IJSR International Journal of Scientific Research 2277 - 8179 Indian Society for Health and Advanced Research ijsr-9-4-24961 Original Research Paper A study of etiological agents causing urinary tract infection in Diabetic or Non-Diabetic patients in north India. Dr. Bhawani Shankar Verma Dr. April 2020 9 4 01 02 ABSTRACT

Background: Burden of the urinary tract infections (UTIs) is common in both diabetic and non diabetic patients. Since the types of microorganisms causing UTI different in their susceptibility to antimicrobials from place to place and time to time, hence constant screening of trends and susceptibility pattern of predominant organisms against antimicrobials is essential. Methods: A prospective cross sectional study was conducted during period of January 2019 to June 2019. Among 375 isolates from Urine culture in UTI patients with Diabetic and Non–diabetic attending NIMS Hospital, Jaipur Rajasthan. All samples and isolates were investigated by standard laboratory procedures. Result: A total number of 375 isolates from Urine culture in UTI patients with Diabetic and Non–diabetic were analyzed. Among the samples, males 145 (38.67%) were 89(39.73%) & 56(37.08%) and females 230 (61.33%) were 135(60.27%) & 95(62.92%), diabetic and non diabetic patients respectively. Escherichia coli was the most frequent organism followed by Pseudomonas spp. Meropenem was found to be highly sensitive to Gram–Negative Bacilli isolated patients antimicrobials followed by Imipenem, and Nitrofurantoin. Vancomycin and Linezolid were the most sensitive drugs to Gram–positive cocci isolated patients antimicrobials followed by Nitrofurantoin and Teicoplanin. Penicillin was the most sensitive drugs to Enterococcus spp. However, no difference was noted on the sensitivity pattern of the antimicrobials among Escherichia coli isolated between diabetic and non diabetic patients. Conclusion: The significance of the study lies in the determination of common pathogens in diabetic and non diabetic patients with UTI and the susceptibility pattern of antibiotics