Bacterial Profile and Antimicrobial Susceptibility Patterns in Diabetic Foot Ulcers: A Cross‑Sectional Study in Bangladesh

Introduction Diabetic foot ulcers (DFUs) are a significant cause of amputation and mortality in low‑ and middle‑income countries. However, Bangladeshi data on the bacterial spectrum and antimicrobial susceptibility patterns remain scarce. Methods In a cross‑sectional study at Chattogram Diabetic General Hospital, Bangladesh, 106 adults with DFUs provided deep tissue specimens as per grading for aerobic culture. Bacterial isolates were identified by standard methods and tested against 16 antibiotics according to Clinical and Laboratory Standards Institute (CLSI) disc diffusion guidelines. Clinical and sociodemographic data were summarised descriptively; resistance patterns were visualised using heat‑map clustering. Results Culture was positive in 81.1% (86/106) of participants. Across all participants, <i>Staphylococcus aureus </i>(<i>S. aureus</i>) and <i>Escherichia coli </i>(<i>E. coli</i>) were co‑dominant (each 26.4%, 28/106), followed by <i>Klebsiella pneumoniae </i>(<i>K. pneumoniae</i>) and <i>Enterococcus </i>species (spp.) (each 11.3%, 12/106), and <i>Pseudomonas aeruginosa </i>(<i>P. aeruginosa</i>) (9.4%, 10/106); polymicrobial infection was 3.8% (4/106). Resistance was widespread. In the Gram‑positive panel, erythromycin showed the highest resistance (<i>S. aureus</i> 92.9%; <i>Enterococcus </i>spp.<i> </i>83.3%), with ampicillin/vancomycin/linezolid also high. In the Gram-negative panel, ampicillin, ciprofloxacin and cefuroxime carried heavy resistance burdens (reaching 100% in <i>P. aeruginosa</i>). By contrast, resistance to piperacillin-tazobactam and imipenem was low in <i>E. coli</i> (10.7% and 14.3%, respectively); in <i>K. pneumoniae</i> it was higher for piperacillin-tazobactam than imipenem (41.7% vs 16.7%); and in <i>P. aeruginosa</i> the pattern was reversed, with 10.0% resistant to piperacillin-tazobactam and 40.0% resistant to imipenem. Tigecycline retained 0% resistance across all taxa. Row‑wise clustering separated high‑ from lower‑resistance drug groups, making organism‑specific patterns immediately interpretable. Conclusion Gram‑negative organisms were more frequent overall, and resistance to several commonly used β‑lactams and fluoroquinolones was high. Tigecycline showed the best preserved activity. Empirical treatment should be guided by local data, prioritise agents with retained activity against both Gram‑positive and Gram‑negative pathogens, and be promptly narrowed once susceptibilities are available. Continued local surveillance and strong antimicrobial stewardship are essential to limit further resistance.