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 of the 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 Network is planning, conducting and analyzing multiple 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 George Washington University Biostatistics 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 of each 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 continue to provide a comprehensive data 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 we will prepare the final dataset for sharing per MFMU Network policy. We will also provide administrative support such as arrangement of logistical services for provision of study drugs and laboratory assays, maintenance of the MFMU Network website, coordination of meetings, training sessions and outcome reviews. We will manage resources effectively and creatively, so that we can start new studies in a timely manner. The relevance of the proposed research to public health is clear and direct. The results of the 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 of babies being born too early.

National Institute of Health (NIH)
Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD)
Cooperative Clinical Research--Cooperative Agreements (U10)
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Special Emphasis Panel (ZHD1-DSR-A (03))
Program Officer
Spong, Catherine
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George Washington University
Biostatistics & Other Math Sci
Schools of Arts and Sciences
United States
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Varner, Michael W; Rice, Madeline Murguia; Landon, Mark B et al. (2017) Pregnancies After the Diagnosis of Mild Gestational Diabetes Mellitus and Risk of Cardiometabolic Disorders. Obstet Gynecol 129:273-280
Tita, Alan T N; Lai, Yinglei; Landon, Mark B et al. (2017) Predictive Characteristics of Elevated 1-Hour Glucose Challenge Test Results for Gestational Diabetes. Am J Perinatol 34:1464-1469
Chauhan, Suneet P; Rice, Madeline Murguia; Grobman, William A et al. (2017) Neonatal Morbidity of Small- and Large-for-Gestational-Age Neonates Born at Term in Uncomplicated Pregnancies. Obstet Gynecol 130:511-519
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Harper, Lorie M; Mele, Lisa; Landon, Mark B et al. (2016) Carpenter-Coustan Compared With National Diabetes Data Group Criteria for Diagnosing Gestational Diabetes. Obstet Gynecol 127:893-8
Cheong-See, Fiona; Schuit, Ewoud; Arroyo-Manzano, David et al. (2016) Prospective risk of stillbirth and neonatal complications in twin pregnancies: systematic review and meta-analysis. BMJ 354:i4353
McDonnold, Mollie; Mele, Lisa M; Myatt, Leslie et al. (2016) Waist-to-Hip Ratio versus Body Mass Index as Predictor of Obesity-Related Pregnancy Outcomes. Am J Perinatol 33:618-24
Thom, Elizabeth A; Rice, Madeline Murguia; Saade, George R et al. (2016) What we have learned about the design of randomized trials in pregnancy. Semin Perinatol 40:328-34

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