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. 2011 May;50(5):303-12.
doi: 10.3109/14992027.2010.551221. Epub 2011 Mar 9.

Re-examining the relationship between audiometric profile and tinnitus pitch

Affiliations

Re-examining the relationship between audiometric profile and tinnitus pitch

Magdalena Sereda et al. Int J Audiol. 2011 May.

Abstract

Objective: We explored the relationship between audiogram shape and tinnitus pitch to answer questions arising from neurophysiological models of tinnitus: 'Is the dominant tinnitus pitch associated with the edge of hearing loss?' and 'Is such a relationship more robust in people with narrow tinnitus bandwidth or steep sloping hearing loss?'

Design: A broken-stick fitting objectively quantified slope, degree and edge of hearing loss up to 16 kHz. Tinnitus pitch was characterized up to 12 kHz. We used correlation and multiple regression analyses for examining relationships with many potentially predictive audiometric variables.

Study sample: 67 people with chronic bilateral tinnitus (43 men and 24 women, aged from 22 to 81 years).

Results: In this ample of 67 subjects correlation failed to reveal any relationship between the tinnitus pitch and the edge frequency. The tinnitus pitch generally fell within the area of hearing loss. The pitch of the tinnitus in a subset of subjects with a narrow tinnitus bandwidth (n = 23) was associated with the audiometric edge.

Conclusions: Our findings concerning subjects with narrow tinnitus bandwidth suggest that this can be used as an a priori inclusion criterion. A large group of such subjects should be tested to confirm these results.

Objetivo: Exploramos la relación entre la forma del audiograma y el tono del acufeno para responder a preguntas provenientes de modelos neurofisiológicos del acúfeno: ‘Es el tono dominante del acúfeno asociado con el borde de la hipoacusia?'y ‘Será tal relación más robusta en personas con un acúfeno de banda angosta o con una hipoacusia de caída abrupta?’ Diseño: Una pendiente tipo “palo roto” objetivamente cuantificada, con severidad y borde de la hipoacusia hasta 16 kHz. El tono del acúfeno fue caracterizado hasta 12 kHz. Utiliza-mos un análisis de correlación y regresión múltiple para examinar la relación con muchas de las variables potencialmente predictivas. Muestra del Estudio: 67 personas con acúfeno bilateral crónico (43 hombres y 24 mujeres con edades entre 22 y 81 años). Resultados: En esta amplia muestra de 67 sujetos, la correlación no demostró ninguna relación entre el acúfeno y el borde de la frecuencia. El tono del acúfeno generalmente cayó dentro del área de la hipoacusia. En un subgrupo de sujetos, que tenían un acúfeno de banda angosta (n=23), si hubo asociación con el borde audiométrico. Conclusiones: Nuestros hallazgos que corresponden a los sujetos con un acúfeno de banda angosta, sugieren que esto puede ser utilizado a priori como un criterio de inclusión. Un grupo grande de sujetos debe ser examinado para confirmar estos resultados.

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Figures

Figure 1
Figure 1
Association between hearing level and the dominant tinnitus pitch. Top panel illustrates audiometric thresholds for all 67 patients (134 ears) with the median data shown by the black line. Bottom panel shows the distribution of the dominant tinnitus pitch derived from the similarity ratings.
Figure 2
Figure 2
An example of the ‘broken-stick’ function fi tted to the audiometric data. The solid line shows individual patient's hearing level and the broken line shows non-linear regression with two breaks (the best fit for that hearing profile). The ‘broken stick’ function was used to quantify the audiometric edge, slope, degree of hearing loss (shaded area). Frequency of the worst hearing level was also identifi ed.
Figure 3
Figure 3
Individual ratings of the spectral properties of tinnitus plotted against subsequent numerical estimates of tinnitus bandwidth. The filled circles highlight unexpected patterns of association between these variables. Eight ofthe subjects reporting ‘tonal'tinnitus formed part of the subgroup with the widest numerical bandwidth (0.34–0.44). Similarly, four ofthe subjects reporting ‘hissing'tinnitus formed part ofthe subgroup with the narrowest numerical bandwidth (0.13–0.25). We have only used these symbols for the two extreme bandwidth groups (tonal and hissing). We have no specific a priori expectations for the intermediate (ringing) group.
Figure 4
Figure 4
Scatterplots examining the relationship between dominant tinnitus pitch and the edge of hearing loss, as a function of the numerical bandwidth estimate of the tinnitus percept. For statistical testing, the subgroup reporting the narrow bandwidth (A) represents a planned comparison, and the subgroups with moderate (B) and broad bandwidth (C) represent post hoc (exploratory) comparisons. Data are presented separately for the steeper ear (top row) and the less-steep ear (bottom row).
Figure 5
Figure 5
Scatterplots examining the relationship between dominant tinnitus pitch and the edge of hearing loss, as a function of the slope of hearing loss measured in the steeper ear. For statistical testing, the subgroup with the steep slope (A) represents a planned comparison and the subgroups with moderate (B) and shallow (C) slopes represent post hoc (exploratory) comparisons.
Figure 6
Figure 6
Comparison of Pearson's correlation coefficients and confidence intervals across studies. The top panel shows the strength of the relationship between dominant tinnitus pitch and the edge of hearing loss in patients reporting a narrow tinnitus bandwidth ('tonal'). The bottom panel shows the strength of the relationship between the dominant and the degree of hearing loss in the whole patient cohort. Our present data are reported split according to their steeper and less-steep deafened ear.

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