Si Manfei, Xu Wanxue, Qi Xinyu, Jiang Huahua, Zhao Yue, Li Rong, Long Xiaoyu, Qiao Jie
Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China.
National Clinical Research Center for Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China.
J Clin Med. 2023 Aug 2;12(15):5073. doi: 10.3390/jcm12155073.
Polycystic ovary syndrome (PCOS) is a well-recognized, multi-system metabolic disorder affecting fertility. Although various classification methods have been proposed to assess the phenotypic heterogeneity of PCOS, there is currently no reliable phenotype for predicting clinical IVF outcomes. This retrospective study, as a comprehensive phenotypic assessment across all PCOS classifications, aimed to identify dependable phenotypes that can serve as predictors for IVF and pregnancy outcomes. The study included 1313 PCOS patients who received their initial IVF treatment between January 2019 and December 2021. The phenotypes reflect the diverse metabolic and hormonal characteristics in this study. Phenotype A, within the Rotterdam criteria classification, exhibited the highest anti-Müllerian hormone levels (AMH), while phenotype D displayed the lowest Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) values. Both the hyperandrogenism (HA) phenotype within HA-based classification and the overweight phenotype within the body-mass-index-based classification showed increased HOMA-IR and metabolic syndrome (MetS). The MetS phenotype had higher free androgen index and a lower AMH. Notably, the MetS-based classification system demonstrated an independent association of MetS with cumulative live birth, preterm birth, and gestational diabetes mellitus as a contributing risk factor for PCOS patients undergoing IVF ( < 0.05). These findings carry noteworthy implications for advancing clinical management strategies for PCOS.
多囊卵巢综合征(PCOS)是一种公认的、影响生育能力的多系统代谢紊乱疾病。尽管已经提出了各种分类方法来评估PCOS的表型异质性,但目前尚无可靠的表型来预测临床体外受精(IVF)结果。这项回顾性研究作为对所有PCOS分类的全面表型评估,旨在确定可作为IVF和妊娠结局预测指标的可靠表型。该研究纳入了2019年1月至2021年12月期间接受首次IVF治疗的1313例PCOS患者。这些表型反映了本研究中不同的代谢和激素特征。在鹿特丹标准分类中,表型A的抗苗勒管激素(AMH)水平最高,而表型D的胰岛素抵抗稳态模型评估(HOMA-IR)值最低。基于高雄激素血症(HA)的分类中的HA表型和基于体重指数的分类中的超重表型均显示HOMA-IR和代谢综合征(MetS)增加。MetS表型的游离雄激素指数较高,AMH较低。值得注意的是,基于MetS的分类系统显示,MetS与累积活产、早产和妊娠期糖尿病存在独立关联,是接受IVF的PCOS患者的一个促成风险因素(<0.05)。这些发现对推进PCOS的临床管理策略具有重要意义。