Osteoarticular Infections in MIMIC-IV, A Clinical and Microbiological Analysis.

Osteoarticular infections (OAIs) remain challenging, particularly in the context of rising antimicrobial resistance. Using the MIMIC-IV database, this study applies a structured informatics workflow to characterize inflammatory marker (IM) ordering patterns, comorbidity-specific infection risks, and the identification of multidrug-resistant organisms (MDROs). Findings highlight overuse of white blood cell (WBC) counts and distinct pathogen profiles across comorbidity groups. Immune deficiency and diabetes were associated with higher infection rates, while sickle cell disease did not increase OAI prevalence. The results could inform diagnostic and therapeutic decision support tools.