• The Journal of Internal Korean Medicine
• /
• v.32 no.2
• /
• pp.232-242
• /
• 2011

Objectives : The purpose of this study was to develop the Korean standard pattern identifications for stroke-III (KSPIS-III). KSPIS-III includes 4 major pattern identifications (PIs) and clinical indicators for each. Methods : To extract the indicators for 4 major PIs, we analyzed 1548 clinical data from 15 traditional Korean medicine hospitals. Patients got acute stroke within 30 days from onset. Two physicians independently checked 65 indicators and performed pattern diagnosis. If the PI were diagnosed the same, PI would be confirmed. First we built an assumption model that set up the relationship among pattern identifications. Second, we extracted the indicators for fire-heat pattern and qi deficiency pattern by comparison between excessive and deficiency group, heat and non-heat group. By comparing yin deficiency pattern and 3 other patterns respectively, we extracted the indicators for yin deficiency pattern. Dampness-phlegm pattern indicators were extracted by the same method. Results : After cross tabulation with 65 indicators on the basis of our assumption model, we finally extracted 19 indicators for fire-heat pattern, 11 for qi deficiency pattern, 7 for yin deficiency pattern, and 7 for dampness-phlegm pattern. Conclusions : KSPIS-III was more improved than KSPIS-II because it was based on more clinical data. Further study to establish the PI diagnostic model would be required for practical use in the clinical field.

• Journal of Physiology & Pathology in Korean Medicine
• /
• v.23 no.5
• /
• pp.964-968
• /
• 2009

The purpose of this study is to select the major pulse indicators and evaluate their significance in discriminating the subtypes of Pattern Identifications (PI) from stroke patients. Decision tree analysis was carried out using clinical data collected from 835 stroke patients with the same subtypes diagnosed identically by two experts with more than 3 year clinical experiences. Among the 10 pulse indicators, 6 major pulse indicators (slow, rapid, strong, weak, slippery, and fine pulse) were selected by decision tree analysis. The accumulated distributions of six pulse indicators in each PI showed that strong was major pulse indicator in Fire-Heat pattern, slippery in Dampness Phlegm pattern, weak in Qi Deficiency pattern. But there were two major combinations in Yin deficiency pattern, weak or fine with rapid pulse and weak or fine without rapid pulse. Therefore, it is suggested that 6 pulse indicators can be used for discrimination of PI in stroke patients, though the combination studies between these pulse indicators and the other PI indicators are left for further study.

• Journal of Korean Medicine for Obesity Research
• /
• v.14 no.1
• /
• pp.24-28
• /
• 2014

Objectives: We conducted this study to analysis obesity pattern and obesity related blood parameters. Methods: A total of 64 overweight and obese (body mass index [BMI] ${\geq}23cm/kg^2$) women who had no other disease was recruited. Body composition and obesity related blood parameters were measured. Also subjects were given and filled out the Obesity pattern identification questionnaire. We analyzed the differences of body composition and blood parameters and measured correlations of BMI and blood parameters in each obesity pattern. Results: The distribution of obesity pattern was liver depression (35.6%), food accumulation (47.5%) and deficiency (pi and yang deficiency, 22.0%), in order. There were no significant differences age, body composition and obesity related blood parameters between obesity patterns. BMI and obesity related blood parameters, however, showed significant correlations depending on obesity patterns. Conclusions: We concluded that correlations between BMI and obesity related blood parameters were differed depending on obesity patterns.

• Journal of Physiology & Pathology in Korean Medicine
• /
• v.24 no.1
• /
• pp.15-21
• /
• 2010

Previously standardization study for identifying 5 types of pattern identification of stroke patients has been performed and the Korean standard of pattern identification (II) was developed. In the present study we investigated the interactions between total indices designated by the Korean standard of pattern identification(KSPI II) and indices for PI of Cold-Heat and Deficiency-Excess. Indicators for Cold-Heat and Deficiency-Excess are isolated from 58 indices through the survey of oriental medicine doctors and their relationship with KSPI-II indices was analyzed by corresponding analysis method using data of 1581 stroke patients. Means and standard deviations indicated that 2 Cold indices, 14 Heat indices, 12 Deficiency indices, and 5 Excess indices were included for Cold-Heat and Deficiency-Excess pattern identification. The results of corresponding analysis shows the relationship of 57 indices and 4 types of pattern identification (excluding 1 index and 1 pattern among 58 indices and 5 patterns) using the cross-tabulation which was obtained from the clinical data. Most of Cold and Heat index were divided to dimension 1(inertia 51.9%) obtained from the result of corresponding analysis. Deficiency and Excess index were partially associated with dimension 2(inertia 31.7%). These data suggest that pattern identification of Cold-Heat plays an role in the standardization of pattern identification in stroke, although further studies are required by various trials such as analysis of surveys and clinical data.

• The Journal of the Society of Stroke on Korean Medicine
• /
• v.13 no.1
• /
• pp.43-51
• /
• 2012

Object : The purpose of this study was to evaluate the relationship between pattern identification (PI) and stroke risk factors, such as hypertension, diabetes mellitus, dyslipidemia, stroke history, obesity, abdominal obesity and metabolic syndrome. Methods : 46 patients with acute ischemic stroke were recruited from May 2012 to November, 2012. We analyzed the data of 32 patients, and pattern identification was identified by resident and specialist of Korean medicine. We analized patient's PI and risk factor by Fisher's exact test. Results : We found that Dampness-phlegm group was more related with patient's metabolic syndrome than non Dampness-Phlegm group. And Yin deficiency group had less relationship with patient's metabolic syndrome, obesity, abdominal obesity and dyslipidemia than non Yin deficiency group. Conclusions : According to the analysis, these results provide evidence for relationship between the Dampness-phlegm group, Yin deficiency and metabolic syndrome.

• Korean Journal of Acupuncture
• /
• v.30 no.4
• /
• pp.230-242
• /
• 2013

Objectives : DongUiBoGam is a representative medical literature in Korea. This research intends to structurally grasp how DongUiBoGam understands the human body and review the methods of acupuncture and moxibustion in the NaeGyeong chapter of it using text mining. Methods : The structure of DongUiBoGam was analyzed with specific parts of the book that described contents, major premises of understanding the human body, and processes of treatment. We analyzed characteristics of each acupoints in a relationship with causes of diseases & symptoms in the NaeGyeong chapter using a Term Frequency - Inverse Document Frequency(TFIDF). Results : Three different categories of pattern identification(PI) were formed after structural analysis of DongUiBoGam. Every causes of diseases & symptoms were transformed according to the three categories of PI. After analyzing the relationship between acupoints and causes of diseases & symptoms, 114 acupoints were visualized with TFIDF values of three PI categories. Conclusions : The selection of acupoints in NaeGyeong chapter of DongUiBoGam were linked to causes of diseases & symptoms based on the three PI categories. Through visualization of bipartite relationships between acupoints and causes of diseases & symptoms, we could easily understand characteristics of each acupoint.

• Journal of Physiology & Pathology in Korean Medicine
• /
• v.30 no.2
• /
• pp.124-130
• /
• 2016

The aim of this study was to suggest the future direction of diagnostic and evaluative pattern identification questionnaire (PIQ) by reviewing the state of development and utilization of PIQ according to Korean classification of disease-U (KCD-U). We surveyed the database of OASIS, NDSL, KISS, DBPIA, and Pub-med to know the kinds of developed and developing PIQ of Korean medicine. We used 'Pattern Identification' and 'Questionnaire' to find suitable papers. The inclusion criteria met 47 cases. The number of PIQ before 2000yrs, between 2001 to 2005, 2006-2010, 2011-2015 were 2, 5, 18, 22cases. The number of PIQ belonged to the disease of Korean medicine, the pathological symptom of korean medicine, the Sasang constitutional pattern identification and etc according to KCD-U were 20(42.6%), 8(17%), 9(19.1%) and 10(21.3%). Twenties among forty seven PIQ were validated, and the rest of them were not validated. The distribution of the numbers of PIQ were significantly different according to KCD-U (p=0.003). The direction of Utilization of PIQ was 36 questionnaires in diagnosing PI, 14 cases in evaluating health state, 4cases in evaluating effects of a treatment and 8 ones in diagnosing Sasang constitutional types. This study reveals the status on validated and non-validated PIQ of Korean medicine and suggests the basic information for the direction of developing PIQ in the future.

• The Journal of Internal Korean Medicine
• /
• v.31 no.4
• /
• pp.752-762
• /
• 2010

Objective : In the present study, we investigated genetic distribution of eight single nucleotide polymorphisms of PON1 between Dampness and Phlegm and non Dampness and Phlegm pattern identification(PI) among Korean stroke patients. Materials and Methods : One hundred forty stroke subject without Dampness and Phlegm and fifty eight stroke subjects with Dampness and Phlegm were participated in this study. After informed consents, eight single nucleotide polymorphisms(SNPs) in PON1 of each subjects were identified by DNA sequencing and primer extension method and statistical analysis was performed to determine the significant difference between Dampness and Phlegm and non Dampness and Phlegm groups. Results : Among anthropometric characteristics and blood parameters, waist circumference and total cholesterol were significantly higher in Dampness and Phlegm. Among 8 SNPs of PON1, frequency of M allele and subjects with M allele in L55M SNP were significantly higher in Dampness and Phlegm group (p=0.0032 and p=0.0053, respectively) but subjects with T allele in C-2033T SNP were lower in Dampness and Phlegm group(p=0.0302). Effect of L55M and C-2033T on Dampness and Phlegm were 3.07% and 1.75%, respectively. Conclusion : Our results suggest that L55M SNP in exon and C-2033T in promoter region of PON1 maybe affect to Dampness and Phlegm pattern identification. However, further study should be carried out to find out the detailed mechanism how L55M and C-2033T can affect Dampness and Phlegm stroke patients.

• Proceedings of the KIEE Conference
• /
• 1993.11a
• /
• pp.246-248
• /
• 1993

We investigated the responses of six types of lipid-coated AT-cut quartz crystal resonators to chemical vapour sensors. The responses of quartz crystal at 9 MHz coated with phosphatidylglycerol (PG), phosphatidylinositol(PI), phosphatidylethanolamine(PE), phosphatidylserine(PS), and lipid A(LA) were obtained for amyl acetate, acetoin, menthane and other organic gases which showed different affinities for each lipid. The identification of odorants depending on the species of lipid used for coating is discussed in terms of the normalized resonant frequency shift pattern.

• Journal of Society of Preventive Korean Medicine
• /
• v.22 no.1
• /
• pp.15-28
• /
• 2018

Objectives : The purpose of this study was to analyze the trend of clinical research on quantitative indicators of Mibyeong in traditional chinese medicine(TCM). Method : The journal search was performed using china national knowledge infrastructure(CNKI) database. Our inclusion criteria were as following: TCM clinical researches for quantitative indicators of Mibyeong. Exclusion criteria were as following: non-TCM clinical researches, used intervention methods. Results : Eleven clinical researches were analyzed in this study. Four of these researches classify the Mibyeong as a type of pattern identification(PI) and studied the characteristics of the PI quantitative indicators. Mibyeong diagnosis was done through guidelines and questionnaires, each was used at a similar rate. Quantitative indicators mentioned in the selected researches were blood indices, nailfold capillary, complexion, color of tongue substance and coating, pulse wave diagrams and heart rate variability. Among them, seven researches related to blood indices were the most. Blood indicators include whole-blood viscosity, plasma viscosity, fibrinogen, packed cell volume(Hct), triglycerides, total cholesterol, HDL-C, LDL-C, glucose, BUN/CREA, luteinzing hormone, estradiol, follicle stimulating hormone, IgA, IgG, etc. Conclusions : Based on this results, in combination with western medicine, it seems necessary to try to interpret the Mibyeong in more various ways. Even if the same Mibyeong, it is necessary to identify the index which changes according to the PI or chief complaint, and to set the Mibyeong standard corresponding thereto.