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Validierung eines Modells zur Vorhersage des Sprachverstehens nach Cochleaimplantation

BACKGROUND: If sufficient speech discrimination is no longer achieved with conventional hearing systems, an audiological indication for a cochlear implant (CI) is given. However, there are no established target criteria for CI aftercare with regard to the level of speech comprehension to be achieved...

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Detalles Bibliográficos
Autores principales: Hoppe, Ulrich, Hast, Anne, Hocke, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Medizin 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10126073/
https://www.ncbi.nlm.nih.gov/pubmed/36943431
http://dx.doi.org/10.1007/s00106-023-01284-z
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author Hoppe, Ulrich
Hast, Anne
Hocke, Thomas
author_facet Hoppe, Ulrich
Hast, Anne
Hocke, Thomas
author_sort Hoppe, Ulrich
collection PubMed
description BACKGROUND: If sufficient speech discrimination is no longer achieved with conventional hearing systems, an audiological indication for a cochlear implant (CI) is given. However, there are no established target criteria for CI aftercare with regard to the level of speech comprehension to be achieved. The aim of this study is to validate an existing predictive model for speech comprehension after CI provision. This is applied to different patient groups. MATERIALS AND METHODS: The prospective study included 124 postlingually deaf adults. The model is based on preoperative maximum monosyllabic recognition score, aided monosyllabic recognition score at 65 dB(SPL), and age the time of implantation. The model was investigated with regard to prediction accuracy for monosyllabic recognition with CI after 6 months. RESULTS: Mean speech discrimination improved from 10% with hearing aid to 65% with CI after 6 months, with a statistically significant improvement in 93% of cases. Deterioration of aided unilateral speech discrimination was not observed. The mean prediction error was 11.5 percentage points in the cases with preoperative scores better than zero and 23.2 percentage points in all other cases. CONCLUSION: Cochlear implantation should also be considered in patients with moderately severe to severe hearing loss and insufficient speech discrimination with hearing aids. The model based on preoperatively measured data for predicting speech discrimination with CI can be used in preoperative consultation and in the context of postoperative quality assurance.
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spelling pubmed-101260732023-04-26 Validierung eines Modells zur Vorhersage des Sprachverstehens nach Cochleaimplantation Hoppe, Ulrich Hast, Anne Hocke, Thomas HNO Originalien BACKGROUND: If sufficient speech discrimination is no longer achieved with conventional hearing systems, an audiological indication for a cochlear implant (CI) is given. However, there are no established target criteria for CI aftercare with regard to the level of speech comprehension to be achieved. The aim of this study is to validate an existing predictive model for speech comprehension after CI provision. This is applied to different patient groups. MATERIALS AND METHODS: The prospective study included 124 postlingually deaf adults. The model is based on preoperative maximum monosyllabic recognition score, aided monosyllabic recognition score at 65 dB(SPL), and age the time of implantation. The model was investigated with regard to prediction accuracy for monosyllabic recognition with CI after 6 months. RESULTS: Mean speech discrimination improved from 10% with hearing aid to 65% with CI after 6 months, with a statistically significant improvement in 93% of cases. Deterioration of aided unilateral speech discrimination was not observed. The mean prediction error was 11.5 percentage points in the cases with preoperative scores better than zero and 23.2 percentage points in all other cases. CONCLUSION: Cochlear implantation should also be considered in patients with moderately severe to severe hearing loss and insufficient speech discrimination with hearing aids. The model based on preoperatively measured data for predicting speech discrimination with CI can be used in preoperative consultation and in the context of postoperative quality assurance. Springer Medizin 2023-03-21 2023 /pmc/articles/PMC10126073/ /pubmed/36943431 http://dx.doi.org/10.1007/s00106-023-01284-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access Dieser Artikel wird unter der Creative Commons Namensnennung 4.0 International Lizenz veröffentlicht, welche die Nutzung, Vervielfältigung, Bearbeitung, Verbreitung und Wiedergabe in jeglichem Medium und Format erlaubt, sofern Sie den/die ursprünglichen Autor(en) und die Quelle ordnungsgemäß nennen, einen Link zur Creative Commons Lizenz beifügen und angeben, ob Änderungen vorgenommen wurden. Die in diesem Artikel enthaltenen Bilder und sonstiges Drittmaterial unterliegen ebenfalls der genannten Creative Commons Lizenz, sofern sich aus der Abbildungslegende nichts anderes ergibt. Sofern das betreffende Material nicht unter der genannten Creative Commons Lizenz steht und die betreffende Handlung nicht nach gesetzlichen Vorschriften erlaubt ist, ist für die oben aufgeführten Weiterverwendungen des Materials die Einwilligung des jeweiligen Rechteinhabers einzuholen. Weitere Details zur Lizenz entnehmen Sie bitte der Lizenzinformation auf http://creativecommons.org/licenses/by/4.0/deed.de (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Originalien
Hoppe, Ulrich
Hast, Anne
Hocke, Thomas
Validierung eines Modells zur Vorhersage des Sprachverstehens nach Cochleaimplantation
title Validierung eines Modells zur Vorhersage des Sprachverstehens nach Cochleaimplantation
title_full Validierung eines Modells zur Vorhersage des Sprachverstehens nach Cochleaimplantation
title_fullStr Validierung eines Modells zur Vorhersage des Sprachverstehens nach Cochleaimplantation
title_full_unstemmed Validierung eines Modells zur Vorhersage des Sprachverstehens nach Cochleaimplantation
title_short Validierung eines Modells zur Vorhersage des Sprachverstehens nach Cochleaimplantation
title_sort validierung eines modells zur vorhersage des sprachverstehens nach cochleaimplantation
topic Originalien
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10126073/
https://www.ncbi.nlm.nih.gov/pubmed/36943431
http://dx.doi.org/10.1007/s00106-023-01284-z
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