• Title/Summary/Keyword: Drug Use

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Health Risk Behavior and Oral Symptoms in Adolescents in Multicultural Families (다문화 가정 청소년의 건강 위험 행동과 구강 증상에 관한 연구)

  • Sim, Seon-Ju;Hong, Min-Hee
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.12
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    • pp.246-252
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    • 2020
  • This study used the raw data of the 15th (2019) Korean Youth Health Risk Behavior Survey to investigate the risk factors of the health-risk behaviors of Korean multicultural adolescents on the subjective oral symptoms. The scope of the multicultural family was limited to children of immigrant women's families married to Korean men and immigrant male families married to Korean women, and 572 were selected as the final study subjects. The sociodemographic variables were surveyed as gender, grade, economic level, and school performance. The health risk behaviors included drinking, smoking, medication, stress, sleep satisfaction, suicidal thoughts, depression, and brushing before bedtime. The oral symptoms examined were toothache, gum pain, and halitosis. As a result, toothache was related to drinking, toothbrushing before sleep, stress, sleep satisfaction, suicidal thoughts, and depression. Gum pain was associated with drug use, sleep satisfaction, suicidal thoughts, and depression. Halitosis was associated with medication, brushing before sleep, stress, suicidal thoughts, and depression. In terms of health risk factors, drinking, stress, and sleep satisfaction were risk factors for toothache. Smoking, sleep satisfaction, and suicidal thoughts were risk factors for gum pain. The presence of toothbrushing and stress were risk factors for halitosis. In conclusion, a policy system is needed to support oral health education programs nationally at times, such as after-school activities or club activities, to promote oral health for teenagers.

A Study on Efficient Methods of Pesticide Control Using Agricultural Unmanned Aerial Vehicles (농업용 무인항공기를 활용한 농약방제 효율성 방안에 관한 연구)

  • Jeong, Ga-Young;Cho, Yong-Yoon
    • Journal of Internet of Things and Convergence
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    • v.8 no.2
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    • pp.35-40
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    • 2022
  • In the agricultural environment, pesticide control requires a high risk of work and a high labor force for farmers. The effectiveness of pesticide control using unmanned aerial vehicles varies according to climate, land type, and characteristics of unmanned aerial vehicles. Therefore, an effective method for pesticide control by unmanned aerial vehicles considering the spraying conditions and environmental conditions is required. In this paper, we propose an efficient pesticide control system based on agricultural unmanned aerial vehicles considering the application conditions and environmental information for each crop. The effectiveness of the proposed model was demonstrated by measuring the drop uniformity of pesticides according to the change in altitude and speed after attaching the sensory paper and measuring the penetration rate of the drug inside the canopy according to the change in crop growth conditions. Experiment result, the closer the height of the UAV is to the ground, the more evenly the crops are sprayed, but for safety reasons, 2m more is suitable, and on average a speed of 2m/s is most suitable for control. The proposed control system is expected to help develop intelligent services based on the use of various unmanned aerial vehicles in agricultural environments.

Risk Factors for Zolpidem Induced Sleep-Related Behavior in Inpatients (입원 환자에게서 졸피뎀 사용 후 나타나는 수면 연관 행동의 위험 요소)

  • Hyung-Inn, Kim;Jeong-Seop, Lee;Won-Hyoung, Kim;Hye-Young, Kim;Se-ri, Maeng;Jae-Nam, Bae
    • Korean Journal of Psychosomatic Medicine
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    • v.30 no.2
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    • pp.112-118
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    • 2022
  • Objectives : Zolpidem is a common drug used in insomnia. However, there are several reports of side effects of the central nervous system or sleep related behavior in patients who took zolpidem. This study was conducted to investigate risk factors affecting sleep related behavior after taking zolpidem in inpatients. Methods : From January 1, 2019 to December 31, 2019, medical records of patients who took zolpidem hospitalized at Inha University Hospital were reviewed retrospectively. Results : 907 patients who took Zolpidem, 102 (11.2%) showed sleep related behavior, and if they were 65 years of age or older, men, taking antipsychotics, and taking antipsychotics and benzodiazepines at the same time, they were significantly more likely to show sleep related behavior. Conclusions : Risk factors for sleep-related behavior after use of zolpidem are estimated gender, elderly, antipsychotics, and combination of antipsychotics and benzodiazepines.

Survey of Institutional Review Board Risk Level Classification of Clinical Trials Among Korean University Hospitals (임상시험심사위원회(Institutional Review Board)의 임상시험에 대한 위험평가 분류조사연구)

  • Lee, Sun Ju;Kang, Su Jin;Maeng, Chi Hoon;Shin, Yoo Jin;Yoo, Soyoung
    • The Journal of KAIRB
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    • v.4 no.2
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    • pp.36-41
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    • 2022
  • Purpose: The purpose of this study is to evaluate how university hospital Institutional Review Boards (IRBs) in Korea classify risk when reviewing clinical trial protocols. Methods: IRB experts (IRB chairman, vice chairman, IRB administrator) in the university hospitals obtaining a Human research protection program (HRPP) or IRB accreditation in Korea were asked to fill out the Google Survey from September 1, 2020 to October 10, 2020. Result: Among the 23 responder hospitals, 8 were accredited by the American Association for Human Research Protection Program (AAHRPP) and 8 were accredited by the HRPP of Ministry of Food and Drug Safety (MFDS). Seven were accredited by Forum for Ethical Review Committees in Asia and the Western Pacific or Korea National Institution for Bioethics Policy. Thirteen of 23 hospitals (56.5%) had 4 levels (less than minimal, low, moderate, high risk), 4 hospitals had 3 levels (less than, slightly over, over than minimal risk), 1 hospital had 5 levels (4 levels plus required data safety monitoring board), and 1 hospital had 2 levels (less than, over than minimal risk) risk classification system. Thirteen of 23 hospitals (56.5%) had difficulty classifying the risk levels of research protocols. Fourteen hospitals (60.9%) responded that different standards among hospitals for risk level determination associated with clinical trials will affect the subject protection. Six hospitals (26.1%) responded that it will not. Three hospitals (13.0%) responded that it will affect the beginning of the clinical trial. To resolve differences in standards between hospitals, 14 hospitals (60.9%) responded that either the Korean Association of IRB or MFDS needs to provide a guideline for risk level determination in clinical trials: 5 hospitals (21.7%) responded education for IRB members and researchers is needed; 3 hospitals (13.0%) responded that difference among institutions needs to be acknowledged; and 1 hospital (4.3%) responded that there needs to be communication among IRB, investigator, and sponsor. Conclusion: After conducting a nationwide survey on how IRB in university hospital determines risk during review of clinical trials, it is reasonable to use 4-level risk classification (less than minimal, low, moderate, high risk); the most utilized method among hospitals. Moreover, personal information and conflict of interest associated with clinical trials have to be considered when reviewing clinical trial protocols.

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Developing national level high alert medication lists for acute care setting in Korea (국내 급성기 의료기관 고위험 의약품 목록 도출)

  • Han, Ji Min;Heo, Kyu-Nam;Lee, Ah Young;Min, Sang il;Kim, Hyun Jee;Baek, Jin-Hee;Rho, Juhyun;Kim, Sue In;Kim, Ji yeon;Lee, Haewon;Cho, Eunju;Ah, Young-Mi;Lee, Ju-Yeun
    • Korean Journal of Clinical Pharmacy
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    • v.32 no.2
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    • pp.116-124
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    • 2022
  • Background: High-alert medications (HAMs) are medications that bear a heightened risk of causing significant patient harm if used in error. To facilitate safe use of HAMs, identifying specific HAM lists for clinical setting is necessary. We aimed to develop the national level HAM list for acute care setting. Methods: We used three-step process. First, we compiled the pre-existing lists referring HAMs. Second, we analyzed medication related incidents reported from national patient safety incident report data and adverse events indicating medication errors from the Korea Adverse Event Reporting System (KAERS). We also surveyed the assistant staffs to support patient safety tasks and pharmacist in charge of medication safety in acute care hospital. From findings from analysis and survey results we created additional candidate list of HAMs. Third, we derived the final list for HAMs in acute care settings through expert panel surveys. Results: From pre-existing HAM list, preliminary list consisting of 42 medication class/ingredients was derived. Eight assistant staff to support patient safety tasks and 39 pharmacists in charge of medication safety responded to the survey. Additional 44 medication were listed from national patient safety incident report data, KAERS data and common medications involved in prescribing errors and dispensing errors from survey data. A list of mandatory and optional HAMs consisting of 10 and 6 medication classes, respectively, was developed by consensus of the expert group. Conclusion: We developed national level HAM list for Korean acute care setting from pre-existing lists, analyzing medication error data, survey and expert panel consensus.

Acoustic outputs from clinical extracorporeal shock wave lithotripsy devices (임상에서 사용중인 체외충격파쇄석기의 음향 출력 분포)

  • Jong Min Kim;Oh Bin Kwon;Jin Sik Cho;Sung Joung Jeon;Ki Il Nam;Sung Yong Cho;Min Joo Choi
    • The Journal of the Acoustical Society of Korea
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    • v.42 no.5
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    • pp.469-490
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    • 2023
  • Survey was carried out on the acoustic outputs from 12 shock wave fields produced by the 10 extracorporeal shock wave lithotriptors whose technical documents are available, among the 33 devices approved by the Ministry of Food & Drug Safety (MFDS).The results show that the acoustic outputs (P+, P-, efd, and E), critical to the therapeutic efficacy and the patient safety, are largely different between the devices. The maximum values of P+, P-, efd, and E vary up to 2.08, 3.72, 3.89, and 15.98 times, respectively. The acoustic output parameters are not thoroughly provided in the technical documents, and some of data (eg. efd) are suspected to be abnormal outside usual ranges. The large device to device differences in the shock wave outputs are likely to undermine equivalence between the ESWL devices approved for the same indication. To verify the reliability of the data in the technical documents of the approved devices and to confirm if the acoustic outputs from the devices in clinical use are the same as those in their technical documents, an authorized test laboratory should be available. A postapproval monitoring led by the regulatory agency is suggested to maintain the acoustic outputs from the ESWL devices that suffer from degrading in performance due to aging.

A Dilemma of Kyrgyzstan Goes Through the Process of Nation-Building: National Security Problems and Independent National Defense Capability (국가건설과정에서 키르기스스탄의 국가안보와 자주국방의 딜레마)

  • Kim, Seun Rae
    • Journal of International Area Studies (JIAS)
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    • v.14 no.4
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    • pp.27-52
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    • 2011
  • The regions of Central Asia have each acquired an elevated strategic importance in the new security paradigm of post-September 1lth. Comprised of five states, Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan and Uzbekistan, Central Asia's newly enhanced strategic importance stems from several other factors, ranging from trans-national threats posed by Islamic extremism, drug production and trafficking, to the geopolitical threats inherent in the region's location as a crossroads between Russia, Southwest Asia and China. Although the U.S. military presence in the region began before September 11th, the region became an important platform for the projection of U.S. military power against the Taliban in neighboring Afghanistan. The analysis goes on to warn that 'with US troops already in place to varying extents in Central Asian states, it becomes particularly important to understand the faultlines, geography, and other challenges this part of the world presents'. The Kyrgyz military remains an embryonic force with a weak chain of command, the ground force built to Cold War standards, and an almost total lack of air capabilities. Training, discipline and desertion - at over 10 per cent, the highest among the Central Asian republics - continue to present major problems for the creation of combat-effective armed forces. Kyrgyzstan has a declared policy of national defence and independence without the use of non-conventional weapons. Kyrgyzstan participates in the regional security structures, such as the Collective Security Treaty Organisation (CSTO) and the Shanghai Co-operation Organisation (SCO) but, in security matters at least, it is dependent upon Russian support. The armed forces are poorly trained and ill-equipped to fulfil an effective counter-insurgency or counter-terrorist role. The task of rebuilding is much bigger, and so are the stakes - the integrity and sovereignty of the Kyrgyz state. Only democratization, the fight against corruption, reforms in the military and educational sectors and strategic initiatives promoting internal economic integration and national cohesion hold the key to Kyrgyzstan's lasting future

Administration of ketoprofen in postpartum sows to control the incidence of post-parturient disorders and improve piglet survival rate

  • Suwicha Jeeraphokhakul;Thanabat Theerakulpisut;Pitchapa Khampoomee;Jakkrit Chaiwangna;Preechaphon Taechamaeteekul;Natchanon Dumniem;Junpen Suwimonteerabutr;Padet Tummaruk
    • Animal Bioscience
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    • v.36 no.8
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    • pp.1293-1303
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    • 2023
  • Objective: Inflammation and pain management in postpartum hyperprolific sows is currently an important animal welfare issue in the swine industry. The present study investigates effects of ketoprofen treatment on the incidence of post-parturient disorders, feed intake, colostrum yield, piglet colostrum intake, colostrum immunoglobulin G (IgG) and piglet mortality rate during the first 3 days of postnatal life. Methods: In total, 61 Danish Landrace×Yorkshire crossbred sows and their offspring (n = 833) were included in the experiment. The sows were randomly distributed into two groups: i) control (n = 31), sows were treated with tolfenamic acid 2 mg per kg for 2 days postpartum; ii) ketoprofen (n = 30), sows were treated with ketoprofen 3 mg per kg for 2 days postpartum. The farrowing process of the sows was monitored for 24 h daily, and data associated with farrowing were collected. Piglet colostrum intake, sow colostrum yield and colostrum IgG were determined. Results: During the first 3 days postpartum, the incidence of sows that had fever did not differ between control and ketoprofen groups (51.6% and 56.7%, respectively, p = 0.692). Piglet colostrum intake did not differ between control and ketoprofen groups (p = 0.736). However, the proportions of piglets that had inadequate colostrum intake were 71.3%, 22.6%, and 5.4% in those with birth weights of <1.0 kg, 1.0 to 1.29 kg, and ≥1.30 kg, respectively (p<0.001). The piglet mortality rate did not differ between control and ketoprofen groups (p = 0.808). Conclusion: Administration of ketoprofen in postpartum sows for 2 days can control the evidence of post-parturient disorders in sows as effectively as the use of tolfenamic acid. No deleterious effect of ketoprofen was detected on sow colostrum yield, piglet colostrum intake and piglet mortality. Therefore, ketoprofen can be recommended as an alternative anti-inflammatory drug used in postpartum sows.

Late-Onset Candida Vertebral Osteomyelitis in Two Young Patients Who Underwent Heart Transplant Surgery (심장 이식술을 받은 젊은 환자에서 발생한 2예의 지연성 칸디다 척추 골수염)

  • Kang, Min Seok;Son, In Seok;Kim, Tae Hoon;Lee, Suk Ha
    • Journal of the Korean Orthopaedic Association
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    • v.54 no.1
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    • pp.72-77
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    • 2019
  • Candida vertebral osteomyelitis (CVO) is a rare disease that is a complication of intravenous drug use, but recently it has been recognized as mostly an opportunistic infection. Because CVO appears to mimic pyogenic spondylodiscitis in terms of the clinical and radiologic presentations, it is often neglected in a usual clinical setting. The clinical, radiological, and biological characteristics of CVO are often used to make a differential diagnosis with vertebral osteomyelitis from other etiologies. Once an initial proper diagnosis was performed, the treatment relies on the prompt initiation of appropriate pharmacotherapy and serial monitoring of the clinical progress. This paper report late-onset CVO in two young patients who underwent a heart transplant surgery and had postoperative systemic candidiasis. These two cases are a good reminder of the potential of CVO in immunosuppressive patients treated with anti-fungal agents. This paper presents these two cases with a review of the relevant literature.

Predicting the Fetotoxicity of Drugs Using Machine Learning (기계학습 기반 약물의 태아 독성 예측 연구)

  • Myeonghyeon Jeong;Sunyong Yoo
    • Journal of Life Science
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    • v.33 no.6
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    • pp.490-497
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    • 2023
  • Pregnant women may need to take medications to treat preexisting diseases or diseases that develop during pregnancy. However, some drugs may be fetotoxic and lead to, for example, teratogenicity and growth retardation. Predicting the fetotoxicity of drugs is thus important for the health of the mother and fetus. The fetotoxicity of many drugs has not been established because various challenges hinder the ability of researchers to determine their fetotoxicity. The need exists for in silico-based fetotoxicity assessment models, as they can modernize the testing paradigm, improve predictability, and reduce the use of animals and the costs of fetotoxicity testing. In this study, we collected data on the fetotoxicity of drugs and constructed fetotoxicity prediction models based on various machine learning algorithms. We optimized the models for more precise predictions by tuning the hyperparameters. We then performed quantitative performance evaluations. The results indicated that the constructed machine learning-based models had high performance (AUROC >0.85, AUPR >0.9) in fetotoxicity prediction. We also analyzed the feature importance of our model's predictions, which could be leveraged to identify the specific features of drugs that are strongly associated with fetotoxicity. The proposed model can be used to prescreen drugs and drug candidates at a lower cost and in less time. It provides a predictive score for fetotoxicity risk, which may be beneficial in the design of studies on fetotoxicity in human pregnancy.