107 research outputs found

    ๋ณด์กฐ ๋ฉด์—ญ์–ต์ œ์ œ ์‚ฌ์šฉ์— ๋”ฐ๋ฅธ 82๋งˆ๋ฆฌ์˜ ๋‡Œ์ˆ˜๋ง‰์—ผ ๊ฐœ์—์„œ์˜ ์˜ˆํ›„์™€ ์ƒ์กด ์ฐจ์ด์— ๋Œ€ํ•œ ํ›„ํ–ฅ์  ์—ฐ๊ตฌ

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ์ˆ˜์˜๊ณผ๋Œ€ํ•™ ์ˆ˜์˜ํ•™๊ณผ, 2022. 8. ์œคํ™”์˜.Leflunomide๋Š” pyrimidine ์ƒํ•ฉ์„ฑ์„ ์–ต์ œํ•˜์—ฌ ๋ฉด์—ญ ์–ต์ œ์˜ ๊ธฐ๋Šฅ์„ ํ•˜๋Š” ์•ฝ์ œ๋กœ, ๊ฐœ์—์„œ ์—ฌ๋Ÿฌ ์ž๊ฐ€ ๋ฉด์—ญ ์งˆํ™˜์—์„œ ์ข‹์€ ์น˜๋ฃŒ ํšจ๊ณผ๋ฅผ ๊ฐ€์ง„๋‹ค๋Š” ๊ฒƒ์ด ํ™•์ธ๋˜์—ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๊ฐœ์˜ ์›์ธ ๋ถˆ๋ช…์˜ ๋‡Œ์ˆ˜๋ง‰์—ผ์—์„œ ๋ณด์กฐ ๋ฉด์—ญ์–ต์ œ์ œ๋กœ์„œ์˜ leflunomide ์‚ฌ์šฉ์€ ํ˜„์žฌ๊นŒ์ง€ ์•„์ง ๋ณด๊ณ ๊ฐ€ ๋งค์šฐ ์ ๋‹ค. ๋”ฐ๋ผ์„œ ๋ณธ ํ•™์œ„ ๋…ผ๋ฌธ์—์„œ๋Š” ์›์ธ ๋ถˆ๋ช…์˜ ๋‡Œ์ˆ˜๋ง‰์—ผ์œผ๋กœ ์ง„๋‹จ๋œ 82 ๋งˆ๋ฆฌ์˜ ๊ฐœ๋ฅผ ๋Œ€์ƒ์œผ๋กœ ๋ณด์กฐ ๋ฉด์—ญ์–ต์ œ์ œ์— ๋”ฐ๋ฅธ ์˜ˆํ›„์˜ ์ฐจ์ด๋ฅผ ํ›„ํ–ฅ์ ์œผ๋กœ ๋น„๊ตํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. ํ™˜์ž์˜ ์น˜๋ฃŒ์— ์‚ฌ์šฉ๋œ ๋ฉด์—ญ์–ต์ œ์ œ ๋ณ„๋กœ ํ™˜์ž๋ฅผ ๋ถ„๋ฅ˜ํ•˜์˜€์œผ๋ฉฐ ๊ฐ ์น˜๋ฃŒ ๊ทธ๋ฃน์˜ ์ƒ์กด ๊ธฐ๊ฐ„๊ณผ ์น˜๋ฃŒ ๋ฐ˜์‘์„ ๋น„๊ตํ•˜์˜€๋‹ค. ์ „์ฒด ํ™˜์ž์˜ ํ‰๊ท  ์ƒ์กด๊ธฐ๊ฐ„์€ 769์ผ (๋ฒ”์œ„ 14-2687์ผ)์ด์—ˆ๋‹ค. ๊ฐ๊ฐ์˜ ๋ณด์กฐ ๋ฉด์—ญ์–ต์ œ์ œ์— ๋”ฐ๋ฅธ ํ‰๊ท  ์ƒ์กด ๊ธฐ๊ฐ„์€ leflunomide 1035์ผ (๋ฒ”์œ„ 126-2163์ผ), mycophenolate mofetil 865์ผ (๋ฒ”์œ„ 39-2191์ผ), cyclosporin 441์ผ (๋ฒ”์œ„ 11-2176 ์ผ), mycophenolate mofetil๊ณผ cytosine arabinoside๋ฅผ ํ•จ๊ป˜ ์ƒ์šฉํ•œ ๊ทธ๋ฃน์—์„œ๋Š” 132์ผ (๋ฒ”์œ„ 23-1227) ์ด์—ˆ๋‹ค. ๋ถ€์ž‘์šฉ ๋ฐœ์ƒ๋ฅ ์€ ๊ฐ ๋ฉด์—ญ์–ต์ œ์ œ ๊ทธ๋ฃน๊ฐ„์˜ ์œ ์˜์ ์ธ ์ฐจ์ด๊ฐ€ ํ™•์ธ๋˜์ง€ ์•Š์•˜๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ lelfunomide๋ฅผ ์‚ฌ์šฉํ•œ 16๋งˆ๋ฆฌ์˜ ํ™˜์ž ์ค‘ 3๋งˆ๋ฆฌ (18.7%)์—์„œ ์ค‘๋“ฑ๋„ ์ด์ƒ์˜ ๋นˆํ˜ˆ์ด ํ™•์ธ๋˜์—ˆ๋‹ค. ์น˜๋ฃŒ ๋ฐ˜์‘์˜ ๊ฒฝ์šฐ mycophenolate mofetil ๊ตฐ์ด ์ „์ฒด ๋ฐ˜์‘๋ฅ  84%๋กœ ๊ฐ€์žฅ ๋†’์•˜์œผ๋ฉฐ leflunomide ๊ตฐ์ด 82%๋กœ ๋‘ ๋ฒˆ์งธ๋กœ ๋†’๊ฒŒ ํ™•์ธ๋˜์—ˆ๋‹ค. ์›์ธ๋ถˆ๋ช…์˜ ๋‡Œ์ˆ˜๋ง‰์—ผ ๊ฐœ์—์„œ์˜ ์ƒ์กด ๊ธฐ๊ฐ„๊ณผ ๋ฐ˜์‘๋ฅ ์ด ์–ด๋–ค ๋ณด์กฐ๋ฉด์—ญ์–ต์ œ์ œ๋ฅผ ์‚ฌ์šฉํ•˜๋ƒ์— ๋”ฐ๋ผ ๋‹ฌ๋ผ์งˆ ์ˆ˜ ์žˆ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์€ ๋‡Œ์ˆ˜๋ง‰์—ผ ๊ฐœ์—์„œ leflunomide๋ฅผ ์‚ฌ์šฉํ–ˆ์„ ๋•Œ์˜ ์ƒ์กด ๊ธฐ๊ฐ„์„ ๊ตฌํ•œ ์ฒซ ๋ณด๊ณ ์ด๋ฉฐ, ๊ฐœ ๋‡Œ์ˆ˜๋ง‰์—ผ์—์„œ lelfunomide๊ฐ€ ๋น„๊ต์  ์ข‹์€ ํšจ๊ณผ์™€ ๊ธด ์ƒ์กด ๊ธฐ๊ฐ„์„ ๊ฐ€์ง„๋‹ค๋Š” ๊ฒƒ์„ ํ™•์ธํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์žฅ๊ธฐ ๋ณต์šฉ ์‹œ ์ค‘๋“ฑ๋„ ์ด์ƒ์˜ ๋นˆํ˜ˆ์ด ํ™•์ธ๋  ์ˆ˜ ์žˆ์œผ๋ฏ€๋กœ ์ฃผ๊ธฐ์ ์ธ ๋ชจ๋‹ˆํ„ฐ๋ง์ด ํ•„์š”ํ•  ๊ฒƒ์œผ๋กœ ๊ณ ๋ ค๋œ๋‹ค.Meningoencephalomyelitis of unknown etiology (MUE) is a comprehensive term for non-infectious inflammatory brain diseases of the central nervous system (CNS) caused by abnormal autoimmune responses. This study aims to compare the differences in survival and clinical response of MUE according to the use of adjuvant immunosuppressant use. Medical records of 82 dogs diagnosed with MUE were reviewed retrospectively. The overall survival time was 769 days (range 14โ€“2687 days). The median survival time for each adjunctive was: leflunomide 1035 days (range 126โ€“2163 days), mycophenolate mofetil 865 days (range 39โ€“2191 days), cytarabine 754 days (range 6โ€“1898 days), cyclosporin 441 days (range 11โ€“2176 days), and a combination of mycophenolate mofetil and cytosine arabinoside 132 days (range 23โ€“1227 days). There was no significant difference in the incidence rate of adverse events according to the immunosuppressants, but moderate to severe anemia was confirmed in 3 patients (18.7%) in the leflunomide group. The survival time and response rate of MUE dogs differed depending on which adjunctive immunosuppressants were used. Leflunomide showed a long survival time and a relatively good response rate in dogs with MUE. However, a large-scale further study with standardized doses of immunosuppressants and supportive treatment and constant monitoring interval is required.1. Introduction 1 2. Material and Methods 3 2.1 Case selection 3 2.2 Treatment 3 2.3 Supportive treatment 4 2.4 Adverse events 5 2.5 Statistical analysis 5 3. Results 7 3.1 Signalments and clinical signs in affected dogs 7 3.2 MRI findings 8 3.3 CSF analysis 8 3.4 Analysis of survival time after adjunctive immunosuppressant treatment 9 3.5 Differences in treatment response by adjunctive immunosuppressants 10 3.6 Other factors affecting the survival time 11 3.7 Adverse events related to adjunctive immunosuppressant use 12 4. Discussion 15 5. Conclusion 19 6. References 27 ๊ตญ๋ฌธ์ดˆ๋ก 33 Table 1. Neurologic symptoms during the initial visit 20 Table 2. Survival time and treatment response according to the agents 21 Table 3. Adverse events according to the adjunctive immunosuppressants 22 Figure 1. Kaplan-Meier graph for comparing survival time of PDS alone and PDS with adjunctive immunosuppressants 23 Figure 2. Kaplan-Meier graph for comparing survival time according to which adjunctive immunosuppressants were used 24 Figure 3. Kaplan-Meier graph for 73 dogs in the complete response, partial response , and no response groups 25 Figure 4. Kaplan-Meier graph for 73 dogs in the seizure or non-seizure group 26์„

    Comparing survival functions with interval-censored data in the presence of an intermediate clinical event

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    ์˜๊ณผ๋Œ€ํ•™/์„์‚ฌThe primary endpoint is considered a time metric such as the time taken to reach a well-defined endpoint in the presence of an intermediate clinical event (IE). A subject may experience an IE including an intervention during the period of follow-up. When an IE occurs, it may change the survival distribution. When deriving the statistics of Nam and Zelen (2001), the data was divided into two parts according to an IE; one part was right-censored data that does not reach the time of experiencing an IE and the other part was left-truncated and right-censored data, which is having an IE and truncation at that time. Considering the primary endpoint was interval-censored, we extended the approach of Finkelstein (1986) as accommodating left-truncated data. After that, for convenience, we applied multiple imputation techniques to left truncated and interval-censored data. Firstly, we proposed a uniform method to impute data of uniform weight in a characterized set. The second method applies the non-parametric maximum likelihood estimator (NPMLE) from the original data as weight. We applied two forms of variance, which are formed by adding and subtracting within- and between variance for all proposed models. Both variances worked efficiently, but the first one was slightly over- while the second one was marginally underestimated. Through simulation, the stratified log-rank test is unsatisfactory when the proportion of an IE is different between two groups. When the survival distribution is changed after experiencing an IE in addition to the difference proportion of an IE for two groups, the log-rank test is not appropriate. The proposed methods satisfied a nominal level of 0.05 and had superior power to compare the proposed methods with the log-rank and stratified log-rank tests for all scenarios.ope

    Furosemide induced medullary nephrocalcinosis mimicking Bartter syndrome

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    Clinical presentation of Bartter syndrome is similar to surrepitious vomiting or use of diuretics. Therefore, precise differential diagnosis of Bartter syndrome is crucial. We report a case of medullary nephrocalcinosis (MNC) induced by furosemide mimicking Bartter syndrome. A 55-year-old female patient visited our hospital with renal dysfunction on basis of hypokalemia and metabolic alkalosis. She had no history of hypertension or drug use except allopurinol and atorvastatin. She did not complain of nausea or vomiting on presentation and the serum magnesium level was normal. We performed ultrasonography, that showed MNC. For these reasons, we suspected Bartter syndrome and corrected the electrolyte imbalance. During outpatient follow up, we found that the patient had been taking 400 mg of furosemide daily for 30 years. We could diagnose furosemide induced MNC, and recommended to her to reduce the amount of furosemide.ope

    Subclinical vascular inflammation in subjects with normal weight obesity and its association with body fat: an 18F-FDG-PET/CT study.

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    BACKGROUND: Although body mass index (BMI) is the most widely accepted parameter for defining obesity, recent studies have indicated a unique set of patients who exhibit normal BMI and excess body fat (BF), which is termed as normal weight obesity (NWO). Increased BF is an established risk factor for atherosclerosis. However, it is unclear whether NWO subjects already have a higher degree of vascular inflammation compared to normal weight lean (NWL) subjects; moreover, the association of BF with vascular inflammation in normal weight subjects is largely unknown. METHODS: NWO and NWL subjects (nโ€‰=โ€‰82 in each group) without any history of significant vascular disease were identified from a 3-year database of consecutively recruited patients undergoing 18โ€‰F-fluorodeoxyglucose positron emission tomography/computed tomography (18โ€‰F-FDG-PET/CT) at a self-referred Healthcare Promotion Program. The degree of subclinical vascular inflammation was evaluated using the mean and maximum target-to-background ratios (TBRmean and TBRmax) of the carotid artery, which were measured by 18โ€‰F-FDG-PET/CT (a noninvasive tool for assessing vascular inflammation). RESULTS: We found that metabolically dysregulation was greater in NWO subjects than in NWL subjects, with a significantly higher blood pressure, higher fasting glucose level, and worse lipid profile. Moreover, NWO subjects exhibited higher TBR than NWL subjects (TBRmean: 1.33โ€‰ยฑโ€‰0.16 versus 1.45โ€‰ยฑโ€‰0.19, pโ€‰<โ€‰0.001; TBRmax: 1.52โ€‰ยฑโ€‰0.23 versus 1.67โ€‰ยฑโ€‰0.25, pโ€‰<โ€‰0.001). TBR was significantly associated with total BF (TBRmean: rโ€‰=โ€‰0.267, pโ€‰=โ€‰0.001; TBRmax: rโ€‰=โ€‰0.289, pโ€‰<โ€‰0.001), age (TBRmean: rโ€‰=โ€‰0.170, pโ€‰=โ€‰0.029; TBRmax: rโ€‰=โ€‰0.165, pโ€‰=โ€‰0.035), BMI (TBRmean: rโ€‰=โ€‰0.184, pโ€‰=โ€‰0.018; TBRmax: rโ€‰=โ€‰0.206, pโ€‰=โ€‰0.008), and fasting glucose level (TBRmean: rโ€‰=โ€‰0.157, pโ€‰=โ€‰0.044; TBRmax: rโ€‰=โ€‰0.182, pโ€‰=โ€‰0.020). In multiple linear regression analysis, BF was an independent determinant of TBRmean and TBRmax, after adjusting for age, BMI, and fasting glucose level (TBRmean: regression coefficientโ€‰=โ€‰0.020, pโ€‰=โ€‰0.008; TBRmax: regression coefficientโ€‰=โ€‰0.028, pโ€‰=โ€‰0.005). Compared to NWL, NWO was also independently associated with elevated TBRmax values, after adjusting for confounding factors (odds ratioโ€‰=โ€‰2.887, 95% confidence interval 1.206-6.914, pโ€‰=โ€‰0.017). CONCLUSIONS: NWO is associated with a higher degree of subclinical vascular inflammation, of which BF is a major contributing factor. These results warrant investigations for subclinical atherosclerosis in NWO patients.ope

    Normal-weight obesity is associated with increased risk of subclinical atherosclerosis

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    BACKGROUND: Subjects with normal body mass index (BMI) but elevated amounts of body fat (normal-weight obesity; NWO) show cardiometabolic dysregulation compared to subjects with normal BMI and normal amounts of body fat (normal-weight lean; NWL). In this study, we aimed to evaluate whether NWO individuals have higher rates of subclinical atherosclerosis compared to NWL subjects. METHODS: From a large-scale health checkup system, we identified 2078 normal weight (18.5 โ‰ค BMI 1 mm(2) within and/or adjacent to the vessel lumen and classified according to the presence/proportion of intraplaque calcification. RESULTS: NWO subjects (n = 283) demonstrated metabolic dysregulation compared to NWL individuals (n = 1795). After adjusting for age, sex, and smoking, NWO individuals showed higher PWV values than NWL individuals (1474.0 ยฑ 275.4 vs. 1380.7 ยฑ 234.3 cm/s, p = 0.006 by ANCOVA). Compared with NWL subjects, NWO subjects had a higher prevalence of soft plaques even after age, sex, and smoking adjustment (21.6% vs. 14.5%, p = 0.039 by ANCOVA). The PWV value and the log{(number of segments with plaque)โ€‰+ 1} showed a positive correlation with numerous parameters such as age, systolic blood pressure, visceral fat, fasting glucose level, serum triglyceride level, and C-reactive protein (CRP) in contrast to the negative correlation with high-density lipoprotein-cholesterol level. The visceral fat was an independent determinant of log{(number of segments with plaque)โ€‰+ 1} (รŸ = 0.027, SE = 0.011, p = 0.016) even after adjustment for other significant factors. Most importantly, NWO was an independent risk factor for the presence of soft plaques (odds ratio 1.460, 95 % confidence interval 1.027-2.074, p = 0.035) even after further adjustment for multiple factors associated with atherosclerosis (blood pressure, blood glucose, lipid level, CRP, medication, smoking status, physical activity). CONCLUSIONS: NWO individuals carry a higher incidence of subclinical atherosclerosis compared with NWL individuals, regardless of other clinical risk factors for atherosclerosis.ope

    ๋‹ค์–‘ํ•œ ์ŠคํŠธ๋ ˆ์Šค์— ๋Œ€ํ•œ ์—ด์ถฉ๊ฒฉ๋‹จ๋ฐฑ์งˆ ์œ ์ „์ž hsp70 ํ”„๋กœ๋ชจํ„ฐ์˜ ์กฐ์ ˆ๋ถ€์œ„ ๊ทœ๋ช…

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :์˜ํ•™๊ณผ ์ƒํ™”ํ•™์ „๊ณต,2004.Maste

    Ion-induced secondary electron emission coefficients of MgO-based mixed oxides

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    Thesis(master`s)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :ํ™”ํ•™์ƒ๋ฌผ๊ณตํ•™๋ถ€,2006.Maste

    ์ธ๊ณต ๋Œ€๊ตฌ์น˜์—์„œ ๋‘ ๊ฐ€์ง€ ๊ทผ๊ด€ ์ถฉ์ „๋ฒ•์„ ์ด์šฉํ•˜์—ฌ ์นผ์Š˜ ์‹ค๋ฆฌ์ผ€์ดํŠธ ๊ณ„ํ†ต ์‹ค๋Ÿฌ ๋ฐ ๊ฐ€ํƒ€ํผ์ฑ ์ฝ˜ ์ถฉ์ „ ์‹œ ์ถฉ์ „์˜ ์งˆ ํ‰๊ฐ€

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    The purpose of this study was to assess the root filling quality of calcium silicate-based sealer and gutta percha cones by measuring, via micro-computed tomography (micro-CT), the percentage of voids when a single cone or continuous wave filling technique was used for filling artificial molar root canals. Additionally, sealer penetration, as measured by confocal laser scanning microscopy (CLSM), into the isthmus area in human extracted mandibular molars was compared between the two different filling techniques. Twenty artificial molar-shaped teeth were instrumented using rotary files. Three specimens were overlapped by micro-CT to confirm that the prepared canal space was consistent. Teeth were randomly divided into two groups; one group was obturated using the single cone (SC) technique, and the other group was obturated using the continuous wave (CW) technique. Additionally, six human mandibular molars were divided into two groups and prepared similarly. Obturated teeth were scanned by micro-CT, and the percentage of void volume between the filling materials and the root canal walls was calculated in both the apical and coronal areas. Human molars underwent CLSM. The percentage of voids between the filling materials and the root canal walls (%Vout) was not significantly different between the two obturation techniques (p > 0.05), except that, in the coronal area of the distal canal, the CW group showed a significantly higher void volume (p 0.05). In confocal microscopic images of human extracted molars, most of the isthmus area was obturated both in SC and CW groups, but in the SC group, the sealer penetrated the isthmus, while in the CW groups, gutta percha filled the isthmus.open์„

    Recording of EEG and EMG signals from zebrafish

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