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Jul 5, 2018Keywords:
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Comparative in vitro activity of ciprofloxacin and levofloxacin against isolated uropathogens in Ghana: a pilot study
Abstract
Introduction: studies on urinary tract infections (UTIs) in West Africa from 1990 to 2012 have showed moderate to high antimicrobial resistance to commonly prescribed antibiotics. Fluoroquinolones have been the main stay in the management of UTIs, but recent reports show emergence of resistance. Levofloxacin and ciprofloxacin still remain the commonest fluoroquinolones prescribed for UTIs in many settings. objective: this study sought to compare activity of ciprofloxacin and levofloxacin against clinical isolates obtained from patients with suspected UTI at the Ghana Police Hospital.
Methods: midstream urine samples from 153 suspected UTI patients who visited the Ghana Police Hospital from July 2016 to March 2017 were examined. Urine samples were cultured and isolates identified by standard biochemical and serological methods. The Kirby-Bauer disc diffusion method was used to determine susceptibility of isolates to ciprofloxacin and levofloxacin.
Results: UTI prevalence was significantly (p < 0.05) higher among female patients (74.5%) than male patients (25.5%). Clinical uropathogens isolated from urine samples were Escherichia coli (28.1%), Coliform spp (43.2%), Klebsiella spp (26.1%) and Staphylococcus aureus (2.6%). Overall sensitivity of the uropathogens to ciprofloxacin and levofloxacin were 77.1% and 62.8%, respectively. Staphylococcus aureus showed greater resistance to levofloxacin (75%) compared to ciprofloxacin (25%). All Gram-negative isolates showed a higher sensitivity to ciprofloxacin compared to levofloxacin: Escherichia coli; 69.8% vrs 62.8%, Coliform spp; 80.3% vrs 65.2%, and Klebsiella spp; 80% vrs 62.5%.
Conclusion: this study revealed emergence of resistance of uropathogens to quinolones. The isolates showed higher sensitivity to ciprofloxacin compared to levofloxacin. Rational prescribing and use of these fluoroquinolones following local susceptibility data is thus recommended.
