Data Coord. Center - NICHD Cooperative Multicenter Maternal Fetal Medicine Units

1986年，国家儿童健康和人类发展研究所创建了母婴 医学单位(MFMU)网络，由多个主要学术临床中心、数据 协调中心，以及研究所本身。该网络的目的是进行临床研究 旨在降低不良妊娠和婴儿结局的风险，最终目标是 作为围产期医学决策依据的良好研究的主体。目前， MFMU网络正在计划、实施和分析多个随机临床试验和观察 母婴医学的各个方面的研究，如早产预防、预测和 先兆子痫的预防、产科安全措施及妊娠合并子痫前期的处理 潜在的危险因素，如亚临床甲状腺功能减退。 乔治华盛顿大学生物统计中心建议继续作为数据 网络协调中心。我们的目的是为研究设计、研究提供专业知识和支持 并进行统计分析。我们将在每一项研究研究的设计中提供统计领导 以及中期和最终分析的准备工作。我们将准备研究文件，包括方案， 操作手册和数据表格，我们将继续提供全面的数据处理 系统包括分布式、Web和集中式数据录入、数据库管理和数据质量控制。 我们将协助调查人员根据研究结果和我们的意愿准备手稿和摘要 根据MFMU网络策略准备用于共享的最终数据集。我们还将提供行政支持 如安排后勤服务以提供研究药物和实验室化验、维持 MFMU网络网站、协调会议、培训课程和成果审查。我们的遗嘱 有效和创造性地管理资源，以便我们能够及时开始新的学习。 拟议的研究与公共卫生的相关性是明确和直接的。网络的成果 研究可能使世界各地的孕妇和她们的孩子受益；例如，通过发现 方法筛查怀孕期间的问题，通过寻找改善儿童健康的孕产妇治疗， 特别是通过寻找治疗方法来帮助减轻婴儿过早出生的问题。

In 1986, the National Institute of Child Health and Human Development created the Maternal-Fetal Medicine Units (MFMU) Network, consisting of a number of major academic clinical centers, a data coordinating center, and the Institute itself. The purpose ofthe Network was to conduct clinical research aimed at reducing the risk of adverse pregnancy and infant outcome with the ultimate goal of contributing a body of well-conducted studies on which to base medical decisions in perinatal medicine. At present, the MFMU Networkis planning, conducting and analyzingmultiple randomized clinical trials and observational studies in various aspects of maternal-fetal medicine such as preterm birth prevention, prediction and prevention of preeclampsia, measures of obstetrical safety and the management of pregnant women with potential risk factors such as subclinical hypothyroidism. The GeorgeWashington UniversityBiostatistics Center proposes to continue to serve as the data coordinating center for the Network. Our purpose is to provide expertise and support in study design, study conduct and statistical analysis. We will provide statistical leadership in the design ofeach research study and in the preparation of interim and final analyses. We will prepare study documents, including protocols, manuals of operations and data forms, and we will continueto provide a comprehensivedata processing system including distributed, web and central data entry, data base management and data quality control. We will assist investigators in the preparation of manuscripts and abstracts from study results and wewill prepare the final dataset for sharing per MFMU Networkpolicy. We will also provide administrative support such as arrangement of logistical services for provision of study drugs and laboratory assays, maintenance of the MFMU Networkwebsite, coordination of meetings, training sessions and outcome reviews. Wewill manage resources effectively and creatively, so that we can start new studies in a timely manner. The relevance ofthe proposed research to public health is clear and direct. The results ofthe Network studies potentially can benefit pregnant women and their children worldwide; for example, by finding methods to screen for problems in pregnancy, by finding maternal treatments that improve children's health, and especially by finding treatments that can help lessen the problem ofbabies being born too early.