Pituitary Dysfunction in Pediatric Patients with Optic Nerve Hypoplasia: A Retrospective Cohort Study (1975-2014)

Naseem Alyahyawi1,2, Keira Dheensaw1, Nazrul Islam3,4

  • 1Department of Pediatrics, University of British Columbia, Vancouver, British Columbia, Canada.

Insights

Pituitary hormone dysfunction (PHD) affects nearly half of children with optic nerve hypoplasia (ONH). Key predictors include blindness, pituitary abnormalities, and maternal substance abuse, guiding hormone testing needs.

Area of Science:

  • Pediatric Endocrinology
  • Neuro-ophthalmology
  • Developmental Pediatrics

Background:

  • Optic nerve hypoplasia (ONH) is a congenital condition that can lead to various developmental issues.
  • Pituitary hormone dysfunction (PHD) is a common complication in children with ONH, but its risk factors are not fully understood.
  • Early identification of PHD is crucial for timely intervention and management in affected children.

Purpose of the Study:

  • To determine the incidence and timing of pituitary hormone dysfunction (PHD) in children diagnosed with optic nerve hypoplasia (ONH).
  • To identify significant predictors and risk factors associated with the development of PHD in this pediatric population.
  • To provide data that can inform clinical decision-making regarding hormone testing in ONH patients.

Main Methods:

  • Retrospective review of 144 pediatric patient charts with ONH.
  • Calculation of PHD incidence rates using a Poisson distribution.
  • Multivariable Cox proportional hazards modeling to identify predictors of PHD.

Main Results:

  • Nearly half (49.3%) of ONH patients developed PHD over a median follow-up of 2.88 months.
  • The incidence of PHD was 11.55 per 100 person-years.
  • Significant predictors included blindness, abnormal posterior pituitary, hypoplastic/absent anterior pituitary, prematurity, and maternal substance abuse.

Conclusions:

  • Blindness, pituitary gland abnormalities, and maternal substance abuse are key clinical predictors of PHD in children with ONH.
  • These identified predictors can aid clinicians in determining the necessity and frequency of hormone testing.
  • This research supports personalized monitoring strategies for pediatric ONH patients at high risk for endocrine complications.
Abstract