한의 중풍변증표준안-Ⅲ에 대한 보고
Report on the Korean Standard Pattern Identifications for Stroke-Ⅲ
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초록
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.
Abstract
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.
참고문헌 (5)
- 이정섭, "한의 중풍 변증 표준화 연구에서 어혈증에 관한 고찰", 대한한방내과학회지, 30(4), pp.813~820 (2009), 대한한방내과학회
- 전국한의과대학 병리학교실, "동의병리학", pp.138~152 (1998), 일중사
- YS Kim, "Causes, Pathologies, and Pattern Identifications of Stroke in Oriental Medicine", J. of Oriental. Chr. Dis, 1(1), pp.113~140 (1995)
- 김중길, "한의 중풍변증 표준안-Ⅰ에 대한 보고", 동의생리병리학회지, 20(1), pp.229~234 (2006), 대한동의병리학회
- 고호연, "한국형 중풍변증 표준안-Ⅱ에 대한 보고", 동의생리병리학회지, 20(6), pp.1789~1791 (2006), 대한동의병리학회
