Ability of an antibiogram to predict Pseudomonas aeruginosa susceptibility to targeted antimicrobials based on hospital day of isolation.

Published

Journal Article

OBJECTIVE: To determine the utility of an antibiogram in predicting the susceptibility of Pseudomonas aeruginosa isolates to targeted antimicrobial agents based on the day of hospitalization the specimen was collected. DESIGN: Single-center retrospective cohort study. SETTING: A 750-bed tertiary care medical center. PATIENTS AND METHODS: Isolates from consecutive patients with at least 1 clinical culture positive for P. aeruginosa from January 1, 2000, to June 30, 2007, were included. A study antibiogram was created by determining the overall percentages of P. aeruginosa isolates susceptible to amikacin, ceftazidime, ciprofloxacin, gentamicin, imipenem-cilastin, piperacillin-tazobactam, and tobramycin during the study period. Individual logistic regression models were created to determine the day of infection after which the study antibiogram no longer predicted susceptibility to each antibiotic. RESULTS: A total of 3,393 isolates were included. The antibiogram became unreliable as a predictor of susceptibility to ceftazidime, imipenem-cilastin, piperacillin-tazobactam, and tobramycin after day 10 and ciprofloxacin after day 15 but longer for gentamicin (day 21) and amikacin (day 28). Time to unreliability of the antibiogram varied for antibiotics based on location of isolation. For example, the time to unreliability of the antibiogram for ceftazidime was 5 days (95% confidence interval [CI], <1-8) in the intensive care unit (ICU) and 12 days (95% CI, 7-21) in non-ICU hospital wards (P = .003). CONCLUSIONS: The ability of the antibiogram to predict susceptibility of P. aeruginosa decreases as duration of hospitalization increases.

Full Text

Duke Authors

Cited Authors

  • Anderson, DJ; Miller, B; Marfatia, R; Drew, R

Published Date

  • June 2012

Published In

Volume / Issue

  • 33 / 6

Start / End Page

  • 589 - 593

PubMed ID

  • 22561714

Pubmed Central ID

  • 22561714

Electronic International Standard Serial Number (EISSN)

  • 1559-6834

Digital Object Identifier (DOI)

  • 10.1086/665721

Language

  • eng

Conference Location

  • United States