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This study investigates a new type of auditory evoked brain potentials for the quantification and classification of peripheral hearing damage (The CochSyn Test). The study will investigate the characteristics of this new auditory evoked potential marker in a cohort of people with and without self-reported hearing difficulties and test a new type of hardware that was developed to conduct the test (the CochSyn Device) in clinical practice.
Cochlear synaptopathy (CS) is a new type of sensorineural hearing loss (SNHL) and is related to ageing, noise exposure and ototoxicity. There is currently no diagnostic test of CS on the market, whereas CS is an important form of SNHL. CS occurs before the golden standard clinical hearing test (pure- tone audiogram in which participants raise their hand when hearing tones of different frequencies and the threshold of hearing is determined), shows any signs of hearing damage.
The sponsor has developed a new test, the CochSyn test that may quantify SNHL earlier than the audiogram. The newly developed test is based on auditory evoked potentials. This is a method in which an auditory stimulus is presented, and encephalogram (EEG) electrodes capture the sound-evoked brain potentials. The most popular auditory evoked potential metric to diagnose sensorineural hearing loss (SNHL) is the auditory brainstem response (ABR). Even though it can be assumed that the ABR wave-I amplitude will be sensitive to CS in humans, it may not be a differential marker for it, and hence other candidate auditory evoked potential markers for CS have been investigated. In particular, the envelope-following-response (EFR), has also been shown to be specific to CS.
The sponsor has performed several research studies on the CochSyn test that used commercially available research equipment in either humans or research animals . These data show that our marker is sensitive to ototoxic-induced CS in research animals and demonstrates an age-related decline in humans, and a superiority in terms of test-retest reliability and sensitivity compared to clinical ABR wave-I, or other evoked potential, markers. These promising data, the lack of a method to identify CS and the lack of commercially available hardware to conduct the CochSyn test in a clinical setting motivate the need for the development of the CochSyn test and device.
In this study, the sponsor wish to test the performance of its new method (the CochSyn test) in listeners with or without self-reported hearing difficulties using a newly developed hardware prototype (the CochSyn device), dedicated for the CochSyn test in clinical practice.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Test group (self-reported hearing difficulties) | Experimental | 30 subjects with self-reported hearing difficulties according to the Hearing Handicap Inventory for the Elderly - Screening Version (HHIE-s) questionnaire (score of >4) |
|
| Control group (no self-reported hearing difficulties) | Experimental | 30 subjects without self-reported hearing difficulties according to the Hearing Handicap Inventory for the Elderly - Screening Version (HHIE-s) questionnaire (score of ≤4) |
|
| DeaFNess Autosomal dominant 9 (DFNA9) subgroup (genetically tested and confirmed) | Experimental | 10 subjects (+3 potential drop-outs) genetically tested and confirmed to have DeaFNess Autosomal dominant 9 (DFNA9) related hearing loss |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| CochSyn device | Device | The CochSyn device is intended for use in the evaluation of hearing-related disorders in adults using auditory evoked potentials. The CochSyn device records and analyses biopotential waveforms that can be used for hearing screening and diagnostic applications. |
| Measure | Description | Time Frame |
|---|---|---|
| Clinical performance CochSyn device: speech intelligibility | A significant multiple regression model that predicts speech intelligibility (quantified using the speech reception threshold) based on markers of hearing | Through study completion, an average of 2,5 hours |
| Clinical performance CochSyn device: self-reported hearing difficulties | A significant multiple regression model that predicts self-reported hearing difficulties (quantified using the Hearing Handicap Inventory for the Elderly - Screening Version questionnaire) based on markers of hearing. HHIE-s score varies from 0 to 40. The higher the score the higher probability of hearing impairment. | Through study completion, an average of 2,5 hours |
| Reliability of the CochSyn test | The difference between the EFR measure in a test-retest setting, where the same measurement is performed twice during the experiment. | Through study completion, an average of 2,5 hours |
| Device related safety events of the CochSyn device | The cumulative rate of device related safety events throughout the study. | Through study completion, an average of 2,5 hours |
| Technical performance of the CochSyn device | The cumulative rate of device deficiencies throughout the study. | Through study completion, an average of 2,5 hours |
| Usability of the CochSyn device | Written feedback in form of a questionnaire and subjective comments of the test administrator on the usability of the test system for the measurements performed with the CochSyn Device after a measurement session, with regard to ease of use and comfort for both the clinician and the patient. |
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Inclusion Criteria:
Age 18-77 years (limits included)
Ability to fill out a questionnaire and to perform a speech intelligibility test
Dutch or French as native language
• Control group
No self-reported hearing difficulties according to HHIE-s questionnaire (score of ≤4)
• Test group
Self-reported hearing difficulties according to HHIE-s questionnaire (score of >4)
• Subgroup DFNA9:
Genetically tested and confirmed to have DFNA9 related hearing loss. Note: This genetic testing was performed through standard of care testing, prior to participation in the study.
Exclusion Criteria:
Note 2: This exclusion criterium is not applicable for the DFNA 9 subgroup
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| Name | Affiliation | Role |
|---|---|---|
| Sarah Verhulst, Prof. | University Ghent | Study Director |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University Hospital Antwerp (UZA) | Antwerp | Belgium | ||||
| University Hospital Ghent |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 16671020 | Background | van de Pol M, Verhulst S. Age-dependent traits: a new statistical model to separate within- and between-individual effects. Am Nat. 2006 May;167(5):766-73. doi: 10.1086/503331. Epub 2006 Mar 20. | |
| 31306930 | Background | Garrett M, Verhulst S. Applicability of subcortical EEG metrics of synaptopathy to older listeners with impaired audiograms. Hear Res. 2019 Sep 1;380:150-165. doi: 10.1016/j.heares.2019.07.001. Epub 2019 Jul 2. |
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| ID | Term |
|---|---|
| D006319 | Hearing Loss, Sensorineural |
| D000097942 | Hearing Loss, Hidden |
| ID | Term |
|---|---|
| D034381 | Hearing Loss |
| D006311 | Hearing Disorders |
| D004427 | Ear Diseases |
| D010038 | Otorhinolaryngologic Diseases |
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|
| Through study completion, an average of 2,5 hours |
| Ghent |
| Belgium |
| CHU de Liège | Liège | Belgium |
| 33526004 | Background | Keshishzadeh S, Garrett M, Verhulst S. Towards Personalized Auditory Models: Predicting Individual Sensorineural Hearing-Loss Profiles From Recorded Human Auditory Physiology. Trends Hear. 2021 Jan-Dec;25:2331216520988406. doi: 10.1177/2331216520988406. |
| Background | S. Verhulst, H. Van Der Biest, S. Keshishzadeh, H. Keppler, and I. Dhooge, "Supra-threshold envelope-following responses in the ageing population : an early marker of sensorineural hearing damage," in JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, Chicago, IL, USA, 2023, vol. 153, no. 3, Supplement, pp. A50-A50. |
| Background | N. De Poortere, W. Van Ransbeeck, S. Keshishzadeh, H. Keppler, I. Dhooge, and S. Verhulst, "Music festivals : the effect of recreational noise exposure on young adults hearing," in ARO (Association for Research in Otolaryngology) 46th Annual Midwinter Conference, Abstracts, Orlando, Florida, 2023. |
| Background | H. Van Der Biest, H. Keppler, I. Dhooge, S. Keshishzadeh, and S. Verhulst, "Cochlear synaptopathy in the ageing population," in 13th Speech in Noise Workshop, Abstracts, online, 2022. |
| 29472062 | Background | Verhulst S, Altoe A, Vasilkov V. Computational modeling of the human auditory periphery: Auditory-nerve responses, evoked potentials and hearing loss. Hear Res. 2018 Mar;360:55-75. doi: 10.1016/j.heares.2017.12.018. Epub 2017 Dec 28. |
| 38036538 | Background | Vasilkov V, Caswell-Midwinter B, Zhao Y, de Gruttola V, Jung DH, Liberman MC, Maison SF. Evidence of cochlear neural degeneration in normal-hearing subjects with tinnitus. Sci Rep. 2023 Nov 30;13(1):19870. doi: 10.1038/s41598-023-46741-5. |
| D012678 |
| Sensation Disorders |
| D009461 | Neurologic Manifestations |
| D009422 | Nervous System Diseases |
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |