전국의료관련감염감시체계 중환자실 부문 결과 보고: 2020년 7월부터 2021년 6월open accessKorean National Healthcare-associated Infections Surveillance System, Intensive Care Unit Module Report: Summary of Data from July 2020 through June 2021
- Other Titles
- Korean National Healthcare-associated Infections Surveillance System, Intensive Care Unit Module Report: Summary of Data from July 2020 through June 2021
- Authors
- 김은진; 곽이경; 곽선희; 고수희; 권오미; 김의석; 김진화; 김태형; 김택수; 문희원; 박선희; 안진영; 유소연; 유현미; 이상오; 이유미; 조난형; 최영화; 최평균; 홍기호; 이미숙; 전국의료관련감염 중환자실감시체계
- Issue Date
- Jun-2023
- Publisher
- 대한의료관련감염관리학회
- Keywords
- Korean National Healthcare-associated Infections Surveillance System; KONIS; Intensive care unit; Healthcare-associated Infection
- Citation
- 의료관련감염관리, v.28, no.1, pp 64 - 77
- Pages
- 14
- Journal Title
- 의료관련감염관리
- Volume
- 28
- Number
- 1
- Start Page
- 64
- End Page
- 77
- URI
- https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/88951
- DOI
- 10.14192/kjicp.2023.28.1.64
- ISSN
- 2508-5999
- Abstract
- 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.
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