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.

Agency
National Institute of Health (NIH)
Institute
Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD)
Type
Cooperative Clinical Research--Cooperative Agreements (U10)
Project #
5U10HD036801-13
Application #
7989967
Study Section
Special Emphasis Panel (ZHD1-DSR-A (03))
Program Officer
Spong, Catherine
Project Start
1998-04-15
Project End
2013-11-30
Budget Start
2010-12-01
Budget End
2011-11-30
Support Year
13
Fiscal Year
2011
Total Cost
$11,875,830
Indirect Cost
Name
George Washington University
Department
Biostatistics & Other Math Sci
Type
Schools of Arts and Sciences
DUNS #
043990498
City
Washington
State
DC
Country
United States
Zip Code
20052
Bloom, Steven L; Belfort, Michael; Saade, George et al. (2016) What we have learned about intrapartum fetal monitoring trials in the MFMU Network. Semin Perinatol 40:307-17
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
Salazar, Ashley; Tolivaisa, Susan; Allard, Donna et al. (2016) What we have learned about best practices for recruitment and retention in multicenter pregnancy studies. Semin Perinatol 40:321-7
Rice, Madeline Murguia; Landon, Mark B; Eunice Kennedy Shriver National Institute of Child Health and Human Development Maternal–Fetal Medicine Units (MFMU) Network (2016) What we have learned about treating mild gestational diabetes mellitus. Semin Perinatol 40:298-302
Blackwell, Sean C; Landon, Mark B; Mele, Lisa et al. (2016) Relationship Between Excessive Gestational Weight Gain and Neonatal Adiposity in Women With Mild Gestational Diabetes Mellitus. Obstet Gynecol 128:1325-1332
Basraon, Sanmaan K; Mele, Lisa; Myatt, Leslie et al. (2016) Relationship of Early Pregnancy Waist-to-Hip Ratio versus Body Mass Index with Gestational Diabetes Mellitus and Insulin Resistance. Am J Perinatol 33:114-21
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
Grobman, William A; Lai, Yinglei; Iams, Jay D et al. (2016) Prediction of Spontaneous Preterm Birth Among Nulliparous Women With a Short Cervix. J Ultrasound Med 35:1293-7
Bailit, Jennifer L; Grobman, William A; Rice, Madeline Murguia et al. (2016) Evaluation of delivery options for second-stage events. Am J Obstet Gynecol 214:638.e1-638.e10
Rice, Madeline Murguia; Landon, Mark B; Varner, Michael W et al. (2016) Pregnancy-Associated Hypertension in Glucose-Intolerant Pregnancy and Subsequent Metabolic Syndrome. Obstet Gynecol 127:771-9

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