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Contributions of the NICHD neonatal research network's generic database to documenting and advancing the outcomes of extremely preterm infants |
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| Institution: | 1. Department of Pediatrics, University of Iowa, Iowa City, IA, USA;2. Department of Pediatrics, Emory University, Atlanta, GA, USA;3. Department of Pediatrics, McGovern Medical School at UTHealth, Houston, TX, USA;4. Social, Statistical, and Environmental Sciences Unit, RTI International, Research Triangle Park, NC;5. Department of Pediatrics, University of Texas Southwestern, Dallas, TX, USA;6. Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD, USA;7. Department of Pediatrics, Nationwide Children''s Hospital, The Ohio State University College of Medicine, Columbus, OH, USA;8. Social, Statistical, and Environmental Sciences Unit, RTI International, Berkeley, CA, USA;9. Social, Statistical, and Environmental Sciences Unit, RTI International, Rockville, MD, USA;10. Office of the Associate VP for Research, Florida Gulf Coast University, Fort Myers, FL, USA;1. Department of Pediatrics, Cell Biology & Anatomy New York Medical College, Valhalla, NY;2. Department of Pediatrics, Biochemistry and Molecular Biology, New York Medical College, Valhalla, NY;1. Department of Pediatrics, Albert Einstein College of Medicine, Bronx, NY;2. Dominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, NY, USA;1. Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA;2. Department of Pediatrics, Washington University in St. Louis, St. Louis, MO, USA;3. Department of Radiology, Washington University in St. Louis, St. Louis, MO, USA |
| Abstract: | The Eunice Kennedy Shriver National Institute of Child Health and Human Development Neonatal Research Network (NRN) maintains a database of extremely preterm infants known as the Generic Database (GDB). Begun in 1987, this database now includes more than 91,000 infants, most of whom are extremely preterm (<29 weeks gestation). The GDB has been the backbone of the NRN, providing high quality, prospectively collected data to study the changing epidemiology of extreme prematurity and its outcomes over time. In addition, GDB data have been used to generate hypotheses for prospective studies and to develop new clinical trials by providing information about the numbers and characteristics of available subjects and the expected event rates for conditions and complications to be studied. Since its inception, the GDB has been the basis of more than 200 publications in peer-reviewed journals, many of which have had a significant impact on the field of neonatology. |
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