Young Seok Lee

Prof. Young Seok Lee

orcid

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 March 2018 in International Journal of Chronic Obstructive Pulmonary Disease
Verified
Journal Article
Open access
PDF file
JCJuwhan Choi
Juwhan Choi
JOJee Youn Oh
Jee Youn Oh
YLYoung Seok Lee
Young Seok Lee
KMKyung Hoon Min
Kyung Hoon Min
GHGyu Young Hur
Gyu Young Hur
JSJae Jeong Shim
Jae Jeong Shim
Introduction: Particulate matter and air pollution in Korea are becoming worse. There is a lack of research regarding the impact of particulate matter on patients with COPD. Therefore, the purpose of this study was to investigate the effects of various air pollution factors, including particulate matter, on the incidence rate of severe acute exacerbations of COPD (AECOPD) events. Methods: We analyzed the relationship between air pollutants and AECOPD events that required hospitalization at Guro Hospital in Korea from January 1, 2015 to May 31, 2017. We used general linear models with Poisson distribution and log-transformation to obtain adjusted relative risk (RR). We conducted further analysis through the Comprehensive Air-quality Index (CAI) that is used in Korea. Results: Among various other air pollutants, particulate matter was identified as a major source of air pollution in Korea. When the CAI score was over 50, the incidence rate of severe AECOPD events was statistically significantly higher [RR 1.612, 95% CI, 1.065–2.440, P=0.024]. Additionally, the particulate matter levels 3 days before hospitalization were statistically significant [RR 1.003, 95% CI, 1.001–1.005, P=0.006]. Conclusion: Particulate matter and air pollution increase the incidence rate of severe AECOPD events. COPD patients should be cautioned against outdoor activities when particulate matter levels are high.

1 June 2018 in International Journal of Chronic Obstructive Pulmonary Disease
Verified
Journal Article
Open access
PDF file
JOJee Youn Oh
Jee Youn Oh
YLYoung Seok Lee
Young Seok Lee
KMKyung Hoon Min
Kyung Hoon Min
GHGyu-Young Hur
Gyu-Young Hur
SLSung Yong Lee
Sung Yong Lee
JSJae Jeong Shim
Jae Jeong Shim

Purpose:
Asthma–COPD overlap (ACO) is heterogeneous in nature and requires a unified diagnostic approach. We investigated the urinary levels of L-histidine, a precursor of histamine related to inflammatory responses, as a new candidate biomarker for diagnosing this condition. Patients and methods: We performed a prospective multicenter cohort study with retrospective analysis of 107 patients, who were divided into three groups: asthma, COPD, and ACO, according to the Spanish guidelines algorithm. Urinary L-histidine levels were measured using liquid chromatography-mass spectrometry. High-resolution metabolomic analysis, coupled with liquid chromatography-mass spectrometry and followed by multivariate statistical analysis, was performed on urine samples to discriminate between the metabolic profiles of the groups. Results: Urinary L-histidine levels were significantly higher in patients with ACO than in those with asthma or COPD, but the subgroups of ACO, classified according to disease origin, did not differ significantly. High urinary L-histidine level was a significant factor for the diagnosis of ACO even after adjusting for age, sex, and smoking amount. Among patients with airflow obstruction, the urinary L-histidine levels were elevated in patients with a documented history of asthma before the age of 40 years or bronchodilator responsiveness ≥400 mL; bronchodilator responsiveness ≥200 mL of forced expiratory volume in 1 second and exceeding baseline values by 12% on two or more visits; blood eosinophil count ≥300 cells·mm−3; and frequent exacerbations (P < 0.05). Conclusion: Urinary l-histidine could be a potential biomarker for ACO, regardless of the diversity of diagnostic definitions used.

1 May 2019 in International Journal of Chronic Obstructive Pulmonary Disease
Verified
Journal Article
Open access
PDF file
JCJuwhan Choi
Juwhan Choi
JOJee Youn Oh
Jee Youn Oh
YLYoung Seok Lee
Young Seok Lee
GHGyu-Young Hur
Gyu-Young Hur
SLSung Yong Lee
Sung Yong Lee
KMKyung Hoon Min
Kyung Hoon Min
Introduction: The use of antibiotics is based on the clinician’s experience and judgment, and antibiotics may often be overused in the treatment of acute exacerbations of chronic obstructive pulmonary disease (AECOPD). Eosinophils have been studied as biomarkers of bacterial infection and prognostic factors in chronic obstructive pulmonary disease and AECOPD. Thus, the purpose of this study was to determine whether eosinophils could be used to determine bacterial infection in AECOPD events. Methods: We retrospectively analyzed the medical records of patients admitted to Korea University Guro Hospital for AECOPD between January 2011 and May 2017. Data pertaining to baseline characteristics, results of previous pulmonary function tests, treatment information during the admission period, and history of pulmonary treatment were collected before admission. Results: A total of 736 AECOPD events were eligible for inclusion and were divided into two groups based on the eosinophil count: those involving eosinophil counts of less than 2% (546 events) and those involving counts of 2% or more (190 events). In univariate analysis, the only bacterial pathogen identification events and bacterial-viral pathogen co-identification events were significantly more frequent in the group with eosinophil counts of less than 2% (P=0.010 and P=0.001, respectively). In logistic regression analysis, the rates of only bacterial pathogen identification [odds ratios =1.744; 95% confidence interval, 1.107–2.749; P=0.017] and bacterial-viral pathogen co-identification [odds ratios=2.075; 95% confidence interval, 1.081–3.984; P=0.028] were higher in the group with eosinophil count less than 2%. Conclusion: In conclusion, eosinophil counts of less than 2% are potential indicators of a bacterial infection in AECOPD events. Eosinophils could thus serve as a reference for the use of antibiotics in AECOPD treatment.

1 October 2018 in International Journal of Chronic Obstructive Pulmonary Disease
Verified
Journal Article
Open access
PDF file
JOJee Youn Oh
Jee Youn Oh
YLYoung Seok Lee
Young Seok Lee
KMKyung Hoon Min
Kyung Hoon Min
GHGyu-Young Hur
Gyu-Young Hur
SLSung Yong Lee
Sung Yong Lee
JSJae Jeong Shim
Jae Jeong Shim
Purpose: Tuberculosis-associated COPD (T-COPD) has clinical characteristics similar to those of smoking-associated COPD (S-COPD), such as dyspnea, sputum production, and acute exacerbation (AE). However, the degree of systemic inflammation and prognosis might be different because of difference in the pathophysiology. The aim of this study was to compare the lung function, systemic inflammatory markers, and their impacts on AE in patients with S-COPD and T-COPD. Patients and methods: We performed a multicenter cross-sectional cohort study. We evaluated clinical characteristics, pulmonary function tests, levels of inflammatory markers, including C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), and IL-6, and the association of these markers with AE in patients with S-COPD and T-COPD. Results: Patients with T-COPD included more women and had lesser smoking history and higher St George Respiratory Questionnaire score than did patients with S-COPD. Although the FEV1 of both groups was similar, FVC, vital capacity, total lung capacity, and functional residual capacity were lower in patients with T-COPD than in those with S-COPD. CRP, ESR, and IL-6 levels were significantly higher in patients with T-COPD compared to patients with S-COPD. According to a multivariate logistic regression analysis, FEV1 was a significant factor predicting AE in S-COPD, and IL-6 was a significant factor predicting AE in T-COPD. IL-6 level greater than 2.04 pg/mL was a cutoff for predicting exacerbation of T-COPD (sensitivity 84.8%, specificity 59.3%, P<0.001). Conclusion: Patients with T-COPD have higher levels of inflammatory markers, and IL-6 has a predictive value for AE in T-COPD.

1 October 2018 in International Journal of Chronic Obstructive Pulmonary Disease
Verified
Journal Article
Open access
PDF file
JCJuwhan Choi
Juwhan Choi
JOJee Youn Oh
Jee Youn Oh
YLYoung Seok Lee
Young Seok Lee
GHGyu-Young Hur
Gyu-Young Hur
SLSung Yong Lee
Sung Yong Lee
KMKyung Hoon Min
Kyung Hoon Min
Introduction: Acute exacerbation of COPD (AECOPD) leads to rapid deterioration of pulmonary function and quality of life. It is unclear whether the prognosis for AECOPD differs depending on the bacterium or virus identified. The purpose of this study is to determine whether readmission of patients with severe AECOPD varies according to the bacterium or virus identified. Methods: We performed a retrospective review of medical records of 704 severe AECOPD events at Korea University Guro Hospital from January 2011 to May 2017. We divided events into two groups, one in which patients were readmitted within 30 days after discharge and the other in which there was no readmission. Results: Of the 704 events, 65 were followed by readmission within 30 days. Before propensity score matching, the readmission group showed a higher rate of bacterial identification with no viral identification and a higher rate of identification with the Pseudomonas aeruginosa (P=0.003 and P=0.007, respectively). Using propensity score matching, the readmission group still showed a higher P. aeruginosa identification rate (P=0.030), but there was no significant difference in the rate of bacterial identification, with no viral identification (P=0.210). In multivariate analysis, the readmission group showed a higher P. aeruginosa identification rate than the no-readmission group (odds ratio, 4.749; 95% confidence interval, 1.296–17.041; P=0.019). Conclusion: P. aeruginosa identification is associated with a higher readmission rate in AECOPD patients.

1 January 2019 in Yonsei Medical Journal
Verified
Journal Article
Open access
PDF file
JCJuwhan Choi
Juwhan Choi
JOJee Youn Oh
Jee Youn Oh
YLYoung Seok Lee
Young Seok Lee
GHGyu-Young Hur
Gyu-Young Hur
SLSung Yong Lee
Sung Yong Lee
KMKyung Hoon Min
Kyung Hoon Min
Choi J, et al. Yonsei Med J. 2019 Feb;60(2):216-222. https://doi.org/10.3349/ymj.2019.60.2.216