scholarly journals Trends of Device Utilization Ratios in Intensive Care Units During 10 Years in South Korea: Results from the Korean National Healthcare-Associated Infections Surveillance System

2017 ◽  
Vol 4 (suppl_1) ◽  
pp. S629-S630
Author(s):  
Eun Jin Kim ◽  
Young Hwa Choi ◽  
Hyo Youl Kim ◽  
Yee Gyung Kwak ◽  
Tae Hyong Kim ◽  
...  
Keyword(s):  
Intensive Care ◽  
South Korea ◽  
Intensive Care Units ◽  
Surveillance System ◽  
Healthcare Associated Infections ◽  
National Healthcare ◽  
Healthcare Associated

scholarly journals Trends in the Epidemiology of Candidemia in Intensive Care Units From 2006 to 2017: Results From the Korean National Healthcare-Associated Infections Surveillance System

2020 ◽  
Vol 7 ◽  
Author(s):  
Eun Jin Kim ◽  
Eunyoung Lee ◽  
Yee Gyung Kwak ◽  
Hyeon Mi Yoo ◽  
Ji Youn Choi ◽  
...  
Keyword(s):  
Intensive Care ◽  
Intensive Care Units ◽  
Surveillance System ◽  
Common Source ◽  
Healthcare Associated Infections ◽  
Causative Pathogen ◽  
Healthcare Associated Infection ◽  
National Healthcare ◽  
Surgical Icus ◽  
Healthcare Associated

Candidemia is an important healthcare-associated infection (HAI) in intensive care units (ICUs). However, limited research has been conducted on candidemia in the Republic of Korea. We aimed to analyze the secular trends in the incidence and distribution of candidemia in ICUs over 12-years using data from the Korean National Healthcare-Associated Infections Surveillance System (KONIS). KONIS was established in 2006 and has performed prospective surveillance of HAIs including bloodstream infections (BSIs) in ICUs. We evaluated the trends in the distribution of causative pathogens and the incidence of candidemia. From 2006 to 2017, 2,248 candidemia cases occurred in 9,184,264 patient-days (PDs). The pooled mean incidence rates of candidemia significantly decreased from 3.05 cases/10,000 PDs in 2006 to 2.5 cases/10,000 PDs in 2017 (P = 0.001). Nevertheless, the proportion of candidemia gradually increased from 15.2% in 2006 to 16.6% in 2017 (P = 0.001). The most frequent causative pathogen of BSIs from 2006 to 2012 was Staphylococcus aureus; however, Candida spp. emerged as the most frequent causative pathogen since 2013. C. albicans (39.9%) was the most common among Candida spp. causing BSIs, followed by Candida tropicalis (20.2%) and Candida parapsilosis (18.2%). The proportion of candidemia caused by C. glabrata significantly increased from 8.9% in 2006 to 17.9% in 2017 (P < 0.001). There was no significant change in the distribution of Candida spp. by year (P = 0.285). The most common source of BSIs was central lines associated BSI (92.5%). There was a significant increase in the proportion of candidemia by year in hospitals with organ transplant wards (from 18.9% in 2006 to 21.1% in 2017, P = 0.003), hospitals with <500 beds (from 2.7% in 2006 to 13.6% in 2017, P < 0.001), and surgical ICUs (from 16.2% in 2006 to 21.7% in 2017, P = 0.003). The proportion of candidemia has increased in Korea, especially in hospitals with <500 beds and surgical ICUs. Thus, appropriate infection control programs are needed.

scholarly journals Challenges with Surveillance of Healthcare-Associated Infections in Intensive Care Units in South Africa

2017 ◽  
Vol 2017 ◽  
pp. 1-7 ◽  
Author(s):  
Saajida Mahomed ◽  
Ozayr Mahomed ◽  
A. Willem Sturm ◽  
Stephen Knight ◽  
Prashini Moodley
Keyword(s):  
South Africa ◽  
Organizational Culture ◽  
Intensive Care ◽  
Intensive Care Units ◽  
Surveillance System ◽  
Health Sector ◽  
Central Line ◽  
Healthcare Associated Infections ◽  
Extensive Consultation ◽  
Healthcare Associated

Background. The incidence of healthcare-associated infections (HAIs) in the public health sector in South Africa is not known due to the lack of a surveillance system. We report on the challenges experienced in the implementation of a surveillance system for HAIs in intensive care units (ICUs). Methods. A passive, paper-based surveillance system was piloted in eight ICUs to measure the incidence of ventilator-associated pneumonia, catheter-associated urinary tract infection, and central line-associated bloodstream infection. Extensive consultation with the ICU clinical and nursing managers informed the development of the surveillance system. The Plan-Do-Study-Act method was utilized to guide the implementation of the surveillance. Results. The intended outputs of the surveillance system were not fully realized due to incomplete data. The organizational culture did not promote the collection of surveillance data. Nurses felt that the surveillance form added to their workload, and the infection control practitioners were unable to adequately supervise the process due to competing work demands. Conclusions. A manual system that adds to the administrative workload of nurses is not an effective method of measuring the burden of HAIs. Change management is required to promote an organizational culture that supports accurate data collection for HAIs.

scholarly journals Pathogen Distribution and Antimicrobial Resistance Among Pediatric Healthcare-Associated Infections Reported to the National Healthcare Safety Network, 2011–2014

2017 ◽  
Vol 39 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Jason G. Lake ◽  
Lindsey M. Weiner ◽  
Aaron M. Milstone ◽  
Lisa Saiman ◽  
Shelley S. Magill ◽  
...  
Keyword(s):  
Intensive Care ◽  
Antimicrobial Resistance ◽  
Intensive Care Units ◽  
Healthcare Associated Infections ◽  
National Healthcare ◽  
National Healthcare Safety Network ◽  
Resistance Patterns ◽  
Tract Infections ◽  
Healthcare Associated ◽  
Resistance Data

OBJECTIVETo describe pathogen distribution and antimicrobial resistance patterns for healthcare-associated infections (HAIs) reported to the National Healthcare Safety Network (NHSN) from pediatric locations during 2011–2014.METHODSDevice-associated infection data were analyzed for central line-associated bloodstream infection (CLABSI), catheter-associated urinary tract infections (CAUTI), ventilator-associated pneumonia (VAP), and surgical site infection (SSI). Pooled mean percentage resistance was calculated for a variety of pathogen-antimicrobial resistance pattern combinations and was stratified by location for device-associated infections (neonatal intensive care units [NICUs], pediatric intensive care units [PICUs], pediatric oncology and pediatric wards) and by surgery type for SSIs.RESULTSFrom 2011 to 2014, 1,003 hospitals reported 20,390 pediatric HAIs and 22,323 associated pathogens to the NHSN. Among all HAIs, the following pathogens accounted for more than 60% of those reported: Staphylococcus aureus (17%), coagulase-negative staphylococci (17%), Escherichia coli (11%), Klebsiella pneumoniae and/or oxytoca (9%), and Enterococcus faecalis (8%). Among device-associated infections, resistance was generally lower in NICUs than in other locations. For several pathogens, resistance was greater in pediatric wards than in PICUs. The proportion of organisms resistant to carbapenems was low overall but reached approximately 20% for Pseudomonas aeruginosa from CLABSIs and CAUTIs in some locations. Among SSIs, antimicrobial resistance patterns were similar across surgical procedure types for most pathogens.CONCLUSIONThis report is the first pediatric-specific description of antimicrobial resistance data reported to the NHSN. Reporting of pediatric-specific HAIs and antimicrobial resistance data will help identify priority targets for infection control and antimicrobial stewardship activities in facilities that provide care for children.Infect Control Hosp Epidemiol 2018;39:1–11

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