Korean J Nosocomial Infect Control.
2012 Jun;17(1):28-39.
Korean Nosocomial Infections Surveillance System, Intensive Care Unit Module Report: Data Summary from July 2010 through June 2011
- Affiliations
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- 1Division of Infectious Diseases, Soonchunhyang University College of Medicine, Cheonan, Korea.
- 2Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
- 3Infection Control Office, Korea University Guro Hospital, Seoul, Korea.
- 4Infection Control Department, Kyung Hee University Hospital, Seoul, Korea.
- 5Infection Prevention and Control Team, Soonchunhyang University Bucheon Hospital, Bucheon, Korea.
- 6Division of Infectious Diseases, Seoul Metropolitan Boramae Hospital, Seoul, Korea.
- 7Department of Infection Control, Severance Hospital, Seoul, Korea.
- 8Infection Control Office, Ewha Womans University Mokdong Hospital, Seoul, Korea.
- 9Division of Infectious Diseases, Hallym University College of Medicine, Kangdong Sacred Heart Hospital, Seoul, Korea.
- 10Division of Infectious Diseases, Yonsei University Wonju College of Medicine, Wonju Christian Hospital, Wonju, Korea.
- 11Department of General Surgery, Kyung Hee University School of Medicine, Seoul, Korea.
- 12Department of Internal Medicine, Ewha Womans University School of Medicine, Seoul, Korea.
- 13Department of Nursing, Semyung University, Jecheon, Korea.
- 14Department of Preventive Medicine, School of Public Health, Seoul National University, Seoul, Korea.
- 15Department of Laboratory Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea.
- 16Korea Centers for Disease Control and Prevention, Cheongwon-gun, Korea.
- 17Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea. thanks1126@paran.com
Abstract
- BACKGROUND
We present here the annual data of the intensive care unit (ICU) module of the Korean Nosocomial Infections Surveillance System (KONIS) from July 2010 through June 2011.
METHODS
We performed a prospective surveillance of nosocomial urinary tract infections (UTI), bloodstream infections (BSI), and pneumonia (PNEU) at 130 ICUs in 72 hospitals using KONIS. Nosocomial infection (NI) rates were calculated as the number of infections per 1,000 patient-days or device-days.
RESULTS
A total of 3,757 NIs were found: 1,978 UTIs (1,949 cases were urinary catheter-associated), 1,092 BSIs (with 932 being central line-associated), and 687 PNEUs (410 were ventilator-associated). The rate of urinary catheter-associated UTIs (CAUTIs) was 3.87 cases per 1,000 device-days (95% confidence interval, 3.70-4.05), and the urinary catheter utilization ratio was 0.86 (0.859-0.861). The rate of central line-associated BSIs was 3.01 per 1,000 device-days (2.82-3.21), and the utilization ratio was 0.53 (0.529-0.531). The rate of ventilator-associated PNEUs (VAPs) was 1.75 per 1,000 device-days (1.59-1.93), and the utilization ratio was 0.40 (0.399-0.401). Although both the ventilator utilization ratiosand the urinary catheter utilization ratios were lower in hospitals with 400-699 beds than thosein hospitals with 700-899 beds ormore than 900 beds, the rates of VAPsand CAUTIs were higher in hospitals with 400-699 beds than thosein hospitals with 700-899 beds or more than 900 beds.
CONCLUSION
The risk of acquiring VAP and CAUTI is higher in the ICUs of 400-699 bed hospitals than in ICUs oflarger hospitals. Therefore, ongoing targeted surveillance and implementation of proven infection control strategies are needed especially for hospitals having fewer than 700 beds.
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