欢迎来到《四川大学学报(医学版)》

不同胰岛素抵抗评估指标与多囊卵巢综合征患者体外受精-胚胎移植结局的相关性研究

A Study on the Association Between Various Insulin Resistance Assessment Indices and IVF-ET Outcomes in Patients With Polycystic Ovary Syndrome

  • 摘要:
    目的 探讨多种胰岛素抵抗(insulin resistance, IR)评估指标与多囊卵巢综合征(polycystic ovary syndrome, PCOS)患者体外受精-胚胎移植(in vitro fertilization and embryo transfer, IVF-ET)过程中胚胎质量及妊娠结局的相关性。
    方法 采用回顾性队列设计,纳入2019年1月–2022年7月期间首次接受体外受精/卵胞质内单精子注射(in vitro fertilization/intracytoplasmic sperm injection, IVF/ICSI)治疗的PCOS患者。选取基于空腹状态计算的IR评估指标(HOMA-IR、QUICKI、李光伟指数、Bennett ISI)(以上统称静态IR指标)以及基于口服葡萄糖耐量试验(oral glucose tolerance test, OGTT)计算的IR评估指标(曲线下面积比、Matsuda指数、Gutt指数)(以上统称动态IR指标),依据中位数分为IR组(即高水平)和非IR组(即低水平),比较各种IR评估指标水平高低在胚胎质量和妊娠结局的差异。主要结局指标为D3优质胚胎率(简称优胚率)、新鲜周期临床妊娠率、累积妊娠率和累积活产率,其余为次要结局指标。采用多因素二元logistic回归模型校正因素,多重比较校正控制假阳性,分析不同IR评估指标高低水平与胚胎质量及妊娠结局的相关性。
    结果 共纳入571例PCOS患者,均包含空腹状态的血糖和胰岛素数据,其中499例具有完整的OGTT数据。主要结局指标:静态IR指标高低水平与主要结局指标均未呈现统计学关联;动态IR指标中的Gutt指数高低水平与优胚率有关,调整后比值比(odds ratio, OR)为0.88〔95%置信区间(confidence interval, CI):0.79~0.99,P=0.035〕;Matsuda指数高低水平与累积妊娠率有关,调整后OR为0.61(95%CI:0.39~0.97,P=0.036)。次要结局指标:静态IR指标和动态IR指标未观察到经多重比较校正后仍具有统计学意义的关联。
    结论 基于OGTT的Matsuda指数和Gutt指数较基于空腹的静态指标更敏感地反映了PCOS患者辅助生殖结局的差异,具有重要的临床应用价值。

     

    Abstract:
    Objective To explore the correlations between various insulin resistance (IR) assessment indicators and embryo quality and pregnancy outcomes during in vitro fertilization and embryo transfer (IVF-ET) in patients with polycystic ovary syndrome (PCOS).
    Methods A retrospective cohort design was used, including PCOS patients who received in vitro fertilization/intracytoplasmic sperm injection (IVF/ICSI) treatment for the first time from January 2019 to July 2022. Assessment indicators of insulin resistance (IR) based on fasting status (HOMA-IR, QUICKI, Li Guangwei Index, Bennett ISI), collectively referred to as static IR indicators, and assessment indicators based on the oral glucose tolerance test (OGTT) (area under the curve ratio, Matsuda Index, Gutt Index), collectively referred to as dynamic IR indicators, were selected. Patients were divided into the IR group (high level) and the non-IR group (low level) according to the median. Differences in the levels of various IR assessment indicators, embryo quality, and pregnancy outcomes were compared. The primary outcome indicators were the D3 high-quality embryo rate (high embryo rate), fresh cycle clinical pregnancy rate, cumulative pregnancy rate, and cumulative live birth rate; other outcomes were considered secondary indicators. A multivariate binary logistic regression model was used to adjust for confounding factors, and multiple comparison correction was applied to control false positives when analyzing the correlation between different levels of IR assessment indicators and embryo quality and pregnancy outcomes.
    Results A total of 571 PCOS patients were included, all of whom had fasting blood glucose and insulin data. Among these, 499 cases had complete OGTT data. Main outcome indicators: There was no statistical correlation between the levels of static IR indicators and the main outcome indicators. The levels of dynamic IR indicators (Gutt index) were associated with the pregnancy rate of good embryos, with an adjusted odds ratio (OR) of 0.88 (95% CI: 0.79-0.99, P = 0.035). The levels of the Matsuda index were associated with the cumulative pregnancy rate, with an adjusted OR of 0.61 (95% CI: 0.39-0.97, P = 0.036). Secondary outcome indicators: No statistically significant correlations were observed between the static IR indicators and dynamic IR indicators after multiple comparison correction.
    Conclusion The Matsuda index and Gutt index based on OGTT are more sensitive than static fasting indicators in reflecting differences in reproductive outcomes among PCOS patients, and thus have significant clinical value.

     

/

返回文章
返回