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 2013 through June 2014.
Methods
We performed a prospective surveillance of nosocomial urinary tract infections (UTIs), bloodstream infections (BSIs), and pneumonia (PNEU) in 166 ICUs of 94 hospitals using the KONIS. Nosocomial infection (NI) rate was defined as the number of infections per 1,000 patient-days or device-days.
Results
A total of 2,843 NIs were found during the study period: 861 UTIs (846 were urinary catheter-associated), 1,173 BSIs (1,021 were central line-associated), and 809 PNEUs (498 were ventilator-associated). The rate of urinary catheter-associated UTIs was 1.21 per 1,000 device-days (95% confidence interval [CI]=1.13-1.29), and the urinary catheter utilization ratio was 0.84 (95% CI=0.839-0.841). The rate of central line-associated BSIs was 2.33 per 1,000 device-days (95% CI=2.20-2.48), and the utilization ratio was 0.53 (95% CI=0.529-0.531). The rate of ventilator-associated PNEUs (VAPs) was 1.46 per 1,000 device-days (95% CI=1.34-1.60), and the utilization ratio was 0.41 (95% CI=0.409-0.411). In hospitals with more than 900 beds, although the ventilator utilization ratio was highest, the rate of VAPs was lower than in hospitals with 300-699 or 700-899 beds.
References
2. Gastmeier P, Geffers C, Brandt C, Zuschneid I, Sohr D, Schwab F, et al. Effectiveness of a nationwide nosocomial infection surveillance system for reducing nosocomial infections. J Hosp Infect. 2006; 64:16–22.
3. Haley RW, Culver DH, White JW, Morgan WM, Emori TG, Munn VP, et al. The efficacy of infection surveillance and control programs in preventing nosocomial infections in US hospitals. Am J Epidemiol. 1985; 121:182–205.
4. Schwab F, Geffers C, Bärwolff S, Rüden H, Gastmeier P. Reducing neonatal nosocomial bloodstream infections through participation in a national surveillance system. J Hosp Infect. 2007; 65:319–25.
5. Kwak YG, Lee SO, Kim HY, Kim YK, Park ES, Jin HY; Korean Nosocomial Infections Surveillance System (KONIS). . Risk factors for device-associated infection related to organisational characteristics of intensive care units: findings from the Korean Nosocomial Infections Surveillance System. J Hosp Infect. 2010; 75:195–9.
6. Horan TC, Andrus M, Dudeck MA. CDC/NHSN surveillance definition of health care-associated infection and criteria for specific types of infections in the acute care setting. Am J Infect Control. 2008; 36:309–32.
7. Korean Society for Nosocomial Infection Control.Korean Nosocomial Infections Surveillance Manual 2008. 2nd ed. Seoul; Gold. 2008.
8. Korean Society for Nosocomial Infection Control.Korean Nosocomial Infections Surveillance Manual 2012. 4th ed. Seoul; Gold. 2012.
9. Jeon MH, Park WB, Kim SR, Chun HK, Han SH, Bang JH. . Korean Nosocomial Infections Surveillance System, Intensive Care Unit Module Report: Data Summary from July 2010 through June 2011. Korean J Nosocomial Infect Control. 2012; 17:28–39.
10. Jeon MH, Kim TH, Kim SR, Chun HK, Han SH, Bang JH. . Korean Nosocomial Infections Surveillance System, Intensive Care Unit Module Report: Summary of Data from July 2011 through June 2012. Korean J Nosocomial Infect Control. 2014; 19:52–63.
11. Kwak YG, Cho YK, Kim JY, Lee MS, Kim HY, Kim YK. . Korean Nosocomial Infections Surveillance System, Intensive Care Unit Module Report: Data Summary from July 2009 through June 2010. Korean J Nosocomial Infect Control. 2011; 16:1–12.
12. KONIS. KONIS ICU report.http://konis.cdc.go.kr/konis/sub/reports_icu.htm. (Updated on 27 March. 2015.
13. Lee SO, Kim ES, Kim HY, Park ES, Jin HY, Ki HK. . Korean Nosocomial Infections Surveillance System, Intensive Care Unit Module Report: Data Summary from July 2007 through June 2008. Korean J Nosocomial Infect Control. 2008; 13:69–82.