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Article: Renal Disease in Persons Infected with Human Immunodeficiency Virus in Korea.

Choe, Pyoeng Gyun

2017 Volume 49, Issue 3, Page(s) 238–240

Language	English
Publishing date	2017-10-13
Publishing country	Korea (South)
Document type	Editorial
ZDB-ID	2573798-3
ISSN	2093-2340
ISSN	2093-2340
DOI	10.3947/ic.2017.49.3.238
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Article ; Online: Preparing the Frontlines: Delivering Special Pathogen Training to Maryland Hospital Staff.

Sulmonte, Christopher J / Flinn, Jade B / Yusuf, Hasiya / Martin, Elena / Luciano, Nicholas J / Kim, Hyungwoo / Choe, Pyoeng Gyun / Das, Asar / Garibaldi, Brian T / Hynes, Noreen A

Health security

2024 Volume 22, Issue 1, Page(s) 65–73

Abstract: Healthcare workers (HCWs) at community hospitals, also known as frontline hospitals (FLHs), may encounter patients with possible infectious diseases, including those caused by high-consequence pathogens such ... ...

Abstract	Healthcare workers (HCWs) at community hospitals, also known as frontline hospitals (FLHs), may encounter patients with possible infectious diseases, including those caused by high-consequence pathogens such as
MeSH term(s)	Humans ; Pandemics ; Maryland ; COVID-19 ; Health Personnel ; Personnel, Hospital ; Abnormalities, Multiple ; Growth Disorders ; Heart Septal Defects, Ventricular ; Craniofacial Abnormalities
Language	English
Publishing date	2024-01-19
Publishing country	United States
Document type	Journal Article
ZDB-ID	2823049-8
ISSN	2326-5108 ; 2326-5094
ISSN (online)	2326-5108
ISSN	2326-5094
DOI	10.1089/hs.2023.0035
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Article ; Online: Effect of Wearing Personal Protective Equipment (PPE) for COVID-19 Treatment on Blood Culture Contamination: Implication for Optimal PPE Strategies.

Park, Jae Hyeon / Kim, Taek Soo / Lee, Chan Mi / Kang, Chang Kyung / Park, Wan Beom / Kim, Nam Joong / Choe, Pyoeng Gyun / Oh, Myoung-Don

Journal of Korean medical science

2023 Volume 38, Issue 23, Page(s) e180

Abstract: The personal protective equipment (PPE) used to minimize exposure to hazards can hinder healthcare workers from performing sophisticated procedures. We retrospectively reviewed 77,535 blood cultures (202,012 pairs) performed in 28,502 patients from ... ...

Abstract	The personal protective equipment (PPE) used to minimize exposure to hazards can hinder healthcare workers from performing sophisticated procedures. We retrospectively reviewed 77,535 blood cultures (202,012 pairs) performed in 28,502 patients from January 2020 to April 2022. The contamination rate of all blood cultures was significantly elevated in the coronavirus disease 2019 ward at 4.68%, compared to intensive care units at 2.56%, emergency rooms at 1.13%, hematology wards at 1.08%, and general wards at 1.07% (All of
MeSH term(s)	Humans ; Blood Culture ; COVID-19 ; COVID-19 Drug Treatment ; Retrospective Studies ; Personal Protective Equipment
Language	English
Publishing date	2023-06-12
Publishing country	Korea (South)
Document type	Journal Article
ZDB-ID	639262-3
ISSN	1598-6357 ; 1011-8934
ISSN (online)	1598-6357
ISSN	1011-8934
DOI	10.3346/jkms.2023.38.e180
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Article: Predicting delirium and the effects of medications in hospitalized COVID-19 patients using machine learning: A retrospective study within the Korean Multidisciplinary Cohort for Delirium Prevention (KoMCoDe).

Lee, So Hee / Hur, Hyun Jung / Kim, Sung Nyun / Ahn, Jang Ho / Ro, Du Hyun / Hong, Arum / Park, Hye Yoon / Choe, Pyoeng Gyun / Kim, Back / Park, Hye Youn

Digital health

2024 Volume 10, Page(s) 20552076231223811

Abstract: Objective: Delirium is commonly reported from the inpatients with Coronavirus disease 2019 (COVID-19) infection. As delirium is closely associated with adverse clinical outcomes, prediction and prevention of delirium is critical. We developed a machine ... ...

Abstract	Objective: Delirium is commonly reported from the inpatients with Coronavirus disease 2019 (COVID-19) infection. As delirium is closely associated with adverse clinical outcomes, prediction and prevention of delirium is critical. We developed a machine learning (ML) model to predict delirium in hospitalized patients with COVID-19 and to identify modifiable factors to prevent delirium. Methods: The data set (n = 878) from four medical centers was constructed. Total of 78 predictors were included such as demographic characteristics, vital signs, laboratory results and medication, and the primary outcome was delirium occurrence during hospitalization. For analysis, the extreme gradient boosting (XGBoost) algorithm was applied, and the most influential factors were selected by recursive feature elimination. Among the indicators of performance for ML model, the area under the curve of the receiver operating characteristic (AUROC) curve was selected as the evaluation metric. Results: Regarding the performance of developed delirium prediction model, the accuracy, precision, recall, F1 score, and the AUROC were calculated (0.944, 0.581, 0.421, 0.485, 0.873, respectively). The influential factors of delirium in this model included were mechanical ventilation, medication (antipsychotics, sedatives, ambroxol, piperacillin/tazobactam, acetaminophen, ceftriaxone, and propacetamol), and sodium ion concentration (all Conclusions: We developed and internally validated an ML model to predict delirium in COVID-19 inpatients. The model identified modifiable factors associated with the development of delirium and could be clinically useful for the prediction and prevention of delirium in COVID-19 inpatients.
Language	English
Publishing date	2024-01-05
Publishing country	United States
Document type	Journal Article
ZDB-ID	2819396-9
ISSN	2055-2076
ISSN	2055-2076
DOI	10.1177/20552076231223811
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Article ; Online: Risk factors for resistant gram-positive bacteremia in febrile neutropenic patients with cancer.

Lee, Minkyeong / Lee, Chan Mi / Byun, Ja Min / Shin, Dong-Yeop / Koh, Youngil / Hong, Junshik / Choe, Pyoeng Gyun / Park, Wan Beom / Kim, Nam Joong / Yoon, Sung-Soo / Oh, Myoung-Don / Kang, Chang Kyung / Kim, Inho

Journal of infection and chemotherapy : official journal of the Japan Society of Chemotherapy

2024

Abstract: Background: Gram-positive bacteria are frequently resistant to empirical beta-lactams in febrile neutropenic patients with cancer. As microbiology and antibiotic susceptibility changes, we reevaluated the risk factors for resistant Gram-positive ... ...

Abstract	Background: Gram-positive bacteria are frequently resistant to empirical beta-lactams in febrile neutropenic patients with cancer. As microbiology and antibiotic susceptibility changes, we reevaluated the risk factors for resistant Gram-positive bacteremia in febrile neutropenic patients with cancer. Methods: Episodes of bacteremic febrile neutropenia in Seoul National University Hospital from July 2019 to June 2022 were reviewed. Resistant Gram-positive bacteria were defined as a pathogen susceptible only to glycopeptide or linezolid in vitro (e.g., methicillin-resistant staphylococci, penicillin-resistant viridans streptococci, and ampicillin-resistant enterococci). Episodes were compared to identify independent risk factors for resistant Gram-positive bacteremia. Results: Of 225 episodes, 78 (34.7%) involved resistant Gram-positive bacteremia. Multivariate analysis revealed that breakthrough bacteremia while being administered antibiotics (adjusted odds ratio [aOR], 6.794; 95% confidence interval [95% CI], 3.130-14.749; P < 0.001) and catheter-related infection (aOR 4.039, 95% CI 1.366-11.946; P = 0.012) were associated with resistant Gram-positive bacteremia. Chronic liver disease (aOR 0.231, 95% CI 0.059-0.905; P = 0.035) and hypotension at bacteremia (aOR 0.454, 95% CI 0.218-0.945; P = 0.035) were inversely associated with resistant Gram-positive bacteremia. Conclusions: Resistant Gram-positive bacteria should be considered in breakthrough bacteremia and catheter-related infection in febrile neutropenic patients with cancer.
Language	English
Publishing date	2024-03-20
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	1355399-9
ISSN	1437-7780 ; 1341-321X
ISSN (online)	1437-7780
ISSN	1341-321X
DOI	10.1016/j.jiac.2024.03.013
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Article ; Online: Predicting delirium and the effects of medications in hospitalized COVID-19 patients using machine learning

So Hee Lee / Hyun Jung Hur / Sung Nyun Kim / Jang Ho Ahn / Du Hyun Ro / Arum Hong / Hye Yoon Park / Pyoeng Gyun Choe / Back Kim / Hye Youn Park

Digital Health, Vol

A retrospective study within the Korean Multidisciplinary Cohort for Delirium Prevention (KoMCoDe)

2024 Volume 10

Abstract: Objective Delirium is commonly reported from the inpatients with Coronavirus disease 2019 (COVID-19) infection. As delirium is closely associated with adverse clinical outcomes, prediction and prevention of delirium is critical. We developed a machine ... ...

Abstract	Objective Delirium is commonly reported from the inpatients with Coronavirus disease 2019 (COVID-19) infection. As delirium is closely associated with adverse clinical outcomes, prediction and prevention of delirium is critical. We developed a machine learning (ML) model to predict delirium in hospitalized patients with COVID-19 and to identify modifiable factors to prevent delirium. Methods The data set (n = 878) from four medical centers was constructed. Total of 78 predictors were included such as demographic characteristics, vital signs, laboratory results and medication, and the primary outcome was delirium occurrence during hospitalization. For analysis, the extreme gradient boosting (XGBoost) algorithm was applied, and the most influential factors were selected by recursive feature elimination. Among the indicators of performance for ML model, the area under the curve of the receiver operating characteristic (AUROC) curve was selected as the evaluation metric. Results Regarding the performance of developed delirium prediction model, the accuracy, precision, recall, F1 score, and the AUROC were calculated (0.944, 0.581, 0.421, 0.485, 0.873, respectively). The influential factors of delirium in this model included were mechanical ventilation, medication (antipsychotics, sedatives, ambroxol, piperacillin/tazobactam, acetaminophen, ceftriaxone, and propacetamol), and sodium ion concentration (all p < 0.05). Conclusions We developed and internally validated an ML model to predict delirium in COVID-19 inpatients. The model identified modifiable factors associated with the development of delirium and could be clinically useful for the prediction and prevention of delirium in COVID-19 inpatients.
Keywords	Computer applications to medicine. Medical informatics ; R858-859.7
Language	English
Publishing date	2024-01-01T00:00:00Z
Publisher	SAGE Publishing
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Clinical outcomes and immunological features of COVID-19 patients receiving B-cell depletion therapy during the Omicron era.

Lee, Chan Mi / Kim, Minji / Park, Seong-Wook / Kang, Chang Kyung / Choe, Pyoeng Gyun / Kim, Nam Joong / Jo, Hyeon Jae / Shin, Hyun Mu / Lee, Chang-Han / Kim, Hang-Rae / Park, Wan Beom / Oh, Myoung-Don

Infectious diseases (London, England)

2023 Volume 56, Issue 2, Page(s) 116–127

Abstract: Background: ...

Abstract	Background:
MeSH term(s)	Humans ; B-Lymphocytes ; Retrospective Studies ; COVID-19/therapy ; SARS-CoV-2
Language	English
Publishing date	2023-12-18
Publishing country	England
Document type	Journal Article
ZDB-ID	2839775-7
ISSN	2374-4243 ; 2374-4235
ISSN (online)	2374-4243
ISSN	2374-4235
DOI	10.1080/23744235.2023.2276784
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Article ; Online: An ancestral SARS-CoV-2 vaccine induces anti-Omicron variants antibodies by hypermutation.

Park, Seoryeong / Choi, Jaewon / Lee, Yonghee / Noh, Jinsung / Kim, Namphil / Lee, JinAh / Cho, Geummi / Kim, Sujeong / Yoo, Duck Kyun / Kang, Chang Kyung / Choe, Pyoeng Gyun / Kim, Nam Joong / Park, Wan Beom / Kim, Seungtaek / Oh, Myoung-Don / Kwon, Sunghoon / Chung, Junho

Nature communications

2024 Volume 15, Issue 1, Page(s) 3368

Abstract: The immune escape of Omicron variants significantly subsides by the third dose of an mRNA vaccine. However, it is unclear how Omicron variant-neutralizing antibodies develop under repeated vaccination. We analyze blood samples from 41 BNT162b2 vaccinees ... ...

Abstract	The immune escape of Omicron variants significantly subsides by the third dose of an mRNA vaccine. However, it is unclear how Omicron variant-neutralizing antibodies develop under repeated vaccination. We analyze blood samples from 41 BNT162b2 vaccinees following the course of three injections and analyze their B-cell receptor (BCR) repertoires at six time points in total. The concomitant reactivity to both ancestral and Omicron receptor-binding domain (RBD) is achieved by a limited number of BCR clonotypes depending on the accumulation of somatic hypermutation (SHM) after the third dose. Our findings suggest that SHM accumulation in the BCR space to broaden its specificity for unseen antigens is a counterprotective mechanism against virus variant immune escape.
MeSH term(s)	Humans ; COVID-19 Vaccines ; BNT162 Vaccine ; COVID-19/prevention & control ; SARS-CoV-2/genetics ; Antibodies, Neutralizing ; Antibodies, Viral
Chemical Substances	COVID-19 Vaccines ; BNT162 Vaccine ; Antibodies, Neutralizing ; Antibodies, Viral
Language	English
Publishing date	2024-04-20
Publishing country	England
Document type	Journal Article
ZDB-ID	2553671-0
ISSN	2041-1723 ; 2041-1723
ISSN (online)	2041-1723
ISSN	2041-1723
DOI	10.1038/s41467-024-47743-1
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Article ; Online: Kinetics of Neutralizing Antibody Responses Against SARS-CoV-2 Delta Variant in Patients Infected at the Beginning of the Pandemic.

Choe, Pyoeng Gyun / Kim, Yuri / Chang, Euijin / Kang, Chang Kyung / Kim, Nam Joong / Cho, Nam-Hyuk / Park, Wan Beom / Oh, Myoung-Don

Journal of Korean medical science

2022 Volume 37, Issue 8, Page(s) e67

Abstract: We investigated the kinetics of the neutralizing antibody responses to the severe acute respiratory syndrome-coronavirus-2 delta variant over the course of 1 year in 16 patients infected at the beginning of the pandemic. In patients with severe disease, ... ...

Abstract	We investigated the kinetics of the neutralizing antibody responses to the severe acute respiratory syndrome-coronavirus-2 delta variant over the course of 1 year in 16 patients infected at the beginning of the pandemic. In patients with severe disease, neutralizing responses to the delta variant were detectable, albeit at lower levels than responses to the wild type. Neutralizing responses to the delta variant were undetectable, however, in asymptomatic persons. This finding implies that the vaccination strategy for persons with past natural infection should depend on the severity of the previous infection.
MeSH term(s)	Adult ; Aged ; Antibodies, Neutralizing/blood ; Antibodies, Viral/blood ; COVID-19/immunology ; COVID-19/prevention & control ; COVID-19 Vaccines/immunology ; Female ; Humans ; Kinetics ; Male ; Middle Aged ; SARS-CoV-2/immunology ; Severity of Illness Index ; Vaccination ; Young Adult
Chemical Substances	Antibodies, Neutralizing ; Antibodies, Viral ; COVID-19 Vaccines
Language	English
Publishing date	2022-02-28
Publishing country	Korea (South)
Document type	Journal Article
ZDB-ID	639262-3
ISSN	1598-6357 ; 1011-8934
ISSN (online)	1598-6357
ISSN	1011-8934
DOI	10.3346/jkms.2022.37.e67
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Article ; Online: Clinical Impact of Empirical Antibiotic Therapy in Patients With Coronavirus Disease 2019 Requiring Oxygen Therapy.

Park, Do Hyeon / Lee, Chan Mi / Chang, Euijin / Kang, Chang Kyung / Park, Wan Beom / Kim, Nam Joong / Choe, Pyoeng Gyun / Oh, Myoung-Don

Journal of Korean medical science

2022 Volume 37, Issue 29, Page(s) e238

Abstract: Despite the low prevalence of secondary bacterial infection in coronavirus disease 2019 (COVID-19) patients, most of them were administered antibiotic therapy empirically. However, the prognostic impact of empirical antibiotic therapy has not been ... ...

Abstract	Despite the low prevalence of secondary bacterial infection in coronavirus disease 2019 (COVID-19) patients, most of them were administered antibiotic therapy empirically. However, the prognostic impact of empirical antibiotic therapy has not been evaluated. We conducted retrospective propensity score-matched case-control study of 233 COVID-19 patients with moderate to severe illnesses who required oxygen therapy and evaluated whether empirical antibiotic therapy could improve clinical outcomes. Empirical antibiotic therapy did not improve clinical outcomes including length of stay, days with oxygen requirement, the proportion of patients with increased oxygen demand, the proportion of patients who required mechanical ventilation, and overall mortality. This finding implies that routine administration of antibiotics for the treatment of COVID-19 is not essential and should be restricted.
MeSH term(s)	Anti-Bacterial Agents/therapeutic use ; COVID-19 ; Case-Control Studies ; Humans ; Oxygen/therapeutic use ; Retrospective Studies
Chemical Substances	Anti-Bacterial Agents ; Oxygen (S88TT14065)
Language	English
Publishing date	2022-07-25
Publishing country	Korea (South)
Document type	Journal Article
ZDB-ID	639262-3
ISSN	1598-6357 ; 1011-8934
ISSN (online)	1598-6357
ISSN	1011-8934
DOI	10.3346/jkms.2022.37.e238
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