Laboratory tests and measurements in children born small for gestational age (SGA)

Caterina Geremia1, Stefano Cianfarani

  • 1Rina Balducci Center of Pediatric Endocrinology, Department of Public Health and Cell Biology, Room E-178, Tor Vergata University, Via Montpellier 1, 00133, Rome, Italy.

Insights

Children born small for gestational age (SGA) face higher risks for adult metabolic diseases. Monitoring is recommended for SGA children with genetic predispositions to enable early intervention and reduce cardiovascular risk.

Area of Science:

  • Pediatrics
  • Endocrinology
  • Metabolic Health

Background:

  • Children born small for gestational age (SGA) are at increased risk for adult metabolic disorders like insulin resistance, type 2 diabetes, hyperlipidemia, hypertension, and cardiovascular disease.
  • A significant portion of SGA children (approximately 10%) also experience suboptimal adult height attainment.
  • Subtle endocrine and metabolic abnormalities are observed in SGA children across prepubertal, pubertal, and adolescent stages, potentially preceding overt adult disease.

Purpose of the Study:

  • To evaluate markers of metabolic disease in children born small for gestational age (SGA).
  • To assess the prevalence of endocrine and metabolic abnormalities in SGA subjects during different developmental stages.
  • To determine the necessity for systematic monitoring of specific axes and metabolic parameters in SGA children.

Main Methods:

  • Review of studies assessing metabolic disease markers in prepubertal, pubertal, and adolescent SGA children.
  • Evaluation of endocrine and metabolic abnormalities.
  • Analysis of data on growth, insulin sensitivity, glucose homeostasis, and lipid metabolism.

Main Results:

  • Studies indicate a higher prevalence of subtle endocrine and metabolic abnormalities in SGA children.
  • These abnormalities may precede the development of overt metabolic diseases in adulthood.
  • Current data are inconclusive regarding the need for systematic, close monitoring of all SGA children.

Conclusions:

  • Systematic monitoring of GH-IGF, HPA, and HPG axes, insulin sensitivity, glucose homeostasis, and lipid metabolism is not conclusively supported for all SGA children.
  • Monitoring should likely be reserved for SGA children with a genetic predisposition to type 2 diabetes and hyperlipidemia.
  • Early identification of metabolic alterations in at-risk SGA children can prompt preventive interventions, potentially reducing cardiovascular risk.