Abstract
OBJECTIVE: Outcomes in speech perception following cochlear implantation in adults vary widely. Many studies have been carried out to identify and quantify factors that influence outcomes. This paper adds a new dimension to pre-existing literature.
DESIGN: Single center retrospective cohort study.
SETTING: University Medical Center Utrecht, The Netherlands.
PARTICIPANTS: 428 adults with bilateral severe-to-profound sensorineural hearing loss, unilaterally implanted between February 1988 and March 2014.
MAIN OUTCOME MEASURES: Univariable and multivariable linear regression analyses was carried out to identify factors that may influence outcomes from cochlear implantation. Consonant-vowel-consonant' word scores (CNCs) were recorded pre- and post-implant and were used as outcome measures in two groups of patients (pre- and postlingually deafened adults). As an added dimension, multiple imputation was implemented and evaluated to tackle 4% (17/407) missing data.
RESULTS: For postlinguals, pre-implant speech perception score and age at onset of deafness are positive predictors and meningitis and otosclerosis as cause of deafness are negative predictors of post-implant speech perception. This model accounted for 26% of variance. For prelinguals, pre-implant speech perception score is the only strong positive predictor (Beta 0.524; p<0.001). This model accounted for 31% of variance. Age at implantation was not a significant predictor in either group.
CONCLUSIONS: Speech perception is predicted by pre-implant speech perception, age at onset of deafness and etiology (meningitis and otosclerosis) for postlinguals and solely pre-implant speech perception for prelinguals. Age at implantation is of lesser importance in predicting speech perception outcome post-implant. Multiple imputation is a useful statistical techniques when analysing incomplete data sets. This article is protected by copyright. All rights reserved.
Original language | English |
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Pages (from-to) | 585–592 |
Journal | Clinical Otolaryngology |
Volume | 41 |
Issue number | 5 |
DOIs | |
Publication status | Published - Oct 2016 |