Korean J Nosocomial Infect Control.
2010 Jun;15(1):14-25.
Korean Nosocomial Infections Surveillance System, Intensive Care Unit Module Report: Data Summary from July 2008 through June 2009 and Analysis of 3-Year Results
- Affiliations
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- 1Department of Infections Diseases, Ilsan Paik Hospital, Inje University College of Medicine, Goyang, Korea.
- 2Department of Infections Diseases, Gil Hospital, Gacheon University, Incheon, Korea. euichong@snu.ac.kr
- 3Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
- 4Division of Infectious Diseases, Wonju Christian Hospital, Yonsei University Wonju College of Medicine, Wonju, Korea.
- 5Department of Infection Control, Severance Hospital, Seoul, Korea.
- 6Infection Control Office, Ajou University Hospital, Suwon, Korea.
- 7Division of Infectious Diseases and Infection Control Office, Mokdong Hospital, Ewha Womans University College of Medicine, Seoul, Korea.
- 8Department of Internal Medicine, Dongguk University Ilsan Hospital, Goyang, Korea.
- 9Division of Infectious Diseases, Konkuk University Hospital, Korea.
- 10Infection Control Office, Korea University Guro Hospital, Korea.
- 11Infection Control Office, Seoul St. Mary's Hospital, Seoul, Korea.
- 12Infection Control Office, Kwandong University College of Medicine Myongji Hospital, Goyang, Korea.
- 13Department of Preventive Medicine, Korea University College of Medicine, Korea.
- 14Division of Laboratory Medicine, Wonju Christian Hospital, Yonsei University Wonju College of Medicine, Wonju, Korea.
- 15Korea Centers for Disease Control and Prevention, Korea.
- 16Department of Laboratory Medicine, Seoul National University College of Medicine, Seoul, Korea. euichong@snu.ac.kr
Abstract
- BACKGROUND
In this report, we present the annual data of the intensive care unit (ICU) module of the Korean Nosocomial Infections Surveillance System (KONIS) from July 2008 through June 2009.
METHODS
We performed a prospective surveillance of nosocomial urinary tract infections (UTI), bloodstream infections (BSI), and pneumonia (PNEU) at 101 ICUs in 57 hospitals using KONIS. Nosocomial infection (NI) rates were calculated as the numbers of infections per 1,000 patient-days or device-days.
RESULTS
We identified 3,287 NIs during the study period: 1,787 UTIs (1,772 cases were urinary catheter-associated), 917 BSIs (797 were central line-associated), and 583 PNEUs (335 were ventilator-associated). The rate of urinary catheter-associated UTIs was 4.80 cases per 1,000 device-days (95% confidence interval, 4.58-5.03) and urinary catheter utilization ratio was 0.85 (0.849-0.851). Although the urinary catheter utilization ratios were lower in the hospitals with 400-699 beds than in the hospitals with 700-899 beds and more than 900 beds, the rates of urinary catheter-associated UTIs were higher in hospitals with 400-699 beds than in the larger ones. The rate of central line-associated BSIs was 3.27 (3.05-3.51) and the utilization ratio was 0.56 (0.559-0.561). The rate of ventilator-associated PNEUs was 1.86 (1.67-2.07) and the utilization ratio was 0.41 (0.409-0.411). The rate of ventilator-associated PNEUs was lower in July 2008-June 2009 than in July 2007-June 2008 and July 2006-December 2006.
CONCLUSION
It appears that the KONIS influences the reduction in the rate of device-associated infections, especially ventilator-associated PNEU; therefore, ongoing targeted surveillance and infection control strategies are needed to control device-associated infections.
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