Seung Soo Sheen

Dr. Seung Soo Sheen

orcid

Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

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

Representative Publications

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1 January 2015 in Journal of Korean Medical Science
Verified
Journal Article
Open access
PDF file
TSTae Rim Shin
Tae Rim Shin
YOYeon-mok Oh
Yeon-mok Oh
JPJoo-hun Park
Joo-hun Park
KLKeu Sung Lee
Keu Sung Lee
VOVera-Khlara S. Oh
Vera-Khlara S. Oh
SLSang-Do Lee
Sang-Do Lee
Shin TR, et al. J Korean Med Sci. 2015 Oct;30(10):1459-1465. https://doi.org/10.3346/jkms.2015.30.10.1459

1 January 2015 in Journal of the Korean Medical Association
Verified
Journal Article
Open access
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SJSeung Hun Jang
Seung Hun Jang
SSSeung Soo Sheen
Seung Soo Sheen
HKHyae Young Kim
Hyae Young Kim
HYHyeon Woo Yim
Hyeon Woo Yim
BPBoyoung Park
Boyoung Park
SSSookwhan Sung
Sookwhan Sung
Jang SH, et al. J Korean Med Assoc. 2015 Apr;58(4):291-301. http://dx.doi.org/10.5124/jkma.2015.58.4.291

5 October 2023 in Bioengineering
Verified
Journal Article
Open access
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JPJi-Eun Park
Ji-Eun Park
DKDo Young Kim
Do Young Kim
JPJi Won Park
Ji Won Park
YJYun Jung Jung
Yun Jung Jung
KLKeu Sung Lee
Keu Sung Lee
WCWou Young Chung
Wou Young Chung
Discontinuing mechanical ventilation remains challenging. We developed a machine learning model to predict weaning outcomes using only continuous monitoring parameters obtained from ventilators during spontaneous breathing trials (SBTs). Patients who received mechanical ventilation in the medical intensive care unit at a tertiary university hospital from 2019–2021 were included in this study. During the SBTs, three waveforms and 25 numerical data were collected as input variables. The proposed convolutional neural network (CNN)-based weaning prediction model extracts features from input data with diverse lengths. Among 138 enrolled patients, 35 (25.4%) experienced weaning failure. The dataset was randomly divided into training and test sets (8:2 ratio). The area under the receiver operating characteristic curve for weaning success by the prediction model was 0.912 (95% confidence interval [CI], 0.795–1.000), with an area under the precision-recall curve of 0.767 (95% CI, 0.434–0.983). Furthermore, we used gradient-weighted class activation mapping technology to provide visual explanations of the model’s prediction, highlighting influential features. This tool can assist medical staff by providing intuitive information regarding readiness for extubation without requiring any additional data collection other than SBT data. The proposed predictive model can assist clinicians in making ventilator weaning decisions in real time, thereby improving patient outcomes.

1 December 2017 in The International Journal of Tuberculosis and Lung Disease
Verified
Journal Article
Closed access
WCWou Young Chung
Wou Young Chung
YJYun Jung Jung
Yun Jung Jung
KLK. Lee
K. Lee
KPKwang Joo Park
Kwang Joo Park
SSSeung Soo Sheen
Seung Soo Sheen
KPK. Park
K. Park
SETTING: A tertiary care academic medical centre.OBJECTIVE: To evaluate the clinical usefulness of C-X-C motif chemokine receptor 3 (CXCR3) ligands in tuberculous pleural effusion (TPE).DESIGN: We recruited 336 patients with pleural effusion due to various causes. Concentrations of interferon-gamma (IFN-γ) and the CXCR3 ligands CXCL9 and CXCL11 were determined using enzyme immunoassays; adenosine deaminase (ADA) activity was measured in pleural fluid and serum.RESULTS: TPE was diagnosed in 106 patients. Non-TB conditions included lung cancer (n = 95), para-pneumonic effusion (n = 52), non-lung malignancy (n = 30), other exudate (n = 24) and transudate (n = 29) disorders. All marker levels in serum samples and pleural fluid were significantly higher in the TPE group. Analyses of receiver operating characteristic curves for differentiating TPE from non-TB effusions produced the following results for the area under the curve (AUC) for CXCL9, CXCL11, IFN-γ and ADA, respectively: 0.982, 0.952, 0.982, and 0.952. Marker AUCs in lymphocytic exudates were also high. Combining the levels of CXCL9, IFN-γ and ADA in pleural fluid improved the diagnostic performance. Serum levels of CXCL9 had the highest AUC (0.848) for diagnosing TPE.CONCLUSION: Levels of CXR3 ligands in pleural effusion are useful for diagnosing TPE.

1 November 2021 in Epidemiology and Health
Verified
Journal Article
Open access
PDF file
YJYeong Jun Ju
Yeong Jun Ju
Seungho LeeSeungho Lee
Seungho Lee
SSSeung Soo Sheen
Seung Soo Sheen
DCDong-Woo Choi
Dong-Woo Choi
JLJong-Han Leem
Jong-Han Leem
Weon-Young LeeWeon-Young Lee
Weon-Young Lee
OBJECTIVES: We aimed to determine the characteristics of the deceased victims of deaths caused by exposure to humidifier disinfectants, and present the distribution of the victims’ data submitted for damage application, demographic characteristics, imaging findings, characteristics of humidifier disinfectant exposure, and distribution of the causes of death.METHODS: An integrated database of victims was established using the medical records data of 1,413 victims submitted during the application for death damage caused by exposure to humidifier disinfectants, and the demographic characteristics, medical records, imaging findings, exposure characteristics, and cause of death were examined.RESULTS: The average numbers of data submissions of each applicant for death damage were 3.0 medical use records. A total of 608 (43.0%) victims had more than one finding of acute, subacute, or chronic interstitial lung diseases. The average daily and cumulative use times of the victims were 14.40 and 24,645.81 hours, respectively, indicating greater exposure in this group than in the survivors. The humidifier disinfectants’ components comprised polyhexamethylene guanidine (72.8%), chloromethylisothiazolinone/methylisothiazolinone (10.5%), other components (15.0%), and oligo-[2-(2-ethoxy)-ethoxyethyl] guanidine chloride (1.5%). The components’ distribution was 67.8% for single-component use, which was higher than that in the survivors (59.8%). The distribution of the causes of death were: respiratory diseases (54.4%), neoplasms (16.8%), and circulatory diseases (6.3%). Other interstitial lung diseases (65.5%) were the most common cause of death among those who died due to respiratory diseases.CONCLUSIONS: Careful discussions of appropriate remedies should be conducted based on a comprehensive understanding of the characteristics of the deceased victims, considering their specificities and limitations.

1 January 2024 in International Journal of Chronic Obstructive Pulmonary Disease
Verified
Journal Article
Open access
PDF file
EKEun Kyung Kim
Eun Kyung Kim
ELEunyoung Lee
Eunyoung Lee
JPJi Eun Park
Ji Eun Park
JLJae Seung Lee
Jae Seung Lee
HCHYE SOOK CHOI
HYE SOOK CHOI
JPJoo-hun Park
Joo-hun Park
Background: COPD coexists with many concurrent comorbidities. Cardiovascular complications are deemed to be major causes of death in COPD. Although inhaler therapy is the main therapeutic intervention in COPD, cardiovascular events accompanying inhaler therapy require further investigation. Therefore, this study aimed to investigate new development of cardiovascular events according to each inhaler therapy and comorbidities. Methods: This study analyzed COPD patients (age ≥ 40 years, N = 199,772) from the Health Insurance Review and Assessment Service (HIRA) database in Korea. The development of cardiovascular events, from the index date to December 31, 2020, was investigated. The cohort was eventually divided into three arms: the LAMA/LABA group (N = 28,322), the ICS/LABA group (N = 11,812), and the triple group (LAMA/ICS/LABA therapy, N = 6174). Results: Multivariable Cox analyses demonstrated that, compared to ICS/LABA therapy, triple therapy was independently associated with the development of ischemic heart disease (HR: 1.22, 95% CI: 1.04– 1.43), heart failure (HR: 1.45, 95% CI: 1.14– 1.84), arrhythmia (HR: 1.72, 95% CI: 1.41– 2.09), and atrial fibrillation/flutter (HR: 2.31, 95% CI: 1.64– 3.25), whereas the LAMA/LABA therapy did not show a significant association. Furthermore, emergency room visit during covariate assessment window was independently associated with the development of ischemic heart disease, heart failure, arrhythmia, and atrial fibrillation/flutter (p < 0.05). Conclusion: Our data suggest that cardiovascular risk should be considered in COPD patients receiving triple therapy, despite the confounding bias resulting from disparities in each group.