Randall Deborah, Ibiebele Ibinabo, Nippita Tanya, Torvaldsen Siranda, Morris Jonathan M, Gallimore Felicity, Weir Tessa L, Glastras Sarah
Reproduction and Perinatal Centre - Northern Precinct, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.
Clinical Excellence Commission, NSW Health, St Leonards, New South Wales, Australia.
BMJ Open. 2024 Dec 26;14(12):e087248. doi: 10.1136/bmjopen-2024-087248.
The incidence of gestational diabetes mellitus (GDM) in Australia has tripled in the last 20 years. Consequently, over 40 000 pregnancies are now diagnosed as 'higher risk' each year. This has increased antenatal surveillance and obstetric intervention, often in the form of delivery earlier than 39 weeks gestation. The StUdy of Gestational diabetes And Risk using Electronic Data (SUGARED) project aims to use large population-based and routinely collected linked health data to (1) personalise risk prediction of adverse pregnancy outcomes for women undergoing glucose tolerance testing, (2) guide optimal birth timing for women with diet-controlled GDM and (3) examine variation in GDM management and pregnancy outcomes in New South Wales (NSW), Australia.
This retrospective cohort study using linked, routinely collected health data includes all women who gave birth from January 2016 to December 2020 in NSW. The cohort will include approximately 475 000 pregnancies, with >70 000 diagnosed with GDM. The study will link birth data to hospital data and birth/death registry data. In addition, clinical pathology results and detailed clinical information from a subset of public hospital pregnancies in 13 of 15 area health services will be linked. To address the three main aims, we will use statistical methods including logistic regression and K-fold cross-validation for risk prediction, a propensity-score matching 'target trial' method to examine birth timing, and multilevel modelling to examine hospital variation.
Ethics approval for the study has been granted by the NSW Population and Health Services Research Ethics Committee. We will communicate evidence generated from SUGARED to the local health districts and their clinicians, as well as potentially optimising dissemination using existing digital infrastructure.
在过去20年中,澳大利亚妊娠期糖尿病(GDM)的发病率增长了两倍。因此,现在每年有超过40000例妊娠被诊断为“高风险”。这增加了产前监测和产科干预,通常采取在妊娠39周前分娩的形式。妊娠期糖尿病与风险的电子数据研究(SUGARED)项目旨在利用基于人群的大规模常规收集的关联健康数据,(1)为接受葡萄糖耐量测试的女性个性化预测不良妊娠结局的风险,(2)为饮食控制的GDM女性指导最佳分娩时机,以及(3)研究澳大利亚新南威尔士州(NSW)GDM管理和妊娠结局的差异。
这项回顾性队列研究使用常规收集的关联健康数据,包括2016年1月至2020年12月在新南威尔士州分娩的所有女性。该队列将包括约475000例妊娠,其中超过70000例被诊断为GDM。该研究将把出生数据与医院数据以及出生/死亡登记数据相链接。此外,还将链接15个地区卫生服务机构中13个机构的部分公立医院妊娠的临床病理结果和详细临床信息。为实现三个主要目标,我们将使用统计方法,包括用于风险预测的逻辑回归和K折交叉验证、用于检查分娩时机的倾向评分匹配“目标试验”方法,以及用于检查医院差异的多水平建模。
该研究已获得新南威尔士州人口与卫生服务研究伦理委员会的伦理批准。我们将把SUGARED产生的证据传达给当地卫生区及其临床医生,并可能利用现有的数字基础设施优化传播。