Document Detail


New intrauterine growth curves based on United States data.
MedLine Citation:
PMID:  20100760     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
OBJECTIVE: The objective of this study was to create and validate new intrauterine weight, length, and head circumference growth curves using a contemporary, large, racially diverse US sample and compare with the Lubchenco curves. METHODS: Data on 391 681 infants (Pediatrix Medical Group) aged 22 to 42 weeks at birth from 248 hospitals within 33 US states (1998-2006) for birth weight, length, head circumference, estimated gestational age, gender, and race were used. Separate subsamples were used to create and validate curves. Smoothed percentile curves (3rd to 97th) were created by the Lambda Mu Sigma (LMS) method. The validation sample was used to confirm representativeness of the curves. The new curves were compared with the Lubchenco curves. RESULTS: Final sample included 257 855 singleton infants (57.2% male) who survived to discharge. Gender-specific weight-, length-, and head circumference-for-age curves were created (n = 130 111) and successfully validated (n = 127 744). Small-for-gestational age and large-for-gestational age classifications using the Lubchenco curves differed significantly from the new curves for each gestational age (all P < .0001). The Lubchenco curves underestimated the percentage of infants who were small-for-gestational-age except for younger girls (< or =36 weeks), for whom it was more likely to be overestimated; underestimated percentage of infants (< or =36 weeks) who were large-for-gestational-age; and overestimated percentage of infants (>36 weeks) who were large-for-gestational-age. CONCLUSIONS: The Lubchenco curves may not represent the current US population. The new intrauterine growth curves created and validated in this study, based on a contemporary, large, racially diverse US sample, provide clinicians with an updated tool for growth assessment in US NICUs. Research into the ability of the new definitions of small-for-gestational-age and large-for-gestational-age to identify high-risk infants in terms of short-term and long-term health outcomes is needed.
Authors:
Irene E Olsen; Sue A Groveman; M Louise Lawson; Reese H Clark; Babette S Zemel
Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't; Validation Studies     Date:  2010-01-25
Journal Detail:
Title:  Pediatrics     Volume:  125     ISSN:  1098-4275     ISO Abbreviation:  Pediatrics     Publication Date:  2010 Feb 
Date Detail:
Created Date:  2010-02-03     Completed Date:  2010-03-04     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0376422     Medline TA:  Pediatrics     Country:  United States    
Other Details:
Languages:  eng     Pagination:  e214-24     Citation Subset:  AIM; IM    
Affiliation:
RD, LDN, c/o Louise Lawson, PhD, Kennesaw State, Department of Math and Stats, Box 1204, building 12, 1000 Chastain Rd, Kennesaw, GA 30144-5591, USA. ieolsen@yahoo.com
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MeSH Terms
Descriptor/Qualifier:
Body Height
Female
Fetal Development / physiology*
Fetal Weight
Fetus / physiology*
Gestational Age
Head / growth & development
Humans
Infant, Newborn
Infant, Premature / physiology
Infant, Small for Gestational Age
Male
Reference Values
United States

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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