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84 Parent Ratings of Everyday Social, Emotional, and Behavioral Functioning in Children with Unilateral versus Bilateral Hearing Loss
- Samantha Hasenbalg, Rachel Landsman, Matthew Fasano-McCarron, Megan Herlihy, Peter K Isquith
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- Journal:
- Journal of the International Neuropsychological Society / Volume 29 / Issue s1 / November 2023
- Published online by Cambridge University Press:
- 21 December 2023, pp. 76-77
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Objective:
Reduced hearing is associated with increased risk for social, emotional, and behavioral difficulties. Studies to date have typically compared DHH children with their hearing peers without regard for unilateral hearing loss (UHL) versus bilateral hearing loss (BHL). Children with UHL are often perceived as more like their typically hearing peers than their peers with BHL. Children with UHL typically access sound and spoken language which facilitates their functioning with fewer supports (e.g., interpreters, captioning). These children, however, show cognitive, academic, and communication profiles more similar to children with BHL than typically hearing peers. They may also experience similar social, emotional, and behavioral challenges as their BHL peers. We examined social, emotional, and behavioral functioning in a clinically referred sample of children with UHL versus BHL.
Participants and Methods:Parents of 100 children aged 2 to 17 years (M=7.12) with either UHL (n=30) or BHL (n=70) completed the Behavioral Assessment System for Children, Third Edition (BASC-3) as part of neuropsychological evaluation in a Deaf and Hard of Hearing Program within a tertiary pediatric hospital. BASC-3 scores based on General Combined norms were compared to an expected distribution of typically developing hearing children using non-parametric one-sample tests. Profiles of scores for children with UHL and BHL were examined in a repeated measures MANOVA.
Results:The groups of children with UHL and BHL showed similar age, gender, race, ethnicity, and Area Deprivation Index compositions. Eighty four percent of BHL children communicated with spoken language, and 100% of UHL children communicated with spoken language (p=.02). There were similar rates of comorbid diagnoses for ADHD (20%), Anxiety/Depression (18%), Autism Spectrum Disorder (8%), and Intellectual Disability/Global Developmental Delay (9%). However, children with BHL tended to be at greater risk for Language Disorders (50%) than those with UHL (30%, = 3.41 p=.065). Together, children with hearing loss showed significantly higher scores on the BASC-3 Hyperactivity, Aggression, Attention Problems, Atypicality, and Withdrawal clinical scales than expected (One-Sample Kolmogorov-Smirnov Test; p<.01). Profile analysis showed that children with any type of hearing loss had a varied pattern of scores across scales (F(7,686)=4.33, p<.01), with highest scores on Hyperactivity and Attention Problems scales and lowest scores on Somatization. Scale profiles did not differ, however, between UHL and BHLgroups (p=.127).
Conclusions:Children with UHL have access to auditory input, typically enabling early language development more like their hearing peers compared to children with BHL. In turn, these children may be overlooked more so than their BHL peers. However, the likelihood of social, emotional, and behavioral difficulties is similar between the two groups of children with hearing loss, whether that is unilateral or bilateral. Our study showed both groups of children had similar profiles across BASC-3 scales with elevations relative to norms. Measuring these everyday functions in children with hearing loss is important for early detection of risks to promote early intervention.
4 Extending the 5P Clinical Decision Rule Predicting Concussion Recovery Using an Evidence-Based Assessment Model
- Dean R Allen, Peter K Isquith, Roger Zemek, Gerard A Gioia
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- Journal:
- Journal of the International Neuropsychological Society / Volume 29 / Issue s1 / November 2023
- Published online by Cambridge University Press:
- 21 December 2023, p. 603
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Objective:
Construction of predictive algorithms of concussion symptom recovery at 4 and 12 weeks post-injury using an evidence-based assessment (EBA) model to guide clinical decision-making, extending the 2016 5P decision rule.
Participants and Methods:Children and adolescents, ages 8-18 (n=1,551; mean age=12.78; 62% male), followed over 12 weeks in the prospective multicenter cohort study (Predicting Persistent Post-Concussive Problems in Pediatrics, 5P; Zemek et al., 2016). The age-specific PostConcussion Symptom Inventory (PCSI) (8-12, 17 items; 1318 years, 20 items) was completed at six timepoints from the ED and at 1, 2, 4, 8, and 12-weeks post-injury. Logistic regression analysis was applied to the set of key variables including the PCSI Total Retrospective-Adjusted PostInjury Difference (RAPID) scores, patient demographics and pre-injury history, and injury characteristics to predict participant recovery status (Recovered, Not Recovered) at the 4- and 12-week endpoints. The resulting recovery-predictive equations identified the significant sets of variables with symptom scores at four successive post-injury timepoints (ED, 1, 2, 4 weeks). Logistic Regression Threshold values were established at the 90th CI against which individual patient data was applied to determine recovery status. Participants with sub-threshold sums were deemed recovered at the target endpoint (4- or 12-weeks post-injury).
Results:A total of 19 predictive equations were generated for the two age groups across the recovery timeline. Four sets of equations were developed to predict symptom recovery status at 4-weeks post-injury for the two age groups (8-12 AUC=0.679-0.884; 13-18 AUC=0.752-0.909). Prediction of symptom recovery status at 12-weeks post-injury yielded six equations for the 8-12 age group (AUC=0.723-0.825), and five equations for the 13-18 age group (AUC=0.724-0.887). Total PCSI RAPID score was identified as a significant variable in each of these 19 equations. Participant sex was identified as significant in 18 of the 19 constructed equations. Other variables that were identified as significant at varying timepoints included age, pre-injury history of learning disability and migraines, and an early post-injury sign in the ED (answering questions more slowly than usual). Examples of the equations include: Week 1 predicting symptom recovery status at 4-weeks: 8-12 yr group-(Sex*.802)+(week 1 Total RAPID Score*.142)+(Age2* .053)+(-3.851) with AUC=0.808; 13-18 yr group-(Sex*.980)+(Week 1 Total RAPID Score*.071)+(-3.261) with AUC=0.861.
Conclusions:Clinicians’ management of the concussion recovery of children and adolescents can benefit from EBA guidance. The 5P dataset (Zemek et al., 2016) provides an important window into “typical” and “atypical” recovery trajectories, establishing an initial predictive decision rule for a 4-week recovery endpoint, at the ED timepoint only, reporting AUC=0.69. The current study extends the prediction modeling using successive post-injury timepoints reflecting a typical management timeline. Symptom reports from both 1- and 2-weeks post injury with patient demographics/ history predicted symptom recovery status at 4- and 12-weeks post-injury, significantly improve predictive accuracy over the ED timepoint alone. These predictive equations, when applied to the individual patient, can serve to assist the clinician’s understanding of the patients’ recovery trajectory, i.e., on track for a typical or atypical recovery, further informing the intervention strategy.