Suppr超能文献

EVERREST前瞻性研究:一项为期6年的前瞻性研究,旨在确定受严重早发性胎儿生长受限影响的妊娠的临床和生物学特征。

EVERREST prospective study: a 6-year prospective study to define the clinical and biological characteristics of pregnancies affected by severe early onset fetal growth restriction.

作者信息

Spencer Rebecca, Ambler Gareth, Brodszki Jana, Diemert Anke, Figueras Francesc, Gratacós Eduard, Hansson Stefan R, Hecher Kurt, Huertas-Ceballos Angela, Marlow Neil, Marsál Karel, Morsing Eva, Peebles Donald, Rossi Carlo, Sebire Neil J, Timms John F, David Anna L

机构信息

Institute for Women's Health, University College London, London, UK.

Institute for Women's Health, University College London and NIHR University College London Hospitals Biomedical Research Centre, London, UK.

出版信息

BMC Pregnancy Childbirth. 2017 Jan 23;17(1):43. doi: 10.1186/s12884-017-1226-7.

Abstract

BACKGROUND

Fetal growth restriction (FGR) is a serious obstetric condition for which there is currently no treatment. The EVERREST Prospective Study has been designed to characterise the natural history of pregnancies affected by severe early onset FGR and establish a well phenotyped bio-bank. The findings will provide up-to-date information for clinicians and patients and inform the design and conduct of the EVERREST Clinical Trial: a phase I/IIa trial to assess the safety and efficacy of maternal vascular endothelial growth factor (VEGF) gene therapy in severe early onset FGR. Data and samples from the EVERREST Prospective Study will be used to identify ultrasound and/or biochemical markers of prognosis in pregnancies with an estimated fetal weight (EFW) <3rd centile between 20+0 and 26+6 weeks of gestation.

METHODS

This is a 6 year European multicentre prospective cohort study, recruiting women with a singleton pregnancy where the EFW is <3rd centile for gestational age and <600 g at 20+0 to 26+6 weeks of gestation. Detailed data are collected on: maternal history; antenatal, peripartum, and postnatal maternal complications; health economic impact; psychological impact; neonatal condition, progress and complications; and infant growth and neurodevelopment to 2 years of corrected age in surviving infants. Standardised longitudinal ultrasound measurements are performed, including: fetal biometry; uterine artery, umbilical artery, middle cerebral artery, and ductus venosus Doppler velocimetry; and uterine artery and umbilical vein volume blood flow. Samples of maternal blood and urine, amniotic fluid (if amniocentesis performed), placenta, umbilical cord blood, and placental bed (if caesarean delivery performed) are collected for bio-banking. An initial analysis of maternal blood samples at enrolment is planned to identify biochemical markers that are predictors for fetal or neonatal death.

DISCUSSION

The findings of the EVERREST Prospective Study will support the development of a novel therapy for severe early onset FGR by describing in detail the natural history of the disease and by identifying women whose pregnancies have the poorest outcomes, in whom a therapy might be most advantageous. The findings will also enable better counselling of couples with affected pregnancies, and provide a valuable resource for future research into the causes of FGR.

TRIAL REGISTRATION

NCT02097667 registered 31 October 2013.

摘要

背景

胎儿生长受限(FGR)是一种严重的产科疾病,目前尚无治疗方法。EVERREST前瞻性研究旨在描述受严重早发型FGR影响的妊娠的自然病史,并建立一个具有良好表型的生物样本库。研究结果将为临床医生和患者提供最新信息,并为EVERREST临床试验的设计和实施提供依据:这是一项I/IIa期试验,旨在评估母体血管内皮生长因子(VEGF)基因治疗严重早发型FGR的安全性和有效性。EVERREST前瞻性研究的数据和样本将用于确定妊娠20+0至26+6周时估计胎儿体重(EFW)<第3百分位数的妊娠的超声和/或生化预后标志物。

方法

这是一项为期6年的欧洲多中心前瞻性队列研究,招募单胎妊娠的妇女,其EFW在妊娠20+0至26+6周时低于胎龄的第3百分位数且<600克。收集以下详细数据:母亲病史;产前、产时和产后母亲并发症;健康经济影响;心理影响;新生儿状况、进展和并发症;以及存活婴儿至矫正年龄2岁时的婴儿生长和神经发育情况。进行标准化的纵向超声测量,包括:胎儿生物测量;子宫动脉、脐动脉、大脑中动脉和静脉导管多普勒测速;以及子宫动脉和脐静脉容积血流。收集母亲血液和尿液、羊水(如果进行羊膜穿刺术)、胎盘、脐带血和胎盘床(如果进行剖宫产)的样本用于生物样本库储存。计划在入组时对母亲血液样本进行初步分析,以确定预测胎儿或新生儿死亡的生化标志物。

讨论

EVERREST前瞻性研究的结果将通过详细描述该疾病的自然病史,并识别出妊娠结局最差、治疗可能最具优势的女性,来支持开发一种针对严重早发型FGR的新型疗法。研究结果还将使对受影响妊娠的夫妇进行更好的咨询成为可能,并为未来关于FGR病因的研究提供宝贵资源。

试验注册

NCT02097667,于2013年10月31日注册。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b205/5259830/43bc75a09371/12884_2017_1226_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验