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:PurposeCaregiver-implemented interventions are frequently used to support the early communication of young children with language impairment. Although there are numerous studies and meta-analyses supporting their use, there is a need to better understand the intervention approaches and identify potential gaps in the research base. With that premise, we conducted a scoping review to synthesize existing data with an end goal of informing future research directions.MethodWe identified relevant studies by comprehensively searching four databases. After deduplication, we screened 5,703 studies. We required included studies (N = 59) to evaluate caregiver-implemented communication interventions and include at least one caregiver communication outcome measure. We extracted information related to the (a) study, child, and caregiver characteristics; (b) intervention components (e.g., strategies taught, delivery method and format, and dosage); and (c) caregiver and child outcome measures (e.g., type, quality, and level of evidence).ResultsWe synthesized results by age group of the child participants. There were no studies with children in the prenatal through 11-month-old age range identified in our review that yielded a caregiver language outcome measure with promising or compelling evidence. For the 12- through 23-month group, there were seven studies, which included eight communication intervention groups; for the 24- through 35-month group, there were 21 studies, which included 26 intervention groups; and for the 36- through 48-month group, there were 21 studies, which included 23 intervention groups. Across studies and age groups, there was considerable variability in the reporting of study characteristics, intervention approaches, and outcome measures.ConclusionOur scoping review highlights important research gaps and inconsistencies in study reporting that should be addressed in future investigations.Supplemental materialhttps://doi.org/10.23641/asha.20289195.

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.

Project description:Approximately 4% of English-speaking children are affected by specific language impairment (SLI), a disorder in the development of language skills despite adequate opportunity and normal intelligence. Several studies have indicated the importance of genetic factors in SLI; a positive family history confers an increased risk of development, and concordance in monozygotic twins consistently exceeds that in dizygotic twins. However, like many behavioral traits, SLI is assumed to be genetically complex, with several loci contributing to the overall risk. We have compiled 98 families drawn from epidemiological and clinical populations, all with probands whose standard language scores fall > or =1.5 SD below the mean for their age. Systematic genomewide quantitative-trait-locus analysis of three language-related measures (i.e., the Clinical Evaluation of Language Fundamentals-Revised [CELF-R] receptive and expressive scales and the nonword repetition [NWR] test) yielded two regions, one on chromosome 16 and one on 19, that both had maximum LOD scores of 3.55. Simulations suggest that, of these two multipoint results, the NWR linkage to chromosome 16q is the most significant, with empirical P values reaching 10(-5), under both Haseman-Elston (HE) analysis (LOD score 3.55; P=.00003) and variance-components (VC) analysis (LOD score 2.57; P=.00008). Single-point analyses provided further support for involvement of this locus, with three markers, under the peak of linkage, yielding LOD scores >1.9. The 19q locus was linked to the CELF-R expressive-language score and exceeds the threshold for suggestive linkage under all types of analysis performed-multipoint HE analysis (LOD score 3.55; empirical P=.00004) and VC (LOD score 2.84; empirical P=.00027) and single-point HE analysis (LOD score 2.49) and VC (LOD score 2.22). Furthermore, both the clinical and epidemiological samples showed independent evidence of linkage on both chromosome 16q and chromosome 19q, indicating that these may represent universally important loci in SLI and, thus, general risk factors for language impairment.

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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