控制性卵巢刺激周期中并发症的防治

王轶子, 徐艳文

中国实用妇科与产科杂志 ›› 2025, Vol. 41 ›› Issue (12) : 1191-1195.

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中国实用妇科与产科杂志 ›› 2025, Vol. 41 ›› Issue (12) : 1191-1195. DOI: 10.19538/j.fk2025120110
专题笔谈

控制性卵巢刺激周期中并发症的防治

作者信息 +

Prevention and treatment of complications during controlled ovarian stimulation

Author information +
文章历史 +

摘要

控制性卵巢刺激周期中多卵泡发育增加了卵巢过度刺激综合征、血栓形成等并发症的风险。文章在回顾最新指南和共识基础上,更新相关并发症的预防措施和治疗方案,以期为临床策略的优化提供参考。

Abstract

Development of multiple follicles during controlled ovarian stimulation increases the risk of complications such as ovarian hyperstimulation syndrome and thrombosis.This article reviewed the latest guidelines and consensuses and updated the prevention measures and treatment regimens of these associated complications in order to provide reference for optimizing clinical strategies.

关键词

控制性卵巢刺激 / 卵巢过度刺激综合征 / 血栓形成 / 高危因素 / 防治

Key words

controlled ovarian stimulation / ovarian hyperstimulation syndrome / thrombosis / risk factors / prevention and treatment

引用本文

导出引用
王轶子, 徐艳文. 控制性卵巢刺激周期中并发症的防治[J]. 中国实用妇科与产科杂志. 2025, 41(12): 1191-1195 https://doi.org/10.19538/j.fk2025120110
WANG Yi-zi, XU Yan-wen. Prevention and treatment of complications during controlled ovarian stimulation[J]. Chinese Journal of Practical Gynecology and Obstetrics. 2025, 41(12): 1191-1195 https://doi.org/10.19538/j.fk2025120110
中图分类号: R711.6   

参考文献

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The ovarian response to gonadotropin stimulation varies widely among women, and could impact the probability of live birth as well as treatment risks. Many studies have evaluated the impact of different gonadotropin starting doses, mainly based on predictive variables like ovarian reserve tests (ORT) including anti-Müllerian hormone (AMH), antral follicle count (AFC), and basal follicle-stimulating hormone (bFSH). A Cochrane systematic review revealed that individualizing the gonadotropin starting dose does not affect efficacy in terms of ongoing pregnancy/live birth rates, but may reduce treatment risks such as the development of ovarian hyperstimulation syndrome (OHSS). An individual patient data meta-analysis (IPD-MA) offers a unique opportunity to develop and validate a universal prediction model to help choose the optimal gonadotropin starting dose to minimize treatment risks without affecting efficacy.The objective of this IPD-MA is to develop and validate a gonadotropin dose-selection model to guide the choice of a gonadotropin starting dose in IVF/ICSI, with the purpose of minimizing treatment risks without compromising live birth rates.Electronic databases including MEDLINE, EMBASE, and CRSO were searched to identify eligible studies. The last search was performed on 13 July 2022. Randomized controlled trials (RCTs) were included if they compared different doses of gonadotropins in women undergoing IVF/ICSI, presented at least one type of ORT, and reported on live birth or ongoing pregnancy. Authors of eligible studies were contacted to share their individual participant data (IPD). IPD and information within publications were used to determine the risk of bias. Generalized linear mixed multilevel models were applied for predictor selection and model development.A total of 14 RCTs with data of 3455 participants were included. After extensive modeling, women aged 39 years and over were excluded, which resulted in the definitive inclusion of 2907 women. The optimal prediction model for live birth included six predictors: age, gonadotropin starting dose, body mass index, AFC, IVF/ICSI, and AMH. This model had an area under the curve (AUC) of 0.557 (95% confidence interval (CI) from 0.536 to 0.577). The clinically feasible live birth model included age, starting dose, and AMH and had an AUC of 0.554 (95% CI from 0.530 to 0.578). Two models were selected as the optimal model for combined treatment risk, as their performance was equal. One included age, starting dose, AMH, and bFSH; the other also included gonadotropin-releasing hormone (GnRH) analog. The AUCs for both models were 0.769 (95% CI from 0.729 to 0.809). The clinically feasible model for combined treatment risk included age, starting dose, AMH, and GnRH analog, and had an AUC of 0.748 (95% CI from 0.709 to 0.787).The aim of this study was to create a model including patient characteristics whereby gonadotropin starting dose was predictive of both live birth and treatment risks. The model performed poorly on predicting live birth by modifying the FSH starting dose. On the contrary, predicting treatment risks in terms of OHSS occurrence and management by modifying the gonadotropin starting dose was adequate. This dose-selection model, consisting of easily obtainable patient characteristics, aids in the choice of the optimal gonadotropin starting dose for each individual patient to lower treatment risks and potentially reduce treatment costs.© The Author(s) 2024. Published by Oxford University Press on behalf of European Society of Human Reproduction and Embryology.
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STUDY QUESTION: Are the LH levels at the start of ovarian stimulation predictive of suboptimal oocyte yield from GnRH agonist triggering in GnRH antagonist down-regulated cycles? SUMMARY ANSWER: LH levels at the start of ovarian stimulation are an independent predictor of suboptimal oocyte yield following a GnRH agonist trigger. WHAT IS KNOWN ALREADY: A GnRH agonist ovulation trigger may result in an inadequate oocyte yield in a small subset of patients. This failure can range from empty follicle syndrome to the retrieval of much fewer oocytes than expected. Suboptimal response to a GnRH agonist trigger has been defined as the presence of circulating LH levels < 15 IU/I 12 h after triggering. It has been shown that patients with immeasurable LH levels on trigger day have an up to 25% risk of suboptimal response. STUDY DESIGN, SIZE, DURATION: In this retrospective cohort study, all patients (n = 3334) who received GnRH agonist triggering (using Triptoreline 0.2 mg) for final oocyte maturation undergoing a GnRH antagonist cycle in our centre from 2011 to 2017 were included. The primary outcome of the study was oocyte yield, defined as the ratio between the total number of collected oocytes and the number of follicles with a mean diameter >10 mm prior to GnRH agonist trigger. PARTICIPANTS/MATERIALS, SETTING, METHODS: The endocrine profile of all patients was studied at initiation as well as at the end of ovarian stimulation. In order to evaluate whether LH levels, not only at the end but also at the start, of ovarian stimulation predicted oocyte yield, we performed multivariable regression analysis adjusting for the following confounding factors: female age, body mass index, oral contraceptives before treatment, basal and trigger day estradiol levels, starting FSH levels, use of highly purified human menopausal gonadotrophin and total gonadotropin dose. Suboptimal response to GnRH agonist trigger was defined as < 10th percentile of oocyte yield. MAIN RESULTS AND THE ROLE OF CHANCE: The average age was 31.9 years, and the mean oocyte yield was 89%. The suboptimal response to GnRH agonist trigger cut-off (< 10th percentile) was 45%, which was exhibited by 340 patients. Following confounder adjustment, multivariable regression analysis showed that LH levels at the initiation of ovarian stimulation remained an independent predictor of suboptimal response even in the multivariable model (adjusted OR 0.920, 95% CI 0.871-0.971). Patients with immeasurable LH levels at the start of stimulation (<0.1 1U/1) had a 45.2% risk of suboptimal response, while the risk decreased with increasing basal LH levels; baseline circulating LH <0.5 IU/L, <2 lU/L and <5 IU/L were associated with a 39.1%, 25.2% and 13.6% risk, respectively. LIMITATIONS, REASONS FOR CAUTION: The main limitation of the study is its retrospective design. WIDER IMPLICATIONS OF THE FINDINGS: This is the largest study of GnRH agonist trigger cycles only, since most of the previous research on the predictive value of basal LH levels was performed in dual trigger cycles. LH values should be measured prior to start of ovarian stimulation. In cases where they are immeasurable, suboptimal response to GnRH agonist trigger can be anticipated, and an individualized approach is warranted.
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国家重点研发计划(2023YFC2705503)

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