The Role of Cognitive Evaluation in Predicting Successful Audiometric Testing among Children
Recommended Citation
Teplitzky TB, Angster K, Rosso LE, Ferruggiaro AR, Isaiah A, Pereira KD. The Role of Cognitive Evaluation in Predicting Successful Audiometric Testing among Children. Otolaryngol Head Neck Surg 2019; .
Document Type
Article
Publication Date
2-19-2019
Publication Title
Otolaryngol Head Neck Surg
Abstract
OBJECTIVE: To determine the role of cognitive testing in predicting age-appropriate audiometric responses among children aged 30 to 42 months.
STUDY DESIGN: Prospective.
SETTING: Tertiary care audiology clinic.
SUBJECTS AND METHODS: Subjects included primary English-speaking children aged 30 to 42 months. A certified pediatric audiologist performed the cognitive aspect of the Developmental Assessment of Young Children-Second Edition (DAYC-2). A second, blinded audiologist performed age-appropriate audiometry. The raw, age-equivalent, percentile, and standard DAYC-2 scores were compared by agreement between speech reception threshold (SRT) and pure tone average (PTA). Optimal DAYC-2 thresholds were also calculated for prediction of SRT-PTA agreement and assessed for sensitivity, specificity, and positive and negative predictive values. P < .05 was considered significant.
RESULTS: Complete data were obtained from 37 children. The mean age was 34.9 months (95% CI, 33.5-36.2), and 15 (41%) were female. Among the 37 children, 24 (65%) and 13 (35%) underwent visual reinforcement audiometry and conditioned play audiometry, respectively. SRT-PTA agreement was seen in 32 (87%) tests. Mean DAYC-2 raw score grouped by SRT-PTA agreement was 39.4 versus 33.4 for nonagreement (2.8-9.3, P < .001). The mean age-equivalent score grouped by SRT-PTA agreement was 29.6 versus 23.0 for nonagreement (2.7-10.6, P = .002). Optimal cut points based on DAYC-2 scores achieved moderate overall prediction performance (area under the curve, 0.73-0.77) with a positive predictive value of 100%.
CONCLUSION: The DAYC-2 is a useful screen to identify children likely to complete an age-appropriate audiogram.
PubMed ID
30776957
ePublication
ePub ahead of print