• Archives of Plastic Surgery
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• v.35 no.3
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• pp.316-320
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• 2008

Purpose: Pachydermoperiostosis is a rare hereditary disease characterized by finger clubbing, periosteal reaction, and pachydermia. The underlying pathogenic mechanism of this disease remains unclear. This disease is known to be associated with a variety of diseases such as cranial suture defect, bone marrow failure, hypertrophic gastropathy, Crohn's disease, and female escuchen. Methods: A 50-year-old male had digital clubbing of both hands, coarse hypertrophic skin changes of face, progressive thickening and furrowing on the scalp(cutis verticis gyrata), persistent pain in the limbs and joints. Other cutaneous features include moderate blepharoptosis, pole-like lower legs and feet. Results: We performed surgical excision for hypertrophic skin change of scalp because of frequent eczematous skin change, severe itching sensation and cosmetic problem. Diagnosis is confirmed by bony proliferative periosteal reaction, pathologic findings, and characteristic clinical findings. Conclusion: Pachydermoperiostosis is manifested by finger clubbing, and hypertrophic skin changes causing coarse facial features with thickening and periosteal bone formation. We experienced a case of pachydermoperiostosis. Brief review of related literature is given.

• Journal of Physiology & Pathology in Korean Medicine
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• v.36 no.5
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• pp.163-168
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• 2022

After the outbreak of COVID-19 in China, the national health commission of the people's republic of China distributed guidelines for the diagnosis and treatment of COVID-19. Based on that, each region of China made guidelines for traditional Chinese medical treatment of COVID-19 applicable to clinical field. Under the hypothesis that each region's guideline contains regional characteristics, a comparison was made on pattern identification among each region's guidelines and central guidelines. At the beginning of the analysis of the cases, opinions on pattern identification vary from region to region, and the diversity is mainly reflected in the early stage of the disease. When the guideline is organized to a certain level due to the accumulation of clinical cases, there is a strong tendency to enumerate various types of pattern identification. It means that as a specific infectious disease progresses, it can appear in various cases due to variables. In some guidelines, disease stages were analyzed by only a limited pathological mechanism, but no regional characteristics were found here. Rather, it may mean that unique characteristics for disease can be derived.

• Journal of Physiology & Pathology in Korean Medicine
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• v.24 no.5
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• pp.727-736
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• 2010

This study is about researching mechanistic pattern identification of disease for DongEuiBoGam NaeGyungPyen by analysing with pattern identification of modern Traditional Korean medical patholgy as more logical, systematic and standardized theory. Disease pattern mechanisms of uterine, urine and excrements parts of DongEuiBoGam NaeGyun gPyen in NaeGyungPyen of DongEuiBoGam are these. Menstrual irregularities in DongEuiBoGam can be classified flui d-humor depletion, blood deficiency, qi deficiency, qi stagnation, qi stagnation complicated by heat, blood stasis, blood deficiency complicated by heat, syndrome of heat entering blood chamber, syndrome of cold entering blood chamber. The disease pattern of abdominal pain after menstruation in DongEuiBoGam is blood deficiency complicated by heat, and a dysmenorrhea represents blood stasis with heat, fluid-humor deficiency. Advanced menstruation represent dual heat of the qi and blood, delayed menstruation is blood deficiency. The disease pattern of inhibited urination in DongEuiBoGam can be classified deficiency heat pattern of kidney yin deficiency(yin deficiency with effulgent fire), kidney qi deficiency, yin deficiency with yang hyperactivity, fluid-humor depletion, spleen-stomach dual deficiency, and excess he at pattern of bladder excess heat. The disease pattern of urinary incontinence in DongEuiBoGam can be classified deficiency pattern of kidney-bladder qi deficiency, consumptive disease, lung qi deficiency, kidney yin deficiency(yin deficiency with effulgent fire), kidney yang deficiency and excess pattern of lower energizer blood amassment, bladder excess heat. And most of them are deficiency from deficiency-excess Pattern Identification. The disease pattern of diarrhea in DongEuiBoGam can be classified deficiency pattern of qi deficiency, qi fall, spleen yang deficiency, kidney yang deficiency and so on and excess pattern of wind-cold-summerheat-dampness-fire, phlegm-fluid retention, dietary irregularities, qi movement stagnation. And most of them are deficiency from deficiency-excess Pattern Identification. Like these, this study identify pattern of disease in DongEuiBoGam by mechanism of disease theory.

• International journal of advanced smart convergence
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• v.13 no.2
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• pp.61-68
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• 2024

In the quest for advancing diabetes diagnosis, this study introduces a novel two-step machine learning approach that synergizes the probabilistic predictions of Logistic Regression with the classification prowess of Random Forest. Diabetes, a pervasive chronic disease impacting millions globally, necessitates precise and early detection to mitigate long-term complications. Traditional diagnostic methods, while effective, often entail invasive testing and may not fully leverage the patterns hidden in patient data. Addressing this gap, our research harnesses the predictive capability of Logistic Regression to estimate the likelihood of diabetes presence, followed by employing Random Forest to classify individuals into diabetic, pre-diabetic or nondiabetic categories based on the computed probabilities. This methodology not only capitalizes on the strengths of both algorithms-Logistic Regression's proficiency in estimating nuanced probabilities and Random Forest's robustness in classification-but also introduces a refined mechanism to enhance diagnostic accuracy. Through the application of this model to a comprehensive diabetes dataset, we demonstrate a marked improvement in diagnostic precision, as evidenced by superior performance metrics when compared to other machine learning approaches. Our findings underscore the potential of integrating diverse machine learning models to improve clinical decision-making processes, offering a promising avenue for the early and accurate diagnosis of diabetes and potentially other complex diseases.

• Journal of Preventive Medicine and Public Health
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• v.50 no.5
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• pp.320-327
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• 2017

Objectives: The purpose of our study was to evaluate the association between the intensity of physical activity (PA) and prevalence of cardiovascular disease (CVD) using Korean representative data. Methods: We analyzed 39 804 participant data from the Korea National Health and Nutrition Examination Survey, 2007-2013. Exposure variable was three levels of PA (low, medium, and high) in a week, and outcome variable was prevalence of CVD based on patient self-recognition and doctor's diagnosis. Complex logistic regression analysis was performed to evaluate the relationship between level of PA and CVD adjusted by body mass index, hypertension, hypercholesterolemia, diabetes mellitus, stress recognition, household income, smoking, and current drinking. The indices of association w ere estimated as crude prevalence odds ratio (POR), adjusted POR, and their 95% confidence interval (CI). All statistical analyzes were performed using complex sample analysis procedure of the SPSS version 23.0. Results: When all variables were adjusted, only high level PA in women showed a significant association with stroke (adjusted POR by patient's self-recognition, 0.57; 95% CI, 0.32 to 0.99, adjusted POR by doctor's diagnosis, 0.55; 95% CI, 0.34 to 0.87) and CVD (adjusted POR by doctor's diagnosis, 0.68; 95% CI, 0.48 to 0.96). Conclusions: High level PA in women has a significant reverse association with prevalence of stroke and CVD in Korea. Further study for elucidating the mechanism will be needed.

• Journal of The Korean Society of Inherited Metabolic disease
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• v.16 no.1
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• pp.10-17
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• 2016

The 3-methylglutaconic aciduria (3-MGA-uria) is a heterogeneous group of several inborn errors of metabolism characterized by increased urinary excretion of 3-methylglutaconic acid. In most cases, 3-MGA is only slightly increased and combined with other metabolites. However, repeated and significant excretion of 3-MGA (40->1,000 mmol/mol creatinine) is a hallmark of the disorders of 3-MGA-urias. There have identified five distinct types of disorders: inborn errors of leucine metabolism and four disorders of mitochondrial dysfunction through different mechanism. The range of clinical and biochemical findings in this condition is variable. In the patients with 3-methylglutaconyl-CoA hydratase deficiency, increased 3-hydroxyisovaleric acid is useful in the differential diagnosis. Other forms of 3-MGA-urias are welldefined clinically such as Barth syndrome, Costeff syndrome, TMEM 70 defect, MEGDEL syndrome, and DCMA syndrome. We provide an overview of the expanding clinical spectrum and differential diagnosis of the 3-MGA-urias.

• Korean Journal of Psychosomatic Medicine
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• v.7 no.2
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• pp.274-280
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• 1999

A variety of mechanism may generate pain resulting from injury to the central and peripheral nervous system. None of these mechanism is disease-specific, and several different pain mechanism may be simultaneously present in anyone patient, independent of diagnosis. Diagnosis of neuropathic pain is often easily made from information gathered on neurologic examination and from patient history. Although treatment of neuropathic pain may be difficult, optimum treatment can be achieved if the neurologist has a complete understanding of therapeutic options, the mainstay of which is pharmacotherapy. Selection of an appropriate rharmacologic agent is by trial and error since individual responses to different agents, doses, and serum levels are highly variable. An adequate trial for each agent tried is key to pharmacologic treatment of neuropathic pain. Tricyclic antidepressants are first-line agents, although other drugs, including anticonvulsants, local anesthetic antiarrhythmics, clonidine, opiates, and certain topical agents, also offer pain relief in some patient populations. The novel antidepressants venlafaxine and nefazodone are potentially useful new drugs that are better tolerated than tricyclic antidepressants. Also Gabapentine seems an interesting and promising drug for the treatment of neuropathic pain.

• Journal of Korean Medical classics
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• v.31 no.2
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• pp.105-126
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• 2018

Objectives : This paper aims to study the educational meaning of Shanghanjiushilun in Shanghanlun education focusing on purgation therapy. Methods : Clinical medical records in Shanghanjiushilun associated with purgation therapy were chosen, analyzed and its educational meaning was studied. Results & Conclusions : 1. Xushuwei's clinical medical records are significant as it helps the readers think of various disease mechanisms by not omitting mistreatment of the other doctors. 2. Xushuwei's clinical medical records are significant as it helps the readers become aware of the importance of a differential diagnosis through questions and answers. 3. Xushuwei's clinical medical records are significant as it helps the readers avoid looking at one side of things through taking a comprehensive look at disease syndrome in various fields. 4. Xushuwei's clinical medical records are significant as it helps the readers escape unreasonableness by suggesting practical aspect managing the patient. 5. Xushuwei's clinical medical records are significant as it enable the readers to draw a new disease mechanism interpretation by making up for explanations of the pathogenesis quoting medical classics. 6. Consequently, in learning and teaching Shanghanlun, Xushuwei's clinical medical records have enough educational meaning as mentioned above.

• Journal of Korean Medical classics
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• v.36 no.1
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• pp.45-78
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• 2023

Objectives : Based on the Zangfuyaoshibuzheng of Zhang Shanlei, this paper examines the tip/root division of the Zangfu, features of medicinal application according to deficiency/excess or cold/heat, and erroneous cases in the Zangfuxushibiaobenyongyaoshi of Zhang Jiegu. Methods : Categorization according to tip/root, cold/heat, deficiency/excess and respective medicinal applications in the Zangfuxushibiaobenyongyaoshi were organized, followed by thorough analysis based on the annotations in the Zangfuyaoshibuzheng. Results : First, in the treatment principle of the Zangfu diseases, each of their physiological function and pathological mechanism were analyzed so that the disease patterns are understood accurately and treated accordingly. Second, in categorizing treatment methods, terminology application was modified in overlapping or ambiguous cases so that they could be better distinguished. Third, medicinal categories that were designated to treat each Zangfu disease were explained well based on unique features. In cases where medicinals were falsely included, they were identified and corrected based on sound reasoning. Conclusions : The pattern diagnosis in the Zangfuyaoshibuzheng is clear, and medicinal application analysis is intelligible. As it thoroughly corrects and revises errors in Zhang Jiegu's theories, it could provide valuable assistance in selecting each medicinals when treating disease patterns of the Five Zang.

• Proceedings of the Korean Vacuum Society Conference
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• 2011.02a
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• pp.431-431
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• 2011

Graphene, two dimensional sheet of sp2-hybridized carbon, has attracted an enormous amount of interest due to excellent electrical, chemical and mechanical properties for the application of transparent conducting films, clean energy devices, field-effect transistors, optoelectronic devices and chemical sensors. Especially, graphene is promising candidate to detect the gas molecules and biomolecules due to the large specific surface area and signal-to-noise ratios. Despite of importance to the disease diagnosis, there are a few reports to demonstrate the graphene- and rGO-FET for biological sensors and the sensing mechanism are not fully understood. Here we describe scalable and facile fabrication of rGO-FET with the capability of label-free, ultrasensitive electrical detection of a cancer biomarker, prostate specific antigen/${\alpha}1$-antichymotrypsin (PSA-ACT) complex, in which the ultrathin rGO sensing channel was simply formed by a uniform self-assembly of two-dimensional rGO nanosheets on aminated pattern generated by inkjet printing. Sensing characteristics of rGO-FET immunosensor showed the highly precise, reliable, and linear shift in the Dirac point with the analyte concentration of PSA-ACT complex and extremely low detection limit as low as 1 fg/ml. We further analyzed the charge doping mechanism, which is the change in the charge carrier in the rGO channel varying by the concentration of biomolecules. Amenability of solution-based scalable fabrication and extremely high performance may enable rGO-FET device as a versatile multiplexed diagnostic biosensor for disease biomarkers.