Anzelin Lucas, Thiébaut Anne C M, Leloup Laurence, Lapillonne Alexandre, Pierrat Véronique, Tubert-Bitter Pascale, Escolano Sylvie, Desplanques Laurence, Granier Michèle, Hanf Matthieu, Study Group Sev-Idf
Data Science Department, SESAN, Paris, France
High Dimensional Biostatistics Team, INSERM, Villejuif, France.
BMJ Open. 2025 Jul 7;15(7):e089953. doi: 10.1136/bmjopen-2024-089953.
The SEV-IDF programme aims to track infants born before 33 weeks of gestation, with very low birth weight (VLBW), neonatal encephalopathy or severe birth anomalies and perinatal disease. It employs an open, prospective, multicentric, population-based cohort approach. This report aims to describe the methodology employed to establish and manage the programme, details regarding follow-up procedures, baseline characteristics of the included infants, and highlights new research opportunities emerging from the "" (SEV-IDF) programme.
The programme aims to (1) detect developmental anomalies early, (2) improve prevention using standardised data, (3) optimise follow-up care and (4) support multidisciplinary research.Eligible participants are infants alive at discharge from the 59 maternities with a neonatal unit of the Île-de-France (IDF) region (France). A network of 567 trained physicians monitors the children's development at 4 months, 1 and 2 years of corrected age, and 3, 4, 5, 6 and 7 years of age. Collected data include sociodemographic, pregnancy and neonatal characteristics, and standardised child development scores.
The programme enrolled 21 175 participants between 2016 and 2023, with 16 461 (77.7%) having a gestational age less than 33 weeks, 1916 (9.0%) others having VLBW, 1525 (7.2%) having encephalopathy and 1273 (6.0%) having another severe birth anomaly.
The collected data will enable the SEV-IDF scientific committee to describe high-risk infants in the IDF region, design evidence-based campaigns to improve the quality and effectiveness of the follow-up as well as conduct research on developmental anomalies in these high-risk infants. Ongoing research currently focuses on anticipating loss to follow-up and early detection of developmental anomalies.
SEV-IDF项目旨在追踪孕周不足33周、出生体重极低(VLBW)、患有新生儿脑病或严重出生异常及围产期疾病的婴儿。该项目采用开放式、前瞻性、多中心、基于人群的队列研究方法。本报告旨在描述建立和管理该项目所采用的方法、随访程序的详细信息、纳入婴儿的基线特征,并突出“SEV-IDF”项目中出现的新研究机会。
该项目旨在(1)早期发现发育异常,(2)利用标准化数据改进预防措施,(3)优化随访护理,(4)支持多学科研究。符合条件的参与者是在法国法兰西岛(IDF)地区59家设有新生儿科的产科出院时存活的婴儿。由567名经过培训的医生组成的网络在矫正年龄4个月、1岁和2岁以及3、4、5、6和7岁时监测儿童的发育情况。收集的数据包括社会人口统计学、妊娠和新生儿特征以及标准化儿童发育评分。
该项目在2016年至2023年期间招募了21175名参与者,其中16461名(77.7%)孕周小于33周,1916名(9.0%)其他婴儿出生体重极低,1525名(7.2%)患有脑病,1273名(6.0%)患有其他严重出生异常。
收集到的数据将使SEV-IDF科学委员会能够描述IDF地区的高危婴儿,设计基于证据的活动以提高随访的质量和有效性,并对这些高危婴儿的发育异常进行研究。目前正在进行的研究主要集中在预测失访情况和早期发现发育异常。