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

  1. 1Department of Radiology and Radiological Sciences, Medical Center North, Vanderbilt University Medical Center, Nashville, TN, USA
  2. 2Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA
  3. 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.

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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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