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英国复发性流产女性的生育力、受孕时间及妊娠结局:一项前瞻性观察性纵向研究

Fertility, time to pregnancy, and pregnancy outcomes among women with recurrent miscarriages in the UK: a prospective observational longitudinal study.

作者信息

Koki Constandina, Shields Rebecca, Sweetman Rebecca, Boyle James, Khan Omar, Lim Choi Keung Sarah N, Arvanitis Theodoros N, Devall Adam J, Burroughs Nigel John, Quenby Siobhan

机构信息

Warwick Mathematics Institute, University of Warwick, Coventry, CV4 7AL, UK.

Obstetrics and Gynaecology Department, Warwick Hospital, Warwick, CV34 5BW, UK.

出版信息

Lancet Reg Health Eur. 2025 Jun 26;55:101343. doi: 10.1016/j.lanepe.2025.101343. eCollection 2025 Aug.

Abstract

BACKGROUND

Recurrent miscarriage is a debilitating disorder associated with considerable physical and psychological morbidity. An estimated 50% of first trimester miscarriages remain unexplained. The aim of this study was to provide a personalised framework to guide the expectations of women experiencing recurrent miscarriage, with the ultimate goal of transforming clinical practice.

METHODS

We used real-world data from a UK longitudinal study of 1201 couples attending National Health Service (NHS) miscarriage clinics, with a history of previous miscarriages, comprising medical and obstetric history, results of investigations and pregnancy and neonatal outcome. We developed, parametrised, and validated predictive models for the probability that the next pregnancy is viable and for the time to next pregnancy. Time to next pregnancy separates couples into two groups, a group with subfertility, delay in conception, and a group with no significant delay in conception. We used Bayesian inference for the latter model.Trial registration number: The prospective data collections were pre-registered ISRCTN17732518; https://doi.org/10.1186/ISRCTN17732518.

FINDINGS

Predictive models of the time to pregnancy, the probability of the couple being subfertility and the probability of having a viable pregnancy can be parametrised from longitudinal study data. We identified several predictors for such models. In the viable pregnancy model, increased maternal age, higher Body Mass Index (BMI), having Polycystic Ovaries Syndrome (PCOS) and the number of previous miscarriages were associated with reduced odds of viable pregnancy. In contrast, having had previous live births increased the odds of a viable pregnancy. Model validation against a second external dataset gave an Area Under Curve (AUC) of 0.65 (95% Confidence Interval (CI): 0.55, 0.76). Of the 942 women referred to our recurrent miscarriage clinics and followed up over a period of 3 years, 10.7% (101) did not conceive during this time, indicating a potential subfertility problem. In the time to pregnancy model, increased maternal age, higher BMI, and smoking were associated with reduced likelihood of conception. Conversely, taking folic acid supplements and having a history of previous conceptions were associated with increased fertility. In our cohort, 53.4% (577 out of 1080 women) reported a pregnancy within 12 months. Additionally, 22.8% (277 out of 996 women who were followed up over a 2-year period) experienced a first pregnancy event in the second year. The area under the curve (AUC) for predicting pregnancy within 12 months was 0.60 (95% CI: 0.50-0.70) in an external validation using a second dataset.

INTERPRETATION

The pregnancy journey can be predicted on a personalised basis by integrating the validated models. We provide a framework for evidence-based management of women with miscarriage, comprising informed decision-making, including optimal referral to fertility services, and a tailored insight into fertility outcomes, thereby guiding expectations and providing psychological support.

FUNDING

Tommy's National Centre for Miscarriage Research.

摘要

背景

复发性流产是一种使人衰弱的疾病,伴有相当大的身心发病率。估计有50%的孕早期流产原因不明。本研究的目的是提供一个个性化的框架,以指导经历复发性流产的女性的期望,最终目标是改变临床实践。

方法

我们使用了来自英国一项纵向研究的真实世界数据,该研究涉及1201对前往国民健康服务(NHS)流产诊所就诊、有过流产史的夫妇,数据包括医疗和产科病史、检查结果以及妊娠和新生儿结局。我们开发、参数化并验证了关于下一胎妊娠存活可能性以及下一胎妊娠时间的预测模型。下一胎妊娠时间将夫妇分为两组,一组存在生育力低下、受孕延迟的情况,另一组受孕无显著延迟。对于后一个模型,我们使用了贝叶斯推断。试验注册号:前瞻性数据收集已在ISRCTN17732518预注册;https://doi.org/10.1186/ISRCTN17732518。

研究结果

可以根据纵向研究数据对妊娠时间、夫妇生育力低下的概率以及妊娠存活的概率的预测模型进行参数化。我们确定了此类模型的几个预测因素。在妊娠存活模型中,母亲年龄增加、体重指数(BMI)较高、患有多囊卵巢综合征(PCOS)以及既往流产次数与妊娠存活几率降低相关。相比之下,既往有活产史会增加妊娠存活的几率。使用第二个外部数据集进行模型验证时,曲线下面积(AUC)为0.65(95%置信区间(CI):0.55,0.76)。在转诊至我们复发性流产诊所并随访3年的942名女性中,10.7%(101名)在此期间未受孕,表明存在潜在的生育力低下问题。在妊娠时间模型中,母亲年龄增加、BMI较高以及吸烟与受孕可能性降低相关。相反,服用叶酸补充剂以及有既往受孕史与生育力增加相关。在我们的队列中,53.4%(1080名女性中的577名)报告在12个月内怀孕。此外,22.8%(在2年随访期内的996名女性中的277名)在第二年经历了首次妊娠事件。在使用第二个数据集进行的外部验证中,预测12个月内怀孕的曲线下面积(AUC)为0.60(95%CI:0.50 - 0.70)。

解读

通过整合经过验证的模型,可以在个性化基础上预测妊娠过程。我们为流产女性的循证管理提供了一个框架,包括知情决策,包括最佳转诊至生育服务机构,以及对生育结局的定制化洞察,从而指导期望并提供心理支持。

资金来源

汤米全国流产研究中心。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d72d/12268084/e9bc1b8edb25/gr1.jpg

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