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Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale
Published on: August 25, 2014
Profiles of developmental disorder and associations with gestational age
Katherine Jane Pettinger1, Sarah Louise Blower2, Elaine M Boyle3
1Department of Health Sciences, University of York, York, UK katherinepettinger@gmail.com.
Insights
Premature birth is linked to specific developmental disorder profiles in children. Early developmental impairment and educational difficulties were associated with earlier gestational ages, aiding in prompt diagnosis and family support.
Area of Science:
- Pediatric developmental disorders
- Perinatal epidemiology
- Child health outcomes
Background:
- Developmental disorders encompass a range of conditions affecting children's development.
- Understanding co-occurrence patterns is crucial for accurate diagnosis and intervention.
- Gestational age is a known risk factor for various adverse child health outcomes.
Purpose of the Study:
- To identify distinct profiles of co-occurring developmental disorders in children.
- To investigate the association between preterm birth and these developmental disorder profiles.
- To inform targeted support and early intervention strategies for at-risk children.
Main Methods:
- Latent class analysis was performed on linked health data from a large birth cohort.
- 13,172 children were analyzed, with data censored at age 12.
- Multinomial logistic regression assessed associations with gestational age, controlling for covariates.
Main Results:
- Four developmental disorder profiles were identified: typical development, educational difficulties, social/emotional/behavioral/communication difficulties, and early developmental impairment with physical/intellectual disabilities.
- Very preterm birth (<32 weeks) significantly increased the risk of early developmental impairment (aRRR: 9.22).
- Birth before full term, including up to 37-38 weeks, was associated with increased risk of educational difficulties (aRRR: 1.41 at 37-38 weeks).
Conclusions:
- Gestational age is a significant factor associated with specific profiles of developmental disorders.
- Identifying these profiles can enhance diagnostic accuracy and family counseling.
- Early identification of risk based on gestational age can facilitate timely interventions.
Objective:
This study aimed to examine profiles of co-occurrence of developmental disorders and their association with birth before full term.
Design:
Latent class analysis of cohort data with linked health data.
Setting:
Bradford, England.
Patients:
13 172 children were included in the analysis.
Outcome Measures:
Developmental disorder in medical records.
Methods:
Data were censored at each child's 12th birthday. The latent class analysis identified patterns of developmental disorders. Multinomial logistic regression explored the association with gestational age while adjusting for clinical and socio-factors.
Results:
The majority (12,536) had a low risk of developmental disorders; this group was named 'typical development'. The remaining children were classified into three groups: 'educational difficulties' (347 children); 'social, emotional, behavioural and communication difficulties' (189 children) and 'early developmental impairment, with physical and intellectual disabilities' (100 children).Compared with 'typical development', very preterm birth was associated with an increased likelihood of being in the 'early developmental impairment, with physical and intellectual disabilities' group, adjusted relative risk ratio (aRRR): 9.22 (95% CI 4.58 to 18.55). Birth before full term was associated with increased likelihood of being in the 'educational difficulties' group; risk was highest <34 weeks (aRRR: 2.64 (95% CI 1.44 to 4.83)) but persisted up to 37-38 weeks: aRRR: 1.41 (95% CI 1.10 to 1.81). There was no association between gestational age and the 'social, emotional, behavioural and communication difficulties'' group.
Conclusion:
Four distinct profiles of developmental disorders were identified; gestational age was associated with two of these. Understanding which disorders children are most at risk of and how these co-occur can help provide accurate information to families and contribute to prompt diagnosis.
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