Clinical and laboratory evaluation of children with congenital hyperinsulinism: a single center experience

Semra Gundogdu1, Mustafa Ciftci2, Enver Atay2

  • 1Department of Neonatalogy, Istanbul Medipol University, School of Medicine, Istanbul, Turkey.

Insights

Congenital hyperinsulinism (CHI) presents heterogeneously, but a high spontaneous remission rate (66%) is observed, even in severe cases. Genetic analysis and imaging aid in understanding outcomes for hyperinsulinemic hypoglycemia.

Area of Science:

  • Pediatric Endocrinology
  • Metabolic Disorders
  • Genetics

Background:

  • Congenital hyperinsulinism (CHI) is a rare cause of persistent hyperinsulinemic hypoglycemia.
  • Understanding the clinical, genetic, and radiological features is crucial for management.
  • Heterogeneity in presentation and response to treatment necessitates individualized care.

Purpose of the Study:

  • To evaluate clinical, laboratory, radiological, and molecular genetic data of patients with hyperinsulinism.
  • To present findings on treatment modalities and outcomes in a cohort of CHI patients.
  • To explore factors associated with spontaneous remission in hyperinsulinemic hypoglycemia.

Main Methods:

  • Retrospective analysis of 9 patients with congenital hyperinsulinism.
  • Data collection included demographics, clinical presentation, biochemical levels, treatment response, genetic analysis, and 18F-DOPA PET imaging.
  • Analysis of KATP channel mutations and diazoxide responsiveness.

Main Results:

  • KATP channel mutations were found in 55% of patients, with 55% unresponsive to diazoxide.
  • 18F-DOPA PET identified focal lesions in 3 of 4 diazoxide-unresponsive patients.
  • A high spontaneous remission rate of 66% was observed, including in diazoxide-unresponsive and focal lesion cases.

Conclusions:

  • Congenital hyperinsulinism exhibits a heterogeneous clinical presentation.
  • Spontaneous remission is common, even in severe cases, highlighting the need for predictive markers.
  • Comprehensive clinical and genetic data are vital for guiding the management of hyperinsulinemic hypoglycemia.
Abstract