A Predictive Model of Cochlear Implant Performance in Postlingually Deafened Adults
| Autor: | Sarah F. Poissant, Eva M. Bero, Rachel E. Roditi, Daniel Joseph Lee |
|---|---|
| Rok vydání: | 2009 |
| Předmět: |
Adult
Male medicine.medical_specialty Speech perception genetic structures Hearing loss medicine.medical_treatment Audiology Persons With Hearing Impairments Retrospective data Predictive Value of Tests Cochlear implant otorhinolaryngologic diseases medicine Humans Speech Hearing Loss Cochlear implantation Aged Retrospective Studies Aged 80 and over Models Statistical business.industry Retrospective cohort study Middle Aged Cochlear Implantation Sensory Systems Cochlear Implants Otorhinolaryngology Predictive value of tests Female sense organs Neurology (clinical) medicine.symptom business psychological phenomena and processes |
| Zdroj: | Otology & Neurotology. 30:449-454 |
| ISSN: | 1531-7129 |
| Popis: | To develop a predictive model of cochlear implant (CI) performance in postlingually deafened adults that includes contemporary speech perception testing and the hearing history of both ears.Retrospective clinical study. Multivariate predictors of speech perception after CI surgery included duration of any degree of hearing loss (HL), duration of severe-to-profound HL, age at implantation, and preoperative Hearing in Noise Test (HINT) sentences in quiet and HINT sentences in noise scores. Consonant-nucleus-consonant (CNC) scores served as the dependent variable. To develop the model, we performed a stepwise multiple regression analysis.Tertiary referral center.Adult patients with postlingual severe-to-profound HL who received a multichannel CI. Mean follow-up was 28 months. Fifty-five patients were included in the initial bivariate analysis.Multichannel cochlear implantation.Predicted and measured postoperative CNC scores.The regression analysis resulted in a model that accounted for 60% of the variance in postoperative CNC scores. The formula is (pred)CNC score = 76.05 + (-0.08 x DurHL(CI ear)) + (0.38 x pre-HINT sentences in quiet) + (0.04 x long sev-prof HL(either ear)). Duration of HL was in months. The mean difference between predicted and measured postoperative CNC scores was 1.7 percentage points (SD, 16.3).The University of Massachusetts CI formula uses HINT sentence scores and the hearing history of both ears to predict the variance in postoperative monosyllabic word scores. This model compares favorably with previous studies that relied on Central Institute for the Deaf sentence scores and uses patient data collected by most centers in the United States. |
| Databáze: | OpenAIRE |
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