Hearing loss can muddy the waters of otologic disease detection

Authors

  • Manuel Don Electrophysiology Laboratory, House Ear Institute, Los Angeles, California 90057, USA

Abstract

A few decades ago, there was a strong movement to develop non-invasive physiological measures correlated to the presence of hearing impairment. For simplicity, let us define hearing impairment as difficulty in processing acoustic information. The impetus was identification of hearing loss in infants and children in whom behavioral measures were dif cult to interpret. In the ensuing years, reliable physiological measures correlated to hearing loss of cochlear origin have been developed. We now have physiological measures to screen for hearing loss in infants and children. Currently, we are focused on the clinical refinement of these measures to detect and quantify the degree of hearing impairment more quickly, more easily and with greater accuracy. While a major focus was the detection of hearing impairment in infants and young children, there was parallel development of physiological measures to aid in the diagnosis of hearing problems in adults. However, the focus was not to detect the presence of hearing loss because reliable behavioral measures were available. Rather, the focus was on determining either the presence or the underlying cause of the hearing problem including any neurological problem affecting the auditory central nervous system. Thus, the question is not whether there is hearing impairment, but rather, is the impairment in the cochlea, auditory nerve, or in the higher nervous system? Peripheral hearing impairment (i.e., cochlear insult) is a common manifestation of otologic diseases. However, often in adults, the clinical goal is not simply to establish the presence of this peripheral hearing impairment but to detect objectively the presence of a specific underlying otologic disease. In the search for physiological correlates of a specific otologic disease, we often find that the simple presence of hearing loss confounds the correlated physiological measures and dilutes their diagnostic value. Two obvious solutions to this problem are: (1) determine ways to compensate for the confounding effect of the hearing impairment on the physiological measure, or (2) develop physiological measures that are essentially unaffected by the hearing loss. This paper provides examples of these confounds and solutions when using auditory brainstem responses (ABRs) measures. ABRs have been used extensively over the years to assess hearing impairment. For many clinicians, there was high expectation for what ABRs could tell us about auditory function. From this author’s viewpoint, due to the lack of understanding of what ABRs represent, the over-interpretation of these measures, and the inappropriate use has led to disappointment as a reliable and accurate measure for assessing auditory function. However, its proper use, interpretation, and implementation can provide valuable information about the hearing impairment.

References

Don, M. and Eggermont, J. J. (1978). “Analysis of the click-evoked brainstem potentials in man using high-pass noise masking,” J. Acoust. Soc. Am. 63, 1084-1092.

Don, M. and Kwong, B. (2002). “Auditory Brainstem Response: Differential Diagnosis,” Handbook of Clinical Audiology, Fifth Edition, Ed. Jack Katz. Lippincott Williams & Wilkins Publishing, Media, Pennsylvania, 274-297.

Don, M., Ponton, C. W., Eggermont, J. J., and Masuda, A. (1994). “Auditory brain- stem response (ABR) peak amplitude variability reflects individual differences in cochlear response times,” J Acoust Soc Am., 96, 3476-3491.

Don, M., Masuda, A., Nelson, R. A., and Brackmann, D. E. (1997). “Successful detection of small acoustic tumors using the stacked derived-band auditory brain-stem response amplitude,” Amer J Otol. 18, 608-621.

Don, M., Kwong, B., Tanaka, C., Brackmann, D. E., and Nelson, R. A. (2005a). “The Stacked ABR: A sensitive and specific screening tool for detecting small acoustic tumors,” Audiol Neurotol. 10, 274-290.

Don, M., Kwong, B., and Tanaka, C. (2005b). “A diagnostic test for Meniere’s disease and cochlear hydrops: Impaired high-pass noise masking of ABRs,” Otol Neurotol. 26:711-722.

Eggermont, J. J., Don, M., and Brackmann, D. E. (1980). “Electrocochleography and auditory brainstem electric responses in patients with pontine angle tumors,” Ann ORL. 89: Suppl 75.

Parker, D. J., and Thornton, A. R. D. (1978). “Frequency-specific components of the cochlear nerve and brain stem evoked responses of the human auditory,” Scand. Audiol. 7, 53-60.

Selters, W.A. and Brackmann, D.E. (1977). “Acoustic tumor detection with brain stem electric response audiometry,” Arch. Otolaryngol. 103:181-187.

Teas, D. C., Eldredge, D. H., and Davis, H. (1962). “Cochlear responses to acoustic transients. An interpretation of whole-nerve action potentials.” J. Acoust. Soc. Am. 34,1438-1489

Additional Files

Published

2007-12-15

How to Cite

Don, M. (2007). Hearing loss can muddy the waters of otologic disease detection. Proceedings of the International Symposium on Auditory and Audiological Research, 1, 173–186. Retrieved from https://proceedings.isaar.eu/index.php/isaarproc/article/view/2007-17

Issue

Section

2007/2. Physiological correlates of auditory functions