Document Detail

Equations to support predictive automated postnatal growth curves for premature infants.
MedLine Citation:
PMID:  16688206     Owner:  NLM     Status:  MEDLINE    
Growth charts are used in pediatric medicine to plot anthropomorphic measurements over time, serving as a screen for diseases related to a patient's nutritional and general health status. Whereas reference data for term infants are available from the Center for Disease Control, reference data for premature infants in a neonatal intensive care unit have not been established. Predictive curves for preterm patients, which are based on a patient's postmenstrual age and anthropomorphic measurements at birth, cannot be easily implemented with traditional paper-based methods. Preterm growth charts can be generated in an electronic health record system, but doing so requires mathematical equations or computer-readable tables. This report examines published perinatal growth curves and presents equations for predicted postnatal weight, head circumference and length in preterm infants.
W R Riddle; S C DonLevy; X F Qi; D A Giuse; S T Rosenbloom
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural    
Journal Detail:
Title:  Journal of perinatology : official journal of the California Perinatal Association     Volume:  26     ISSN:  0743-8346     ISO Abbreviation:  J Perinatol     Publication Date:  2006 Jun 
Date Detail:
Created Date:  2006-05-25     Completed Date:  2006-10-19     Revised Date:  2007-11-15    
Medline Journal Info:
Nlm Unique ID:  8501884     Medline TA:  J Perinatol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  354-8     Citation Subset:  IM    
Department of Radiology and Radiological Sciences, Medical Center North, Vanderbilt University Medical Center, Nashville, TN 37232-2675, USA.
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MeSH Terms
Birth Weight
Body Height
Body Weight
Gestational Age
Infant, Newborn / growth & development*
Infant, Premature / growth & development*
Medical Records Systems, Computerized
Models, Biological*
Statistics as Topic
Grant Support
1 K22 LM08576-01/LM/NLM NIH HHS

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

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