Original Article
Journal of Perinatology (2006) 26, 354–358. doi:10.1038/sj.jp.7211511; published online 4 May 2006
Equations to support predictive automated postnatal growth curves for premature infants
W R Riddle1, S C DonLevy2, X F Qi3, D A Giuse3 and S T Rosenbloom2,3
- 1Department of Radiology and Radiological Sciences, Medical Center North, Vanderbilt University Medical Center, Nashville, TN, USA
- 2Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA
- 3Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
Correspondence: WR Riddle, Department of Radiology and Radiological Sciences, R-1311, Medical Center North, Vanderbilt University Medical Center, Nashville, TN 37232-2675, USA. E-mail: bill.riddle@vanderbilt.edu
Received 26 January 2006; Revised 28 March 2006; Accepted 30 March 2006; Published online 4 May 2006.
Abstract
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.
Keywords:
growth charts, neonates, preterm infants, electronic health records
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