Factors that influence outcomes in cochlear implantation in adults, based on patient related characteristics - a retrospective study

Véronique J C Kraaijenga, Adriana L Smit, Inge Stegeman, Jeanet J M Smilde, G A van Zanten, Wilko Grolman

Research output: Contribution to journalArticleAcademicpeer-review

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 languageEnglish
Pages (from-to) 585–592
JournalClinical Otolaryngology
Volume41
Issue number5
DOIs
Publication statusPublished - Oct 2016

Fingerprint

Dive into the research topics of 'Factors that influence outcomes in cochlear implantation in adults, based on patient related characteristics - a retrospective study'. Together they form a unique fingerprint.

Cite this