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Article ; Online: 2021 KSCCM clinical practice guidelines for pain, agitation, delirium, immobility, and sleep disturbance in the intensive care unit.

Seo, Yijun / Lee, Hak-Jae / Ha, Eun Jin / Ha, Tae Sun

2023 Volume 38, Issue 1, Page(s) 149

Language	English
Publishing date	2023-02-27
Publishing country	Korea (South)
Document type	Journal Article
ZDB-ID	3003021-3
ISSN	2586-6060 ; 2586-6052
ISSN (online)	2586-6060
ISSN	2586-6052
DOI	10.4266/acc.2022.00094.e1
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: 2021 KSCCM clinical practice guidelines for pain, agitation, delirium, immobility, and sleep disturbance in the intensive care unit.

Seo, Yijun / Lee, Hak-Jae / Ha, Eun Jin / Ha, Tae Sun

Acute and critical care

2022 Volume 37, Issue 1, Page(s) 1–25

Abstract: We revised and expanded the "2010 Guideline for the Use of Sedatives and Analgesics in the Adult Intensive Care Unit (ICU)." We revised the 2010 Guideline based mainly on the 2018 "Clinical Practice Guidelines for the Prevention and Management of Pain, ... ...

Abstract	We revised and expanded the "2010 Guideline for the Use of Sedatives and Analgesics in the Adult Intensive Care Unit (ICU)." We revised the 2010 Guideline based mainly on the 2018 "Clinical Practice Guidelines for the Prevention and Management of Pain, Agitation/Sedation, Delirium, Immobility, and Sleep Disruption (PADIS) in Adult Patients in the ICU," which was an updated 2013 pain, agitation, and delirium guideline with the inclusion of two additional topics (rehabilitation/mobility and sleep). Since it was not possible to hold face-to-face meetings of panels due to the coronavirus disease 2019 (COVID-19) pandemic, all discussions took place via virtual conference platforms and e-mail with the participation of all panelists. All authors drafted the recommendations, and all panelists discussed and revised the recommendations several times. The quality of evidence for each recommendation was classified as high (level A), moderate (level B), or low/very low (level C), and all panelists voted on the quality level of each recommendation. The participating panelists had no conflicts of interest on related topics. The development of this guideline was independent of any industry funding. The Pain, Agitation/Sedation, Delirium, Immobility (rehabilitation/mobilization), and Sleep Disturbance panels issued 42 recommendations (level A, 6; level B, 18; and level C, 18). The 2021 clinical practice guideline provides up-to-date information on how to prevent and manage pain, agitation/sedation, delirium, immobility, and sleep disturbance in adult ICU patients. We believe that these guidelines can provide an integrated method for clinicians to manage PADIS in adult ICU patients.
Language	English
Publishing date	2022-02-28
Publishing country	Korea (South)
Document type	Guideline
ZDB-ID	3003021-3
ISSN	2586-6060 ; 2586-6052
ISSN (online)	2586-6060
ISSN	2586-6052
DOI	10.4266/acc.2022.00094
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Successful blind lung isolation with the use of a novel double-lumen endobronchial tube in a patient undergoing lung transplantation with massive pulmonary secretion: A case report.

Seo, Yijun / Kim, Namo / Paik, Hyo Chae / Park, Dahee / Oh, Young Jun

Medicine

2019 Volume 98, Issue 33, Page(s) e16869

Abstract: Rationale: Precise lung isolation technique with visual confirmation is essential for thoracic surgeries to create a safe and clear surgical field. However, in certain situations, such as when patients have massive pulmonary secretion or when the ... ...

Abstract	Rationale: Precise lung isolation technique with visual confirmation is essential for thoracic surgeries to create a safe and clear surgical field. However, in certain situations, such as when patients have massive pulmonary secretion or when the fiberoptic bronchoscopy (FOB) is not applicable, lung isolation has been performed blindly. Patient concern: A 52-year-old woman, whose airway was unable to visualize with FOB due to massive pulmonary secretion, was presented for bilateral sequential lung transplantation. Extracorporeal membranous oxygenation, tracheostomy, and mechanical ventilation were applied to the patient for 39 days preoperatively as a bridge for lung transplantation. Diagnosis: Patient was diagnosed with an idiopathic pulmonary fibrosis and obesity. Intervention: Initially, height-based blind positioning with a conventional double-lumen endobronchial tube (DLT) failed to ventilate the patient properly, and the confirmation of DLT positioning with FOB was impossible due to massive pulmonary secretion. Therefore, a novel DLT (ANKOR DLT) that has one more cuff, located at a point between the distal opening of the tracheal lumen and the starting point of bronchial cuff, than conventional DLT was used for the lung isolation in the patient. Outcomes: After the completion of lung graft, FOB finding showed that the ANKOR DLT was optimally positioned at the tracheobronchial tree of the patient, and its depth was 2.5 cm shallower than that of the conventional tube. Lessons: ANKOR DLT would be a feasible choice to achieve successful blind lung isolation when the use of FOB is impossible to achieve the optimal lung isolation.
MeSH term(s)	Bronchoscopy/instrumentation ; Equipment Design ; Female ; Humans ; Idiopathic Pulmonary Fibrosis/complications ; Idiopathic Pulmonary Fibrosis/surgery ; Intubation, Intratracheal/methods ; Lung Transplantation/instrumentation ; Lung Transplantation/methods ; Middle Aged ; Obesity/complications ; One-Lung Ventilation/methods
Keywords	covid19
Language	English
Publishing date	2019-08-14
Publishing country	United States
Document type	Case Reports ; Journal Article
ZDB-ID	80184-7
ISSN	1536-5964 ; 0025-7974
ISSN (online)	1536-5964
ISSN	0025-7974
DOI	10.1097/MD.0000000000016869
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Postoperative nausea and vomiting after thyroidectomy: a comparison between dexmedetomidine and remifentanil as part of balanced anesthesia.

Choi, Eun Kyung / Seo, Yijun / Lim, Dong Gun / Park, Sungsik

Korean journal of anesthesiology

2017 Volume 70, Issue 3, Page(s) 299–304

Abstract: Background: Postoperative nausea and vomiting (PONV) is the major complication related to general anesthesia, occurring in 60-80% of patients after thyroidectomy. The objective of this study was to compare the effects of an intraoperative ... ...

Abstract	Background: Postoperative nausea and vomiting (PONV) is the major complication related to general anesthesia, occurring in 60-80% of patients after thyroidectomy. The objective of this study was to compare the effects of an intraoperative dexmedetomidine infusion with remifentanil, as anesthetic adjuvants of balanced anesthesia, on PONV in patients undergoing thyroidectomy. Methods: Eighty patients scheduled for thyroidectomy were randomized into the following two groups: 1) The dexmedetomidine group (Group D), who received an initial loading dose of dexmedetomidine (1 µg/kg over 10 min) during the induction of anesthesia, followed by a continuous infusion at a rate of 0.3-0.5 µg/kg/h; 2) the remifentanil group (group R), who received remifentanil at an initial target effect site concentration of 4 ng/ml during the induction of anesthesia, followed by a target effect site concentration of 2-3 ng/ml. PONV was assessed during the first 24 hours in 2 time periods (0-2 h and 2-24 h). The pain intensity, sedation score, extubation time, and hemodynamics were also assessed. Results: During the 2 time periods, the incidence and severity of PONV in group D were significantly lower than in group R. In addition, the need for rescue antiemetics was significantly lower in group D than in group R. The effect of dexmedetomidine on postoperative pain relief (2-24 h) was superior to that of remifentanil. The hemodynamics were similar in both groups, whereas eye opening and extubation time were delayed in group D. Conclusions: Adjuvant use of intraoperative dexmedetomidine infusion may be effective for the prevention of PONV.
Language	English
Publishing date	2017-06
Publishing country	Korea (South)
Document type	Journal Article
ZDB-ID	2557340-8
ISSN	2005-7563 ; 2005-6419
ISSN (online)	2005-7563
ISSN	2005-6419
DOI	10.4097/kjae.2017.70.3.299
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Dual cross-linked chitosan/alginate hydrogels prepared by Nb-Tz ‘click’ reaction for pH responsive drug delivery

Hoang, Huong Thi / Vu, Trung Thang / Karthika, Viswanathan / Jo, Sung-Han / Jo, Yi-Jun / Seo, Jeong-Woo / Oh, Chul-Woong / Park, Sang-Hyug / Lim, Kwon Taek

Carbohydrate polymers. 2022 Mar. 18,

2022

Abstract: A novel physically and chemically double-crosslinked hydrogel derived from chitosan oligosaccharide/alginate (COS/Alg) was developed by using norbornene (Nb)-tetrazine (Tz) click reaction for ketoprofen delivery. The properties of the hydrogel were ... ...

Abstract	A novel physically and chemically double-crosslinked hydrogel derived from chitosan oligosaccharide/alginate (COS/Alg) was developed by using norbornene (Nb)-tetrazine (Tz) click reaction for ketoprofen delivery. The properties of the hydrogel were evaluated by rheological, FTIR, TGA, XRD, SEM, swelling and drug release studies. The Nb-Tz chemical cross-linking facilitated outstanding hydrophobic drug loading (44% wt/wt of ketoprofen) and sustained release through a hydrophobic interaction mechanism between the drug and the used polysaccharides. The COS/Alg electrostatics network (10/10 of NH₂/COOH molar ratio) generated the pH responsiveness, suppressing the release in simulated gastric fluid (below 10% for 2 h) and enhancing the release in simulated intestinal fluids (up to 84% for 24 h). The prepared hydrogel was non-toxic to human HEK-293 cells (95% cell viability). This work opens up a potential approach for preparing hydrophilic hydrogels from natural polysaccharides that can be used in the delivery of hydrophobic drugs.
Keywords	alginates ; cell viability ; chitosan ; crosslinking ; gastric juice ; humans ; hydrogels ; hydrophilicity ; hydrophobic bonding ; hydrophobicity ; intestines ; ketoprofen ; oligosaccharides ; pH
Language	English
Dates of publication	2022-0318
Publishing place	Elsevier Ltd
Document type	Article
Note	Pre-press version
ZDB-ID	1501516-6
ISSN	1879-1344 ; 0144-8617
ISSN (online)	1879-1344
ISSN	0144-8617
DOI	10.1016/j.carbpol.2022.119389
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Dual cross-linked chitosan/alginate hydrogels prepared by Nb-Tz 'click' reaction for pH responsive drug delivery.

Hoang, Huong Thi / Vu, Trung Thang / Karthika, Viswanathan / Jo, Sung-Han / Jo, Yi-Jun / Seo, Jeong-Woo / Oh, Chul-Woong / Park, Sang-Hyug / Lim, Kwon Taek

Carbohydrate polymers

2022 Volume 288, Page(s) 119389

Abstract	A novel physically and chemically double-crosslinked hydrogel derived from chitosan oligosaccharide/alginate (COS/Alg) was developed by using norbornene (Nb)-tetrazine (Tz) click reaction for ketoprofen delivery. The properties of the hydrogel were evaluated by rheological, FTIR, TGA, XRD, SEM, swelling and drug release studies. The Nb-Tz chemical cross-linking facilitated outstanding hydrophobic drug loading (44% wt/wt of ketoprofen) and sustained release through a hydrophobic interaction mechanism between the drug and the used polysaccharides. The COS/Alg electrostatics network (10/10 of NH
MeSH term(s)	Alginates/chemistry ; Chitosan/chemistry ; Drug Carriers/chemistry ; Drug Delivery Systems ; Drug Liberation ; HEK293 Cells ; Humans ; Hydrogels/chemistry ; Hydrogen-Ion Concentration ; Ketoprofen ; Niobium ; Norbornanes
Chemical Substances	Alginates ; Drug Carriers ; Hydrogels ; Norbornanes ; Niobium (05175J654G) ; 2-norbornene (2Q51FLS550) ; Chitosan (9012-76-4) ; Ketoprofen (90Y4QC304K)
Language	English
Publishing date	2022-03-23
Publishing country	England
Document type	Journal Article
ZDB-ID	1501516-6
ISSN	1879-1344 ; 0144-8617
ISSN (online)	1879-1344
ISSN	0144-8617
DOI	10.1016/j.carbpol.2022.119389
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Multi-center validation of machine learning model for preoperative prediction of postoperative mortality.

Lee, Seung Wook / Lee, Hyung-Chul / Suh, Jungyo / Lee, Kyung Hyun / Lee, Heonyi / Seo, Suryang / Kim, Tae Kyong / Lee, Sang-Wook / Kim, Yi-Jun

NPJ digital medicine

2022 Volume 5, Issue 1, Page(s) 91

Abstract: Accurate prediction of postoperative mortality is important for not only successful postoperative patient care but also for information-based shared decision-making with patients and efficient allocation of medical resources. This study aimed to create a ...

Abstract	Accurate prediction of postoperative mortality is important for not only successful postoperative patient care but also for information-based shared decision-making with patients and efficient allocation of medical resources. This study aimed to create a machine-learning prediction model for 30-day mortality after a non-cardiac surgery that adapts to the manageable amount of clinical information as input features and is validated against multi-centered rather than single-centered data. Data were collected from 454,404 patients over 18 years of age who underwent non-cardiac surgeries from four independent institutions. We performed a retrospective analysis of the retrieved data. Only 12-18 clinical variables were used for model training. Logistic regression, random forest classifier, extreme gradient boosting (XGBoost), and deep neural network methods were applied to compare the prediction performances. To reduce overfitting and create a robust model, bootstrapping and grid search with tenfold cross-validation were performed. The XGBoost method in Seoul National University Hospital (SNUH) data delivers the best performance in terms of the area under receiver operating characteristic curve (AUROC) (0.9376) and the area under the precision-recall curve (0.1593). The predictive performance was the best when the SNUH model was validated with Ewha Womans University Medical Center data (AUROC, 0.941). Preoperative albumin, prothrombin time, and age were the most important features in the model for each hospital. It is possible to create a robust artificial intelligence prediction model applicable to multiple institutions through a light predictive model using only minimal preoperative information that can be automatically extracted from each hospital.
Language	English
Publishing date	2022-07-12
Publishing country	England
Document type	Journal Article
ISSN	2398-6352
ISSN (online)	2398-6352
DOI	10.1038/s41746-022-00625-6
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Multi-center validation of machine learning model for preoperative prediction of postoperative mortality

Seung Wook Lee / Hyung-Chul Lee / Jungyo Suh / Kyung Hyun Lee / Heonyi Lee / Suryang Seo / Tae Kyong Kim / Sang-Wook Lee / Yi-Jun Kim

npj Digital Medicine, Vol 5, Iss 1, Pp 1-

2022 Volume 10

Abstract: Abstract Accurate prediction of postoperative mortality is important for not only successful postoperative patient care but also for information-based shared decision-making with patients and efficient allocation of medical resources. This study aimed to ...

Abstract	Abstract Accurate prediction of postoperative mortality is important for not only successful postoperative patient care but also for information-based shared decision-making with patients and efficient allocation of medical resources. This study aimed to create a machine-learning prediction model for 30-day mortality after a non-cardiac surgery that adapts to the manageable amount of clinical information as input features and is validated against multi-centered rather than single-centered data. Data were collected from 454,404 patients over 18 years of age who underwent non-cardiac surgeries from four independent institutions. We performed a retrospective analysis of the retrieved data. Only 12–18 clinical variables were used for model training. Logistic regression, random forest classifier, extreme gradient boosting (XGBoost), and deep neural network methods were applied to compare the prediction performances. To reduce overfitting and create a robust model, bootstrapping and grid search with tenfold cross-validation were performed. The XGBoost method in Seoul National University Hospital (SNUH) data delivers the best performance in terms of the area under receiver operating characteristic curve (AUROC) (0.9376) and the area under the precision-recall curve (0.1593). The predictive performance was the best when the SNUH model was validated with Ewha Womans University Medical Center data (AUROC, 0.941). Preoperative albumin, prothrombin time, and age were the most important features in the model for each hospital. It is possible to create a robust artificial intelligence prediction model applicable to multiple institutions through a light predictive model using only minimal preoperative information that can be automatically extracted from each hospital.
Keywords	Computer applications to medicine. Medical informatics ; R858-859.7
Subject code	310
Language	English
Publishing date	2022-07-01T00:00:00Z
Publisher	Nature Portfolio
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Time-sequential change in immune-related gene expression after irradiation in glioblastoma: next-generation sequencing analysis.

Kim, Yi-Jun / Kim, Kwangsoo / Seo, Soo Yeon / Yu, Juyeon / Kim, Il Han / Kim, Hak Jae / Park, Chul-Kee / Lee, Kye Hwa / Choi, Junjeong / Song, Myung Seon / Kim, Jin Ho

Animal cells and systems

2021 Volume 25, Issue 4, Page(s) 245–254

Abstract: The time-sequential change in immune-related gene expression of the glioblastoma cell line after irradiation was evaluated to speculate the effect of combined immunotherapy with radiotherapy. The U373 MG glioblastoma cell line was irradiated with 6 Gy ... ...

Abstract	The time-sequential change in immune-related gene expression of the glioblastoma cell line after irradiation was evaluated to speculate the effect of combined immunotherapy with radiotherapy. The U373 MG glioblastoma cell line was irradiated with 6 Gy single dose. Next-generation sequencing (NGS) transcriptome data was generated before irradiation (control), and at 6, 24, and 48 h post-irradiation. Immune-related pathways were analyzed at each time period. The same analyses were also performed for A549 lung cancer and U87 MG glioblastoma cell lines. Western blotting confirmed the programmed death-ligand 1 (PD-L1) expression levels over time. In the U373 MG cell line, neutrophil-mediated immunity, type I interferon signaling, antigen cross-presentation to T cell, and interferon-
Language	English
Publishing date	2021-07-30
Publishing country	England
Document type	Journal Article
ZDB-ID	2562988-8
ISSN	2151-2485 ; 1976-8354
ISSN (online)	2151-2485
ISSN	1976-8354
DOI	10.1080/19768354.2021.1954550
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Time-sequential change in immune-related gene expression after irradiation in glioblastoma

Yi-Jun Kim / Kwangsoo Kim / Soo Yeon Seo / Juyeon Yu / Il Han Kim / Hak Jae Kim / Chul-Kee Park / Kye Hwa Lee / Junjeong Choi / Myung Seon Song / Jin Ho Kim

Animal Cells and Systems, Vol 25, Iss 4, Pp 245-

next-generation sequencing analysis

2021 Volume 254

Abstract	The time-sequential change in immune-related gene expression of the glioblastoma cell line after irradiation was evaluated to speculate the effect of combined immunotherapy with radiotherapy. The U373 MG glioblastoma cell line was irradiated with 6 Gy single dose. Next-generation sequencing (NGS) transcriptome data was generated before irradiation (control), and at 6, 24, and 48 h post-irradiation. Immune-related pathways were analyzed at each time period. The same analyses were also performed for A549 lung cancer and U87 MG glioblastoma cell lines. Western blotting confirmed the programmed death-ligand 1 (PD-L1) expression levels over time. In the U373 MG cell line, neutrophil-mediated immunity, type I interferon signaling, antigen cross-presentation to T cell, and interferon-γ signals began to increase significantly at 24 h and were upregulated until 48 h after irradiation. The results were similar to those of the A549 and U87 MG cell lines. Without T cell infiltration, PD-L1 did not increase even with upregulated interferon-γ signaling in cancer cells. In conclusions, in the glioblastoma cell line, immune-related signals were significantly upregulated at 24 and 48 h after irradiation. Therefore, the time interval between daily radiotherapy might not be enough to expect full immune responses by combined immune checkpoint inhibitors and newly infiltrating immune cells after irradiation.
Keywords	glioblastoma ; radiotherapy ; immune-related signals ; next-generation sequencing ; transcriptome ; Medicine (General) ; R5-920 ; Biology (General) ; QH301-705.5
Subject code	570
Language	English
Publishing date	2021-07-01T00:00:00Z
Publisher	Taylor & Francis Group
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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