| Customized versus Population Approach for Evaluation of Fetal Overgrowth. | |
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MedLine Citation:
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PMID: 23147078 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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Objective To compare the ability of customized versus normalized population fetal growth norms in identifying neonates at risk for adverse perinatal outcomes (APOs) associated with fetal overgrowth and gestational diabetes (GDM).Study Design Secondary analysis of a multicenter treatment trial of mild GDM. The primary outcome was a composite of neonatal outcomes associated with fetal overgrowth and GDM. Birth weight percentiles were calculated using ethnicity- and gender-specific population and customized norms (Gardosi).Results Two hundred three (9.8%) and 288 (13.8%) neonates were large for gestational age by population (LGApop) and customized (LGAcust) norms, respectively. Both LGApop and LGAcust were associated with the primary outcome and neonatal hyperinsulinemia, but neither was associated with hypoglycemia or hyperbilirubinemia. The ability of customized and population birth weight percentiles for predicting APOs were poor (area under the receiver operating characteristic curve < 0.6 for six of eight APOs).Conclusion Neither customized nor normalized population norms better identify neonates at risk of APOs related to fetal overgrowth and GDM. |
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Authors:
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Maged M Costantine; Lisa Mele; Mark B Landon; Catherine Y Spong; Susan M Ramin; Brian Casey; Ronald J Wapner; Michael W Varner; Dwight J Rouse; John M Thorp; Anthony Sciscione; Patrick Catalano; Steve N Caritis; Yoram Sorokin; Alan M Peaceman; Jorge E Tolosa; Garland D Anderson; |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2012-11-12 |
Journal Detail:
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Title: American journal of perinatology Volume: - ISSN: 1098-8785 ISO Abbreviation: Am J Perinatol Publication Date: 2012 Nov |
Date Detail:
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Created Date: 2012-11-13 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 8405212 Medline TA: Am J Perinatol Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Copyright Information:
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Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA. |
Affiliation:
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Department of Obstetrics and Gynecology at University of Texas Medical Branch, Galveston, Texas. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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