Korean J healthc assoc Infect Control Prev 2023; 28(1): 64-77
Published online June 30, 2023 https://doi.org/10.14192/kjicp.2023.28.1.64
Copyright © Korean Society for Healthcare-associated infection Control and Prevention
Eun Jin Kim1, Yee Gyung Kwak2, Sun Hee Kwak3, Su Hui Ko4, Oh Mee Kweon5, Eu Suk Kim6, Jin Hwa Kim7, Tae Hyong Kim8, Taek Soo Kim9, Hee-Won Moon10, Sun Hee Park11, Jin Young Ahn12, So-Yeon Yoo13, Hyeon Mi Yoo14, Sang-Oh Lee15, Yu-Mi Lee16, Nan-Hyoung Cho17, Young Hwa Choi1, Pyoeng Gyun Choe18, Ki Ho Hong19, Mi Suk Lee16 , Korean National Healthcare-associated Infections Surveillance System (KONIS) ICU module
Department of Infectious Diseases, Ajou University School of Medicine1, Suwon, Department of Internal Medicine, Inje University Ilsan Paik Hospital2, Goyang, Office for Infection Control, Asan Medical Center3, Infection Control Office, Boramae Medical Center4, Department of infection control, Severance Hospital5, Seoul, Division of Infectious Diseases, Seoul National University Bundang Hospital6, Seongnam, Infection Control Team, Soonchunhyang University Seoul Hospital7, Department of Internal Medicine, Soonchunhyang University College of Medicine8, Department of Laboratory Medicine, Seoul National University Hospital, Seoul National University College of Medicine9, Department of Laboratory Medicine, Konkuk University School of Medicine10, Department of Internal Medicine, College of Medicine, The Catholic University of Korea11, Department of Internal Medicine, Yonsei University College of Medicine12, Seoul, Department of Nursing, College of Nursing Gachon University13, Incheon, Infection Control Office, Inje University Sanggye Paik Hospital14, Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine15, Division of Infectious Diseases, Department of Internal Medicine, Kyung Hee University College of Medicine16, Office of Infection Control, Gangnam Severance Hospital17, Department of Internal Medicine, Seoul National University College of Medicine18, Department of Laboratory Medicine, Yonsei University College of Medicine19, Seoul, Korea
Correspondence to: Mi Suk Lee
E-mail: mslee7@gmail.com
ORCID: https://orcid.org/0000-0001-8951-5032
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).
Background: The Korean National Healthcare-associated Infections Surveillance System (KONIS) is a nationwide surveillance network established by the Korean Society for Healthcare-Associated Infection and Prevention in July 2006 to perform healthcare-associated infection surveillance using standardized methods. This report presents the annual data of the intensive care unit (ICU) module of the KONIS system between July 2020 and June 2021.
Methods: We performed prospective surveillance of healthcare-associated infections (HAIs), including urinary tract infections (UTIs), bloodstream infections (BSIs), and pneumonia (PNEU), at 339 ICUs in 257 hospitals using the KONIS database. HAI rates and device-associated infection (DAI) rates were calculated as the numbers of infections per 1,000 patient days (PD) and device days (DD), respectively. Device utilization was calculated as the ratio (DUR) of device days to patient days.
Results: A total of 4,435 HAIs were found during the study period: 1,645 UTIs (1,589 cases were urinary catheter-associated), 1,994 BSIs (1,753 were central line-associated), and 796 PNEUs (383 were ventilator-associated). The rate of urinary catheter-associated UTIs (CAUTI) was 1.30 cases per 1,000 DD (95% confidence interval [CI], 1.24-1.36) and DUR was 0.74 (95% CI, 0.739-0.741). The rate of central line-associated BSIs was 2.21/1,000 DD (95% CI, 2.11-2.31) and DUR was 0.48 (95% CI, 0.479-0.481). The rate of ventilator-associated PNEUs was 0.79/1,000 DD (95% CD, 071-0.87) and DUR was 0.29 (95% CI, 0.289-0.291).
Conclusion: The overall DAI rate was similar to that of the previous year’s data; however, the rate of VAP showed a trend of decline. Furthermore, all DURs were reduced. Therefore, continuous infection surveillance may reduce infection rates and device use.
Keywords: Korean National Healthcare-associated Infections Surveillance System, KONIS, Intensive care unit, Healthcare-associated Infection
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