Tehran University of Medical Sciences Iranian Journal of Microbiology 2008-3289 18 4 2026 08 04 518 532 Mohammed Chishti Department of Microbiology, Sher-i-Kashmir Institute of Medical Sciences, SKIMS Deemed University, Soura, Srinagar, Jammu & Kashmir, India Amir Malik Department of Microbiology, Sher-i-Kashmir Institute of Medical Sciences, SKIMS Deemed University, Soura, Srinagar, Jammu & Kashmir, India Gulnaz Bashir Department of Microbiology, Sher-i-Kashmir Institute of Medical Sciences, SKIMS Deemed University, Soura, Srinagar, Jammu & Kashmir, India Irfan Ahangar Department of Microbiology, Sher-i-Kashmir Institute of Medical Sciences, SKIMS Deemed University, Soura, Srinagar, Jammu & Kashmir, India 2025 10 19 2026 06 13 Background and Objectives: Pseudomonas aeruginosa is a major nosocomial pathogen implicated in a wide range of hospital-acquired infections. Prompt detection and effective control of outbreaks caused by this organism are essential to minimize associated morbidity and mortality. Multiple strains may circulate within healthcare settings due to cross-transmission and persistent environmental reservoirs. Various molecular typing techniques have proven valuable in tracing the sources and transmission dynamics of outbreaks. The present study aimed to investigate the antibiogram profiles and enterobacterial repetitive intergenic consensus–polymerase chain reaction (ERIC-PCR) patterns of P. aeruginosa isolates recovered from non-respiratory clinical samples at a tertiary care hospital. Materials and Methods: A total of 157 clinical isolates phenotypically identified as P. aeruginosa were subjected to 16S rDNA-PCR for species confirmation. Among these, 150 isolates were confirmed as P. aeruginosa and subsequently analysed for antimicrobial susceptibility and molecular typing. Antimicrobial susceptibility testing was performed according to Clinical and Laboratory Standards Institute (CLSI) guidelines. Molecular typing was carried out using ERIC-PCR. The resulting ERIC-PCR profiles were analysed using PAST version 4.03 software, and a dendrogram was constructed based on Dice similarity coefficients to assess genetic relatedness among isolates. Fisher’s exact test was employed to determine associations between specific ERIC types and antibiotic resistance profiles. Results: Overall, 84% of the P. aeruginosa isolates were identified as multidrug-resistant (MDR), with widespread distribution among both inpatients and outpatients. The highest resistance rate was observed against ticarcillin/clavulanic acid, followed by ceftazidime, whereas no resistance was detected against colistin sulphate. A total of 54 distinct antibiotypes were identified, indicating substantial variability in antimicrobial resistance patterns. All 150 isolates were successfully typed using ERIC-PCR, which revealed 41 distinct clusters at an approximate similarity coefficient of 70%, demonstrating considerable genetic diversity among the isolates. Conclusion: This study enhances the understanding of the epidemiology of P. aeruginosa infections in healthcare settings by characterizing both the molecular diversity and antimicrobial resistance patterns of clinical isolates. The high prevalence of MDR strains and the circulation of multiple genetically diverse strains among hospital patients highlight the ongoing risk of transmission within the healthcare environment. Notably, the findings suggest a comparatively higher rate of cross-infection among burn patients. These observations underscore the urgent need for stringent infection prevention and control measures, particularly in burn units, to limit the spread of MDR P. aeruginosa. https://ijm.tums.ac.ir/index.php/ijm/article/view/5871 https://ijm.tums.ac.ir/index.php/ijm/article/download/5871/1912