Risk factors and outcomes of surgical site infection in children

Brian T Bucher1, Rebecca M Guth, Alexis M Elward

  • 1Division of Pediatric Surgery, St Louis Children's Hospital, Washington University School of Medicine, St Louis, MO, USA.

Insights

Surgical site infections (SSI) in children are predicted by factors like age, race, and postoperative location. Modifiable risks include urinary catheter use and implantable devices, highlighting areas for infection prevention strategies in pediatric surgery.

Area of Science:

  • Pediatric Surgery
  • Infectious Disease Epidemiology
  • Healthcare Quality Improvement

Background:

  • Surgical site infection (SSI) prediction indices are established for adults but lack validation in pediatric populations.
  • Understanding pediatric-specific risk factors is crucial for effective SSI prevention strategies.

Purpose of the Study:

  • To identify and validate risk factors for surgical site infections (SSI) in pediatric patients.
  • To develop a predictive model for SSI in children undergoing specific surgical procedures.

Main Methods:

  • Retrospective case-control study of 16,031 children (0-18 years) who underwent class I and II procedures.
  • Medical records were analyzed for SSI development within 30 days, with two controls per case.
  • Logistic regression modeling was used to identify independent predictors of SSI.

Main Results:

  • The overall SSI rate was 0.99% (159 children).
  • Independent predictors of SSI included younger age (neonate vs. adolescent), African American race, postoperative intensive care unit (ICU) location, urinary catheter placement, and use of an implantable device.
  • Factors like wound classification and antibiotic administration were not independent predictors.

Conclusions:

  • Postoperative location, urinary catheter insertion, and implantable devices are modifiable risk factors for pediatric SSI.
  • Younger age and non-white race may indicate impaired host defense, suggesting potential developmental, socioeconomic, or genetic influences.
  • These findings can inform targeted interventions to reduce SSI rates in children.
Abstract

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