Intensive Care Medicine

, Volume 29, Issue 7, pp 1077–1080

Risk factors of nosocomial catheter-associated urinary tract infection in a polyvalent intensive care unit

  • Marc Leone
  • Jacques Albanèse
  • Franck Garnier
  • Christophe Sapin
  • Karine Barrau
  • Marie-Christine Bimar
  • Claude Martin
Original

DOI: 10.1007/s00134-003-1767-2

Cite this article as:
Leone, M., Albanèse, J., Garnier, F. et al. Intensive Care Med (2003) 29: 1077. doi:10.1007/s00134-003-1767-2

Abstract

Objective

To determine the risk factors for catheter-associated urinary tract infection in a polyvalent intensive care unit (ICU).

Design

Prospective cohort study.

Setting

Sixteen-bed polyvalent ICU in a French university hospital.

Interventions

Prospective patient surveillance of patients included in two successive studies of two urine drainage systems.

Main outcome measures

Bacteriuria occurrence in 553 ICU patients requiring a bladder catheter for longer than 48 h. The following variables were analyzed as possible risk factors: age, sex, severity score at admission, diagnosis on admission, duration of bladder catheterization, length of ICU stay, prior exposure to antibiotics, and system of urine drainage.

Results

The frequency of catheter-associated bacteriuria was 9.6%. From the multivariate analysis, five independent risk factors were determined: female sex, length of ICU stay, use of an antimicrobial therapy, severity score at admission, and duration of catheterization.

Conclusion

In our study, the drainage system did not influence the occurrence of bacteriuria. To decrease the rate of catheter-associated bacteriuria in polyvalent ICU patients, removal of the bladder catheter must be performed as soon as possible.

Keywords

Catheter-associated urinary tract infection Bacteriuria Risk factor Intensive care unit 

Copyright information

© Springer-Verlag 2003

Authors and Affiliations

  • Marc Leone
    • 1
  • Jacques Albanèse
    • 1
  • Franck Garnier
    • 1
  • Christophe Sapin
    • 2
  • Karine Barrau
    • 2
  • Marie-Christine Bimar
    • 1
  • Claude Martin
    • 1
  1. 1.Intensive Care Unit and Trauma CenterNord Hospital AP-HMMarseilleFrance
  2. 2.Laboratory of Epidemiology and StatisticsMarseilles University Hospital System, Marseilles School of MedicineMarseillesFrance

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