Antibiotic Susceptibility Pattern of Extended Spectrum Betalactamase (ESBL) Producers and other Bacterial Pathogens in Kano, Nigeria
Purpose: To evaluate the antibiotic susceptibility pattern of various bacterial pathogens including extended spectrum betalactamase (ESBL) producers in Kano, Nigeria. Method: A total of 604 consecutive clinical samples obtained from Aminu Kano Teaching Hospital (AKTH), Kano between January and July...
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Veröffentlicht in: | Tropical journal of pharmaceutical research 2015-07, Vol.14 (7), p.1273 |
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Sprache: | eng |
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Zusammenfassung: | Purpose: To evaluate the antibiotic susceptibility pattern of various
bacterial pathogens including extended spectrum betalactamase (ESBL)
producers in Kano, Nigeria. Method: A total of 604 consecutive clinical
samples obtained from Aminu Kano Teaching Hospital (AKTH), Kano between
January and July 2010 were analyzed for bacterial pathogens using
standard microbiological techniques for the isolation and
identification of pathogens. Antibiotics susceptibility tests
including, ESBL screening and confirmation, were carried out by disc
diffusion technique using Clinical Laboratory Standard Institute (CLSI)
criteria. Results: Ten different types of bacteria genera were observed
from nine different clinical samples. E. coli was the most frequently
isolated bacteria (30.5 %) followed by Staphylococcus aureus (21.3
%). ESBL producers showed high-level resistance against the quinolones,
aminoglycoside and cotrimoxazole but were sensitive to carbapenems and
levofloxaccin. Non-ESBL organisms showed increased resistance to
amoxicillin-clavulanate, ceftazidime, cotrimoxazole, tetracycline and
amoxycillin. The prevalence of ESBL producers was 12.8 %. E. coli,
Klebsiella pneumonia and Pseudomonas aeruginosa showed ESBL
production of 17.3, 14.9 and 10.0 %, respectively. Conclusion: The
findings of this study suggest that regular surveys should be carried
out in this locality to provide baseline data that would always be of
clinical relevance in the treatment of patients and to detect the
emergence of multiple antibiotic resistance strains. |
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ISSN: | 1596-5996 1596-9827 |
DOI: | 10.4314/tjpr.v14i7.21 |