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ePPOP-ID 研究的原理和设计:一项多中心随机对照试验,使用电子个体化孕期肥胖干预程序以改善分娩结局。

Rationale and design of ePPOP-ID: a multicenter randomized controlled trial using an electronic-personalized program for obesity in pregnancy to improve delivery.

机构信息

Univ. Lille, CHU Lille, EA 4489 - Environnement Périnatal et Santé, F-59000, Lille, France.

Pôle Gynécologie, Obstétrique et Fertilité, Hôpitaux Universitaires de Strasbourg, 67200, Strasbourg cedex, France.

出版信息

BMC Pregnancy Childbirth. 2020 Oct 7;20(1):602. doi: 10.1186/s12884-020-03288-x.

Abstract

BACKGROUND

Pre-pregnancy obesity and excessive gestational weight gain (GWG) are established risk factors for adverse pregnancy, delivery and birth outcomes. Pregnancy is an ideal moment for nutritional interventions in order to establish healthier lifestyle behaviors in women at high risk of obstetric and neonatal complications.

METHODS

Electronic-Personalized Program for Obesity during Pregnancy to Improve Delivery (ePPOP-ID) is an open multicenter randomized controlled trial which will assess the efficacy of an e-health web-based platform offering a personalized lifestyle program to obese pregnant women in order to reduce the rate of labor procedures and delivery interventions in comparison to standard care. A total of 860 eligible pregnant women will be recruited in 18 centers in France between 12 and 22 weeks of gestation, randomized into the intervention or the control arm and followed until 10 weeks of postpartum. The intervention is based on nutrition, eating behavior, physical activity, motivation and well-being advices in which personalization is central, as well as the use of a mobile/tablet application. Inputs includes data from the medical record of participants (medical history, anthropometric data), from the web platform (questionnaires on dietary habits, eating behavior, physical activity and motivation in both groups), and adherence to the program (time of connection for the intervention group only). Data are collected at inclusion, 32 weeks, delivery and 10 weeks postpartum. As primary outcome, we will use a composite endpoint score of obstetrical interventions during labor and delivery, defined as caesarean section and instrumental delivery (forceps and vacuum extractor). Secondary outcomes will consist of data routinely collected as part of usual antenatal and perinatal care, such as GWG, hypertension, preeclampsia, as well as fetal and neonatal outcomes including premature birth, gestational age at birth, birth weight, macrosomia, Apgar score, arterial umbilical cord pH, neonatal traumatism, hyperbilirubinemia, respiratory distress syndrome, transfer in neonatal intensive care unit, and neonatal adiposity. Post-natal outcomes will be duration of breastfeeding, maternal weight retention and child weight at postnatal visit.

DISCUSSION

The findings of the ePPOP-ID trial will help design e-health intervention program for obese women in pregnancy.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT02924636 / October 5th 2016.

摘要

背景

孕前肥胖和孕期体重过度增加(GWG)是不良妊娠、分娩和出生结局的既定危险因素。妊娠是进行营养干预的理想时机,以便在高产科和新生儿并发症风险的女性中建立更健康的生活方式行为。

方法

电子个性化妊娠肥胖计划以改善分娩(ePPOP-ID)是一项开放的多中心随机对照试验,将评估一种基于网络的电子健康平台提供个性化生活方式计划的效果,以减少肥胖孕妇的分娩程序和分娩干预率,与标准护理相比。共有 860 名符合条件的孕妇将在法国 18 个中心在妊娠 12-22 周之间招募,随机分为干预组或对照组,并随访至产后 10 周。该干预基于营养、饮食行为、体育活动、动机和健康建议,个性化是核心,同时使用移动/平板电脑应用程序。输入内容包括参与者病历(病史、人体测量数据)、网络平台(两组饮食习惯、饮食行为、体育活动和动机的问卷)和对该程序的依从性(仅干预组的连接时间)的数据。数据在纳入时、32 周、分娩时和产后 10 周收集。主要结果是使用产时和分娩期间产科干预的复合终点评分,定义为剖宫产术和器械分娩(产钳和真空吸引器)。次要结果将包括作为常规产前和围产期护理一部分收集的数据,例如 GWG、高血压、先兆子痫,以及胎儿和新生儿结局,包括早产、出生时胎龄、出生体重、巨大儿、阿普加评分、脐动脉 pH 值、新生儿创伤、高胆红素血症、呼吸窘迫综合征、新生儿重症监护病房转移,以及新生儿肥胖。产后结局将是母乳喂养持续时间、产后体重保留和产后访视时儿童体重。

讨论

ePPOP-ID 试验的结果将有助于为妊娠肥胖妇女设计电子健康干预计划。

试验注册

ClinicalTrials.gov 标识符:NCT02924636/2016 年 10 月 5 日。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7433/7542973/935cadf11daa/12884_2020_3288_Fig1_HTML.jpg

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