Dataset Information

Concise tool based on language milestones identifies children with specific language impairment at 24-45 months of age.

ABSTRACT:

Aim

This study aimed to develop a concise tool with acceptable predictive properties to identify young children with specific language impairment (SLI).

Methods

In this nested case-control study children with SLI attending two special needs schools for severe speech and language difficulties in the Netherlands were matched by date of birth and sex with control children attending mainstream education. This study analysed the predictive validity for having SLI at a mean age of eight years and three months (range 4-11 years) using combinations of six language milestones that were registered at 24, 36 and 45 months and retrieved from the children's healthcare files in 2012.

Results

We included 253 pairs of children with and without SLI. During a single visit, combinations of two milestones at one age achieved a specificity of at least 97% and sensitivities ranged from 32% to 64%. However, the concise tool, which combined five milestones at three different ages - 24, 36 and 45 months - had a specificity of 96% (95% confidence interval 94-99%) and a sensitivity of 71% (95% confidence interval 66-77%).

Conclusion

Combining milestones at different ages provided a concise tool that could help to detect children with SLI at a young age.

SUBMITTER: Diepeveen FB

PROVIDER: S-EPMC6282738 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature

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Publications

Concise tool based on language milestones identifies children with specific language impairment at 24-45 months of age.

Diepeveen F Babette FB van Dommelen Paula P Oudesluys-Murphy Anne Marie AM Verkerk Paul H PH

Acta paediatrica (Oslo, Norway : 1992) 20181017 12

<h4>Aim</h4>This study aimed to develop a concise tool with acceptable predictive properties to identify young children with specific language impairment (SLI).<h4>Methods</h4>In this nested case-control study children with SLI attending two special needs schools for severe speech and language difficulties in the Netherlands were matched by date of birth and sex with control children attending mainstream education. This study analysed the predictive validity for having SLI at a mean age of eight ...[more]

PMID: 30256455

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Project description:Neurocognitive impairment among children born preterm may arise from complex interactions between genes and the intra-uterine environment.(1) To characterize the transcriptomic profiles of chorioamniotic membranes in preterm neonates with and without neurocognitive impairment via microarrays and (2) to determine if neonates with neurocognitive impairment can be identified at birth.A retrospective case-control study was conducted to examine the chorioamniotic transcriptome of gestational-age matched very preterm neonates with and without neurocognitive impairment at 18-24 months' corrected-age defined by a Bayley-III Cognitive Composite Score <80 (n = 14 each). Pathway analysis with down-weighting of overlapping genes (PADOG) was performed to identify KEGG pathways relevant to the phenotype. Select differentially expressed genes were profiled using qRT-PCR and a multi-gene disease prediction model was developed using linear discriminant analysis. The model's predictive performance was tested on a new set of cases and controls (n = 19 each).1) 117 genes were differentially expressed among neonates with and without subsequent neurocognitive impairment (p<0.05 and fold change >1.5); 2) Gene ontology analysis indicated enrichment of 19 biological processes and 3 molecular functions; 3)PADOG identified 4 significantly perturbed KEGG pathways: oxidative phosphorylation, Parkinson's disease, Alzheimer's disease and Huntington's disease (q-value <0.1); 4) 48 of 90 selected differentially expressed genes were confirmed by qRT-PCR, including genes implicated in energy metabolism, neuronal signaling, vascular permeability and response to injury (e.g., up-regulation of SEPP1, APOE, DAB2, CD163, CXCL12, VWF; down-regulation of HAND1, OSR1)(p<0.05); and 5) a multi-gene model predicted 18-24 month neurocognitive impairment (using the ratios of OSR1/VWF and HAND1/VWF at birth) in a larger, independent set (sensitivity = 74%, at specificity = 83%).Gene expression patterns in the chorioamniotic membranes link neurocognitive impairment in preterm infants to neurodegenerative disease pathways and might be used to predict neurocognitive impairment. Further prospective studies are needed.

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Project description:Purpose We examined whether there were differences among speech-language profile groups of children with cerebral palsy (CP) in age of crossing 25%, 50%, and 75% intelligibility thresholds; age of greatest intelligibility growth; rate of intelligibility growth; maximum attained intelligibility at 8 years; and how well intelligibility at 36 months predicts intelligibility at 96 months when group membership is accounted for. Profile groups were children with no speech motor impairment (NSMI), those with speech motor impairment and language comprehension that is typically developing (SMI-LCT), and those with speech motor impairment and language comprehension impairment (SMI-LCI). Method Sixty-eight children with CP were followed longitudinally between 24 and 96 months of age. A total of 564 time points were examined across children (M = 8.3 time points per child, SD = 2.6). We fitted a nonlinear random effects model for longitudinal observations, allowing for differences between profile groups. We used the fitted model trajectories to generate descriptive analyses of intelligibility growth by group and to generate simulations to analyze how well 36-month intelligibility data predicted 96-month data accounting for profile groups. Results Children with CP who have NSMI have different growth and better intelligibility outcomes than those with speech motor impairment. Children with SMI-LCT tend to have better outcomes but similar intelligibility growth as children with SMI-LCI. There may be a subset of children that cut across SMI-LCI and SMI-LCT groups who have severe speech motor involvement and show limited growth in intelligibility. Conclusions Intelligibility outcomes for children with CP are affected by profile group membership. Intelligibility growth tends to be delayed in children with speech motor impairment. Intelligibility at 3 years is highly predictive of later outcomes regardless of profile group. Intervention decision making should include consideration of early intelligibility, and treatment directions should include consideration of augmentative and alternative communication.

Dataset Information

Concise tool based on language milestones identifies children with specific language impairment at 24-45 months of age.

Aim

Methods

Results

Conclusion

Publications

Concise tool based on language milestones identifies children with specific language impairment at 24-45 months of age.

Similar Datasets

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