• The Journal of the Society of Korean Medicine Diagnostics
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• v.17 no.3
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• pp.179-188
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• 2013

Objectives This study was designed to development the diagnosis indicators for the fatigue group without disease using analysis of questionnaire data. Methods The subjects were divided into three groups, the fatigue group with disease, the fatigue group without disease, non-fatigue group without disease. Thirteen kinds of questionnaire (Fatigue visual analogue scale, Fatigue severity scale, Pain visual analogue scale, Short-form McGill pain questionnaire score, Headache impact Test-6, Neck disability index, Oswestry low back pain disability questionnaire score, Blood stasis assessment scale, Physical activities questionnaire score, Beck depression inventory, Anger expression inventory score, Mood disability scale, Job stress scale) were carried out for the subjects. Results The results of this study are ; 1) The weight, the systolic and diastolic blood pressure were different among three groups. 2) Among nine questionnaires related to the physical or life conditions, the averages of eight questionnaires were not same one another. 3) Among four questionnaires related to the mental condition or autonomic nervous system, the averages of Beck depression inventory were not same one another. Conclusion The fatigue group without disease can be diagnosed through using the both the questionnaires related to the physical or life condition and the those related to the mental condition or autonomic nervous system.

• Genomics & Informatics
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• v.21 no.3
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• pp.28.1-28.13
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• 2023

Mild cognitive impairment (MCI) is a clinical syndrome characterized by the onset and evolution of cognitive impairments, often considered a transitional stage to Alzheimer's disease (AD). The genetic traits of MCI patients who experience a rapid progression to AD can enhance early diagnosis capabilities and facilitate drug discovery for AD. While a genome-wide association study (GWAS) is a standard tool for identifying single nucleotide polymorphisms (SNPs) related to a disease, it fails to detect SNPs with small effect sizes due to stringent control for multiple testing. Additionally, the method does not consider the group structures of SNPs, such as genes or linkage disequilibrium blocks, which can provide valuable insights into the genetic architecture. To address the limitations, we propose a Bayesian bi-level variable selection method that detects SNPs associated with time of conversion from MCI to AD. Our approach integrates group inclusion indicators into an accelerated failure time model to identify important SNP groups. Additionally, we employ data augmentation techniques to impute censored time values using a predictive posterior. We adapt Dirichlet-Laplace shrinkage priors to incorporate the group structure for SNP-level variable selection. In the simulation study, our method outperformed other competing methods regarding variable selection. The analysis of Alzheimer's Disease Neuroimaging Initiative (ADNI) data revealed several genes directly or indirectly related to AD, whereas a classical GWAS did not identify any significant SNPs.

• Journal of Preventive Medicine and Public Health
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• v.21 no.2 s.24
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• pp.390-403
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• 1988

The objectives of the study were to provide the basic informations needed in the development of balanced medical services throughout the nation. As the national health care system was expanding rapidly along with the economic growth, quantitative re-evaluation of the system is of great need. For that reason, characteristics of the admitted patients were analyzed for the case-mix and patients' flow within and through regions. Materials were 421,530 cases of inpatients, who were reported through Korea Medical Insurance Corporation(KMIC) for insurance claim, during the period of March 1, 1985 through February 28, 1987. Korean Diagnosis Related Groups(K-DRGs) classification system was adopted for the study of case-mix and 189 cities and counties were classified into 5 district groups by factor analysis results of K-DRGS. The major findings of this study were as follows ; 1) Factor analysis of case-mix, employing K-DRG system, revealed 5 distinct funtional district groups. Group A(18 districts) was prominent for tertiary medical care. In group B(36 districts), rather simple procedures were prevalent. Group C(26 districts) was distinctive for the medical care of well organized internal medicine practices with qualified clinical laboratories. Group D(17 districts) was characterized by relatively high balanced medical care. Group E (92 districts) was with very low level of medical care. 2) Analysis of the case-flow through the districts showed 3 types of flow patterns : inflow, outflow, and balanced types. Inflow type of case-flow was found in Group A, C and D while Group B and E showed outflow type. Inflow was most prominent in Group A and Group E was of typical outflow type. Group B was consistently the outflow type except for Major Diagnostic Category XX regardless of the disease treaters, but Group C and D were inflow or outflow types according to the disease tracers.

• Journal of Oral Medicine and Pain
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• v.34 no.4
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• pp.387-395
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• 2009

Nerve growth factor (NGF) and sensory neuropeptides are involved in the process of nociception at peripheral nerve fibers and wide spread in central nervous system. The aims of this study were to investigate NGF and sensory neuropeptides (substance P [SP] and calcitonin gene-related peptide [CGRP]) levels in human plasma and saliva, and the associations between these sensory neuropeptides levels and chronic orofacial pain symptoms. NGF, SP, and CGRP levels in plasma and resting whole saliva samples collected from 67 orofacial pain patients (joint pain, dental or periodontal pain, mucosal pain) and 36 pain free control subjects were measured by enzyme immunoassay. The characteristic pain intensity of each subject was measured using the Graded Chronic Pain Scale and the flow rate of resting whole saliva was measured. Joint pain patients group showed significantly higher plasma NGF level compared to each of dental pain patients (p<0.01), mucosal pain patients (p<0.01), and control group (p<0.01). Plasma NGF level of dental pain patients group was significantly higher than that of control group (p<0.01). Saliva SP level of dental pain patients group (p<0.05) and saliva CGRP level of mucosal pain group (p<0.05) were significantly higher than that of control group. Plasma and saliva SP levels of joint pain patients was significantly associated with pain intensity (plasma: standardized coefficient=0.599, p<0.01, saliva: standardized coefficient=0.504, p=0.05). In dental pain patients group, plasma SP (standardized coefficient=0.559, p<0.01), saliva SP (standardized coefficient=0.520, p<0.01) and saliva CGRP (standardized coefficient=0.599, p<0.01) levels were significantly associated with age. In mucosal pain patients group, plasma SP (standardized coefficient=0.495, p<0.05), saliva SP (standardized coefficient=0.500, p<0.05), and saliva CGRP (standardized coefficient=0.717, p<0.01) levels were significantly associated with age. NGF and neuropeptides may play a role in the maintenance of various orofacial pain symptoms. The examination of those levels in plasma and saliva helps understanding the mechanism of orofacial pain, and furthermore, can be applied to the diagnosis and therapy of orofacial pain.

• Journal of Preventive Medicine and Public Health
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• v.36 no.2
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• pp.147-152
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• 2003

Objectives : To develop a Diagnosis-Related Group (DRG) fraud candidate detection method, using data mining techniques, and to examine the efficiency of the developed method. Methods ; The Study included 79,790 DRGs and their related claims of 8 disease groups (Lens procedures, with or without, vitrectomy, tonsillectomy and/or adenoidectomy only, appendectomy, Cesarean section, vaginal delivery, anal and/or perianal procedures, inguinal and/or femoral hernia procedures, uterine and/or adnexa procedures for nonmalignancy), which were examined manually during a 32 months period. To construct an optimal prediction model, 38 variables were applied, and the correction rate and lift value of 3 models (decision tree, logistic regression, neural network) compared. The analyses were peformed separately by disease group. Results : The correction rates of the developed method, using data mining techniques, were 15.4 to 81.9%, according to disease groups, with an overall correction rate of 60.7%. The lift values were 1.9 to 7.3 according to disease groups, with an overall lift value of 4.1. Conclusions : The above findings suggested that the applying of data mining techniques is necessary to improve the efficiency of DRG fraud candidate detection.

• Women's Health Nursing
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• v.25 no.3
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• pp.273-284
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• 2019

Purpose: As the number of infertile couples has grown, many infertile women have experienced depression during the diagnosis and treatment of their infertility. This study aimed to identify the factors related to depression in infertile women who underwent reproductive treatments. Methods: The study subjects were 149 infertile women who underwent reproductive treatments. The data were collected by self-administered questionnaires from August 1 to December 24, 2018. The questionnaire consisted of questions about fatigue, health-promoting behavior, and depression. Analyses of the descriptive statistics, t-tests, one-way analysis of variance, correlation, and multiple regression were conducted using the SPSS 25.0 Windows program. Results: Thirty-six of the women in the study (24.2%) were in the probably depressed group and 113 (75.8%) were in the definitely depressed group and 100% of the subjects experienced symptoms of depression. Depression was positively correlated with fatigue and negatively correlated with health-promoting behavior. Multiple regression analysis revealed that fatigue and interpersonal relationships were factors significantly related to depression in the model (p<.001), with an explanatory power of 42.6%. Conclusion: The results confirmed that fatigue and interpersonal relationships, which is a subfactor of health-promoting behavior, were factors related to depression. To alleviate depression in infertile women, efforts should be made to identify and reduce psychological and physical fatigue. In addition, minimizing relational difficulties that they experience during an infertility diagnosis and treatment and strengthening positive interpersonal relationships can be positive strategies to alleviate depression.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.3
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• pp.1063-1067
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• 2015

Background: Tumor associated fatigue (TAF) or cancer related fatigue (CRF) is not a new concept. Nonetheless, no real headway has been made in the quantitative analysis of its successful treatment via cognitive behavioral therapy. Since 20 to 30% of all breast cancer patients suffer from anxiety and/or depression within the first year of their diagnosis, this issue needs to be addressed and a standard treatment protocol has to be developed. This study focused on developing a simple, reproducible and short (8 weeks) protocol for the cognitive behavioral therapy support of tumor associated fatigue patients. Materials and Methods: Between the year 2011 and 2012, 23 breast cancer patients fulfilled the diagnosis TAF requirements and were introduced into this study. Our method focused on a psycho-oncological support group using a predetermined, highly structured and reproducible, cognitive behavioral therapy treatment manual. Eight weekly, 90 minute sessions were conducted and patients were evaluated before and after this eight session block. Tumor fatigue specific questionnaires such as the multidimensional fatigue inventory (MFI) as well as the hospital anxiety and depression scale (HADS) were used in order to quantitatively evaluate patient TAF. Results: Of the 23 patients enrolled in the study, only 7 patients fulfilled the TAF diagnostic criteria after the psycho-oncological group treatment. This represents a 70% reduction in diagnosable tumor associated fatigue. The HADS analysis showed a 33% reduction in patient anxiety as well as a 57% reduction in patient depression levels. The MFI scores showed a significant reduction in 4 of the 5 evaluate categories. With the exception of the "mental fatigue" MFI category all results were statistically significant. Conclusions: This study showed that a highly structured, cognitive behavioral therapy group intervention will produce significant improvements in breast cancer patient tumor associated fatigue levels after only 8 weeks.

• Journal of Oral Medicine and Pain
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• v.19 no.1
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• pp.33-43
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• 1994

The purpose of this paper was to observe the influence of Ga-As semiconductor-low power generating laser on she appearance and actions of tenascin, extracellular matrix, as healing process of intentional wound on the experimental animals is taking place. 35 rabbits were divided into control and experimental group. ; and on each, 3mm-long and 2mm-deep, surgical wounds were created on buccal oral mucosa and thoracodorsal portion of skin. Ga-As laser was applied to the experimental group starting a day of the day the wounds were created , the laser was applied for 5 minutes every other day. Tissue samples were taken after the 2, 4, 7, 10, and 14 days after wound formation. Then tile healing process of experimental and control groups were observed and compared, using light microscope. Afterwards, the samples were immunohistochemical stained and again observed tenascin by quantitative measuring. The following results were obtained : 1. Tenascin was observed prevalently on epithelial cells, border area of dermis, and interstitial matrix between connective tissue layers in both experimental and control groups. 2. In oral mucosa, the experimental group showed significant increase in the appearance of tenascin after 4 days compared to the control group, but after 10 days, it decreased to a point which is even less than the control group. 3. In the skin samples, the pattern of appearance of tenascin was the same in both groups, but there was some difference concerning when the peak period was shown, In the experimental group, the peak period of tenascin expression was the 7 days after wound formation in epithelium and connective tissue. In the control group, the peak period was 10 days after. 4. In both the experimental and control groups, tenascin first appeared in the epithelium near the wound area and submucosa, and then spread on the underlying connective tissue. In conclusion, appearance of tenascin is closely related to regeneration of epithelium and development of granulation tissue : therefore, low power laser, which fastnes appearance of tenascin, is sure to faciltate healing process of oral mucosa.

• Health Policy and Management
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• v.23 no.1
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• pp.35-43
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• 2013

Background: Diagnosis procedure combination (DPC) has recently been introduced in Korea as a demonstration project and it has aimed the improvement of accuracy in bundled payment instead of Diagnosis related group (DRG). The purpose of this study is to investigate that the model of end-stage liver disease (MELD) score as the severity classification of liver diseases is adequate for improving reimbursement of DPC. Methods: The subjects of this study were 329 patients of liver disease (Korean DRG ver. 3.2 H603) who had discharged from National Health Insurance Corporation Ilsan Hospital which is target hospital of DPC demonstration project, between January 1, 2007 and July 31, 2010. We tested the cost differences by severity classifications which were DRG severity classification and clinical severity classification-MELD score. We used a multiple regression model to find the impacts of severity on total medical cost controlling for demographic factor and characteristics of medical services. The within group homogeneity of cost were measured by calculating the coefficient of variation and extremal quotient. Results: This study investigates the relationship between medical costs and other variables especially severity classifications of liver disease. Length of stay has strong effect on medical costs and other characteristics of patients or episode also effect on medical costs. MELD score for severity classification explained the variation of costs more than DRG severity classification. Conclusion: The accuracy of DRG based payment might be improved by using various clinical data collected by clinical situations but it should have objectivity with considering availability. Adequate compensation for severity should be considered mainly in DRG based payment. Disease specific severity classification would be an alternative like MELD score for liver diseases.

• Korean Journal of Psychosomatic Medicine
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• v.20 no.2
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• pp.91-97
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• 2012

Objectives : With the increase in cancer prevalence, the health behavior of cancer survivors has become an important issue. This study was conducted to examine the psychosocial correlates of behavior changes after cancer diagnosis. Methods : 95 patients completed questionnaires assessing depression, anxiety, insomnia, posttraumatic stress symptoms, social constraints, personal beliefs about cancer cause and health-related behavior changes after cancer diagnosis. Results : In the multiple logistic regression analysis, insomnia was the only significant predictor of positive change in physical behavior : normal sleep group(Odds ratio=9.462, 95% CI 1.738-51.509) and subthreshold insomnia group(Odds ratio=10.529, 95% CI 1.701-65.161) showed a larger increase compared to the insomnia group. In psychosocial behavior, low age, religion and causal belief in hormonal factors were independent factors that predicted increase in positive change. Conclusions : This study showed a difference between predictors of physical and psychosocial health behavior change after breast cancer diagnosis. Multi-faceted approaches are required to promote positive change in health behavior in cancer patients.