Document Detail

A customized standard of large size for gestational age to predict intrapartum morbidity.
MedLine Citation:
PMID:  21514553     Owner:  NLM     Status:  Publisher    
OBJECTIVE: The purpose of this study was to determine whether a customized standard of large-for-gestational age (LGA) identifies pregnancies with increased perinatal risk. STUDY DESIGN: We evaluated 7510 estimates of fetal weight to generate a fetal growth curve. Next, we analyzed the gestational age at delivery, physiologic and pathological variables from 5072 pregnancies to predict birthweight, and calculated a customized ideal birthweight and cutoff for LGA. In a separate analysis of 32,271 pregnancies, rates of macrosomia-related adverse outcomes were compared in pregnancies that had been identified as LGA by a customized standard (LGA(cust)) and those pregnancies that had been identified as LGA or macrosomic by conventional standards. RESULTS: LGA(cust) pregnancies carried increased risk of shoulder dystocia, third- or fourth-degree laceration, and cephalopelvic disproportion. LGA(cust) pregnancies that did not meet conventional criteria for LGA/macrosomia were at increased risk of all measured outcomes. CONCLUSION: A customized standard of LGA identifies a previously unrecognized population that is at increased risk of perinatal morbidity.
Jacob C Larkin; Paul D Speer; Hyagriv N Simhan
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2011-3-5
Journal Detail:
Title:  American journal of obstetrics and gynecology     Volume:  -     ISSN:  1097-6868     ISO Abbreviation:  -     Publication Date:  2011 Mar 
Date Detail:
Created Date:  2011-4-25     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0370476     Medline TA:  Am J Obstet Gynecol     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2011 Mosby, Inc. All rights reserved.
Division of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology, and Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, PA.
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