Hanyang University · Medicine
Professor Bongyoung Kim's research lab specializes in infectious diseases, antimicrobial stewardship, and the epidemiology of bacterial pathogens, with a strong focus on antibiotic resistance and clinical microbiology. The lab investigates the impact of antimicrobial stewardship programs (ASPs) in hospital settings, particularly in Korean healthcare systems, and evaluates biomarkers such as the TyG index for predicting insulin resistance and diabetes. Research also includes genomic analysis of pathogenic *E. coli* isolates and the epidemiology of catheter-related bloodstream infections. The lab integrates clinical, microbiological, and epidemiological approaches to improve patient outcomes and infection control.
Figures are computed from collected data and may differ slightly.
The TyG index was a better predictor for DM than HOMA-IR. VAI and LAP showed the modest predictability for DM. The TyG index could be a useful supplementary method for identifying individuals at risk for insulin resistance and DM development.
The aim of this study was to evaluate the impact of an infectious diseases specialist (IDS)-led antimicrobial stewardship programmes (ASPs) in a large Korean hospital. An interrupted time series analysis assessing the trends in antibiotic use and antimicrobial resistance rate of major pathogens between September 2015 and August 2017 was performed in an 859-bed university-affiliated hospital in Korea. The restrictive measure for designated antibiotics led by an IDS reduced carbapenems usage by -4
We found no STs and VFs associated with bacteremia in WGS data of <i>E. coli</i> isolates from UTI patients. ST131 was the most frequent ST among UTI causing isolates and carried more VF genes than non-ST131 isolates.
The incidence of PABSI was 1.14 per 1000 catheter days and the optimal cut-off value of catheter days to avoid a PABSI was 25 days.
The antibiotic usage patterns vary between non-teaching community hospitals in South Korea. The proportion of inappropriate prescriptions exceeded 30% of the total antibiotic prescriptions.
The study was conducted to evaluate the Antibiotic Stewardship Program (ASP) in Korean hospitals compared with the previous two surveys in 2006 and 2012. The information on ASPs was collected through an online-based survey sent by e-mail to 192 infectious diseases specialists in 101 Korean hospitals in September 2015. Fifty-four hospitals (53.5%, 54/101) responded to the online survey. One infectious diseases specialist was employed in 30 (55.6%) of the 54 hospitals, and they were in charge of A
The epidemiology of APN in Korea has been changing with an increasing incidence rate.
Over the 10-year period, a stepwise increase in the consumption of broad-spectrum antibiotics and antibiotics against MDR pathogens was observed at a tertiary care hospital in Korea. Conversely, during the same period, nonbroad-spectrum antibiotic consumption showed a significant decreasing trend.
The level of ASP establishment was more limited in primary care hospitals than in secondary and tertiary care hospitals in Korea. To improve ASPs in Korean hospitals, a supporting workforce and the establishment of a healthcare fee for ASPs appear to be necessary.
Among the CIP-R uropathogenic <i>E. coli</i> isolates in this study, ST131, ST38, and ST405 were specifically associated with antimicrobial resistance.
The aim of the present study was to describe the characteristics of infections with Staphylococcus aureus with reduced vancomycin susceptibility (SARVS) including vancomycin-intermediate S. aureus (VISA) in South Korea, using data from the national sentinel surveillance system during 2014-2016. A total of 66 patients infected or colonized with SA-RVS were reported using the sentinel surveillance system. Among them, VISA was confirmed in 14 isolates (21.2%) and no vancomycin-resistant S. aureus (
Prescription of broad-spectrum antibiotics increased much for the treatment of APN in Korea during 2010-2014.
In patients with HFMD and HA, lethargy, female, and enterovirus A71 may predict severe neurologic complications.
We developed a model to predict antimicrobial use rates in Korean hospitals, and the model was used as the denominator of the K-SAAR.
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