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Do Bayley-III Composite Scores at 18-22 Months Corrected Age Predict Full-Scale IQ at 6-7 Years in Children Born
Jean Lowe1, Carla M Bann2, Allison G Dempsey3
1Department of Pediatrics, University of New Mexico Health Sciences Center, Albuquerque, NM.
Insights
Bayley-III cognitive and language scores in extremely preterm infants show mild correlation with later IQ. While useful for identifying at-risk children, these scores may misclassify those not delayed at school age.
Area of Science:
- Neuroscience
- Developmental Pediatrics
- Cognitive Psychology
Background:
- Extremely preterm infants face risks for neurodevelopmental delays.
- Early cognitive and language assessments are crucial for identifying at-risk children.
- The Bayley Scales of Infant Development, Third Edition (Bayley-III) is a common tool for assessing early development.
Purpose of the Study:
- To evaluate the predictive ability of Bayley-III cognitive and language composite scores at 18-22 months corrected age for WISC-IV Full Scale IQ (FSIQ) at 6-7 years.
- To determine if Bayley-III scores can accurately identify extremely preterm infants at risk for later cognitive deficits.
Main Methods:
- A cohort of extremely preterm infants (24-27 weeks gestational age) was studied.
- Bayley-III cognitive and language scores were collected at 18-22 months corrected age.
- WISC-IV FSIQ was assessed at 6-7 years. Scores were analyzed using Pearson correlations and linear mixed-effects regression, adjusting for medical and socioeconomic factors.
Main Results:
- Bayley-III cognitive (r=0.33) and language (r=0.44) scores showed mild correlations with WISC-IV FSIQ.
- Among children with Bayley-III cognitive scores <70, 67% had WISC-IV FSIQ <70.
- A Bayley-III cognitive cut-off of 92 yielded sensitivity of 0.60 and specificity of 0.64; a language cut-off of 88 yielded sensitivity of 0.61 and specificity of 0.70.
Conclusions:
- Bayley-III scores correlate with later IQ but may not reliably predict delay or accurately classify children without delay.
- The Bayley-III is a valuable tool for identifying extremely preterm infants with below-average cognitive scores who may be at high risk for persistent cognitive difficulties.
- Careful interpretation is needed, especially for children with scores in the average range, to avoid misclassification of cognitive status at school age.
Objective:
To determine the ability of the Bayley-III cognitive and language composite scores at 18-22 months corrected age to predict WISC-IV Full Scale IQ (FSIQ) at 6-7 years in infants born extremely preterm.
Study Design:
Children in this study were part of the Neuroimaging and Neurodevelopmental Outcome cohort, a secondary study to the SUPPORT trial and born 240/7-276/7 weeks gestational age. Bayley-III cognitive and language scores and WISC-IV FSIQ were compared with pairwise Pearson correlation coefficients and adjusted for medical and socioeconomic variables using linear mixed effect regression models.
Results:
Bayley-III cognitive (r = 0.33) and language scores (r = 0.44) were mildly correlated with WISC-IV FSIQ score. Of the children with Bayley-III cognitive scores of <70, 67% also had FSIQ of <70. There was less consistency for children with Bayley-III scores in the 85-100 range; 43% had an FSIQ of <85 and 10% an FSIQ of <70. Among those with Bayley-III language scores >100, approximately 1 in 5 had an FSIQ of <85. A cut point of 92 for the cognitive composite score resulted in sensitivity (0.60), specificity (0.64). A cut point of 88 for the language composite score produced sensitivity (0.61), specificity (0.70).
Conclusions:
Findings indicate the Bayley-III cognitive and language scores correlate with later IQ, but may fail to predict delay or misclassify children who are not delayed at school age. The Bayley-III can be a useful tool to help identify children born extremely preterm who have below average cognitive scores and may be at the greatest risk for ongoing cognitive difficulties.
Trial Registration:
Extended Follow-up at School Age for the SUPPORT Neuroimaging and Neurodevelopmental Outcomes (NEURO) Cohort: NCT00233324.
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