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Kim, Kyuseok,Ha, Injin,Kim, Eunok,Kim, Kyunglee Williams & Wilkins Co 2017 Medicine Vol.96 No.45
<P><B>Abstract</B></P><P>Acne is a multifactorial dermatosis, which is influenced not only by hormones but also by the biochemical relationship between them and the pilosebaceous unit. Inflammatory cytokines, chemokines, active oxygen, and zinc are known to be associated with the development of acne. Further, steroid metabolism is known as one of the important factors related to sebum secretion and comedone formation in acne. However, there is a lack of studies comparing these human biomarkers between healthy individuals and patients with acne. In particular, no study has investigated the relationship between human biomarkers and patterns of acne yet.</P><P>The purpose of this study is to investigate diagnostic human biomarkers in acne by comparing the biological and metabolic biomarkers between healthy individuals and patients with acne and identify the relationship between human biomarkers and patterns of acne.</P><P>This study is a protocol for a cross-sectional study. Forty healthy participants and 60 patients with acne will be recruited at 1 center. We will collect their blood samples and analyze the molecular biological and metabolic biomarkers (cytokines, chemokines, reactive oxygen species, corticotropin-releasing hormone, zinc, amino acid, 1-carbon metabolite, lipid metabolite, etc.). Further, we will administer questionnaires regarding their diet, sleep, stress, and other factors relating to acne and measure their skin elasticity.</P><P>The study protocol was approved by the Institutional Review Board of Oriental Medical Hospital at Kyung Hee Medical Center (KOMCIRB-161118-HR-062). Written informed consent will be obtained from all the participants. The trial was registered in the Clinical Research Information Service, Republic of Korea: KCT0002212.</P><P>This trial will provide evidence regarding diagnostic human biomarkers in acne and the relationship between the human biomarkers and patterns of acne.</P>
Multiple Shock Failures during Resuscitation: Risk Factors and Prognostic Implications
( Joonghee Kim ),( Taeyun Kim ),( Joong Eui Rhee ),( Kyuseok Kim ),( You Hwan Jo ),( Jae Hyuk Lee ),( Yu Jin Kim ),( Hyuk Sool Kwon ),( Jae Yun Jung ) 대한응급의학회 2016 대한응급의학회지 Vol.27 No.2
Purpose: Electrical shock is not always followed by a perfusing rhythm, and multiple shock failure (MSF) is common during CPR. We sought to investigate its risk factors and prognostic implications. Methods: Adult OHCA patients with emergency department (ED) ACLS attempts were identified from a tertiary hospital OHCA registry extending from 2008 to 2012. Shock failure was defined as any electrical shock attempt not followed by a pulse-generating rhythm. Patients were assigned to one of three groups based on the number of shock failures: 1) MSF: ≥3 electrical shock failures before the first ROSC or CPR termination (if there was no ROSC), 2) early shock success (ESS): pulse-generating rhythm achieved within 3 electrical shock attempts and 3) others: all remaining patients. Baseline characteristics, initial laboratory measurements, and outcomes were compared. Results: A total of 590 patients were included. There was no significant difference in baseline characteristics between the MSF group (n=49) and the early shock success group (n=50) except in its higher proportion of presumed cardiac aetiology. The MSF group showed less severe metabolic acidosis and coagulopathy on ED arrival and better renal function and higher haematocrit and serum albumin levels compared with the ESS group. MSF was associated with less sustained ROSC, but was also associated with more survival discharge and better long-term neurologic outcomes after sustained ROSC. Conclusion: MSF may indicate heart-specific problems rather than severe metabolic derangements. Better longterm outcomes can be expected once sustained ROSC is achieved, therefore, this phenomenon warrants more focused research.
In Silico Evaluation of Glucose Control Protocols for Critically Ill Patients
Lee, Jung Chan,Kim, Myeungseon,Choi, Ka Ram,Oh, Tae Jung,Kim, Min Young,Cho, Young Min,Kim, Kyuseok,Kim, Hee Chan,Kim, Sungwan IEEE 2012 IEEE Transactions on Biomedical Engineering Vol.59 No.1
<P>This letter presents an in silico evaluation method of glucose control protocols for critically ill patients with hyperglycemia. Although various glucose control protocols were introduced and investigated in clinical trials, development and validation of a novel glucose control protocol for critically ill patients require too much time and resources in clinical evaluation. We employed a virtual patient model of the critically ill patient with hyperglycemia and evaluated the clinically investigated glucose control protocols in a computational environment. The three-day simulation results presented the time profiles of glucose and insulin concentrations, the amount of enteral feed and intravenous bolus of glucose, and the intravenous insulin infusion rate. The hyperglycemia and hypoglycemia index, blood glucose concentrations, insulin doses, intravenous glucose infusion rates, and glucose feed rates were compared between different protocols. It is shown that a similar hypoglycemia incidence exists in simulation and clinical results. We concluded that this in silico simulation method using a virtual patient model could be useful for predicting hypoglycemic incidence of novel glucose control protocols for critically ill patients, prior to clinical trials.</P>
Joo, Seung-Moon,Lee, Kyoung Ho,Kim, Young Hoon,Kim, So Yeon,Kim, Kyuseok,Kim, Kil Joong,Kim, Bohyoung Radiological Society of North America 2009 Radiology Vol.251 No.3
<P>PURPOSE: To determine the frequency of normal appendix visualization at low-dose (LD) unenhanced computed tomography (CT) performed with a 16- or 64-detector row scanner when images are reviewed by using the sliding slab averaging technique. MATERIALS AND METHODS: The institutional review board approved the study and waived the informed consent requirement. A total of 259 patients, 37 (14.3%) of whom had previously undergone appendectomy, underwent LD unenhanced CT (mean effective dose, 1.7 mSv) performed with a 16- or 64-detector row scanner to assess urinary colic. Three readers used the sliding slab averaging technique to retrospectively review the thin-section (0.67- or 2.00-mm section thickness) images and grade the appendix as absent, unsurely or partly visualized, or clearly and entirely visualized. Interobserver agreement was measured with weighted kappa statistics. McNemar tests were used to compare sensitivity between the readers. Logistic regression analysis was performed to assess the effects of body mass index, patient sex, and type of CT scanner on appendiceal visualization. RESULTS: The kappa statistics for each reader pair were as follows: 0.97 for agreement between readers 1 and 2, 0.93 for agreement between readers 2 and 3, and 0.92 for agreement between readers 1 and 3. Each reader clearly identified the entire appendix in 213 (96.0%), 209 (94.1%), and 205 (92.3%) of the 222 patients without a history of appendectomy. When unsurely or partly visualized appendices were included, the frequencies increased to 99.1% (n = 220), 98.7% (n = 219), and 97.3% (n = 216), respectively, for readers 1, 2, and 3. These frequencies rarely differed between the readers. (P values ranged from .021 to greater than .99.) The three readers consistently reported that the appendix was not visualized in the 37 patients who had undergone appendectomy. None of the tested variables significantly affected appendix visualization. CONCLUSION: Most normal appendices are visualized on thin-section LD unenhanced CT images reviewed with the sliding slab averaging technique.</P>
Deep Learning Model for Vehicle Lane-Change Detection in Phantom Traffic Jam Using CCTV Images
Kyuseok Kim 중앙대학교 영상콘텐츠융합연구소 2021 TechArt :Journal of Arts and Imaging Science Vol.8 No.4
Traffic jams are a threat to safety and can result in economic losses. Traffic jams that occur for no specific reason are called phantom traffic jams. If there are many cars on the road, all the cars try to choose a faster route. In this case, the following cars have no choice but to slow down to avoid an accident, resulting in congestion. In this paper, an artificial intelligence model based on image deep learning for vehicle lane-change detection in phantom traffic jams is proposed. Pictures were captured every 0.2 s from a real-time CCTV video of one position in Seoul. The precision of the proposed model for determining and detecting vehicle lane change was found to be 0.842. The proposed model is expected to help analyze the impact of phantom traffic jams on traffic flow.
English Symposium 7: Critical Care : ES7-3 ; Fluid Management in Critically-ill Patients
( Kyuseok Kim ) 대한응급의학회 2014 대한응급의학회 학술대회초록집 Vol.2014 No.2
The follow topics covered in this lecture 1. Which fluid should be given in critically ill patients? A. Crystalloids vs Colloids B. Balanced vs. Unbalanced crystalloid C. Artificial vs. Natural colloids 2. How much should we give fluids to patients?
Kim, Jin-Sun,Choi, Kyuseok,Kim, Ju-Jin,Noh, Dong-Youn,Park, Sang-Kyu,Lee, Ha-Jin,Lee, Haeseong American Scientific Publishers 2007 Journal of Nanoscience and Nanotechnology Vol.7 No.11
<P>We observed that single-walled carbon nanotube (SWNT) was aligned in the presence of TTF. This alignment was induced by a specific interaction between SWNT and tetrathiafulvalene (TTF), a well-known organic donor. The interaction between the two molecules can be explained by a charge-transfer, which was confirmed by X-ray photoelectron spectroscopy (XPS) and Raman spectroscopy. The binding energies of S (2P1/2) and S (2P3/2) were shifted from 163.0 eV and 164.1 eV to 163.9 eV and 165.1 eV, respectively. In Raman spectra of the SWNT-TTF, three peaks of SWNT in radial breathing mode were also upshifted by 4-5 cm<SUP>−1</SUP>. The charge-transfer interaction also contributed in modifying the electronic structure of SWNT and furthermore enhanced the electrical conductivity of SWNT. A more conductive thin film was fabricated using the SWNT-TTF. Four-probe measurement revealed that the surface resistance of the SWNT-TTF film was reduced to 4.359 Ω at room temperature while that of SWNT film was 6.894 Ω. These results enable carbon nanotubes to be utilized more for practically for industrial applications in fabricating peculiar nano-sized building blocks.</P>