100 research outputs found

    Effect of antibiotic use on the incidence of asthma and atopic dermatitis in infants

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๋ณด๊ฑดํ•™๊ณผ(๋ณด๊ฑดํ•™์ „๊ณต), 2017. 2. ์›์„ฑํ˜ธ.Background: Previous studies have shown that both asthma and atopic dermatitis are caused by allergic marching in the childhood, with their cooccurrence or with some pre-existing relationship. Because of these relationship, the behavior of both diseases and their risk factors have been jointly investigated. Asthma and atopic dermatitis are from the complex interplay various factors such as demographic factors, infectious disease related factors, medicinal use factors, dietary related factors, and atmospheric environmental factors are mixed and acting together. Among the various risk factors, the use of antibiotics has been studied to cause long-term changes in intestinal microorganisms such as decreased actinomycetes, increased bacteria, and decreased enzymes. It has also been studied to increase the incidence of allergic sensitization to allergies such as asthma and atopic dermatitis by inhibiting the proper growth of infantile immune system and inhibiting the development of immune tolerance because it causes an increase in the immature microbial growth. Nevertheless, due to the difficulty in diagnosing asthma and atopic dermatitis of less than 5 years old, there have been few studies about disease status and on the risk factors including antibiotic use. Objective: The purpose of this study is to investigate the effect of antibiotics use in infants on the risk of asthma and atopic dermatitis with the current status of asthma and atopic dermatitis of newborns between 2011 and 2013 in Korea. Method: This study used claims data of the Health Insurance Review and Assessment Service of newborns born in 2011, 2012, and 2013 in Korea. The registered analysis number of the data requested by the Health Insurance Review and Assessment Service is M2016082442, which is applied to the remote access system and granted access to data. The data to be used in this study were composed by combining the general information, healthcare information, diagnostic information and prescriptions information based on the patient identification code and the key code. The directed acyclic graph (DAG) was made through literature review, and was used to choose confounding variables. Frequency analyses were performed to examine the characteristics of the data, and the prevalences and incidence rates of asthma and atopic dermatitis were estimated. Incidence was estimated by person-month. Kaplan-Meier survival curves were estimated for subjects with the antibiotic use before the diseases, with the antibiotic use before the disease and the respiratory disease, and with the respiratory disease in the antibiotic use and pyelonephritis. Finally, the cox proportional hazard model was used to estimate the hazard ratio for the use of antibiotics in the development of asthma and atopic dermatitis. This study also estimated the hazard ratio for the development of asthma and atopic dermatitis according to the type of antibiotics proposed by WHO. Results: The prevalence of asthma was about 60% and its incidence rate was 0.0238 per person-month who were less than one year old in 2011-2013, and the prevalence of atopic dermatitis was about 80% and incidence rate was 0.0845 per person-month. Both diseases were found to have higher prevalence and incidence rates for subjects using antibiotics before the diseases. DAG reveals that respiratory disease is a main confounder between asthma, atopic dermatitis and antibiotics, and the subjects were categorized into four different groups based on the antibiotics use and respiratory diseases. Kaplan-Meier survival curves show that both asthma and atopic dermatitis were associated with the highest risk in the group of antibiotic use and respiratory disease. The log-rank test also showed that there was a substantial difference in the survival functions between groups because the significance probability was less than 0.0001. Finally, the hazard ratio of antibiotic use before asthma in the Cox proportional hazards model was estimated to be 1.556 (95% CI: 1.543 - 1.569) for the development of asthma, and hazard ratio of antibiotic use before atopic was estimated to be 1.369 (95% CI: 1.360 - 1.378) for the occurrence of atopic dermatitis. The hazard ratio of antibiotic use for asthma among subjects with respiratory diseases was estimated to be 1.518 (95% CI: 1.510 - 1.527) and the hazard ratio for atopic dermatitis was estimated to be 1.210 (95% CI: 1.205 - 1.215). Effects of different antibiotics were estimated with the Cox proportional hazards model, and hazard ratios of the beta-lactam antibacterials and penicillins for asthma was 1.682 (95% CI: 1.668-1.695), and those for atopic dermatitis was 1.408 (95% CI: 1.399 โ€“ 1.417). Conclusion: In this study, the use of antibiotics before the onset of asthma and atopic dermatitis was found to be an important risk factor affecting the incidence of asthma and atopic dermatitis. Especially, the effect of beta-lactam antibacterials, penicillins on the incidence of asthma and atopic dermatitis was found to be the largest among antibiotics, and thus we can conclude that careful prescription for those antibiotics may be necessary to minimize the risk of asthma and atopic dermatitis in infants.โ… . Introduction 1 1. Background & Necessity 1 2. Objectives 3 โ…ก. Theoretical background 5 1. Asthma, atopic dermatitis and antibiotics 5 2. Risk factors of asthma and atopic dermatitis 6 3. The association of asthma and atopic dermatitis with antibiotics 7 4. Directed acyclic graphs 8 โ…ข. Method 10 1. Study design 10 2. Hypotheses 17 3. Statistical methods 17 โ…ฃ. Results 20 1. Characteristics of study population 20 2. Prevalence and Incidence rate of asthma and atopic dermatitis 24 3. Kaplan-Meier curve of asthma and atopic dermatitis by antibiotics, respiratory disease and pyelonephritis 26 4. Cox proportional hazard model of asthma and atopic dermatitis 28 โ…ค. Conclusion 33 โ…ฅ. Reference 37 ๊ตญ๋ฌธ์ดˆ๋ก 40Maste

    A Study on the Design of Safety Management Cost System for Coastal Passenger Ship

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    ์ด ๋…ผ๋ฌธ์€ ์šดํ•ญ๊ด€๋ฆฌ์ž ์ œ๋„์˜ ์šด์˜์žฌ์›์ธ ์—ฌ๊ฐ์„  ์•ˆ์ „์šดํ•ญ๊ด€๋ฆฌ ๋ถ€๋‹ด๊ธˆ์„ ์—ฐ๊ตฌํ•˜์˜€๋‹ค. ํ˜„ํ–‰ ์—ฌ๊ฐ์„  ์•ˆ์ „์šดํ•ญ๊ด€๋ฆฌ ๋ถ€๋‹ด๊ธˆ ๋ถ€๊ณผ์ฒด๊ณ„๋ฅผ ๋ถ„์„ํ•˜๊ณ  ๋ฌธ์ œ์ ์„ ๋„์ถœํ•˜์—ฌ, ์ด๋ฅผ ํ† ๋Œ€๋กœ ์—ฌ๊ฐ์„  ์•ˆ์ „์šดํ•ญ๊ด€๋ฆฌ ๋ถ€๋‹ด๊ธˆ ์‹œ์Šคํ…œ์„ ์„ค๊ณ„ํ•˜์˜€๋‹ค.๋ชฉ ์ฐจ ๋ชฉ์ฐจ โ…ฐ ๊ทธ๋ฆผ๋ชฉ์ฐจ โ…ฒ ํ‘œ๋ชฉ์ฐจ โ…ฒ Abstract โ…ด โ… . ์„œ ๋ก  1 1.1 ์—ฐ๊ตฌ์˜ ๋ฐฐ๊ฒฝ ๋ฐ ๋ชฉ์  1 1.2 ์—ฐ๊ตฌ์˜ ๋ฐฉ๋ฒ• ๋ฐ ๋‚ด์šฉ 6 โ…ก. ์—ฐ์•ˆ์—ฌ๊ฐ์„  ๋ฐ ์šดํ•ญ๊ด€๋ฆฌ์ž ํ˜„ํ™ฉ ๋ถ„์„ 8 2.1 ์—ฐ์•ˆ์—ฌ๊ฐ์„  2.1.1. ํ•ญํ•ด๊ตฌ์—ญ๋ณ„, ์„ ์ข…๋ณ„ ๋ฐ ์ดํ†ค์ˆ˜๋ณ„ ์ฒ™์ˆ˜ 8 2.1.2. ์ฐจ๋Ÿ‰์ ์žฌ(์นดํŽ˜๋ฆฌ ๋ฐ ์ฐจ๋„์„ ) ์—ฌ๊ฐ์„  ํ˜„ํ™ฉ 11 2.2 ์šดํ•ญ๊ด€๋ฆฌ์ž 2.2.1. ์—ฐํ˜ ๋ฐ ์šด์˜๊ทผ๊ฑฐ 13 2.2.2. ์šดํ•ญ๊ด€๋ฆฌ ์กฐ์ง๋„ 18 2.2.3. ์šดํ•ญ๊ด€๋ฆฌ์ž์˜ ์—…๋ฌด์˜ ์„ฑ๊ฒฉ 19 2.2.4. ์šดํ•ญ๊ด€๋ฆฌ์ž์˜ ์ฃผ์š”์—…๋ฌด ์ ˆ์ฐจ์„œ 22 โ…ข. ์•ˆ์ „์šดํ•ญ๊ด€๋ฆฌ ๋ถ€๋‹ด๊ธˆ ํ˜„ํ™ฉ ๋ถ„์„ 27 3.1 ์•ˆ์ „์šดํ•ญ๊ด€๋ฆฌ ๋ถ€๋‹ด๊ธˆ 3.1.1. ์•ˆ์ „์šดํ•ญ๊ด€๋ฆฌ ๋ถ€๋‹ด๊ธˆ ๋ฒ•์ ๊ทผ๊ฑฐ ๋ฐ ์„ฑ๊ฒฉ 27 3.1.2. ์•ˆ์ „์šดํ•ญ๊ด€๋ฆฌ ๋ถ€๋‹ด๊ธˆ ์žฌ์›์˜ ๊ตฌ์„ฑ 38 3.2 ์•ˆ์ „์šดํ•ญ๊ด€๋ฆฌ ๋ถ€๋‹ด๊ธˆ ๋ถ€๊ณผ ์‹คํƒœ ๋ถ„์„ 3.2.1. ์•ˆ์ „์šดํ•ญ๊ด€๋ฆฌ ๋ถ€๋‹ด๊ธˆ์˜ ์ดํ•ด๊ด€๊ณ„ 41 3.2.2. ์šดํ•ญ๊ด€๋ฆฌ์ œ๋„ ์šด์˜์ฃผ์ฒด 44 3.2.3. ์•ˆ์ „์šดํ•ญ๊ด€๋ฆฌ ๋ถ€๋‹ด๊ธˆ ๊ตฌ์„ฑ 45 โ…ฃ. ์•ˆ์ „์šดํ•ญ๊ด€๋ฆฌ ๋ถ€๋‹ด๊ธˆ ๋ถ€๊ณผ ์ฒด๊ณ„ ๋ถ„์„ 48 4.1 ์•ˆ์ „์šดํ•ญ๊ด€๋ฆฌ ๋ถ€๋‹ด๊ธˆ ๊ตญโ€ค๋‚ด์™ธ ์‚ฌ๋ก€ ๋ถ„์„ 4.1.1. ๊ตญ๋‚ด์‚ฌ๋ก€ 48 4.1.2. ์™ธ๊ตญ์‚ฌ๋ก€ 53 4.2 ์•ˆ์ „์šดํ•ญ๊ด€๋ฆฌ ๋ถ€๋‹ด๊ธˆ ๋ถ€๊ณผ ์ฒด๊ณ„ ๋ถ„์„ 4.2.1. ์•ˆ์ „์šดํ•ญ๊ด€๋ฆฌ ๋ถ€๋‹ด๊ธˆ ๋ถ€๊ณผ์ฒด๊ณ„ ๋ฌธ์ œ์  56 4.2.2. ์ฐจ๋Ÿ‰(ํ™”๋ฌผ) ์•ˆ์ „์šดํ•ญ๊ด€๋ฆฌ ๋ถ€๋‹ด๊ธˆ ๋ถ€๊ณผ ์ฒด๊ณ„ ๋ถ„์„ 56 4.2.3. ๋‚™๋„๋ณด์กฐํ•ญ๋กœ ์•ˆ์ „์šดํ•ญ๊ด€๋ฆฌ ๋ถ€๋‹ด๊ธˆ ๋ถ€๊ณผ ์ฒด๊ณ„ ๋ถ„์„ 61 โ…ค. ์•ˆ์ „์šดํ•ญ๊ด€๋ฆฌ ๋ถ€๋‹ด๊ธˆ ์‹œ์Šคํ…œ 65 5.1 ๊ฐœ์„ ๋ฐฉํ–ฅ 5.2 ์•ˆ์ „์šดํ•ญ๊ด€๋ฆฌ ๋ถ€๋‹ด๊ธˆ ๋ถ€๊ณผ ์ฒด๊ณ„ ์„ค๊ณ„ 5.2.1. ์•ˆ์ „์šดํ•ญ๊ด€๋ฆฌ ๋ถ€๋‹ด๊ธˆ ์žฌ์ •ํ™•๋ณด ์„ค๊ณ„ 65 5.2.2. ์•ˆ์ „์šดํ•ญ๊ด€๋ฆฌ ๋ถ€๋‹ด๊ธˆ ์ œ๋„๊ฐœ์„  ์„ค๊ณ„ 66 5.3 ์ฐจ๋Ÿ‰ ์•ˆ์ „์šดํ•ญ๊ด€๋ฆฌ ๋ถ€๋‹ด๊ธˆ ๋ถ€๊ณผ ๋ฐฉ์•ˆ 5.3.1. ์ฐจ๋Ÿ‰ ์•ˆ์ „์šดํ•ญ๊ด€๋ฆฌ ๋ถ€๋‹ด๊ธˆ ์‹œ์Šคํ…œ ์„ค๊ณ„ 73 5.3.2. ์ˆ˜์š”์ž ์ค‘์‹ฌ์˜ ์ฐจ๋Ÿ‰ Risk ๋ถ€๊ณผ ๊ฐœ์„  ๋ฐฉ์•ˆ 78 5.4 ๋‚™๋„๋ณด์กฐํ•ญ๋กœ ๋ถ€๋‹ด๊ธˆ ๊ฐœ์„  ๋ฐฉ์•ˆ 5.4.1. ๋‚™๋„๋ณด์กฐํ•ญ๋กœ ์•ˆ์ „์šดํ•ญ๊ด€๋ฆฌ ๋ถ€๋‹ด๊ธˆ ๊ฐœ์„ (์•ˆ) 80 5.4.2. ๋‚™๋„๋ณด์กฐํ•ญ๋กœ ๊ณต๊ณต๊ธฐ๊ด€ ์œ„ํƒ์šด์˜ 85 5.5 ์•ˆ์ „์šดํ•ญ๊ด€๋ฆฌ ๋ถ€๋‹ด๊ธˆ ๊ณต๊ณต์„ฑ ํ™•๋ณด ๋ฐฉ์•ˆ 5.5.1. ์•ˆ์ „์šดํ•ญ๊ด€๋ฆฌ ๋ถ€๋‹ด๊ธˆ ์ „์•ก ๊ตญ๊ณ ์ง€์› 88 5.5.2. ๊ณต๊ณต๊ธฐ๊ด€ ๊ณต๊ณต์„ฑ ๋ฐ ๋…๋ฆฝ์„ฑ ํ™•๋ณด 90 โ…ฅ. ๊ฒฐ๋ก  9

    Insulinoma Presenting as Hypersomnia and Unconscious Wandering.

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    Insulinoma is a rare endocrine tumor that frequently causes neurologic symptoms. We report a case of a 17-year-old man with hypersomnia and abnormal behavior lasting for 10 months. He had recurrent attacks of hypersomnia that lasted for up to 36 hours and of unconscious wandering mimicking an ictal or postictal state. Hypoglycemia was documented (30 mg/dL) and insulinoma was found at the most-recent episode. Clinicians should be aware that hypersomnia and unconscious wandering can present in association with hypoglycemia.ope

    The localizing and lateralizing value of auras in lesional partial epilepsy patients

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    PURPOSE: We investigated the localizing and lateralizing values of auras in patients with lesional partial epilepsy on an outpatient basis. MATERIALS AND METHODS: A total of 276 subjects were retrospectively selected for this study if they had a unilateral single lobar lesion based on magnetic resonance image (MRI) results, and their scalp electroencephalography (EEG) findings were not discordant with the MRI-defined lobar localization and lateralization. According to the lesion locations, subjects were considered as having mesial temporal (MTLE), lateral temporal (LTLE), frontal (FLE), parietal (PLE), or occipital (OLE) lobe epilepsies. Auras were classified into 13 categories. RESULTS: A hundred and seventy-six subjects (63.8%) had experienced at least one aura. FLE subjects had the fewest number of auras. Epigastric and psychic auras were frequent among MTLE subjects, while visual auras were common in those with PLE and OLE. Somatosensory auras and whole body sensations were more frequent in the subjects with PLE than those without. Autonomic auras were more common in MTLE subjects than in LTLE subjects. Dysphasic auras were more frequently found in left-sided epilepsies. Five pairs of aura categories showed concurrent tendencies, which were the epigastric and autonomic auras, autonomic and emotional auras, visual and vestibular auras, auditory and vestibular auras, and whole-body sensation and auditory auras. Autonomic and emotional auras had a concurrent tendency in left-sided epilepsies, but not in right-sided epilepsies. CONCLUSION: Our results support the previously known localizing value of auras, and suggest that dysphasic auras and the association of emotional and autonomic auras may have a lateralizing value.ope

    Hemodynamic factors affecting the lesion distribution of the posterior reversible encephalopathy syndrome

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