• Korean Journal of Acupuncture
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• v.34 no.3
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• pp.126-135
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• 2017

Objectives : The purpose of this study was to describe the type of claimed adverse events related to Korean Medicine practices in South Korea. Methods : Claims with regard to the Korean Medicine practice submitted to the Korea Medical Dispute Mediation and Arbitration Agency from April 2012 to December 2016 were collected. We analyzed claims that explicitly reported the type of Korean medicine intervention and were deemed as being adverse events as defined by the Korea Good Clinical Practice. Claims that did not mention the Korean medicine practice explicitly or those related to the patient's dissatisfaction to the service rather than adverse health outcomes were excluded. Types, related interventions and the suspected severity of claimed adverse events were summarized. Results : Of 197 claims obtained, 140 claim cases were eligible and 144 claimed events were deemed as possible adverse events of the Korean medicine practice. Pain(16%), local infection/inflammation(12%) and neurological symptoms(11%) were the most frequently reported types of claimed adverse events. Thirty-nine claimed serious adverse events(SAE) were identified, including pneumothorax(28.2%) and death(17.9%). Conclusions : A wide range of claimed adverse events were identified. Routine monitoring of claims data may provide undetected safety information with regard to the Korean medicine practice. High risk of misclassification of the intervention and claimed adverse events due to insufficient information is the main caveat of this study.

• Korean Journal of Clinical Pharmacy
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• v.15 no.1
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• pp.1-8
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• 2005

Clopidogrel is used to reduce the risk of cardiovascular events in patients with atherosclerosis documented by recent ischemic stroke, recent myocardial infarction (MI), or established peripheral arterial disease (secondary prevention). Clopidogrel is metabolized by CYP3A4, and the active metabolites inhibit platelet aggregation. The purpose of this study was to assess clopidogrel only versus clopidogrel + others (aspirin, CYP3A4 inhibitor, and CYPBA4 inducer) in terms of cardiovasculalr events and bleeding complications. We reviewed the charts of patients who visited between August 1, 2002 and August 31, 2003, retrospectively. Total 72 patients were included and they consisted of 5 groups; clopidogrel group (n=36), clopidogrel + aspirin group (n=11), clopidogrel + CYP3A4 inhibitor group (n=15), clopidogrel + aspirin + CYP3A4 inhibitor group (n=6), clopidorel + CYP3A4 inducer group (n=4). The primary endpoints at 6 months, 12 months were the composite of cardiovascular (CV) events. The secondary end-point was the incidence of bleeding events at 6months, and 12months. At 12months, the primary endpoint was not significantly different among the five groups (p=0.056). In comparison of two groups as clopidogrel only versus clopidogrel + others (aspirin, CYP3A4 inhibitor and CYP3A4 inducer), the primary endpoint was significantly different (p=0.02). The CV events were increased in the clopidogrel + others group. The secondary end point was not significantly different among the five groups (p=0.52). However, time to bleeding events was 230.8 in the clopidogrel group and 74.7 in the clopidogrel + others group (p = 0.046). In conclusion, clopidogrel interaction with aspirin, CYP3A4 inhibitor, and CYP3A4 inducer affected cardiovascular events and bleeding events. Drug interaction of clopidogrel with concurrent medications should be considered cautiously.

• Journal of Korean Critical Care Nursing
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• v.14 no.2
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• pp.70-81
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• 2021

Purpose : The purpose of this study was to identify the moderating effects of emotional intelligence on the relationship between traumatic events and turnover intention among nurses working in intensive care units (ICUs). Method : In this predictive correlation study, the convenience sample included 133 ICU nurses. Data were collected using an online, structured self-report survey. The collected data were analyzed by descriptive statistics, an independent t-test, an analysis of variance, Pearson's correlation coefficient, and a hierarchical multiple regression analysis using SPSS/WIN 25.0. Results : The most frequently experienced traumatic events in ICUs were "nursing patients with abnormal behavior, including shouting and delirium," "end-of-life care," and "nursing patients with a risk of disease transmission, including AIDS and tuberculosis." The moderating effect of emotional intelligence was found to be statistically significant on the relationship between traumatic events and turnover intentions (𝛽=-0.15, p =.029). Conclusion : Intervention to improve the emotional intelligence of ICU nurses can be a salient strategy to reduce turnover intention resulting from traumatic events.

• The Korean Journal of Health Service Management
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• v.11 no.1
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• pp.159-169
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• 2017

Objectives : The purpose of this descriptive observational study was to identify the factors influencing the nutritional status of patients with liver cancer receiving transarterial chemoembolization(TACE) Methods : A total of 100 participants were enrolled in this study. Data were collected and descriptive statistics and logistic regression were performed. Results : Among participants, 41.0% had a risk of malnutrition and 59.0% had a normal nutritional status. Statistically significant differences between the normal and risk groups were found for the following factors: occupation; economical status; regular exercise; underlying disease; adverse events right after TACE; current adverse events; duration after TACE; depression; and self-care performance. Underlying disease(OR=5.134, p=.005) and self-care performance(OR=0.931, p=.032) had statistically associated with nutritional status. Conclusions : The findings suggest that underlying disease and self-care performance influence the nutritional status among liver cancer patients receiving transcatheter arterial chemoembolization(TACE).

• Journal of the Korea Safety Management & Science
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• v.4 no.1
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• pp.37-47
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• 2002

Risk analysis is a formal deductive procedure for determining combinations of component failures and human errors that could result in the occurrence of specified undesired events at the system level. This method can be used to analyze the vast majority of industrial system reliability problems. This study deals with the application of knowledge-engineering and a methodology for the assessment ＆ measurement of reliability, availability, maintainability, and safety of industrial systems using FTA(fault tree analysis), A fuzzy methodology for fault-tree evaluation seems to be an alternative solution to overcome the drawbacks of the conventional approach (insufficient Information concerning the relative frequencies of hazard events). To improve the quality of results, the membership functions must be approximated based on heuristic considerations, The purpose of this study is to describe the knowledge engineering approach, directed to integrate the various sources of knowledge involved in a FTA.

• Communications for Statistical Applications and Methods
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• v.26 no.3
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• pp.239-259
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• 2019

The transmuted generalized extreme value (TGEV) distribution was first introduced by Aryal and Tsokos (Nonlinear Analysis: Theory, Methods & Applications, 71, 401-407, 2009) and applied by Nascimento et al. (Hacettepe Journal of Mathematics and Statistics, 45, 1847-1864, 2016). However, they did not give explicit expressions for all the moments, tail behaviour, quantiles, survival and risk functions and order statistics. The TGEV distribution is a more flexible model than the simple GEV distribution to model extreme or rare events because the right tail of the TGEV is heavier than the GEV. In addition the TGEV distribution can adjusted various forms of asymmetry. In this article, explicit expressions for these measures of the TGEV are obtained. The tail behavior and the survival and risk functions were determined for positive gamma, the moments for nonzero gamma and the moment generating function for zero gamma. The performance of the maximum likelihood estimators (MLEs) of the TGEV parameters were tested through a series of Monte Carlo simulation experiments. In addition, the model was used to fit three real data sets related to financial returns.

• Korean Circulation Journal
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• v.53 no.9
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• pp.581-593
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• 2023

In the catheterization laboratory, the measurement of physiological indexes can help identify functionally significant lesions and has become one of the standard methods to guide treatment decision-making. Plaque vulnerability refers to a coronary plaque susceptible to rupture, enabling risk prediction before coronary events, and it can be detected by defining a certain type of plaque morphology on coronary imaging modalities. Although coronary physiology and plaque vulnerability have been considered different attributes of coronary artery disease, the underlying pathophysiological basis and clinical data indicate a strong correlation between coronary hemodynamic properties and vulnerable plaque. In prediction of coronary events, emerging data have suggested independent and additional implications of a physiology-based approach to a plaque-based approach. This review covers the fundamental interplay between coronary physiology and plaque morphology during disease progression with clinical data supporting this relationship and examines the clinical relevance of physiological indexes in prediction of clinical outcomes and therapeutic decision-making along with plaque vulnerability.

• Journal of Industrial Technology
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• v.25 no.B
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• pp.99-106
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• 2005

The planning phase of construction project success or failure of the enterprise decision the 1st dangerous duration which occurs very there is a possibility of making with the phase which is important, of construction project in life cycle most many risk. But the risk management from planning phase well does not become accomplished is the actual condition from existing construction project. Consequently, it classifies the risk event from project initial planning phase of construction project from this study which probably is substantial risk event the possibility of accomplishing from a planning phase successfully in order to be.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.643-645
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• 2018

The risk mitigation service based on network provides monitoring of the risk event data to be inputted and analyses its big data to be stored in real time. Furthermore, it performs the analysis of the plant disease risk such as a red tide, and livestock disease risk such a food-and-mouth disease, avian influenza, and rinderpest, and provides the mitigation service. The application model for risk mitigation is the real time acquisition monitoring of risk events, and mitigation service for the risks.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2015.05a
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• pp.257-258
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• 2015

The amount of damages caused by natural hazards is consistently growing due to the unusual weather and extreme events. At the same time, property damage by natural hazards is rapidly increasing as well. Hence, we need systematic anti-disaster activities and consulting that can react to such a situation. To address these needs, we investigated and analyzed insured claim payouts from natural hazards by administrative area, and calculate the risk index utilizing GIS. According to the index, this map is identifying the areas of greatest natural hazard risk. The ranking of natural disaster vulnerability based on the risk index, and risk grades were divided into five based on the ranking. This map integrates the natural hazard losses to assist in comprehensive and effective loss prevention activities using analysis of regional loss claims from natural hazards. Moreover, this map can be as utilized as loss mitigation and prevention activities to verify the distribution of exposure and hazards.