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多囊卵巢综合征患者体重指数、内分泌、代谢指标的相关性分析.

Authors :
郭庆军
胡艳艳
许忆峰
王超群
谢俊豪
陈瑾
金百翰
俞超芹
黄勤
Source :
Progress in Modern Biomedicine. Aug2018, Vol. 18 Issue 15, p2882-2885. 4p.
Publication Year :
2018

Abstract

Objective: To investigate the correlation between body mass index, endocrine and metabolic markers in patients with polycystic ovary syndrome. Methods: 53 patients who suffered polycystic ovary syndrome from October 2016 to July 2017 were grouped according to BMI, HOMA-IR and testosterone levels. Body weight index(BMI), blood biochemistry, insulin, C peptide and sex hormone and endocrine and metabolic indicators were tested and analyzed. Results: Grouped according to the level of BMI, there were statistical significance in fasting insulin, 60 minutes insulin, 120 minutes of insulin, fasting C peptide, 60 minutes C peptide, 120 minutes C peptide,total cholesterol, triglyceride, low density lipoprotein, high density lipoprotein(P<0.05); Grouped according to the level of the HOMA-IR index, there were statistical significance in fasting blood glucose, 60 minutes blood glucose, 120 minutes blood glucose, fasting insulin,60 minutes insulin, 120 minutes insulin, fasting C peptide, 60 minutes C peptide, 120 minutes C peptide, total cholesterol, triglyceride,low density lipoprotein, high density lipoprotein, LH/FSH, testosterone and estradiol(P<0.05); grouped according to testosterone, there were statistical significance in BMI, fasting insulin, 60 minutes insulin, 120 minutes of insulin, HOMA index, luteinizing hormone, LH/FSH, testosterone and estradiol(P<0.05). Conclusion: Polycystic ovary syndrome(PCOS) is complicated and changeable. It should be treated differently according to the body mass index, endocrine and metabolic characteristics, so as to improve the cure level and quality of life. [ABSTRACT FROM AUTHOR]

Details

Language :
Chinese
ISSN :
16736273
Volume :
18
Issue :
15
Database :
Academic Search Index
Journal :
Progress in Modern Biomedicine
Publication Type :
Academic Journal
Accession number :
132462067
Full Text :
https://doi.org/10.13241/j.cnki.pmb.2018.15.016