Within State Variability of Antimicrobial Susceptibility: Missouri as an Archetype to Assess Guidelines for Antimicrobial Prophylaxis for Transurethral Procedures

To evaluate variability among hospitals in susceptibility of common uropathogens to antimicrobial agents frequently used in transurethral procedures in order to examine whether state-based guidelines might be more appropriate than national prophylactic guidelines. Hospital-level antibiograms were requested from all hospitals throughout the state of Missouri. We studied Escherichia coli, Klebsiella, and Proteus sensitivities to evaluate common guideline recommended antimicrobials including trimethoprim sulfamethoxazole (TMP-SMX), third-generation cephalosporins, cefazolin, penicillin combinations, gentamicin, and fluoroquinolones. We evaluated variability and association between hospital characteristics and antimicrobial sensitivities. Data was requested from 81 hospitals across the state and 38 provided the requested data (47% response rate). Susceptibility was highest for third-generation cephalosporins for E. coli (mean of 94%), Proteus (96%), and Klebsiella (96%). Gentamicin also had high susceptibility for the bacteria studied; 94% for E. coli and 96% for Klebsiella. Current first line recommended agents showed more modest coverage for E. coli (cefazolin 84%, TMP-SMX 78%), Proteus (cefazolin 82%, TMP-SMX 71%), and Klebsiella (cefazolin 90%, TMP-SMX 89%). Post transurethral procedure infections are common. Rates can be limited with appropriate prophylaxis. Deciding on empirical coverage must take into account local resistance patterns. There is substantial variability among and within states in antimicrobial susceptibility for common uropathogens. When selecting antimicrobial prophylaxis, urologists should consider local- rather than state- or nation-level antibiograms, given the considerable variability. Future studies should consider the merits of very-broad spectrum prophylaxis and the potential role of molecular urinary pathogen (and pathogen-resistance) testing when selecting an optimal regimen.