Literature DB >> 25449235

Antimicrobial profiles of bacterial clinical isolates from the Gabonese National Laboratory of Public Health: data from routine activity.

Léonard Kouegnigan Rerambiah1, Jean-Charles Ndong2, Pauline Mbakob Mengue Massoua1, Severin Medzegue3, Médard Elisee-Ndam3, Armel Mintsa-Ndong1, Joel Fleury Djoba Siawaya4.   

Abstract

BACKGROUND: The present study is one of the first to provide a picture of antimicrobial resistance for a range of bacteria and antimicrobial classes in Gabon, Central Africa.
METHODS: During the year 2010, 146 urine cytology, 143 blood cultures, 107 vaginal swabs, 23 urethral swabs, and 18 other culture examinations were positives. All isolates were tested for antibiotic sensitivity.
RESULTS: Four hundred thirty-seven microorganisms were isolated: 210 enterobacteria, 166 staphylococci, 38 streptococci, 14 Acinetobacter, and nine Stenotrophomonas. Of the Klebsiella isolates, 18% and 30% were found to be resistant to selected third-generation cephalosporins (3CG) and fourth-generation cephalosporins (4CG), respectively. Sixty-seven percent of Escherichia coli isolates were resistant to amoxicillin with clavulanic acid. Between 3% and 30% of E. coli isolates were resistant to selected 3CG. All Enterobacter cloacae isolates were sensitive to imipenem. Resistance to quinolones/fluoroquinolones was seen in 21-50% of E. coli isolates. Twenty-six percent of E. cloacae showed resistance to ceftazidime and 37% to cefotaxime. The resistance rate to quinolones ranged between 58% and 78%. Thirty-two percent of Staphylococcus isolates were resistant to gentamicin. Low resistance rates to teicoplanin (2-4%) were observed. Thirty-seven percent of isolated Staphylococcus aureus and 61% of isolated Staphylococcus saprophyticus were resistant to both penicillin G and oxacillin. Streptococcus isolates had low resistance rates to erythromycin, ceftriaxone, and ciprofloxacin (5%, 7%, and 14%, respectively) and were highly resistant to tetracycline, gentamicin, and sulfamethoxazole-trimethoprim (92%, 91%, and 62%, respectively).
CONCLUSIONS: The antimicrobial resistance profiles seen here are of concern. To control the spread of drug-resistant bacteria, clinicians should be cognizant of their local antimicrobial resistance patterns.
Copyright © 2014 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Antimicrobial; Bacteria; Clinical isolates; Resistance

Mesh:

Substances:

Year:  2014        PMID: 25449235     DOI: 10.1016/j.ijid.2014.01.015

Source DB:  PubMed          Journal:  Int J Infect Dis        ISSN: 1201-9712            Impact factor:   3.623


  4 in total

1.  Five-Year Antimicrobial Susceptibility Trends Among Bacterial Isolates from a Tertiary Health-Care Facility in Kigali, Rwanda.

Authors:  Makeda Carroll; Ashok Rangaiahagari; Emmanuel Musabeyezu; Donald Singer; Onyema Ogbuagu
Journal:  Am J Trop Med Hyg       Date:  2016-10-31       Impact factor: 2.345

2.  Microbial Contaminants of Cord Blood Units Identified by 16S rRNA Sequencing and by API Test System, and Antibiotic Sensitivity Profiling.

Authors:  Luís França; Catarina Simões; Marco Taborda; Catarina Diogo; Milton S da Costa
Journal:  PLoS One       Date:  2015-10-29       Impact factor: 3.240

3.  Knowledge and perception on antimicrobial resistance and antibiotics prescribing attitude among physicians and nurses in Lambaréné region, Gabon: a call for setting-up an antimicrobial stewardship program.

Authors:  Bayode Romeo Adegbite; Jean Ronald Edoa; Frieder Schaumburg; Abraham S Alabi; Ayola Akim Adegnika; Martin P Grobusch
Journal:  Antimicrob Resist Infect Control       Date:  2022-03-03       Impact factor: 4.887

4.  Antimicrobial resistance in Africa: a systematic review.

Authors:  Birkneh Tilahun Tadesse; Elizabeth A Ashley; Stefano Ongarello; Joshua Havumaki; Miranga Wijegoonewardena; Iveth J González; Sabine Dittrich
Journal:  BMC Infect Dis       Date:  2017-09-11       Impact factor: 3.667

  4 in total

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