A Pregnancy Cohort to Study Multidimensional Correlates of Preterm Birth in India: Study Design, Implementation, and Baseline Characteristics of the Participants
A Pregnancy Cohort to Study Multidimensional Correlates of Preterm Birth in India: Study Design, Implementation, and Baseline Characteristics of the Participants
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DOI：
10.1093/aje/kwy284
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发表时间：
2019-04-01
影响因子：
5
通讯作者：
Bal, Vineeta
中科院分区：
文献类型：
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作者：
Bhatnagar, Shinjini;Majumder, Partha P.;Bal, Vineeta
在全球范围内，早产是一个重大的公共卫生问题。在印度，每年出生的 2700 万婴儿中有 360 万是早产儿。根据怀孕期间评估的多维风险因素对妇女进行风险分层对于预防早产至关重要。 2015 年 5 月，印度哈里亚纳邦古尔冈市的民用医院启动了一项针对孕妇的队列研究。女性在妊娠 20 周内入组，并进行随访直至分娩，并在产后进行一次。目标是确定临床、流行病学、基因组、表观基因组、蛋白质组和微生物的相关性；通过使用综合组学方法发现分子风险标记；并生成早产风险预测算法。我们在此描述纵向研究设计、数据收集方法以及正在创建的数据、生物样本和超声图像的存储库。截至 2018 年 3 月，共有 4,326 名孕妇入组，并有妊娠 20 周前的招募证据记录。我们报告了前 2,000 名入组参与者的基线特征和结果。值得注意的是，早产发生率很高（1,662 名活产婴儿中早产率为 14.9%）。队列数据库和存储库将成为回答有关早产和其他出生结果的关键问题的全球资源。
Globally, preterm birth is a major public health problem. In India, 3.6 million of the 27 million infants born annually are preterm. Risk stratification of women based on multidimensional risk factors assessed during pregnancy is critical for prevention of preterm birth. A cohort study of pregnant women was initiated in May 2015 at the civil hospital in Gurugram, Haryana, India. Women are enrolled within 20 weeks of gestation and are followed until delivery and once postpartum. The objectives are to identify clinical, epidemiologic, genomic, epigenomic, proteomic, and microbial correlates; discover molecular-risk markers by using an integrative -omics approach; and generate a risk-prediction algorithm for preterm birth. We describe here the longitudinal study design, methodology of data collection, and the repositories of data, biospecimens, and ultrasound images being created. A total of 4,326 pregnant women, with documented evidence of recruitment before 20 weeks of gestation, have been enrolled through March 2018. We report baseline characteristics and outcomes of the first 2,000 enrolled participants. A high frequency of preterm births (14.9% among 1,662 live births) is noteworthy. The cohort database and the repositories will become global resources to answer critical questions on preterm birth and other birth outcomes.