Are We Truly Safe? Unfolding the Final Chapters of COVID-19 Walk-Through Booths

This research proposes a safety strategy for coronavirus disease 2019 (COVID-19) walkthrough booths to optimize pandemic preparedness. These booths, designed for respiratory sample collection during the COVID-19 pandemic, effectively reduce infection risk and personal protective equipment-related fatigue among healthcare workers. However, inadequate disinfection and glove management could escalate infection transmission. Using computational fluid dynamics simulations, we analyzed droplet dispersion on booth surfaces and gloves under various wind conditions. Our findings suggest that when setting up COVID-19 walk-through booths, their location should be strategically chosen to minimize the effects of wind. All surfaces of booth gloves must be thoroughly disinfected with a certified disinfectant after nasopharyngeal swab collection. It is also recommended to wear disposable gloves over booth gloves when changing between patient examinations. In wind-affected areas, individuals nearby should not solely rely on the 2-meter distancing rule due to potential droplet spread from walk-through booths. We strongly recommend consistent and proper mask use for effective droplet blocking. Adherence to these guidelines can significantly enhance the safety and efficiency of walk-through booths, particularly in potential future pandemics.

Guidelines for Surgery of Confirmed or Suspected COVID-19 Patients

Coronavirus disease 2019 (COVID-19) has spread widely across the world since January 2020.There are many challenges when caring for patients with COVID-19, one of which is infection prevention and control. In particular, in cases where surgery must absolutely be performed, special infection control may be required in order to perform surgery without spreading infection within the hospital. We aim to present potentially useful recommendations for nondeferrable surgery for COVID-19 patients based on in vivo and in vitro research and clinical experiences from many countries.

KSNM/KSID/KOSHIC Guidance for Nuclear Medicine Department Against the Coronavirus Disease 2019 (COVID-19) Pandemic / 대한핵의학회잡지

The dramatic spread of Coronavirus Disease 2019 (COVID-19) has profound impacts on every continent and life. Due to humanto-human transmission of COVID-19, nuclear medicine staffs also cannot escape the risk of infection from workplaces. Everystaff in the nuclear medicine department must prepare for and respond to COVID-19 pandemic which tailored to the characteristicsof our profession. This article provided the guidance prepared by the Korean Society of Nuclear Medicine (KSNM) incooperation with the Korean Society of Infectious Disease (KSID) and Korean Society for Healthcare-Associated InfectionControl and Prevention (KOSHIC) in managing the COVID-19 pandemic for the nuclear medicine department.We hope that thisguidance will support every practice in nuclear medicine during this chaotic period.

Korean Nosocomial Infections Surveillance System, Intensive Care Unit Module Report: Data Summary from July 2012 through June 2013 / 병원감염관리

BACKGROUND: The Korean Society for Nosocomial Infection Control (KOSNIC) ran a surveillance system, called as Korean Nosocomial Infections Surveillance (KONIS), since July 2006. Here, we report the annual data of the intensive care unit (ICU) module of the system from July 2012 through June 2013. METHODS: This is a prospective surveillance of nosocomial urinary tract infections (UTI), bloodstream infections (BSI), and pneumonia (PNEU) at 161 ICUs in 91 hospitals using the KONIS system. The nosocomial infection (NI) rate was calculated as the number of infections per 1,000 patient days or device days. RESULTS: A total of 3,042 NIs were reported during the study period: 877 UTIs (854 cases were urinary catheter-associated), 1,272 BSIs (1,096 were central line-associated), and 893 PNEUs (526 cases were ventilator-associated). The rate of urinary catheter-associated UTIs (CAUTIs) was 1.26 cases per 1,000 device days (95% confidence interval; 1.18-1.34) and urinary catheter utilization ratio was 0.78 (0.779-0.781). The rate of central line-associated BSIs was 2.57 (2.42-2.72) and the utilization ratio was 0.49 (0.489-0.491). The rate of ventilator-associated PNEUs was 1.64 (1.50-1.78) and the utilization ratio was 0.37 (0.369-0.371). The urinary catheter utilization ratio was lower in the ICUs of hospitals with 400-699 beds than in those of hospitals with more than 900 beds; nevertheless, CAUTIs were more common in the hospitals with 400-699 beds. The central line-associated BSI (CLABSI) rate was lower in the study period than in the previous period of July 2011-June 2012 [2.57 (2.42-2.72) vs. 3.01 (2.84-3.19)]. CONCLUSION: The CLABSI rates were lower in the study period than those in the previous years. CAUTIs were more common in the ICUs of hospitals with 400-699 beds than in those of larger hospitals.

Korean Nosocomial Infections Surveillance System, Intensive Care Unit Module Report: Summary of Data from July 2013 through June 2014 / 병원감염관리

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 2013 through June 2014. METHODS: We performed a prospective surveillance of nosocomial urinary tract infections (UTIs), bloodstream infections (BSIs), and pneumonia (PNEU) in 166 ICUs of 94 hospitals using the KONIS. Nosocomial infection (NI) rate was defined as the number of infections per 1,000 patient-days or device-days. RESULTS: A total of 2,843 NIs were found during the study period: 861 UTIs (846 were urinary catheter-associated), 1,173 BSIs (1,021 were central line-associated), and 809 PNEUs (498 were ventilator-associated). The rate of urinary catheter-associated UTIs was 1.21 per 1,000 device-days (95% confidence interval [CI]=1.13-1.29), and the urinary catheter utilization ratio was 0.84 (95% CI=0.839-0.841). The rate of central line-associated BSIs was 2.33 per 1,000 device-days (95% CI=2.20-2.48), and the utilization ratio was 0.53 (95% CI=0.529-0.531). The rate of ventilatorassociated PNEUs (VAPs) was 1.46 per 1,000 device-days (95% CI=1.34-1.60), and the utilization ratio was 0.41 (95% CI=0.409-0.411). In hospitals with more than 900 beds, although the ventilator utilization ratio was highest, the rate of VAPs was lower than in hospitals with 300-699 or 700-899 beds. CONCLUSION: BSIs were the most commonly reported nosocomial infections. Although device utilization ratios had increased, nosocomial infection rates did not differ significantly from those during the previous period (July 2012 through June 2013).

Prospective and Retrospective Incidence and Post-exposure Reporting of Needlestick Injuries / 병원감염관리

BACKGROUND: Most studies on the incidence rate (IR) and post-exposure reporting rate (RR) of needle-stick injuries (NSIs) were performed using retrospective surveillance, which is vulnerable to recall bias. This study aimed to identify the agreement between IRs and RRs obtained from prospective and retrospective surveillance. METHODS: The prospective surveillance was performed with 716 nurses working at 3 hospitals from August to September in 2012. They prospectively reported when they experienced the NSIs, and the investigator retrospectively calculated the RR from records in the infection control unit or health care unit during the same periods when they reported the number of NSIs. The retrospective surveillance was carried out with 312 nurses who participated in the prospective surveillance. They retrospectively answered the question on the number of NSIs and post-exposure reporting after recalling the experienced NSI from August to September in 2012. RESULTS: The IR of NSIs was 9.8 per 100 nurses by the prospective surveillance and 36.4 per 100 nurses by the retrospective surveillance, which was statistically significantly different (P<0.001). The RR of NSIs was 14.3% by the prospective surveillance and 8.5% by the retrospective surveillance, which was not statistically significantly different. CONCLUSION: We recommend using a prospective approach for calculating the IR of NSIs to reduce the risk of recall bias. However, the RR of NSIs can be calculated using both prospective and retrospective approaches.

Korean Nosocomial Infections Surveillance System, Intensive Care Unit Module Report: Summary of Data from July 2011 through June 2012 / 병원감염관리

BACKGROUND: This article reports annual data of intensive care units (ICU) module of the Korean Nosocomial Infections Surveillance (KONIS) system from July 2011 through June 2012. METHODS: We performed a prospective surveillance of nosocomial urinary tract infections (UTI), bloodstream infections (BSI), and pneumonia (PNEU) at 143 ICUs in 81 hospitals using the KONIS system. Nosocomial infection (NI) rates were calculated as the number of infections per 1,000 patient days or device days. Asymptomatic bacteriuria was excluded on or after October 1, 2011. RESULTS: A total of 3,374 NIs were found during the study period: 1,356 UTIs (1,336 cases were urinary catheter-associated), 1,253 BSIs (1,091 were central line-associated), and 765 PNEUs (481 were ventilator-associated). The rate of urinary catheter-associated UTIs (CAUTIs) was 2.26 cases per 1,000 device-days (95% confidence interval, 2.14-2.39) and urinary catheter utilization ratio was 0.85 (0.849-0.851). The rate of central line-associated BSIs was 3.01 (2.84-3.19) and the utilization ratio was 0.52 (0.519-0.521). The rate of ventilator-associated PNEUs (VAPs) was 1.70 (1.56-1.86) and the utilization ratio was 0.40 (0.399-0.401). Ventilator and urinary catheter utilization ratios were lower in the ICUs of hospitals with 400-699 beds than those in hospitals with 700-899 beds or more than 900 beds. Nevertheless, VAPs and CAUTIs were more common in hospitals with 400-699 beds. CONCLUSION: Nosocomial infection rates were similar to the findings of those of the previous period, July 2010-July 2011. Implementation of proven infection-control strategies are needed, especially in the hospitals having fewer than 700 beds.

Korean Nosocomial Infections Surveillance System, Intensive Care Unit Module Report: Data Summary from July 2010 through June 2011 / 병원감염관리

BACKGROUND: We present here the annual data of the intensive care unit (ICU) module of the Korean Nosocomial Infections Surveillance System (KONIS) from July 2010 through June 2011. METHODS: We performed a prospective surveillance of nosocomial urinary tract infections (UTI), bloodstream infections (BSI), and pneumonia (PNEU) at 130 ICUs in 72 hospitals using KONIS. Nosocomial infection (NI) rates were calculated as the number of infections per 1,000 patient-days or device-days. RESULTS: A total of 3,757 NIs were found: 1,978 UTIs (1,949 cases were urinary catheter-associated), 1,092 BSIs (with 932 being central line-associated), and 687 PNEUs (410 were ventilator-associated). The rate of urinary catheter-associated UTIs (CAUTIs) was 3.87 cases per 1,000 device-days (95% confidence interval, 3.70-4.05), and the urinary catheter utilization ratio was 0.86 (0.859-0.861). The rate of central line-associated BSIs was 3.01 per 1,000 device-days (2.82-3.21), and the utilization ratio was 0.53 (0.529-0.531). The rate of ventilator-associated PNEUs (VAPs) was 1.75 per 1,000 device-days (1.59-1.93), and the utilization ratio was 0.40 (0.399-0.401). Although both the ventilator utilization ratiosand the urinary catheter utilization ratios were lower in hospitals with 400-699 beds than thosein hospitals with 700-899 beds ormore than 900 beds, the rates of VAPsand CAUTIs were higher in hospitals with 400-699 beds than thosein hospitals with 700-899 beds or more than 900 beds. CONCLUSION: The risk of acquiring VAP and CAUTI is higher in the ICUs of 400-699 bed hospitals than in ICUs oflarger hospitals. Therefore, ongoing targeted surveillance and implementation of proven infection control strategies are needed especially for hospitals having fewer than 700 beds.

Risk Factors for Colonization and Acquisition with Vancomycin-Resistant Enterococci in Intensive Care Units / 기본간호학회지

PURPOSE: In this study active surveillance culture for ICU patients, in whom the risk of VRE infection was high were conducted, and through this the VRE colonization rate and the characteristics of the colonization were examined and risk factors involved in VRE colonization and acquisition were analyzed. METHOD: This research was performed with 635 patients admitted to ICU between July 1 and December 31, 2006. RESULTS: On admission to ICU, the VRE colonization rate was 2.36%, 93% identified from active surveillance culture. The VRE colonization rate was significantly higher in those patients with cancer (OR=9.43; 95% CI=1.38~62.50; P=.022), liver cirrhosis (OR=55.5; 95% CI=7.29~500; P=.005), transferred from other hospitals (OR=200; 95% CI=22.73~1000; P=.000), high APACHE II score (OR=1.107; 95% CI=1.010~1.213; P=.029), or antibiotics within the last 3 months (OR=15.87; 95% CI=2.27~111.11; P=.005). The VRE acquisition rate was 5.2%. It was significantly higher in those who were using a ventilator (OR=26.31; 95% CI=5.13~142.86; P=.000), three or more kinds of antibiotics during admission (OR=58.82; 95% CI=16.13~200; P=.000), or high APACHE II score (OR=1.16; 95% CI=1.08~ 1.24; P=.000). CONCLUSION: The results of this study show that active surveillance culture can detect VRE colonization on admission to ICU and those who have acquired VRE in ICU. The analyzed VRE colonization and risk factors of VRE acquisition are expected to be useful in establishing guidelines for preventing VRE infection in ICU.