国际医药卫生导报 ›› 2025, Vol. 31 ›› Issue (14): 2324-2328.DOI: 10.3760/cma.j.cn441417-20250208-14008

• 论著 • 上一篇    下一篇

多囊卵巢综合征患者维生素D与空腹血糖的水平及差异

许艳萍 孙越 王瑾 田烨   

  1. 天津医科大学总医院妇产科 天津市女性生殖健康与优生重点实验室,天津 300052

  • 收稿日期:2025-02-08 出版日期:2025-07-01 发布日期:2025-08-05
  • 通讯作者: 田烨,Email:tianyesdu@126.com
  • 基金资助:

    国家自然科学基金(82171625);天津市医学重点学科(专科)建设(TJYXZDXK-031A)

Levels and differences of vitamin D and fasting blood glucose in patients with polycystic ovary syndrome 

Xu Yanping, Sun Yue, Wang Jin, Tian Ye   

  1. Department of Obstetrics and Gynecology, Tianjin Medical University General Hospital, Tianjin Key Laboratory of Female Reproductive Health and Eugenics, Tianjin 300052, China

  • Received:2025-02-08 Online:2025-07-01 Published:2025-08-05
  • Contact: Tian Ye, Email: tianyesdu@126.com
  • Supported by:

    National Natural Science Foundation (82171625); Construction Project of Key Medical Disciplines (Specialties) in Tianjin (TJYXZDXK-031A)

摘要:

目的 探讨血清维生素D与空腹血糖在多囊卵巢综合征(PCOS)患者中的表达差异。方法 采用回顾性研究,选取2022年1月至2024年12月在天津医科大学总医院就诊的20~40岁育龄期PCOS患者88例作为PCOS组,同时纳入87例20~40岁非PCOS女性作为对照组。比较PCOS组和对照组基线数据、维生素D与空腹血糖的表达差异。采用独立样本t检验进行统计比较,受试者操作特征曲线(ROC)分析维生素D和空腹血糖对PCOS高风险的预测效能。Pearson检验分别分析PCOS组、对照组维生素D与空腹血糖的相关性。结果 PCOS组患者体重[(65.330±12.031)kg]、BMI[(24.708±4.256)kg/m2]、空腹血糖水平[(4.953±0.495)mmol/L]均高于对照组[(59.989±8.438)kg、(22.737±3.169)kg/m2、(4.790±0.377)mmol/L],而血清维生素D水平[(42.804±23.084)nmol/L]低于对照组[(53.083±18.366)nmol/L],差异均有统计学意义(均P<0.05)。受试者操作特征曲线(ROC)显示,单独应用指标进行预测时,体重的灵敏度为0.545、特异度为0.701,BMI分别为0.489、0.759,空腹血糖分别为0.545、0.724,维生素D分别为0.511、0.874;4项指标联合预测的灵敏度为0.545,特异度为0.828。PCOS组、对照组中,维生素D与空腹血糖的相关性均不强(r=-0.093、-0.017,均P>0.05)。结论 体重、BMI、空腹血糖水平、血清维生素D水平联合预测PCOS高风险的灵敏度和特异度均优单一指标。曲线模型性能一般,可适当用于辅助临床中PCOS的高风险预测。

关键词: 多囊卵巢综合征, 维生素D, 空腹血糖

Abstract:

Objective To explore the differences in the expression levels of serum vitamin D and fasting blood glucose in patients with polycystic ovary syndrome (PCOS). Methods A retrospective study was conducted. Eighty-eight 20-40 years old patients with PCOS of childbearing age treated at Tianjin Medical University General Hospital from January 2022 to December 2024 were enrolled as a PCOS group. At the same time, 87 non-PCOS women who were 20-40 years old were included as a control group. The baseline data and expression levels of vitamin D and fasting blood glucose were compared between the PCOS group and the control group. The independent sample t test was used for the statistical comparisons. The receiver operating characteristic curve (ROC) was used to analyze the efficacy of vitamin D and fasting blood glucose for PCOS. The correlations between vitamin D and fasting blood glucose in the PCOS group and the control group were analyzed by Pearson test. Results The body weight, body mass index (BMI), and serum fasting blood glucose level in the PCOS group were higher than those in the control group [(65.330±12.031) kg vs. (59.989±8.438) kg, (24.708±4.256) kg/m2 vs. (22.737±3.169) kg/m2, and (4.953±0.495) mmol/L vs. (4.790±0.377) mmol/L], while the serum vitamin D level was lower [(42.804±23.084) nmol/L vs. (53.083±18.366) nmol/L], with statistical differences (all P<0.05). The results of the ROC analysis showed that when the indicators were applied individually for prediction, the sensitivity and specificity of body weight were 0.545 and 0.701; the sensitivity and specificity of BMI were 0.489 and 0.759; the sensitivity and specificity of fasting blood glucose were 0.545 and 0.724; the sensitivity and specificity of vitamin D were 0.511 and 0.874. When the four indicators were combined for prediction, the sensitivity and specificity were 0.545 and 0.828. However, regardless of whether in the PCOS group or the control group, the correlation between vitamin D and fasting blood glucose was not strong (r=-0.093, -0.017, both P>0.05). Conclusions The sensitivity and specificity of the combined prediction of high risk of PCOS using the four indicators are superior to any single indicator. However, the performance of the curve model is average. It can be appropriately used to assist in the prediction of high risk of PCOS in clinical practice.

Key words: Polycystic ovary syndrome,  , Vitamin D,  , Fasting blood glucose