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亲-胎儿 医学单位（MFMU）网络，由一些主要的学术临床中心，数据 协调中心和研究所本身。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 在围产期医学中进行医疗决策的良好研究机构。目前该 MFMU网络计划，执行和分析多项随机临床试验和观察性试验 在母胎医学的各个方面，如早产预防，预测和 先兆子痫的预防、产科安全措施和 潜在的危险因素，如亚临床甲状腺功能减退症。 乔治华盛顿大学生物统计中心建议继续作为数据 网络的协调中心。我们的目的是提供专业知识和支持，在研究设计，研究 行为和统计分析。我们将在每项研究的设计中提供统计领导 以及中期和最终分析的准备。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、网络和中央数据输入、数据库管理和数据质量控制。 我们将协助研究者准备研究结果的手稿和摘要，我们将 根据MFMU网络策略准备最终数据集进行共享。我们还将提供行政支持 如安排提供研究药物和实验室检测的后勤服务， MFMU网络网站，协调会议、培训课程和成果审查。威威尔 有效和创造性地管理资源，以便我们能够及时开始新的研究。 拟议的研究与公共卫生的相关性是明确和直接的。网络的结果 研究可能会使全世界的孕妇及其子女受益;例如，通过发现 通过寻找改善儿童健康的母亲治疗方法， 特别是通过寻找治疗方法来帮助减轻早产儿的问题。

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.