Validating administrative data to identify complex surgical site infections following cardiac implantable electronic device implantation: a comparison of traditional methods and machine learning.

Journal: Antimicrobial resistance and infection control
PMID: 36357948

Abstract

BACKGROUND: Cardiac implantable electronic device (CIED) surgical site infections (SSIs) have been outpacing the increases in implantation of these devices. While traditional surveillance of these SSIs by infection prevention and control would likely be the most accurate, this is not practical in many centers where resources are constrained. Therefore, we explored the validity of administrative data at identifying these SSIs.

Authors

  • Elissa Rennert-May
    Department of Medicine, University of Calgary, Calgary, AB, Canada. elissa.rennertmay@ucalgary.ca.
  • Jenine Leal
    Department of Community Health Sciences, University of Calgary, Calgary, AB, Canada.
  • Matthew K MacDonald
    Libin Cardiovascular Institute, University of Calgary, Calgary, AB, Canada.
  • Kristine Cannon
    Infection Prevention and Control, Alberta Health Services, Calgary, AB, Canada.
  • Stephanie Smith
    Department of Medicine, University of Alberta, Edmonton, AB, Canada.
  • Derek Exner
    Libin Cardiovascular Institute, University of Calgary, Calgary, AB, Canada.
  • Oscar E Larios
    Department of Medicine, University of Calgary, Calgary, AB, Canada.
  • Kathryn Bush
    Infection Prevention and Control, Alberta Health Services, Calgary, AB, Canada.
  • Derek Chew
    Department of Medicine, University of Calgary, Calgary, AB, Canada.

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