Identification and Antibiotic Resistance Profile of Uropathogenic Bacteria from Sexually Active Women with Bacterial Vaginosis

2021 
Background: Urinary tract infections (UTIs) in women with bacterial vaginosis (BV) continue to pose tremendous health concerns and require appropriate use of antibiotics for effective case management. This study determined the prevalence, etiology and antibiotic resistance profile of uropathogenic bacteria isolated from sexually active women with BV in Lagos Nigeria. Method: A total of 258 sexually active women presenting with gynaecological complaints at the maternal and child unit of twenty Primary Health Care Centres in Lagos Nigeria from May 2017 to March 2018 were consecutively enrolled with consent. Bacterial vaginosis was diagnosed based on Amsel criteria. Midstream urine samples were collected aseptically, analyzed for bacterial pathogens and antibiotic susceptibility using standard microbiological methods. Results: BV was diagnosed in 184 (71.3%) with 69.2% also having UTI. Ninety four (36.4%) had UTI predominantly caused by Gram negative bacteria (96.8%). The organisms isolated were Escherichia coli 79 (84.0%), Klebsiella pneumoniae 5 (5.3%), Pseudomonas aeruginosa 4 (4.3%), Proteus mirabilis 3 (3.2%) and Staphylococcus saprophyticus 3 (3.2%). The pathogens elicited high resistance (66.7% - 100%) to tetracycline, amoxicillin-clavulanic acid, nitrofurantoin and cephalosporins, and moderate resistance (50%) to ofloxacin by P. aeruginosa strains. The isolates were susceptible (100%) to piperacillin-tazobactam and meropenem. Multi-drug resistance (MDR) was observed among 97.8% of the bacteria isolated. Conclusion: Findings from this study indicate high occurrence of UTI caused by MDR pathogens among sexually active women with BV with emerging evidence of poor clinical utility of nitrofurantoin and other commonly used first-line antibiotics against UTI. Further studies on non-bacterial aetiology of BV, molecular characterization of S. saprophyticus and Gram Negative Bacteria UTI are recommended.
    • Correction
    • Source
    • Cite
    • Save
    • Machine Reading By IdeaReader
    0
    References
    0
    Citations
    NaN
    KQI
    []