• IMMUNE NETWORK
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• 제13권6호
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• pp.257-263
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• 2013

Although pathogenesis of human rheumatoid arthritis (RA) remains unclear, arthritogenic T cells and downstream signaling mediators have been shown to play critical roles. An increasing numbers of therapeutic options have been added for the effective control of RA. Nevertheless, there is still a category of patients that fails treatment and suffers from progressive disease. The recently developed immunosuppressant CP-690550, a small molecule JAK kinase inhibitor, has been implicated as an important candidate treatment modality for autoimmune arthritis. In this study, we evaluated the therapeutic effect of CP-690550 on established arthritis using an SKG arthritis model, a pathophysiologically relevant animal model for human RA. CP-690550 treatment revealed remarkable long-term suppressive effects on SKG arthritis when administered to the well-advanced disease (clinical score 3.5~4.0). The treatment effect lasted at least 3 more weeks after cessation of drug infusion, and suppression of disease was correlated with the reduced pro-inflammatory cytokines, including IL-17, IFN-${\gamma}$, and IL-6 and increased level of immunoregulatory IL-10.

• 한국인공지능학회지
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• 제11권1호
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• pp.1-7
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• 2023

In this paper, a study was conducted to compare the prediction model of cardiovascular disease occurrence. It is the No.1 disease that accounts for 1/3 of the world's causes of death, and it is also the No. 2 cause of death in Korea. Primary prevention is the most important factor in preventing cardiovascular diseases before they occur. Early diagnosis and treatment are also more important, as they play a role in reducing mortality and morbidity. The Results of an experiment using Azure ML, Logistic Regression showed 88.6% accuracy, Decision Tree showed 86.4% accuracy, and Support Vector Machine (SVM) showed 83.7% accuracy. In addition to the accuracy of the ROC curve, AUC is 94.5%, 93%, and 92.4%, indicating that the performance of the machine learning algorithm model is suitable, and among them, the results of applying the logistic regression algorithm model are the most accurate. Through this paper, visualization by comparing the algorithms can serve as an objective assistant for diagnosis and guide the direction of diagnosis made by doctors in the actual medical field.

• IMMUNE NETWORK
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• 제23권2호
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• pp.19.1-19.10
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• 2023

Endemic human coronaviruses (HCoVs) have been evidenced to be cross-reactive to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Although a correlation exists between the immunological memory to HCoVs and coronavirus disease 2019 (COVID-19) severity, there is little experimental evidence for the effects of HCoV memory on the efficacy of COVID-19 vaccines. Here, we investigated the Ag-specific immune response to COVID-19 vaccines in the presence or absence of immunological memory against HCoV spike Ags in a mouse model. Pre-existing immunity against HCoV did not affect the COVID-19 vaccine-mediated humoral response with regard to Ag-specific total IgG and neutralizing Ab levels. The specific T cell response to the COVID-19 vaccine Ag was also unaltered, regardless of pre-exposure to HCoV spike Ags. Taken together, our data suggest that COVID-19 vaccines elicit comparable immunity regardless of immunological memory to spike of endemic HCoVs in a mouse model.

• 응용통계연구
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• 제29권1호
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• pp.145-155
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• 2016

이 논문에서는 기상에 따른 고령 환자의 질병 발생빈도를 예측하는 방법을 비교한다. 분석을 위해 건강보험심사평가원의 고령 환자 의료 자료와 기상청 자료를 주별, 권역별로 병합한다. 기상에 영향을 받는 질병의 주별 발생 빈도를 ARMAX모형, VARMAX모형, TSCS회귀모형으로 분석하고 MSE, MAPE, MAE 기준으로 모형을 비교했다.

• 대한수의학회지
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• 제46권2호
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• pp.159-164
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• 2006

A stochastic simulation model incorporated with Reed-Frost approach was derived for evaluating diagnostic performance of a test used for a screening program of an infectious disease. The Reed-Frost model was used to characterize the within-herd spread of the disease using a hypothetical example. Specifically, simulation model was aimed to estimate the number infected animals in an infected herd, in which imperfect serologic tests are performed on samples taken from herds and to illustrate better interpreting survey results at herd-level when uncertainty inevitably exists. From a risk analysis point of view, model output could be appropriate in developing economic impact assessment models requiring probabilistic estimates of herd-level performance in susceptible populations. The authors emphasize the importance of knowing the herd-level diagnostic performance, especially in performing emergency surveys in which immediate control measures should be taken following the survey. In this context this model could be used in evaluating efficacy of a survey program and monitoring infection status in the area concerned.

• Journal of the Korean Data and Information Science Society
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• 제27권5호
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• pp.1225-1239
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• 2016

We investigate pediatric tumor incidence data collected by the Florida Association for Pediatric Tumor program using various models commonly used in disease mapping analysis. Particularly, we consider Poisson normal models with various conditional autoregressive structure for spatial dependence, a zero-in ated component to capture excess zero counts and a spatio-temporal model to capture spatial and temporal dependence, together. We found that intrinsic conditional autoregressive model provides the smallest Deviance Information Criterion (DIC) among the models when only spatial dependence is considered. On the other hand, adding an autoregressive structure over time decreases DIC over the model without time dependence component. We adopt weighted ranks squared error loss to identify high risk regions which provides similar results with other researchers who have worked on the same data set (e.g. Zhang et al., 2014; Wang and Rodriguez, 2014). Our results, thus, provide additional statistical support on those identied high risk regions discovered by the other researchers.

• 동의생리병리학회지
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• 제18권4호
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• pp.1061-1070
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• 2004

Chronic oral aphthae, recurrent ulcer and uveitis are the three main festations of Behcet's disease(BD). The aetiopathogenesis of Behcet's disease is still obscure, but herpes simplex virus is one of the possible casual factors. Gamchosasim-tang (Gancaoxiexin-tang), Banhasasim-tang(Banxiaxiexin-tang) and Saenggangsasim-tang( Shengjiangxiexin-tang) are traditional medication in Oriental medicine, that has been used to treat inflammatory disease. Especially, Gamchosasim-tang used to treat Behcet's disease like symptoms. ICR mice were used for this study. The earlobe of the mice were scratched with a needle, then inoculation with 1.0×10/sup 6/ plaque forming units/㎖ of HSV type I. Virus inoculation was performed twice with 10 day interval, followed by 16 weeks of observation. Using the HSV-induced Behcet's disease mouse model, kinds of Sasim-tang were administered variously before and after inoculation. In order to. classify the symptomatic mice as having Behcet's disease like symptoms. We followed the revised Japanese classification with minor modifications. Ulceration of the mice were monitored. In addition, spleen cytokine expression were measured by polymerase chain reaction, ELISA. HSV DNA was detected in HSV inoculation mice. HSV-induced mice treated with kinds of Sasim-tang showed improvement in symptom. In RT-PCR results, IFN-γ was expressed for all groups, IL-2 was expressed for the treated groups, and IL-10 was also expressed. IL-4 was expressed nothing. In ELISA, IL-2 was increased for GSST 2, BSST 2, GSST 2, GSST3 and INF-γ was increased for GSST 2, BSST 2, SSST 2, SSST 3. This model suggest the possible role of immune response to viral infection in the development and activation of Behcet's disease.

• 동의신경정신과학회지
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• 제19권2호
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• pp.95-110
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• 2008

Objective : This experiment was designed to investigate the effects of the PMCMT hot water extract & ultra-fine powder on Alzheimer's Disease Model Induced by ${\beta}A$. Method : The effects of the PMCMT hot water extract on expression of proinf1ammatory cytokine mRNA in BV2 microglial cell cell line treated by lipopolysacchaide(LPS). The effects of the PMCMT hot water extract & ultra-fine powder on (1) the behavior (2) AChE in serum (3) the infarction area of the hippocampus, and brain tissue injury in Alzheimer's diseased mice induced with ${\beta}A$ were investigated. Result : 1. The PMCMT hot water extract suppressed the expression of proinflammatory cytokine mRNA in BV2 microglial cell line treated with LPS. 2. The PMCMT hot water extract & ultra-fine powder a significant inhibitory effect on the memory deficit was shown for the mice with Alzheimer's disease induced by ${\beta}A$ in the Morris water maze experiment, which measured stop-through latency and distance movement-through latency 3. The PMCMT hot water extract & ultra-fine powder suppressed the over-expression of AChE activity in the serum of the mice with Alzheimer's disease induced by ${\beta}A$. 5. The PMCMT ultra-fine powder reduced infarction area of hippocampus significantly, and the PMCMT hot water extract & ultra-fine powder controlled the injury of brain tissue in the mice with Alzheimer's disease induced by ${\beta}A$. Conclusions : These results suggest that the PMCMT hot water extract & ultra-fine powder may be effective for the prevention and treatment of Alzheimer's disease. Investigation into the clinical use of the PMCMT hot water extract & ultra-fine powder for Alzheimer's disease is suggested for future research.

• 한국의료질향상학회지
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• 제10권2호
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• pp.204-215
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• 2003

Background : ICD-10 Classification, which is used domestically as well as internationally, has limited use in the clinical practice since it is developed for at disease statistics and epidemiology. Therefore, the purposes of this study were to improve the quality of diagnosis by constructing a new disease classification based on the diagnoses doctors currently make in the clinical setting and connecting this classification with OCS and EMR, and to meet the demands of doctors for high quality medical study data in medical research. Methods : The specialists in each ophthalmic subfield collected clinical diagnoses and abbreviations based on the ophthalmology textbooks and confirmed the classifications. Total number of clinical diagnoses collected was totaled 672, for which ideal diagnoses had been selected and a new model of disease classification model in connection with ICD-10 was constructed. The constructed classification of clinical diagnoses consisted of six steps: the first step was the classification by ophthalmic subspecialty field; the second to fifth steps were the detailed classification by each specialty field; the sixth step was the classification by site. Results : After introducing the new disease classification, research on the use and a pre-post comparison was conducted. The result from the research on the use of the clinical diagnoses in inpatient and outpatient care has shown a gradually increasing tendency. From the pre-post comparison of EMR discharge summary diagnoses, the result demonstrated that the diagnosis was stated correctly and in detail. Since the diagnosis was stated correctly, code classification became correct as well, which makes it possible to construct high quality medical DB. Conclusion : This construction of clinical diagnoses provides the medical team with high quality medical information. It is also expected to increase the accuracy and efficiency of service in the department of medical record and department of insurance investigation. In the future, if hospitals wish to construct a classification of clinical diagnosis and a standard proposal of clinical diagnosis is presented by a medical society, the standardization of diagnosis seems to be possible.

• 한국콘텐츠학회논문지
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• 제18권10호
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• pp.145-157
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• 2018

본 연구에서는 국민건강보험공단 코호트를 이용하여 한국의 사망원인 1, 2, 3 위에 해당하는 질병이자 4대 중증질환에 포함되는 암, 뇌졸중, 심근경색 환자의 소득수준이 사망에 미치는 영향을 확인하고자 한다. 또한 발병 1년 이후 이차적으로 암, 심뇌혈관 질환에 발생할 위험을 확인하고자 한다. 2007년 해당 질환으로 신규 발병한 환자를 대상자로 하여 2015년까지 관찰하였고, 분석은 Cox 확률비례위험모형과 경쟁위험모형을 이용하였다. 소득수준은 2007년 발병 당시 정보를 사용하였으며, 소득분위 수 1~3/4~7/8~10으로 나눠 각각 low/mid/high로 범주화하였고 '의료급여'군은 low군으로 분석에 포함했다. 연구 결과에서 소득분위 수준에 따라 암, 뇌졸중, 심근경색이 발병한 환자의 사망 위험이나 추가 발병 위험에 차이가 있음이 나타났다. 저소득층의 초기 사망을 낮추기 위한 사회적 안전망이 필요하다는 것과 더불어 현 정책과 같이 중증질환에 대한 보편적인 보장성 강화도 지속해서 필요하다고 보인다.