Department of Obstetrics and Gynecology, Center for Reproductive Medicine, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, Guangdong-Hong Kong-Macao Greater Bay Area Higher Education Joint Laboratory of Maternal-Fetal Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Department of Ultrasound, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Hum Reprod. 2024 Oct 1;39(10):2320-2330. doi: 10.1093/humrep/deae197.
Can a simplified ovarian hyperstimulation syndrome (OHSS) risk assessment index be developed and validated with sufficient discrimination of moderate/severe OHSS from those without OHSS?
This easy-to-use OHSS risk assessment index shows good discriminative power and high calibration accuracy in internal and external validation cohorts.
An early alert and risk stratification is critical to prevent the occurrence of OHSS. We have previously developed a multi-stage smartphone app-based prediction model to evaluate the risk of OHSS, but app use might not be so convenient in many primary institutions. A simplified OHSS risk assessment index has been required.
STUDY DESIGN, SIZE, DURATION: This training and internal validation of an OHSS risk assessment index used retrospective cohort data from January 2016 to December 2020. External validation was performed with a prospective cohort database from January 2021 to May 2022. There were 15 066 cycles in the training cohort, 6502 cycles in the internal validation cohort, and 8097 cycles in the external validation cohort.
PARTICIPANTS/MATERIALS, SETTING, METHODS: This study was performed in the reproductive medicine center of a tertiary hospital. Infertile women who underwent ovarian stimulation were included. Data were extracted from the local database with detailed medical records. A multi-stage risk assessment index was constructed at multiple stages. The first stage was before the initiation of ovarian stimulation, the second was before the ovulation trigger, the third was after oocyte retrieval, and the last stage was on the embryo transfer day if fresh embryo transfer was scheduled.
We established a simplified multi-stage risk assessment index for moderate/severe OHSS, the performance of which was further evaluated with discrimination and calibration abilities in training and internal and external validation cohorts. The discrimination abilities of the OHSS risk assessment index were determined with C-statistics. C-statistics in training (Stages 1-4: 0.631, 0.692, 0.751, 0.788, respectively) and internal (Stages 1-4: 0.626, 0.642, 0.755, 0.771, respectively) and external validation (Stages 1-4: 0.668, 0.670, 0.754, 0.773, respectively) cohorts were all increased from Stage 1 to 3 with similar trends, and were comparable between Stages 3 and 4. Calibration plots showed high agreement between observed and predicted cases in all three cohorts. Incidences of OHSS based on diverse risk stratification (negligible risk, low risk, medium risk, and high risk) were 0%, 0.6%, 2.7%, and 8.3% in the training cohort, 0%, 0.6%, 3.3%, and 8.5% in the internal validation cohort, and 0.1%, 1.1%, 4.1%, and 7.2% in the external validation cohort.
LIMITATIONS, REASONS FOR CAUTION: The influence from clinical interventions including cryopreservation of all embryos cannot be eliminated and thus certain risk factors like estrogen level on trigger day might be assigned with a lower risk score. Another weakness of the study is that several preventive treatments, for instance oral aspirin and letrozole, were not recorded and evaluated in the model. Despite the robust reliability of OHSS assessment index, this tool cannot be used directly for clinical decision-making or as a diagnostic tool. Its value lies in its capacity to evaluate the prognosis of various interventions and to facilitate clinician-patient communication. The combination of this tool and further symptoms and examinations should be all taken into consideration for accurate and personalized management of OHSS.
The OHSS risk assessment index can be implemented to facilitate personalized counseling and management of OHSS.
STUDY FUNDING/COMPETING INTEREST(S): This study was supported by National Key R&D Program of China (2022YFC2702504), Medical Research Fund Guangdong Provincial (A2024003), and Xinjiang Support Rural Science and Technology (Special Correspondent) Program in Guangdong Province (KTPYJ 2023014). All authors had nothing to disclose.
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能否制定并验证一种简化的卵巢过度刺激综合征(OHSS)风险评估指数,以充分区分中重度/重度 OHSS 与无 OHSS?
这个易于使用的 OHSS 风险评估指数在内部和外部验证队列中具有良好的区分能力和高度的校准准确性。
早期预警和风险分层对于预防 OHSS 的发生至关重要。我们之前已经开发了一种基于多阶段智能手机应用程序的预测模型来评估 OHSS 的风险,但在许多基层机构中,应用程序的使用可能不太方便。需要一种简化的 OHSS 风险评估指数。
研究设计、规模、持续时间:本研究使用 2016 年 1 月至 2020 年 12 月的回顾性队列数据进行 OHSS 风险评估指数的培训和内部验证。2021 年 1 月至 2022 年 5 月的前瞻性队列数据库进行了外部验证。培训队列有 15066 个周期,内部验证队列有 6502 个周期,外部验证队列有 8097 个周期。
参与者/材料、设置、方法:本研究在一家三级医院的生殖医学中心进行。纳入接受卵巢刺激的不孕女性。从当地数据库中提取详细的病历数据。在多个阶段构建了一个多阶段风险评估指数。第一阶段是在卵巢刺激开始之前,第二阶段是在排卵触发之前,第三阶段是在取卵之后,最后阶段是如果计划进行新鲜胚胎移植,则在胚胎移植日。
我们建立了一种简化的中重度 OHSS 多阶段风险评估指数,并在培训和内部及外部验证队列中进一步评估了其区分能力和校准能力。风险评估指数的区分能力通过 C 统计量确定。训练(阶段 1-4:0.631、0.692、0.751、0.788)和内部(阶段 1-4:0.626、0.642、0.755、0.771)以及外部验证(阶段 1-4:0.668、0.670、0.754、0.773)队列的 C 统计量均从第 1 阶段到第 3 阶段逐渐增加,并且第 3 阶段和第 4 阶段之间相似。各队列中观察到的和预测到的病例之间的校准图显示出高度一致。在训练队列中,根据不同的风险分层(无风险、低风险、中风险和高风险),OHSS 的发生率分别为 0%、0.6%、2.7%和 8.3%;在内部验证队列中,发生率分别为 0%、0.6%、3.3%和 8.5%;在外部验证队列中,发生率分别为 0.1%、1.1%、4.1%和 7.2%。
局限性、谨慎原因:不能消除包括所有胚胎冷冻保存在内的临床干预的影响,因此雌激素水平等某些风险因素可能会被赋予较低的风险评分。该研究的另一个弱点是,模型中没有记录和评估几种预防治疗,例如口服阿司匹林和来曲唑。尽管 OHSS 评估指数具有强大的可靠性,但不能直接用于临床决策或作为诊断工具。它的价值在于评估各种干预措施的预后,并促进医患沟通。应该综合考虑该工具以及进一步的症状和检查,以实现对 OHSS 的准确和个性化管理。
可以实施 OHSS 风险评估指数,以促进 OHSS 的个性化咨询和管理。
研究资金/竞争利益:本研究得到了国家重点研发计划(2022YFC2702504)、广东省医学研究基金(A2024003)和广东省援疆特别项目(特殊通讯员)计划的支持(KTPYJ 2023014)。所有作者均无利益冲突。
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