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KMID : 1146520120130010033
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Journal of the Society of Stroke on Korean Medicine
2012 Volume.13 No. 1 p.33 ~ p.42
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Analysis of Clinical Indicators related to Pattern-Identification in Acute Cerebral Infarction Patient
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Lee Eun-Chan
Hyun Sang-Ho
Kawk Seung-Hyuk
Woo Su-Kyung
Park Joo-Young
Jung Woo-Sang
Moon Sang-Kwan
Cho Ki-Ho
Park Sung-Wook
Ko Chang-Nam
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Abstract
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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.
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KEYWORD
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Stroke, Cerebral infarction, Pattern-Identification, Clinical indicator
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