Neurodevelopmental Follow-Up of Children Born to Mothers with Graves’ Disease and Neonatal Hyperthyroidism
Authors' conclusion
These findings suggest neonatal hyperthyroidism might lead to subtle neurodevelopmental variations, with socio-economic elements and family dynamics possibly intensifying these effects. While most children did not show severe impairments, early detection and intervention are recommended. The research emphasizes the necessity for inclusive care approaches that consider socio-economic factors for children affected by neonatal hyperthyroidism.
Study context
- Population
- Neonates with hyperthyroidism from mothers with Graves' disease (GD), Royal Children's Hospital, Melbourne10 consented
- Participants
- 21 neonates
- Exposure
- Children with neonatal hyperthyroidism born to mothers with GD vs community controls
- Patientsn = 10
- Outcome
- Social difficulties (SCQ score)
Methodological detailssingle-centre, questionnaire-based, community controls
- Single-centre
- Questionnaire-based
- Community controls
Main finding
As reported in the abstract
Patients
12.1
± 2.5
Controls
6
± 1.07
P = 0.008
Observational data: associations, not effects.
Further findings
| Outcome | Patients | Controls | P value |
|---|---|---|---|
| Behavioural difficulties (SDQ score)More behavioural difficulties in patients | 10.2 ± 2.17 | 6.14 ± 1.03 | P = 0.03 |
- Parental university-level education · higher proportion in control parents
- P = 0.003
Executive function (BRIEF)
- Increased executive function challenges in patients (problem-solving and self-regulation difficulties)
Participants vs non-participants
- No significant demographic or clinical differences between participants (n = 10) and non-participants (n = 11)
Socio-demographic factors
- Significant effects of family living situation and partner education level on neurodevelopmental measures
Original publication
Neurodevelopmental Follow-Up of Children Born to Mothers with Graves’ Disease and Neonatal Hyperthyroidism. Horm Res Paediatr. Published 8 May 2024. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →