• Title/Summary/Keyword: Dampness-Phlegm pattern(濕痰證

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Clinical Study on Relationship between Pattern Identifications for Stroke and the Second Derivative of Photoplethysmogram Waveform from Stroke Preventive Examination (중풍 예방 검진에서 중풍 표준화 변증과 가속도맥파의 상관성 연구)

  • Jung, So Youn;Hur, Hee Soo;Jeong, Hae Ryong;Kim, Kyoung Min;Kim, Young Kyun
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.29 no.3
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    • pp.230-239
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    • 2015
  • This study was performed to find a relationship between each pattern identification and vascular status using the second derivative of photoplethysmogram waveform(SDPTG) indices. We analyzed 200 subjects who participated in stroke preventive examination. We classified the subjects into four groups of pattern identifications; Fire-Heat pattern(火熱證; FH), Yin Deficiency pattern(陰虛證; YD), Qi Deficiency pattern(氣虛證; QD) and Dampness-Phlegm pattern(濕痰證; DP) that based on Korean Standard Pattern Identifications for Stroke-Ⅲ. We studied a relationship between each pattern identification and the SDPTG. The total number of the subject group was 200, whereas the groups were divided into four groups; Fire-Heat pattern group(n=49), Yin Deficiency pattern(n=57), Qi Deficiency pattern(n=45), and Dampness-Phlegm pattern(n=49). b/a ratio was related with age and systolic blood pressure, c/a ratio was associated with age, systolic blood pressure, fasting blood sugar and Total cholesterol, d/a ratio was affected with age, diastolic blood pressure, and hypertension, e/a ratio was related with age and sex and SDPTG AI was associated with age. c/a ratio and d/a ratio were significantly higher in the Fire-Heat group than in the Qi Deficiency group. SDPTG AI was significantly higher in the Qi Deficiency group than in the Fire-Heat group. The Qi Deficiency group was significantly older than the Fire-Heat group and the number of hypertension patients was significantly more in the Fire-Heat group than in the Qi Deficiency group. Through this study, we found out some significant relationships between each pattern identification group and the SDPTG indices.