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http://dx.doi.org/10.15204/jkobgy.2018.31.3.033

A Correlation Study of Pattern Identification Instrument and Biomarkers for Polycystic Ovary Syndrome  

Park, Eun-Ji (Dept. of Obstetrics & Gynecology, College of Korean Medicine, DaeJeon University)
Baek, Seon-Eun (Dept. of Obstetrics & Gynecology, Dunsan Korean Medicine Hospital of Daejeon University)
Kang, Byoung-Kab (Clinical Medicine Division, Korea Institute of Oriental Medicine)
Yoo, Jeong-Eun (Dept. of Obstetrics & Gynecology, College of Korean Medicine, DaeJeon University)
Jung, In-Chul (Dept. of Oriental Neuropsychiatry, College of Korean Medicine, DaeJeon University)
Publication Information
The Journal of Korean Obstetrics and Gynecology / v.31, no.3, 2018 , pp. 33-49 More about this Journal
Abstract
Objectives: The purpose of this study was to investigate the correlation between Pattern identification instrument and biomarkers in polycystic ovary syndrome patients. Methods: Pattern identification instrument questionnaire, Sasang constitutional test, body composition test, pulse analyzing test, laboratory test were performed and the results were analyzed. Correlation analysis was performed between pattern identification and laboratory test results. Results: Testosterone, SHBG, $17{\alpha}$-OH-progesterone, AMH were highest in the Kidney-Yang Deficiency (腎陽虛) group. LH, FSH, LH/FSH ratio were the highest in the Endogenous Heat due to Yin Deficiency (陰虛內熱) group. DHEA-S was the highest in the Dampness-Heat in Liver Meridian (肝經濕熱) group. E2, Prolactin, Cholesterol, Triglyceride, HDL-Cholesterol, LDL-Cholesterol, Glucose (FBS), Insulin, HOMA-IR ratio, HbA1c were the highest in the Phlegm-Dampness (痰濕) group. Conclusions: In this study, we obtained basic data analyzing the correlation between pattern identification instrument and biomarkers in polycystic ovary syndrome patients. If further studies are performed, we expect to be able to obtain clues to study the mechanism of polycystic ovary syndrome.
Keywords
Polycystic Ovary Syndrome (PCOS); Pattern Identification Instrument; Biomarkers; Korean Medicine;
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Times Cited By KSCI : 3  (Citation Analysis)
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