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Korean J healthc assoc Infect Control Prev 2011; 16(1): 1-12

Published online June 30, 2011 https://doi.org/10.14192/kjicp.2011.16.1.1

Copyright © Korean Society for Healthcare-associated infection Control and Prevention

Korean Nosocomial Infections Surveillance System, Intensive Care Unit Module Report: Data Summary from July 2009 through June 2010

Yee Gyung Kwak1, Yong Kyun Cho2, Jin Yong Kim2, Mi Suk Lee3, Hyo Youl Kim4, Young Keun Kim4, Eun Suk Park6, Hye Young Jin7, Hong Bin Kim8, Eu Suk Kim8, Sun Young Jeong9, Joong-Sik Eom10, Sung Ran Kim11, Ji Young Lee12, Hae Kyung Hong13, Joo-Hon Sung14, Young Uh5, Yeong Seon Lee15, Hee-Bok Oh15, Eui-Chong Kim16, and Korean Nosocomial Infections Surveillance System (KONIS)

Division of Infections Diseases, Inje University College of Medicine1, Busan; Division of Infectious Diseases, Gachon University of Medicine and Science2, Incheon; Division of Infectious Diseases, Kyung Hee University School of Medicine3, Seoul; Division of Infectious Diseases4 and Laboratory Medicine5, Yonsei University Wonju College of Medicine, Wonju; Department of Infection Control, Severance Hospital6, Seoul; Infection Control Office, Ajou University Hospital7, Suwon; Division of Infectious Diseases, Seoul National University College of Medicine8, Seoul; Infection Control Office, Ewha Womans University Mokdong Hospital9, Seoul; Division of Infectious Diseases, Hallym University College of Medicine, Kangdong Sacred Heart Hospital10, Seoul; Infection Control Office, Korea University Guro Hospital11, Seoul; Infection Control Office,Seoul St. Mary's Hospital12, Seoul; Infection Control Office, Kwandong University College of Medicine Myongji Hospital13, Goyang; Department of Preventive Medicine, School of Public Health, Seoul National University14, Seoul; Korea Centers for Disease Control and Prevention15, Cheongwon-gun; Department of Laboratory Medicine, Seoul National University College of Medicine16, Seoul, Korea

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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 2009 through June 2010. Methods: We performed a prospective surveillance of nosocomial urinary tract infections (UTIs), bloodstream infections (BSIs), and pneumonia (PNEU) at 116 ICUs in 63 hospitals by using KONIS. Nosocomial infection (NI) rates were calculated as the number of infections per 1,000 patient-days or device-days. Results: We identified 3,965 NIs during the study period: 2,156 cases of UTIs (2,119 were urinary catheter- associated), 1,110 cases of BSIs (948 were central line-associated), and 699 cases of PNEU (410 were ventilator- associated). The rate of urinary catheter-associated UTIs (CAUTIs) was 4.75 cases per 1,000 device-days (95% confidence interval, 4.55-4.95), and urinary catheter utilization ratio was 0.86 (range, 0.859-0.861). The rate of central line-associated BSIs was 3.28 (range, 3.07-3.49), and the utilization ratio was 0.56 (range, 0.559-0.561). The rate of ventilator-associated PNEUs (VAPs) was 1.95 (range, 1.77-2.15), and the utilization ratio was 0.41 (range, 0.409- 0.411). Although ventilator utilization ratio was lower in the hospitals with 400-699 beds than in the hospitals with 700-899 beds and more than 900 beds, the rate of VAPs were higher in the hospitals with 400-699 beds than in hospitals with 700-899 beds and more than 900 beds. The incidence of infections due to imipenem-resistant Acinetobacter baumannii increased from 43.6% to 82.5% since July 2006. Conclusion: The risk of acquiring VAP and CAUTI is highest in the ICUs of hospitals with 400-699 beds than that in hospitals with more beds. Imipenem-resistant A. baumannii was identified as an emerging gram-negative pathogen of nosocomial infections.

Keywords: Korean Nosocomial Infections Surveillance System, KONIS, Intensive care unit, Nosocomial infection

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