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目的:探讨多囊卵巢综合征患者内分泌和代谢的临床特点。方法:选取2013年11月至2015年11月大埔县妇幼保健院计划生育服务中心收治的多囊卵巢综合征患者95例作为观察组,根据体质量指数分为非肥胖组52例、肥胖组43例;再选取同期进行正常体检的女性95例作为对照组,对比3组血脂水平和激素指标情况。结果:观察组总胆固醇(TC)、三酰甘油(TG)、水平高于对照组,差异具有统计学意义(P<0.05);观察组高密度脂蛋白-胆固醇(HDL-C)、低密度脂蛋白-胆固醇(LDL-C)水平与对照组相比,差异无统计学意义(P>0.05);肥胖组TC和TG水平与非肥胖组相比,差异具有统计学意义(P<0.05);观察组血清黄体生成素(LH)、雄激素(T)、胰岛素(INS)和泌乳素(PRL)等激素水平高于对照组,差异具有统计学意义(P<0.05);肥胖组激素水平与非肥胖组相比,差异具有统计学意义(P<0.05)。结论:多囊卵巢综合征患者会出现较高血脂和激素水平,临床表现为明显内分泌和代谢紊乱,且肥胖患者表现更为突出,临床应高度重视并采取相应治疗措施,以提高患者生存质量。
Objective: To investigate the clinical features of endocrine and metabolism in patients with polycystic ovary syndrome. Methods: From November 2013 to November 2015, 95 cases of polycystic ovary syndrome patients admitted to Family Planning Service Center of MCH in Dapu County were selected as the observation group. According to body mass index, 52 cases were divided into non-obese group and obese group 43 cases; then select the same period for the normal physical examination of 95 women as a control group, comparing the three groups of blood lipid levels and hormone status. Results: The levels of total cholesterol (TC) and triglyceride (TG) in the observation group were significantly higher than those in the control group (P <0.05). The levels of HDL-C, Compared with the control group, there was no significant difference in the level of serum lipoprotein-cholesterol (LDL-C) between the two groups (P> 0.05). The levels of TC and TG in the obese group were significantly different from those in the non-obese group (P <0.05) ; The levels of serum LH, T, INS and PRL in the observation group were higher than those in the control group (P <0.05). The levels of hormone in the obesity group Compared with non-obese group, the difference was statistically significant (P <0.05). Conclusion: Patients with polycystic ovary syndrome will have higher blood lipid and hormone levels. The clinical manifestations are obvious endocrine and metabolic disorders, and the performance of obese patients is more prominent. Clinical should attach great importance to and take appropriate treatment measures to improve the quality of life of patients.