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The adverse effects of utilizing altitude-inappropriate fetal growth curves

E J Lugo1, T M Tominey

  • 1Department of Pediatrics, 97th General Hospital, Frankfurt, West Germany.

Insights

Using a sea level fetal growth curve is crucial for accurately identifying newborns at risk for hypoglycemia and polycythemia. High altitude curves may miss infants needing screening, impacting timely intervention for conditions like small for gestational age (SGA) and large for gestational age (LGA) infants.

Area of Science:

  • Neonatal Medicine
  • Pediatric Endocrinology
  • Perinatal Health

Background:

  • Newborn nurseries near sea level often use high-altitude (Denver) fetal growth curves.
  • This practice may lead to underestimation of small for gestational age (SGA) infants.
  • Consequently, high-risk neonates for hypoglycemia and polycythemia might go undetected.

Purpose of the Study:

  • To compare the risk of hypoglycemia and polycythemia in newborns using high-altitude versus sea level fetal growth curves.
  • To determine if using an altitude-appropriate curve improves the detection of at-risk infants.

Main Methods:

  • Retrospective evaluation of 354 newborn infants.
  • Comparison of hypoglycemia and polycythemia risks between infants classified using a high-altitude curve versus a sea level curve.
  • Analysis focused on small for gestational age (SGA) and large for gestational age (LGA) neonates.

Main Results:

  • Polycythemia was more prevalent in SGA infants compared to LGA and appropriate for gestational age (AGA) infants.
  • Transitioning from a high-altitude to a sea level curve in a sea level population identified previously missed infants with hypoglycemia and/or polycythemia.
  • No hypoglycemic LGA infants requiring screening were missed by this adjustment, unless already indicated for other reasons.

Conclusions:

  • For accurate screening of hypoglycemia and polycythemia in high-risk newborns (SGA and LGA), utilizing an altitude-appropriate fetal growth curve is essential.
  • Sea level growth curves are more effective for identifying at-risk infants in sea level nurseries.
  • Failure to use an appropriate curve can lead to missed diagnoses and delayed interventions.

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