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Korean J healthc assoc Infect Control Prev 2021; 26(2): 115-128

Published online December 31, 2021 https://doi.org/10.14192/kjicp.2021.26.2.115

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

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Korean National Healthcare-associated Infections Surveillance System, Intensive Care Unit Module Report: Summary of Data from July 2019 through June 2020

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, Nan-Hyoung Cho16, Pyoeng Gyun Choe17, Ki Ho Hong18, Yu-Mi Lee19, Mi Suk Lee19

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, Seoul, Department of Internal Medicine, Soonchunhyang University College of Medicine8, Asan, 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, Gachon University College of Nursing13, Seongnam, Infection Control Office, Inje University Sanggye Paik Hospital14, Department of Infectious Diseases, Asan Medical Center, University of Ulsan college of Medicine15, Office of Infection Control, Gangnam Severance Hospital16, Department of Internal Medicine, Seoul National University College of Medicine17, Department of Laboratory Medicine, Yonsei University College of Medicine, Severance Hospital18, Department of Internal Medicine, Kyung Hee University Hospital, Kyung Hee University School of Medicine19, Seoul, Korea

Correspondence to: Mi Suk Lee
E-mail: mslee7@gmail.com
ORCID: https://orcid.org/0000-0001-8951-5032

Received: November 29, 2021; Accepted: December 3, 2021

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).

Abstract

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Background: This report presents the annual data of the intensive care unit (ICU) module of the Korean National Healthcare-associated Infections Surveillance System (KONIS) between July 2019 and June 2020.
Methods: We performed prospective surveillance of healthcare-associated infections (HAI), including urinary tract infections (UTIs), bloodstream infections (BSIs), and pneumonia (PNEU), at 340 ICUs in 256 hospitals using the KONIS database. HAI and device-associated infection (DAI) rates were calculated as the number of infections per 1,000 patient-days (PD) and device-days (DD), respectively. Device utilization was calculated as the ratio (DUR) of device to patient days.
Results: A total of 4,489 HAIs were found during the study period: 1,646 UTIs (1,597 cases were urinary catheter-associated); 1,964 BSIs (1,695 were central line-associated); and 879 PNEUs (470 were ventilator-associated). The rate of urinary catheter-associated UTIs (CAUTI) was 1.26/1,000 DD (95% confidence interval [CI] 1.20-1.32), whereas the urinary catheter utilization ratio was 0.80 (95% CI, 0.799-0.801). The rate of central line-associated BSIs was 2.16/1,000 DD (95% CI 2.06-2.26), whereas the central line utilization ratio was 0.50 (95% CI 0.499-0.501). The rate of ventilator-associated PNEUs was 0.93/1,000 DD (95% CI 0.85-1.02), whereas the ventilator utilization ratio was 0.32 (95% CI 0.319-0.321).
Conclusion: The overall DAI rate was similar to that in the previous year. In particular, the device utilization ratios were reduced. Continuous surveillance prevented an increase in the infection rate and led to a decrease in device use. A continuous infection surveillance system can reduce the infection rate.

Keywords: Korean National Healthcare-associated Infections Surveillance System, KONIS, Intensive care unit, Healthcare-associated infection

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