Bacterial Profile of Urinary Tract Infection and Antimicrobial Susceptibility Pattern among the Patients attending a Tertiary Care Centre

Background: Urinary tract infection is a common contagion among men and women. Antimicrobial resistance complicates treatment. The identification of uropathogens and their resistance patterns are essential for effective management and prevention in tertiary care settings. Methods: Urine samples were collected from OPD & IPD patients at tertiary care facilities and processed in the Bacteriology Laboratory, Department of Microbiology, NIMS&R, Jaipur. Results: The majority of the urine isolates came from patients who were aged 21 – 40 years (36.73%) followed by above 60 Years (29.59%), 41 – 60 (23.46%) and Below 20 years (10.20%). In this study gram-negative organism, Escherichia coli (46.93%) was the predominant isolate from patients with urinary tract infection followed by Klebsiella spp. (18.36%), Pseudomonas (15.30%), Acinetobacter (3.06%), and Proteus (1.02%) however Gram positive organisms are Staphylococcus aureus(12.24%) and Enterococcus (3.06%) it is observed that highest resistance against Ampicillin was observed in Gram positive and Gram negative isolates except Pseudomonas followed by Cephalosporins and Aminoglycosides while highest sensitive antimicrobials in Gram positive isolates were Vancomycin, Tetracyclines and Fluoroquinolones and in Gram negative lactose fermeters colistin (78%), followed by Fosfomycin (78%) and Amikacin (73%) however Carbapenems, Ciprofloxacin and Fosfomycin against gram-negative non lactose fermeter bacterial isolates. Conclusions: This study found that bacterial isolates are resistance to commonly used antibiotics for treating UTI. With Gram-negative bacteria being more common (84.7%) than Gram- positive (15.30%). This study emphasizes the periodic monitoring of causative agents of UTI and their resistance pattern in a given locality to determine, the bacterial uropathogens and their antimicrobial susceptibility patterns among patients of UTI and rational antibiotic policy for early diagnosis and better management of urinary tract infections.