Growth charts in Cockayne syndrome type 1 and type 2

Sarah Baer1, Nicolas Tuzin2, Peter B Kang3

  • 1Service de Pédiatrie 1, Hôpital de Hautepierre, Hôpitaux Universitaires de Strasbourg, Strasbourg, France.

Insights

New growth charts for Cockayne syndrome (CS) patients show distinct growth patterns. These charts aid in managing nutritional challenges and medical complications in children with CS1 and CS2 subtypes.

Area of Science:

  • Genetics and Developmental Biology
  • Pediatric Endocrinology
  • Medical Informatics

Background:

  • Cockayne syndrome (CS) is a severe multisystem degenerative disorder with subtypes CS1, CS2, and CS3.
  • Growth difficulties and failure to thrive are consistent features of CS, necessitating specialized monitoring.
  • Existing growth charts do not adequately represent the unique growth trajectories of CS patients.

Purpose of the Study:

  • To develop specific growth charts for Cockayne syndrome (CS) patients.
  • To provide a tool for improved nutritional management and monitoring of CS-affected children.
  • To differentiate growth patterns between CS1 and CS2 subtypes.

Main Methods:

  • Retrospective collection of growth parameters from 88 genetically-confirmed CS1 and CS2 patients.
  • Utilized the GAMLSS package for statistical analysis and growth chart construction.
  • Compared CS patient data against WHO and CDC healthy child growth databases.

Main Results:

  • Developed specific growth charts for CS1 and CS2, revealing distinct growth patterns.
  • CS1 patients show normal initial growth, with microcephaly emerging around 2 months and growth restrictions between 5-22 months.
  • CS2 patients exhibit growth parameters below standard at birth or by 3 months, with microcephaly present at birth.

Conclusions:

  • New growth charts provide a vital tool for the nutritional management of children with Cockayne syndrome.
  • Height and head circumference are more severely impacted in CS2 compared to CS1.
  • These charts will enhance clinical care by enabling precise monitoring of CS patient growth trajectories.