女大学生多囊卵巢综合征临床特点与诊断

Clinical characteristics and diagnosis of polycystic ovary syndrome in female students of a university

目的分析女大学生(18~25岁)多囊卵巢综合征(PCOS)的临床特点与诊断方法。方法选取在西北农林科技大学医院就诊而被诊断为PCOS的18~25岁患者30例为观察组,因其他症状就诊的27例为对照组。收集病史、临床测量指标、体格检查和实验室生化检查结果,进行统计学分析。结果观察组和对照组年龄与体质指数差异无统计学意义,而2组腰臀比差异有统计学意义;观察组LH/FSH的平均值和异常比例均远高于对照组;观察组很大比例的PCOS患者没有表现出明显的高雄激素血症症状。结论 18~25岁女大学生的PCOS病程整体处于早期,出现高雄激素临床症状的比例较小,卵巢多囊样改变程度不高,腹部超声检查卵泡数目诊断PCOS的标准对该群体可适当放宽;18~25岁女大学生PCOS患者在有临床表现前,首先会出现激素水平异常,LH/FSH值和T值在该群体的PCOS诊断中具有重要参考意义;可利用大学生常规体检进行大数据筛查,判断PCOS的高风险个体,普及PCOS的知识,并建议高危个体及早预防和治疗。

Objective To investigate the clinical characteristics and diagnostic criteria of polycystic ovary syndrome（PCOS） in university female students（18-25 years of age）. Methods A total of 30 PCOS female students aged 18-25 yeaswere recruited as an experimental group in the Hospital of Northwest Agriculture Forestry University, and 27 healthy femalestudents were recruited as controls. The data, such as medical history, clinical measurement indicators, physical examinationresults, and biochemical test results in laboratory were collected and statistically analyzed.Results There were no statistical-ly significant differences between the experimental group and control group in the age and body mass index（BMI）, but therewas a statistically significant difference in waist-to-hip ratio（WHR）. The average value and abnormal ratio of luteinizing hor-mone/follicle-stimulating hormone（LH/FSH） in the experimental group were significantly higher than those in the controlgroup. Most PCOS patients in the experimental group did not show hyperandrogemia. Conclusion The course of PCOS ofuniversity female students aged 18-25 years is at the early stage, in which only a few of them show clinical hyperandrogemia.The polycystic development of ovary is lower, thus in PCOS diagnosis of this group, the number of subcapsular cysts may be re-duced. Before the clinical performance of PCOS, the hormone firstly shows abnormal values, especially LH/FSH and T values,that were important in the diagnosis of PCOS. The big data of regular health checks of university female students can be usedto screen the individuals with the high risk of PCOS, and we suggest to give them the prevention and treatment interventions assoon as possible.