Korean J healthc assoc Infect Control Prev.  2018 Dec;23(2):25-38. 10.14192/kjhaicp.2018.23.2.25.

Korean National Healthcare-associated Infections Surveillance System, Intensive Care Unit Module Report: Summary of Data from July 2016 through June 2017

Affiliations
  • 1Department of Internal Medicine, Inje University Ilsan Paik Hospital, Goyang, Korea.
  • 2Department of Infectious Diseases, Ajou University School of Medicine, Suwon, Korea. yhwa1805@ajou.ac.kr
  • 3Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea.
  • 4Infection Control Office, Inje University Sanggye Paik Hospital, Seoul, Korea.
  • 5Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • 6Department of Internal Medicine, Seoul National University College of Medicine, Seoul Korea.,.
  • 7Department of Nursing, Soonchunhyang University College of Medicine, Cheonan, Korea.
  • 8Department of Internal Medicine, Kyung Hee University School of Medicine, Seoul, Korea.
  • 9Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea.
  • 10Infection Control Office, Korea University Guro Hospital, Seoul, Korea.
  • 11Department of Internal Medicine, Soonchunhyang University College of Medicine, Seoul, Korea.
  • 12Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.
  • 13Infection Control Office, The Catholic University of Korea St. Vincent's Hospital, Suwon, Korea.
  • 14Department of Pediatrics, Eulji University School of Medicin, Seoul, Korea.
  • 15Infection Control Office, Seoul National University Bundang Hospital, Seongnam, Korea.
  • 16Infection Control Team, Chungang University Hospital, Seoul, Korea.
  • 17Division of Infectious Disease Control, Korea Centers for Disease Control and Prevention, Osong, Korea.
  • 18Department of Laboratory Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea.

Abstract

BACKGROUND
In this report, we present the annual data of the intensive care unit (ICU) module of the Korean National Healthcare-associated Infections Surveillance System (KONIS) from July 2016 through June 2017.
METHODS
We performed a prospective surveillance of healthcare-associated urinary tract infection (UTI), bloodstream infection (BSI), and pneumonia (PNEU) at 285 ICUs in 193 hospitals using KONIS surveillance system. Healthcare-associated infection (HAI) and device-associated infection rates were calculated as the numbers of infections per 1,000 patient-days (PD) and device-days (DD), respectively. Device utilization was calculated as a ratio of device days to patient days.
RESULTS
A total of 3,989 HAIs were found during the study period; 1,241 UTIs (1,189 cases were urinary catheter-associated), 1,757 BSIs (1,481 were central line-associated), and 991 PNEUs (480 were ventilator-associated). The rate of urinary catheter-associated UTIs (CAUTI) was 1.01 cases per 1,000 DD (95% confidence interval [CI], 0.95-1.07) and urinary catheter utilization ratio was 0.85 (95% CI, 0.849-0.851). These were higher than the data of the previous year, 0.88/1,000 DD (95% CI, 0.825-0.95) and 0.84 (95% CI 0.8395-0.841), respectively. The rate of central line-associated BSIs was 2.23/1,000 DD (95% CI, 2.12-2.35) while the central line utilization ratio was 0.48 (95% CI, 0.479-0.481). The rate of ventilator-associated PNEUs was 1.00/1,000 DD (95% CI, 0.91-1.09) while the ventilator utilization ratio was 0.35 (95% CI, 0.349-0.351).
CONCLUSION
The overall HAI rate was similar to that of the previous year but the rate of CAUTI increased.

Keyword

Healthcare-associated Infection; Intensive care unit; Korean National Healthcare-associated Infections Surveillance System (KONIS)

MeSH Terms

Critical Care*
Humans
Intensive Care Units*
Pneumonia
Prospective Studies
Urinary Catheters
Urinary Tract Infections
Ventilators, Mechanical
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