Surgical site infections: might a longer locally defined T time affect the benchmarking?

Am J Infect Control. 2007 Nov;35(9):582-4. doi: 10.1016/j.ajic.2007.01.004.

Abstract

Background: A local surgical site infection surveillance system (LS System) was established in 1998 at our teaching hospital. The aims of this article were to compare locally defined cut-points with the NNIS System T times, and to evaluate the effectiveness of different cut-points in identifying procedures at high risk for infection.

Methods: The LS System T times were compared to those reported by the NNIS System. Procedures and surgical site infections (SSIs) were stratified according to two infection risk index (IRI) scores calculated by using the two cut-points. The effectiveness of the two IRI scores in predicting SSIs was assessed by receiver operating characteristic (ROC) analysis.

Results: We have found a longer T time in three procedures categories compared to those reported by the NNIS System (GAST, OGIT, and XLAP). The LS System risk index predicted SSIs better than did the NNIS System risk index only in other digestive category, with areas under ROC curve: being, respectively of 71.1% (95% CI, 60.9, 81.3) and 63.1% (95% CI, 54.0, 72.2).

Conclusions: The use of the NNIS System T time is suitable in our local SSI surveillance system because it does not significantly affect the benchmarking.

MeSH terms

  • Benchmarking* / methods
  • Benchmarking* / statistics & numerical data
  • Digestive System Surgical Procedures / statistics & numerical data*
  • Humans
  • Infection Control / methods
  • Laparotomy / statistics & numerical data*
  • Retrospective Studies
  • Risk Assessment / methods
  • Sentinel Surveillance
  • Surgical Wound Infection / epidemiology
  • Surgical Wound Infection / prevention & control*
  • Time Factors