Validation of the acoustic change complex (ACC) prediction model to predict speech perception in noise in adult patients with hearing loss: a study protocol
Abstract Background Speech perception tests are essential to measure the functional use of hearing and to determine the effectiveness of hearing aids and implantable auditory devices. However, these language-based tests require active participation and are influenced by linguistic and neurocognitive...
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| Format: | Article |
| Language: | English |
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BMC
2024-01-01
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| Series: | Diagnostic and Prognostic Research |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s41512-024-00164-6 |
| _version_ | 1797276180851720192 |
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| author | Lana Biot Laura Jacxsens Emilie Cardon Huib Versnel Koenraad S. Rhebergen Ralf A. Boerboom Annick Gilles Vincent Van Rompaey Marc J. W. Lammers |
| author_facet | Lana Biot Laura Jacxsens Emilie Cardon Huib Versnel Koenraad S. Rhebergen Ralf A. Boerboom Annick Gilles Vincent Van Rompaey Marc J. W. Lammers |
| author_sort | Lana Biot |
| collection | DOAJ |
| description | Abstract Background Speech perception tests are essential to measure the functional use of hearing and to determine the effectiveness of hearing aids and implantable auditory devices. However, these language-based tests require active participation and are influenced by linguistic and neurocognitive skills limiting their use in patients with insufficient language proficiency, cognitive impairment, or in children. We recently developed a non-attentive and objective speech perception prediction model: the Acoustic Change Complex (ACC) prediction model. The ACC prediction model uses electroencephalography to measure alterations in cortical auditory activity caused by frequency changes. The aim is to validate this model in a large-scale external validation study in adult patients with varying degrees of sensorineural hearing loss (SNHL) to confirm the high predictive value of the ACC model and to assess its test–retest reliability. Methods A total of 80 participants, aged 18–65 years, will be enrolled in the study. The categories of severity of hearing loss will be used as a blocking factor to establish an equal distribution of patients with various degrees of sensorineural hearing loss. During the first visit, pure tone audiometry, speech in noise tests, a phoneme discrimination test, and the first ACC measurement will be performed. During the second visit (after 1–4 weeks), the same ACC measurement will be performed to assess the test–retest reliability. The acoustic change stimuli for ACC measurements consist of a reference tone with a base frequency of 1000, 2000, or 4000 Hz with a duration of 3000 ms, gliding to a 300-ms target tone with a frequency that is 12% higher than the base frequency. The primary outcome measures are (1) the level of agreement between the predicted speech reception threshold (SRT) and the behavioral SRT, and (2) the level of agreement between the SRT calculated by the first ACC measurement and the SRT of the second ACC measurement. Level of agreement will be assessed with Bland–Altman plots. Discussion Previous studies by our group have shown the high predictive value of the ACC model. The successful validation of this model as an effective and reliable biomarker of speech perception will directly benefit the general population, as it will increase the accuracy of hearing evaluations and improve access to adequate hearing rehabilitation. |
| first_indexed | 2024-03-07T15:24:40Z |
| format | Article |
| id | doaj.art-41eb0cda053149ff9f85899f54db6984 |
| institution | Directory Open Access Journal |
| issn | 2397-7523 |
| language | English |
| last_indexed | 2024-03-07T15:24:40Z |
| publishDate | 2024-01-01 |
| publisher | BMC |
| record_format | Article |
| series | Diagnostic and Prognostic Research |
| spelling | doaj.art-41eb0cda053149ff9f85899f54db69842024-03-05T17:08:58ZengBMCDiagnostic and Prognostic Research2397-75232024-01-01811610.1186/s41512-024-00164-6Validation of the acoustic change complex (ACC) prediction model to predict speech perception in noise in adult patients with hearing loss: a study protocolLana Biot0Laura Jacxsens1Emilie Cardon2Huib Versnel3Koenraad S. Rhebergen4Ralf A. Boerboom5Annick Gilles6Vincent Van Rompaey7Marc J. W. Lammers8Resonant labs Antwerp, Department of Translational Neurosciences, Faculty of Medicine and Health Sciences, University of AntwerpResonant labs Antwerp, Department of Translational Neurosciences, Faculty of Medicine and Health Sciences, University of AntwerpResonant labs Antwerp, Department of Translational Neurosciences, Faculty of Medicine and Health Sciences, University of AntwerpDepartment of Otorhinolaryngology and Head & Neck Surgery, University Medical Center Utrecht, Utrecht UniversityDepartment of Otorhinolaryngology and Head & Neck Surgery, University Medical Center Utrecht, Utrecht UniversityDepartment of Otorhinolaryngology and Head & Neck Surgery, University Medical Center Utrecht, Utrecht UniversityResonant labs Antwerp, Department of Translational Neurosciences, Faculty of Medicine and Health Sciences, University of AntwerpResonant labs Antwerp, Department of Translational Neurosciences, Faculty of Medicine and Health Sciences, University of AntwerpResonant labs Antwerp, Department of Translational Neurosciences, Faculty of Medicine and Health Sciences, University of AntwerpAbstract Background Speech perception tests are essential to measure the functional use of hearing and to determine the effectiveness of hearing aids and implantable auditory devices. However, these language-based tests require active participation and are influenced by linguistic and neurocognitive skills limiting their use in patients with insufficient language proficiency, cognitive impairment, or in children. We recently developed a non-attentive and objective speech perception prediction model: the Acoustic Change Complex (ACC) prediction model. The ACC prediction model uses electroencephalography to measure alterations in cortical auditory activity caused by frequency changes. The aim is to validate this model in a large-scale external validation study in adult patients with varying degrees of sensorineural hearing loss (SNHL) to confirm the high predictive value of the ACC model and to assess its test–retest reliability. Methods A total of 80 participants, aged 18–65 years, will be enrolled in the study. The categories of severity of hearing loss will be used as a blocking factor to establish an equal distribution of patients with various degrees of sensorineural hearing loss. During the first visit, pure tone audiometry, speech in noise tests, a phoneme discrimination test, and the first ACC measurement will be performed. During the second visit (after 1–4 weeks), the same ACC measurement will be performed to assess the test–retest reliability. The acoustic change stimuli for ACC measurements consist of a reference tone with a base frequency of 1000, 2000, or 4000 Hz with a duration of 3000 ms, gliding to a 300-ms target tone with a frequency that is 12% higher than the base frequency. The primary outcome measures are (1) the level of agreement between the predicted speech reception threshold (SRT) and the behavioral SRT, and (2) the level of agreement between the SRT calculated by the first ACC measurement and the SRT of the second ACC measurement. Level of agreement will be assessed with Bland–Altman plots. Discussion Previous studies by our group have shown the high predictive value of the ACC model. The successful validation of this model as an effective and reliable biomarker of speech perception will directly benefit the general population, as it will increase the accuracy of hearing evaluations and improve access to adequate hearing rehabilitation.https://doi.org/10.1186/s41512-024-00164-6Hearing lossHearing impairmentSpeech perceptionSpeech in noiseBiomarkerAcoustic change complex |
| spellingShingle | Lana Biot Laura Jacxsens Emilie Cardon Huib Versnel Koenraad S. Rhebergen Ralf A. Boerboom Annick Gilles Vincent Van Rompaey Marc J. W. Lammers Validation of the acoustic change complex (ACC) prediction model to predict speech perception in noise in adult patients with hearing loss: a study protocol Diagnostic and Prognostic Research Hearing loss Hearing impairment Speech perception Speech in noise Biomarker Acoustic change complex |
| title | Validation of the acoustic change complex (ACC) prediction model to predict speech perception in noise in adult patients with hearing loss: a study protocol |
| title_full | Validation of the acoustic change complex (ACC) prediction model to predict speech perception in noise in adult patients with hearing loss: a study protocol |
| title_fullStr | Validation of the acoustic change complex (ACC) prediction model to predict speech perception in noise in adult patients with hearing loss: a study protocol |
| title_full_unstemmed | Validation of the acoustic change complex (ACC) prediction model to predict speech perception in noise in adult patients with hearing loss: a study protocol |
| title_short | Validation of the acoustic change complex (ACC) prediction model to predict speech perception in noise in adult patients with hearing loss: a study protocol |
| title_sort | validation of the acoustic change complex acc prediction model to predict speech perception in noise in adult patients with hearing loss a study protocol |
| topic | Hearing loss Hearing impairment Speech perception Speech in noise Biomarker Acoustic change complex |
| url | https://doi.org/10.1186/s41512-024-00164-6 |
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