Antimicrobial resistance profiles among uropathogens: a judicious selection of antibiotics to minimize antimicrobial resistance (amr) assists the clinician

Introduction: Urinary tract infections (UTIs) are a significant health concern, necessitating accurate identification of causative agents and their antimicrobial susceptibility patterns for effective treatment. Antibiotic resistance among uropathogens threaten to greatly increase the economic burdenof these infections1,6 The emergence of antimicrobial resistance (AMR) among uropathogens has become a global concern, leading to limited treatment options and increased healthcare costs. This study aimed to investigate the antimicrobial resistance profiles of uropathogens and emphasize the importance of judicious antibiotic selection to minimize AMR and assist clinicians in effective treatment decisions. Most common organisms isolated causing UTI in present study were Escherichia coli, Klebsiella pneumonia, Pseudomonas aeruginosa, and Enterococcus faecalis. Objective: The objective of this study was to identify the most frequently involved pathogen in the causation of urinary tract infections (UTIs) in patients, determine the common causative agents, and assess their antimicrobial susceptibility patterns. Methodology: This retrospective study was conducted at Healthians Lab, Gurugram, India, to determine the common causative agents and antimicrobial susceptibility patterns of UTIs using microbiologic laboratory data from urine culture samples tested over a one-year period. Bacterial identification and antibiotic sensitivity is done by automated system BD phoenix. The minimal inhibitory concentration (MIC) of each antibiotic was determined and judged to be susceptible, intermediate, or resistant following the breakpoints of Clinical and Laboratory Institute (CLSI). Conclusion: The study provides important data on the most commonly isolated organisms from urine samples. The analysis and comparison of the antimicrobial susceptibility patterns of these organisms provide valuable insights for clinicians. Based on this information, they can choose the most appropriate empirical treatment options for UTIs.