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

Correlative Analysis of Body Mass Index, Endocrine and Metabolic Indexes in 53 Patients with Polycystic Ovary Syndrome

目的:探讨多囊卵巢综合征患者的体重指数、内分泌及代谢指标的相互关系。方法:选取2016年10月至2017年7月的收治多囊卵巢综合征患者53例作为研究对象,分别根据BMI、HOMA-IR和睾酮水平进行分组,检测和比较体重指数(BMI)、血生化、胰岛素、C肽及性激素等内分泌和代谢指标。结果:根据BMI水平进行分组,空腹胰岛素、60分钟胰岛素、120分钟胰岛素、空腹C肽、60分钟C肽、120分钟C肽、总胆固醇、甘油三酯、低密度脂蛋白、高密度脂蛋白差异有统计学意义(P<0.05);根据HOMA-IR指数进行分组,空腹血糖、60分钟血糖、120分钟血糖、空腹胰岛素、60分钟胰岛素、120分钟胰岛素、空腹C肽、60分钟C肽、120分钟C肽、总胆固醇、甘油三酯、低密度脂蛋白、高密度脂蛋白、黄体生成素、黄体生成素/卵泡刺激素、睾酮和雌二醇差异有统计学意义(P<0.05);根据睾酮水平进行分组,BMI、空腹胰岛素、60分钟胰岛素、120分钟胰岛素、HOMA指数、黄体生成素、黄体生成素/卵泡刺激素、睾酮、雌二醇差异有统计学意义(P<0.05)。结论:多囊卵巢综合征表现复杂多变,应根据不同的体质指数、内分泌和代谢特点进行对症对因治疗,以提高患者治愈水平和生存质量。

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.