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

Clin Otolaryngol. 2016 Oct;41(5):585-92. doi: 10.1111/coa.12571. Epub 2016 Feb 11.

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 study adds a new dimension to pre-existing literature.

Design: Single-centre retrospective cohort study.

Setting: University Medical Center Utrecht, the Netherlands.

Participants: A total of 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 were carried out to identify factors that may influence outcome after cochlear implantation. Consonant-vowel-consonant word scores were recorded pre- and post-implant and were used as outcome measure in two groups of patients (prelingually 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 (β 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 aetiology (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 technique when analysing incomplete data sets.

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Aged, 80 and over
  • Cochlear Implantation*
  • Female
  • Hearing Loss, Sensorineural / surgery*
  • Humans
  • Male
  • Middle Aged
  • Retrospective Studies
  • Speech Perception
  • Treatment Outcome