Risk factors for leg harvest surgical site infections after coronary artery bypass graft surgery

Margaret A Olsen1, Thoralf M Sundt, Jennifer S Lawton

  • 1Washington University School of Medicine, Division of Infectious Diseases, 660 South Euclid Ave, Campus Box 8051, St Louis, MO 63110-1093, USA. molsen@im.wustl.edu

Insights

Leg harvest site infections after coronary artery bypass surgery are common. Risk factors include previous stroke, obesity, older age, female gender, and transfusions, impacting hospital stay and readmission.

Area of Science:

  • Cardiovascular Surgery
  • Infectious Disease Epidemiology
  • Health Informatics

Background:

  • Leg harvest site infections are a significant concern following coronary artery bypass surgery (CABS).
  • Limited research exists on the specific risk factors for these infections.
  • Understanding these predictors is crucial for patient management and prevention strategies.

Purpose of the Study:

  • To identify independent risk factors for leg harvest site infections after CABS.
  • To utilize the institutional Society of Thoracic Surgeons database for this analysis.

Main Methods:

  • Retrospective analysis of 1980 CABS patients from January 1996 to June 1999.
  • Data sourced from The Society of Thoracic Surgeons database.
  • Multivariate logistic regression employed to determine independent risk factors.

Main Results:

  • 4.5% of patients developed leg harvest site infections (67 confirmed).
  • Infected patients had longer hospital stays (10.1 vs. 7.1 days) and higher readmission rates.
  • Independent risk factors identified: previous cerebrovascular accident (OR 2.9), >=5 units RBC transfusion (OR 2.8), obesity (OR 2.5), age >=75 (OR 1.9), and female gender (OR 1.8).

Conclusions:

  • Confirms obesity and female gender as risk factors for leg harvest site infection.
  • Newly identified risk factors include previous cerebrovascular accident, significant red blood cell transfusion, and advanced age.
  • The Society of Thoracic Surgeons database is valuable for identifying infection predictors.
Abstract