Data logging variables and speech perception in prelingually deafened pediatric cochlear implant users

Abstract

ObjectivesTo investigate the relationship among objectively gathered data logging measurements, patient-related variables, and speech recognition performance of pediatric CI users. Methods and materialsThirty-two prelingually implanted children who have the ability to perform word discrimination test were included in this study. To reveal the relationship between speech perception abilities and auditory exposure, seven data logging variables were analyzed: “on-air,” “off-air,” “coil-off,” “speech,” “speech in noise,” “music” and “noise. In addition, implantation age (months) and CI usage duration (months) were taken into account. Finally, it was investigated the differences between unilateral, sequential bilateral, and simultaneous bilateral CI users in terms of all study variables. ResultsThe average on-air time ranged between 10.52 and 12.30 in the groups. In the case of sequential implantation, smaller on-air and higher coil off values were observed with the second CI. In the case of simultaneous bilateral implantation, data logging measurements were almost the same in both implants. WRS was significantly correlated (p < 0.05) with on-air time (r = 0.62), coil-off count (r = −0.48), chronological age (r = 0.48), and CI duration (r = 0.44). Multiple linear regression model was fit to predict the WRS, with on-air time, CI duration, and chronological age as predictors. ConclusionsThe critical importance of early intervention and long-term use of CI is well-established in the literature and is also corroborated by our findings. However, the key findings of the present study are that consistent CI use and the quality of daily listening environment also exerted a major and positive effect on the speech recognition performance of pediatric CI users. Therefore, during the monitoring of pediatric CI recipients, it is important to know the device usage data in order to detect problems in the early stages after CI.