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한국형 중풍 변증 표준시안의 습담 변증 지표에 대한 연구
조현경,김중길,강병갑,유병찬,백경민,이인,최선미,설인찬,Jo, Hyun-Kyung,Kim, Joong-Kil,Kang, Byeong-Kab,Yu, Byeong-Chan,Baek, Kyung-Min,Lee, In,Choi, Sun-Mi,Seol, In-Chan 대한한방내과학회 2006 大韓韓方內科學會誌 Vol.27 No.1
Objectives : This study was done to investigate clinical frequency and correlation among the indicators of dampness-phlegm pattern identification settled by tentative Korean Standard Differentiation of the Symptoms and Signs for Stroke. Methods : The subjects were 147 hospitalized patients with stroke, and a list of registry was made for each of them. Among the five types of pattern identification, fire-heat, dampness-phlegm, blood-stasis and deficiency of Qi and of Yin, those that have shown a high frequency in dampness-phlegm type were categorized as the dampness-phlegm pattern group. Frequency of dampness-phlegm indicators was compared with those from the non-dampness-phlegm pattern group. Correlations among dampness-phlegm indicators were also studied. Results : 1. Dampness-phlegm pattern group included 26 patients out of 147. 2. Among the indicators of dampness-phlegm pattern. those, in order of highest frequency, were 'tiredness or sluggishness', 'white Coated tongue' and 'sputum'. 3. In comparing dampness-phlegm pattern group with non-dampness-phlegml group, the indicators such as 'lightheadedness', 'nigrescence', 'sputum', 'dermatic dysaesthesia' showed significantly high frequency. 4. Among the indicators, 'sputum' and 'tiredness or sluggishness', 'sputum' and 'yellow coated tongue', and 'white coated tongue' and 'yellow coated tongue' showed significant correlation. 5. In investigation of the correlation of scale in symptoms, various results such as positive correlation and negative correlation were obtained. Conclusion : In this study, more sensitive indicators of dampness-phlegm pattern identification were found. Based on these results, it is suggested that a more practical Korean Standard Differentiation of the Symptoms and Signs of Stroke would be established through continuous clinical studies by giving weight on each specific type of pattern identification.