Minhyuk Choi
Yonsei University · 医学
研究室紹介
Professor Minhyuk Choi's research lab specializes in antimicrobial resistance (AMR), healthcare-associated infections, and predictive modeling in critical care. The lab investigates the epidemiology, virulence factors, and treatment outcomes of multidrug-resistant pathogens such as *Klebsiella pneumoniae*, *Elizabethkingia*, and *Escherichia coli* in bloodstream infections. It also focuses on improving clinical prediction models using machine learning to enhance patient outcomes in intensive care settings.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15Despite the reported virulence of hypermucoviscous KP strains, they were associated with good prognoses in KP BSI patients. Importantly, carriage of the pks gene cluster, which is responsible for the synthesis of colibactin, was a relevant marker of early mortality.
Elizabethkingia infections are difficult to treat because of intrinsic antimicrobial resistance, and their incidence has recently increased. We conducted a propensity score-matched case-control study during January 2016-June 2017 in South Korea and retrospectively studied data from patients who were culture positive for Elizabethkingia species during January 2009-June 2017. Furthermore, we conducted epidemiologic studies of the hospital environment and mosquitoes. The incidence of Elizabethkingi
To monitor national antimicrobial resistance (AMR), the Korea Global AMR Surveillance System (Kor-GLASS) was established. This study analyzed bloodstream infection (BSI) cases from Kor-GLASS phase I from January 2017 to December 2019. Nine non-duplicated Kor-GLASS target pathogens, including Staphylococcus aureus , Enterococcus faecalis , Enterococcus faecium , Streptococcus pneumoniae , Escherichia coli , Klebsiella pneumoniae , Pseudomonas aeruginosa , Acinetobacter spp., and Salmonella spp.,
Healthcare-associated infections caused by L. monocytogenes are associated with high CFR. Adequate initial empirical treatments could reduce CFR, suggesting that careful consideration of an empirical antimicrobial regimen is warranted for elderly or immunocompromised patients admitted to the hospital.
Improving predictive models for intensive care unit (ICU) inpatients requires a new strategy that periodically includes the latest clinical data and can be updated to reflect local characteristics. We extracted data from all adult patients admitted to the ICUs of two university hospitals with different characteristics from 2006 to 2020, and a total of 85,146 patients were included in this study. Machine learning algorithms were trained to predict in-hospital mortality. The predictive performance
Despite decades' effort searching for the risk factors for E. coli BSI, systemic understanding covering the entire tripartite component is still lacking. This study detailed the organic impact of host-pathogen-treatment tripartite components for early mortality in patients with E. coli BSI.
BACKGROUND: Hyperleukocytosis in acute leukemia is associated with higher early mortality due to the major complications of leukostasis, tumor lysis syndrome (TLS), and disseminated intravascular coagulopathy (DIC). Leukapheresis remains an important modality for the management of patients with acute leukemia and hyperleukocytosis. However, the role of leukapheresis in early mortality is controversial. This study sought to evaluate the prognostic impact of leukapheresis and its beneficial effect
A rapid increase in the number of patients with coronavirus disease 19 (COVID-19) may overwhelm the available medical resources. We aimed to evaluate risk factors for disease severity in the early stages of COVID-19. The cohort comprised 293 patients with COVID-19 from 5 March 2020, to 18 March 2020. The Korea Centers for Disease Control and Prevention (KCDC) classification system was used to triage patients. The clinical course was summarized, including the impact of drugs (angiotensin II recep
Due to the spread of a single CTX-M-type extended-spectrum β-lactamase (ESBL) clone of sequence type (ST) 131, community-onset bacteremia caused by ESBL-producing Escherichia coli has increased dramatically. We evaluated the risk factors and molecular features of ESBL-producing E. coli ST131 clones isolated from Korean patients with community-onset bacteremia. We collected a total of 124 ESBL-producing E. coli isolates from blood in patients with community-onset bacteremia over a 2 year-period.
BACKGROUND: Traditional culture methods are time-consuming, making it difficult to utilize the results in the early stage of urinary tract infection (UTI) management, and automated urinalyses alone show insufficient performance for diagnosing UTIs. Several models have been proposed to predict urine culture positivity based on urinalysis. However, most of them have not been externally validated or consisted solely of urinalysis data obtained using one specific commercial analyzer. METHODS: A tota
The major challenge in the diagnosis of disseminated intravascular coagulation (DIC) comes from the lack of specific biomarkers, leading to developing composite scoring systems. DIC scores are simple and rapidly applicable. However, optimal fibrin-related markers and their cut-off values remain to be defined, requiring optimization for use. The aim of this study is to optimize the use of DIC-related parameters through machine learning (ML)-approach. Further, we evaluated whether this approach co
BACKGROUND: Anti-HCV assays are widely used as a screening tool for HCV infection. However, diagnostic performances and effective signal-to-cut-off ratios (S/COs) for predicting true HCV infections would vary according to the assays used. Thus, we evaluated the diagnostic performances of the new Elecsys Anti-HCV assay. METHODS: A total of 41 694 cases tested by the Elecsys Anti-HCV II assay (Roche Diagnostics, Germany) during January 2013 to December 2015 were retrospectively analyzed by compari