• The Journal of Korean Medicine
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• v.40 no.4
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• pp.49-60
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• 2019

Objectives: To develop a standardized diagnostic pattern identification equation for stroke patients, our group conducted a study to derive the predictive logistic equations. However, the sample size was relatively small. In the current study, we aimed to derive new predictive logistic equations for each diagnostic pattern using an expanded number of subjects. Methods: This study was a hospital-based multi-center trial recruited stroke patients within 30 days of symptom onset. Patients' general information, and the variables related to diagnostic pattern identification were measured. The diagnostic pattern of each patient was identified independently by two Korean Medicine Doctors. To derive a predictive model for pattern identification, binary logistic regression analysis was applied. Results: Among the 1,251 patients, 385 patients (30.8%) had the Fire Heat Pattern, 460 patients (36.8%) the Phlegm Dampness Pattern, 212 patients (16.9%) the Qi Deficiency Pattern, and 194 patients (15.5%) the Yin Deficiency Pattern. After the regression analysis, the predictive logistic equations for each pattern were determined. Conclusion: The predictive equations for Fire Heat, Phlegm Dampness, Qi Deficiency, and Yin Deficiency would be useful to determine individual stroke patients' pattern identification in the clinical setting. However, further studies using objective measurements are necessary to validate these data.

• The Journal of Korean Medicine
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• v.21 no.3
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• pp.51-56
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• 2000

To assess the relationship between the severity of stenosis in MCA territory and the differentiation of syndromes in oriental medical aspects, the general characteristics, the scores of stroke-pattern identification, and the findings of MRA were compared in 18 acute cerebral infarction patientshospitalized in Dept. of Internal Medicine, Pundang CHA Oriental Medicine Hospital from 1998 sep. 1 to 1999 sep. 31. We compared the scores of stroke-pattern identification with the severity of stenosis by Kruskall-Wallis test, and analyzed the relationship by Pearson correlation test. The P value under 0.05 was regarded as significant. The results are as follows: The incidence of stenosis(mild to complete occlusion) was 83.3%. There were significant difference of the mean scores according to the severity of stenosis in Yin deficiency pattern. We could also observe a strong relationship between the severity of stenosis and Yin deficiency pattern, whose Pearson correlation coefficient was 0.655 (P<0.05). These results showed that Yin deficiency pattern could be a major cause of cerebral infarction.

• The Journal of Korean Medicine
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• v.33 no.4
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• pp.1-8
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• 2012

Objectives: The purpose of this study was to specify major tongue diagnostic indicators and evaluate their significance in discriminating pattern identification subtypes in stroke patients. Methods: This study used a community based multi-center observational design. Participants (n=1,502) were stroke patients admitted to 11 oriental medical university hospitals between December 2006 and February 2010. To determine which tongue indicator affected each pattern identification, a decision tree analysis of the chi-square automatic interaction detector (CHAID) algorithm was performed. The chi-squared test was used as the criterion in splitting data with a p-value less than 0.05 for division, which is the main procedure for developing a decision tree. The minimum sample size for each node was specified as n =10, and branching was limited to two levels. Results: From the 9 tongue diagnostic indicators, 6 major tongue indicators (red tongue, pale tongue, yellow fur, white fur, thick fur, and teeth-marked tongue) were identified through the decision tree analysis. Furthermore, each pattern identification was composed of specific combinations of the 6 major tongue indicators. Conclusions: This study suggests that the 6 tongue indicators identified through the decision tree analysis can be used to discriminate pattern identification subtypes in stroke patients. However, it is still necessary to re-evaluate other pattern identification indicators to further the objectivity and reliability of traditional Korean medicine.

• The Journal of the Society of Stroke on Korean Medicine
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• v.13 no.1
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• pp.33-42
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• 2012

Object : The aim of this study was to assess the clinical indicators related to Pattern-Identification(PI) in acute cerebral infarction patients. Methods : We studied hospitalized patients within 30days after ictus, who admitted at Korean Medicine Center of Kyung-Hee University from January 2010 to October 2012.(n=290) Two Traditional Korean Medicine(TKM) physicians evaluated the patients independently and diagnosed PI. Inter-rater reliability was measured using simple percentage agreement and the Cohen's kappa(κ) coefficient. To assess the clinical indicators closely related to each PI, we analysed average score of each indicator in each group. Results : Simple percentage agreement of PI between raters was 64.83% and Cohen's kappa(κ) coefficient was 0.526(95% CI: 0.451-0.600). Inter-rater reliability level was fair to good. We analysed the clinical indicators in each group. Significant indicators for Fire-Heat Pattern(FHP) were reddened complexion and strong pulse power, and meaningful indicators for FHP were halitosis and thick tongue fur. Significant indicator for Dampness-Phlegm Pattern(DPP) was overweight and there was no meaningful indicator. Significant indicator for Yin-Deficiency Pattern(YDP) was dry tongue fur and meaningful indicator for YDP was thirst. There was no significant indicator for Qi-Deficiency Pattern(QDP) and pale complexion and faint low voice were meaningful indicators for QDP. Conclusions : This study reveals the significant and meaningful clinical indicators related to each Pattern-Identification in acute cerebral infarction patients. It will contribute to standardization of Korean Medical Diagnosis and Treatment in acute cerebral infarction patients.

• Journal of Physiology & Pathology in Korean Medicine
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• v.26 no.3
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• pp.367-375
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• 2012

The goal of current study is to make a standard pattern identification for post stroke depression using a delphi method. Finally, ten experts of oriental medicine, especially of stroke or depression, participated in Dephi examination. At the first meeting, experts conducted free discussion and determined to use the previous published questionnaires of Deficiency-Excess identification and Cold-Heat identification. From the second round, experts participated in evaluating and correcting the questionnaire by email. New seven questions were added to the questionnaire of Deficiency-Excess identification through the second round. Finally, the standard pattern identification of Cold-Heat or Deficiency-Excess is composed 20 questions and 11 questions, respectively. These pattern identifications for post stroke depression will contribute to research and treatment of oriental medicine.

• The Journal of Korean Medicine
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• v.25 no.1
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• pp.111-116
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• 2004

Objective : To assess the clinical efficacy of Yangkyuksanwha-tang on acute stroke Methods : We prescribed Yangkyuksanwha-tang to 83 acute stroke patients without thrombolytic treatment. Results : The rate of progressive stroke type was 1.2%, it was remarkably lower than previous reports. 3.6% felt an itching sensation, 3.6% complained headache, dizziness and powerless, 2.4% complained indigestion and diarrhea, 1.2% appeared hematuria and G-I bleeding. Yangkyuksanwha-tang decreased Stroke-Pattern Identification and National Institute of Health Stroke Scale(NIHSS), and increased Modified Barthel Index(MBI). So we could suggest that this medicine have desirable effect to reduce the severity of stroke and improve functional recovery. As to the laboratory findings, all results were within the normal value, which showed no hepatic or renal toxicity. Conclusion : We could suggest that Yangkyuksanwha-tang is a useful medicine which has clinical efficacy for acute stroke, but further investigation for an administration of more than 2 weeks is necessary.

• The Journal of Korean Medicine
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• v.23 no.4
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• pp.9-14
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• 2002

To assess the clinical efficacy of Chungpyesagan-tang on acute stroke, we prescribed this medicine to 88 acute stroke patients without thrombolytic treatment. The rate of progressive stroke type was 2.3%, remarkably lower than in previous reports. 1.1 % felt an itching sensation, and 17.0% complaxined of loose stool and diarrhea. Chungpyesagan-tang decreased Stroke-Pattern Identification and National Institute of Health Stroke Scale (NIHSS), and increased Modified Barthel Index (MBI). Thus, we could suggest that this medicine has a desirable effect to reduce the severity of stroke and improve functional recovery. As to the laboratory findings, ALT had anupward tendency and increased over normal value in 16 cases (18.2%). However, the mean serum level 2 weeks later was within the normal value and the other hepatic enzymes did not increase.

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

• Journal of Physiology & Pathology in Korean Medicine
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• v.25 no.6
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• pp.1113-1118
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• 2011

In this paper, when a physician make a diagnosis of the pattern identification (PI) in Korean stroke patients, the development methods of the PI classification function is considered by diagnostic questionnaire of the PI for stroke patients. Clinical data collected from 1,502 stroke patients who was identically diagnosed for the PI subtypes diagnosed by two physicians with more than 3 years experiences in 13 oriental medical hospitals. In order to develop the classification function into PI using Korean Stroke Syndrome Differentiation Standard was consist of the 44 items (Fire heat(19), Qi deficiency(11), Yin deficiency(7), Dampness-phlegm(7)). Using the 44 items, we took diagnostic and prediction accuracy rate through of discriminant model. The overall diagnostic and prediction accuracy rate of the PI subtypes for discriminant model was 74.37%, 70.88% respectively.

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