From population reference to national standard: new and improved birthweight charts

Liset Hoftiezer1, Michel H P Hof2, Joyce Dijs-Elsinga3

  • 1Department of Neonatology, Princess Amalia Department of Pediatrics, Isala, Zwolle, The Netherlands; Department of Neonatology, Amalia Children's Hospital, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands.

Insights

New prescriptive birthweight charts, excluding infants with risk factors for abnormal fetal growth, better identify small-for-gestational-age infants. This approach improves the discrimination between normal and abnormal birthweight, aiding clinical practice.

Area of Science:

  • Obstetrics and Gynecology
  • Neonatology
  • Perinatology

Background:

  • Accurate detection of intrauterine growth restriction (IUGR) before birth is a significant clinical challenge.
  • Postnatal diagnosis of IUGR relies on birthweight charts, but chart selection impacts infant classification.
  • Existing charts face controversy regarding the exclusion of infants with pathological risk factors.

Purpose of the Study:

  • To identify and quantify pathological risk factors affecting fetal growth.
  • To develop prescriptive birthweight charts for the Dutch population based on these findings.
  • To enhance the accurate classification of infants' growth status.

Main Methods:

  • Retrospective cross-sectional study of 2,712,301 infants born in the Netherlands (2000-2014).
  • Risk factors for abnormal fetal growth were identified and categorized.
  • Prescriptive charts derived from a low-risk population using Box-Cox-t distribution for sex-specific percentiles.

Main Results:

  • Over 37% of infants were excluded due to identified risk factors for abnormal fetal growth.
  • Significant differences in mean birthweights were observed between infants with and without risk factors.
  • New charts' 10th percentiles approximated fetal-weight charts, exceeding existing birthweight charts.

Conclusions:

  • Excluding infants with risk factors yields prescriptive charts similar to fetal-weight charts.
  • This method improves the discrimination between normal and abnormal birthweight.
  • The developed approach serves as a proof of concept applicable to other populations.
Abstract

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