Diagnostic value of preoperative measures in selecting post-lingually deafened candidates for cochlear implantation – a different approach.
Autor: | van der Straaten, Tirza F. K., Burger, Anouk V. M., Briaire, Jeroen J., Boermans, Peter Paul B. M., Vickers, Deborah, Frijns, Johan H. M. |
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Předmět: |
COCHLEAR implants
SPEECH perception DEAFNESS PREOPERATIVE period PATIENT selection NOISE HEARING aids RETROSPECTIVE studies TERTIARY care TREATMENT effectiveness ELIGIBILITY (Social aspects) RESEARCH funding AUDIOMETRY DESCRIPTIVE statistics RECEIVER operating characteristic curves LONGITUDINAL method |
Zdroj: | International Journal of Audiology; Oct2023, Vol. 62 Issue 10, p983-991, 9p, 1 Chart, 1 Graph |
Abstrakt: | We examined which preoperative diagnostic measure is most suited to serve as a selection criterion to determine adult cochlear implantation (CI) candidacy. Preoperative diagnostic measures included pure tone audiometry (PTA; 0.5, 1, 2, 4 kHz), speech perception tests (SPT) unaided with headphones and with best-aided hearing aids (in quiet and in noise). Gain in speech perception was used as outcome measure. Performance of preoperative measures was analysed using the area under the curve (AUC) of receiver operating characteristic (ROC) curves. This retrospective longitudinal cohort study included 552 post-lingually deafened adults with CI in a tertiary referral centre in the Netherlands. Best-aided SPT in quiet was the most accurate in defining which CI candidates improved their speech perception in quiet postoperatively. For an improvement in speech perception in noise, the best-aided SPT in noise was the most accurate in defining which adult would benefit from CI. PTA measures performed lower compared to the SPT measures. SPT is better than PTA for selecting CI candidates who will benefit in terms of speech perception. Best-aided SPT in noise was the most accurate for indicating an improvement of speech perception in noise but was only evaluated in high performers with residual hearing. These insights will assist in formulating more effective selection criteria for CI. [ABSTRACT FROM AUTHOR] |
Databáze: | Complementary Index |
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