Risk factors for nosocomial urinary tract-related bacteremia: a case-control study

Am J Infect Control. 2006 Sep;34(7):401-7. doi: 10.1016/j.ajic.2006.03.001.

Abstract

Background: Risk factors for bacteremia in patients with hospital-acquired bacteriuria are largely unknown. Given the morbidity and costs associated with nosocomial bacteremia, determining risk factors could enhance the safety of hospitalized patients.

Methods: We conducted a case-control study within the Veterans Affairs Puget Sound Health Care System. A patient hospitalized between 1984 and 1999 from whom a urine culture and a blood culture grew the same organism > or =48 hours after admission was considered a case. Control patients were those with significant bacteriuria detected > or =48 hours after admission who did not have a positive blood culture. We used logistic regression to determine independent risk factors for bacteremia.

Results: There were 95 cases and 142 controls. Independent, statistically significant predictors of bacteremia included immunosuppressant therapy within 14 days of bacteriuria (odds ratio [OR], 8.13); history of malignancy (OR, 1.94); male sex (OR, 1.88); cigarette use in the past 5 years (OR, 1.26); number of hospital days before bacteriuria (OR, 1.03); and antibiotic use within 3 days of bacteriuria (OR, 0.76). Corticosteroid use within 7 days of bacteriuria predicted bacteremia in patients <70 years old (OR, 14.24). Similarly, patients <70 years old were more likely to develop bacteremia if they had diabetes mellitus (OR, 6.19).

Conclusion: Delineating risk factors for nosocomial urinary tract-related bacteremia can help target appropriate preventive practices at the highest risk patients.

Publication types

  • Research Support, U.S. Gov't, Non-P.H.S.
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Bacteremia / etiology*
  • Bacteremia / microbiology
  • Case-Control Studies
  • Cross Infection / microbiology*
  • Female
  • Hospitals, Veterans
  • Humans
  • Logistic Models
  • Male
  • Middle Aged
  • ROC Curve
  • Retrospective Studies
  • Risk Factors
  • Urinary Tract Infections / complications
  • Urinary Tract Infections / microbiology*