusidine, Rif – rifampicin, Dpt – daptomycin, Van – vancomycin. CNS – coagulase-negative staphylococci

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7. Fig. 6. Dynamics of S. aureus resistance to antimicrobial drugs in 2011–2012 and 2015–2016

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8. Fig. 7. Dynamics of S. epidermidis resistance to antimicrobial drugs in 2011–2012 and 2015–2016

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9. Fig. 8. Dynamics of resistance of other CNS to antimicrobial drugs in 2011–2012 and 2015–2016

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10. Fig. 9. Dynamics of the proporions of multidrug-resistant staphylococcal strains in 2011–2012 and 2015–2016

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Copyright (c) 2022 Gladin D.P., Kozlova N.S., Korolyuk A.M., Barantsevich N.E., Baranov I.A., Khairullina A.R., Barantsevich E.P.

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