Bacterial profile, antimicrobial susceptibility pattern and associated risk factors of urinary tract infection among pregnant women attending tertiary care hospital in Rawalpindi

The study objective to enhance treatment effectiveness by assessing risk factors, bacterial profiles, and antimicrobial susceptibility of uropathogens in pregnant women. During the period from March 2023 to August 2023, we examined 210 urine samples obtained frompregnant women. The samples were subjected to uropathogens isolation, identification and susceptibility testing against thirteen antibiotic classes using the Kirby Bauer disk diffusion method, following standard procedures, to identify uropathogens in cases of significant bacteriuria. In our study there is no significant link found between age, educational level, socioeconomic status, and parity in relation to UTI during pregnancy. In 42% of the samples with significant bacteriuria, Escherichia coli emerged as the predominant uropathogens, followed by Pseudomonas aeruginosa, Staphylococcus saprophyticus, and Klebsiella pneumoniae, in that order. E. coli displayed the greatest resistance to ciprofloxacin and ceftazidime, yet demonstrated high susceptibility to meropenem, imipenem, fosfomycin,and amikacin. Furthermore, a significant portion of K. pneumonia isolates exhibited resistance to ceftazidime and ciprofloxacin. For S. saprophytic, resistance was observed against penicillin and gentamicin, although they displayed 100% sensitivity to vancomycin and 81.2% sensitivity to Nitrofurantoin. The current study findings revealed that factors influencing pregnant women's UTI risk, include age, literacy, residence, multigravida, multipara, infection history, and trimester status. Access to clean water sources also played a role, highlighting the importance of addressing these variables in maternal health toreduce UTI incidence. Screening antenatal patients for UTIs is imperative, and it is advisable to conduct regular screenings for pregnant women. This practice helps monitor uropathogens sensitivity patterns and facilitates the development of antibiotic protocols based on local susceptibility data.