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Cochlear Implants International
An Interdisciplinary Journal for Implantable Hearing Devices
Volume 17, 2016 - Issue sup1: Issues in Cochlear Implant Candidacy
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Articles

Evaluating recommended audiometric changes to candidacy using the speech intelligibility index

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Abstract

Introduction: The National Institute of Health and Care Excellence (NICE) has derived candidacy guidelines for cochlear implants in the UK based on audiometric thresholds (90 dB HL or above at 2 and 4 kHz; hereafter referred to as the 90 dB HL criteria). Recent research has proposed that these criteria should be changed to 80 dB HL at 2 and 4 kHz (hereafter referred to as the 80 dB HL criteria) in the ear to be implanted.

Methods: In this study, we analysed aided SII scores derived for different hearing loss profiles falling within the current 90 dB HL criteria and equivalent profiles falling within the new 80 dB HL criteria.

Results: The aided SII scores demonstrated that the majority of potential hearing configurations falling within the new proposed 80 dB HL criteria have aided SII values of less than 0.65 (a recommended cut-off point below which there is not sufficient audibility to receive adequate benefit through hearing aids).

Conclusions: This supports the proposed change to the 80 dB HL criterion level and also highlights the additional value of the SII score in supporting candidacy decisions for CI, especially for borderline candidates.

Introduction

Assessing adequacy of hearing aid (HA) fitting for a child can be difficult because children are not always able to report their perceived benefit and may not cooperate with speech testing (CitationBagatto et al., 2010). To optimise amplification in children, recent HA fitting guidelines recommend use of probe microphone measurements to estimate the audibility of speech and match to prescription targets (CitationBagatto et al., 2010). Prescriptive formulae derive target values for HA gain based on long-term average speech spectrum and for swept tones near the maximum output of the HA (CitationMcCreery et al., 2013).

The closeness of the HA fitting to prescription targets is indicative of the audibility of speech (CitationMcCreery et al., 2013). This is a key factor in predicting subsequent rate of speech and language development; if the child cannot hear sufficient components of the speech spectrum, their spoken language and, later literacy, outcomes are compromised (CitationStiles et al., 2012). Studies also show that children require greater levels of audibility, as well as greater bandwidth and better signal-to-noise ratio, than adults to reach age-appropriate levels of speech understanding (CitationStelmachowicz et al., 2004) and word learning (CitationPitman, 2008). Quantifying audibility is therefore crucial to ensuring children have adequate access to acoustic cues for spoken language development.

As speech recognition is challenging to assess with young children, clinicians use indirect estimates of speech audibility derived from acoustic measurements of the HA output, based on the aided Speech Intelligibility Index (SII: CitationAmerican National Standards Institute [ANSI] S3.5–1997).

The SII is a measure of the proportion of the information in the speech signal that is audible to the listener with their hearing impairment and HA. The SII is a numerical estimate of audibility across the frequency range of speech and is calculated by estimating the audibility of an average speech signal based on the listener's hearing thresholds or level of background noise, whichever is greater. The calculation is completed for a discrete number of frequency bands, which are each assigned an importance-weight based on the known contribution of that frequency band to speech recognition (CitationStudebaker and Sherbecoe, 1991). Audibility is multiplied by the importance weight for each band and the weighted audibility of all bands is summed to create a number between 0 and 1. An SII of 0 implies that none of the speech information is available and an SII of 1 that all the speech information in a given setting is audible for a listener. Based on the SII score, levels of speech recognition can be predicted, e.g. as the SII increase the listener's speech understanding will also increase (McCreery and Stelmachowicz, 2011).

Aided SII results of children with HAs have been shown to predict functional outcomes, including language development and speech understanding. CitationStiles et al. (2012) reported that children with mild to moderately severe hearing loss with an aided SII of less than 0.65 demonstrated greater delays in vocabulary development than children with higher aided SII scores. The aided SII therefore provides a more valid estimate than the pure tone average audiogram (PTA) of the child's access to speech and consequently potential benefit from current HA amplification in real-world environments.

For children with profound hearing loss, it may be extremely difficult to achieve the prescribed target gains and HAs do not supply sufficient aided audibility. These children, who will have very low aided SII scores, are however within the audiometric criteria for cochlear implantation. Cochlear implants (CIs) have the potential to give them better, clearer and more consistent access to spoken language across the speech frequency range than HAs.

According to CitationMcCreery et al. (2013), for many children with a moderate to severe loss adequate amplification may be achieved in terms of proximity to prescription targets; however, if the level of aided audibility for the speech spectrum is too low for good phoneme discrimination it could impact on understanding and these children may not reach the expected developmental level for spoken language.

This group of children with hearing loss configurations in the moderate to severe range are currently outside the 90 dB HL criteria recommended by NICE for CIs and are receiving, over time, inconsistent and sub-optimal access to sound through their HAs. They consequently experience limitations in access to and perception of linguistic input, which essentially leads to reduced language exposure and an overall poorer language experience.

The importance of consistent auditory experience over time cannot be underestimated; without this the gap in language development between children with hearing loss and their normal hearing peers will further widen. CitationTomblin et al. (2015) demonstrated that this gap widens in children who did not have good audibility early on and incurred language development difficulties at a later age. In their study, children's audibility scores were grouped in quartiles according to their SII regardless of their hearing thresholds. The two lower audibility groups were found to have language scores which did not develop as rapidly as those children in the better audibility groups. By the age of 6 years the cumulative effect of poor audibility resulted in the children in the top quartile having language abilities considerably greater than children in the bottom quartile, indicating that effect of audibility over 4 years was large.

Current research indicates that NICE CI criterion should be relaxed, with the cut-off changed to the 80 dB HL criteria. CitationLovett et al. (2015) investigated if the current UK 90 dB HL criteria are appropriate for candidacy of bilateral CIs. Seventy one children were tested, 28 with bilateral CIs and 43 with bilateral HAs. Using an odds ratio of 3:1 these measures suggested a candidacy cut-off of 80 dB HL (at 2 and 4 kHz) and with a 4:1 ratio a cut-off somewhere between 80 and 85 dB HL (at 2 and 4 kHz). The audiometric procedure for estimating thresholds has a 5 dB step size and is known to have a 5 to 10 dB HL critical difference (CitationSchmuziger et al, 2004; CitationStuart et al., 1991) so the practical implementation of recommendations ought to take this into account.

The aim of our study was to conduct an analysis of potential configurations of hearing loss that would fit in the proposed 80 dB HL criteria amendment to candidacy and to determine the level of audibility for speech through HAs. For the aided SII, values less than 0.65 were considered to be less than optimal, based on data from CitationStiles et al. (2012), CitationTomblin et al. (2015) and normative SII data from CitationBagatto et al. (2010) as the level of SII required (0.65) for children to achieve good language development. The 0.65 cut-off proposed by these authors is based on extensive work with the SII and its relationship with HA outcomes.

Methods

Sixteen potential hearing loss configurations were derived and HA fitting targets generated. Probe microphone measures were conducted using averaged coupler derived approach (Real-Ear-to-Coupler Difference) to estimate the acoustic characteristics of a 6-year-old child's occluded ear. HA verification was then simulated in the 2cc coupler. AURICAL® FreeFit software calculated aided and unaided SII for the simulated audiograms, using the International Speech Test Signal presented at 65 dBSPL (average speech), 50 dBSPL (soft speech) and 80 dBSPL (loud speech), following CitationANSI S3.5 (1997) with Crest factor set to 15. A swept pure tone at 85 dBSPL was used when measuring the maximum output. The obtained fitting data were then compared to the prescriptive targets of the Desired Sensation Level v5.0 (DSL) for each input level and the proximity to DSL target was met following British Society of Audiology (BSA) guidelines on tolerances to the prescription rationale of ±5 dB at frequencies of 250, 500, 1000, and 2000 Hz, and of ±8 dB at 3000 and 4000 Hz.

Eight of the hearing loss configurations were within the current 90 dB HL criteria and eight met the proposed 80 dB HL criteria. Only thresholds at 500 Hz and 1 kHz were modified and it was assumed that there was no measurable hearing above 4 kHz.

Results

All hearing loss configurations and the correspondent SII are shown in Table . All hearing loss configurations (A to H) which met the current 90 dB HL audiometric candidacy criteria showed SII values lower than 0.65. The remaining eight hearing loss configurations (I to P) which represented children with hearing thresholds within the proposed 80 dB HL criteria also had SII values equal or lower than 0.65.

Table 1 Hearing loss configurations and corresponding SII values. Configurations A to H are in line with current 90 dB HL audiometric candidacy. Configurations I to P represent the proposed 80 dB HL criteria

These results are also illustrated in Fig. .

Figure 1 Hearing loss configurations and corresponding SII values. Configurations A to H are in line with current 90 dB HL audiometric candidacy. Configurations I to P represent the proposed 80 dB HL criteria.

Figure 1 Hearing loss configurations and corresponding SII values. Configurations A to H are in line with current 90 dB HL audiometric candidacy. Configurations I to P represent the proposed 80 dB HL criteria.

Discussion

The aim of the study was to determine if the proposed change to candidacy could be validated with SII rules and whether the SII could be useful clinically for adding to the candidacy assessment toolbox for informing appropriate clinical decision making.

CitationStiles et al. (2012) and CitationTomblin et al. (2015) showed that the SII was a useful tool in predicting language outcome for children and that the lack of audibility earlier in life can have cumulative negative effects on language development of children with hearing loss. The SII can provide powerful information for the clinician so that they can look beyond the audiogram, in particular for those borderline CI candidates, those individuals with a range of hearing loss configurations which are currently not considered by NICE and to identify children at an early stage who will potentially not benefit from HAs. These children can then be promptly referred for CI to reduce the impact of their hearing loss on language development.

The recommended 0.65 cut-off proposed by the CitationStiles et al. (2012), CitationTomblin et al. (2015) and normative SII data from CitationBagatto et al. (2010) as the level of SII required (0.65) for children to achieve good language development is based on work looking at the relationship between the SII and HA outcomes. To further explore the appropriateness of this cut-off value for evaluating borderline CI candidates the data from CitationLovett et al. (2015) will be re-analysed using the SII calculations for the pre-operative audiogram.

CitationMcCreery (2014) reported that if audibility is poor despite best efforts to adjust the amplification, CI should be considered as an intervention, even if audiometric thresholds are better than those typically expected for CI. However, in the UK, making a case to proceed with implantation for individuals outside audiometric criteria is complicated and requires individual funding applications.

The existing UK 90 dB HL criteria for implantation is strictly enforced, resulting in many children and adults who would benefit from implants not being considered even though they have poor access to speech sounds with best fitting HAs. Fitzpatrick et al. (Citation2006) suggested CI as an appropriate intervention for selected children with hearing losses outside current candidacy criteria. In addition, it is well known that the critical difference (the expected variation of a measure when tested on two different occasions) for pure tone audiometry is between 5 and 10 dB for a given threshold (CitationSchmuziger et al., 2004; CitationStuart et al., 1991) which means that even for current guidance, the cut-off point ought to be 80 dB HL at 2 and 4 kHz. Clinical experience and emerging research shows that without making appropriate treatment decisions early, children may not develop language optimally.

CitationLovett et al. (2015) proposed relaxing audiometric candidacy criteria in the UK. Based on this work, the proposal is to change current guidance levels to be 80 dB HL at 2 and 4 kHz to address the issue of hearing-impaired children and adults who under existing guidelines are not considered for CI being given the appropriate intervention.

The SII values obtained for all eight hearing loss configurations representative of the new candidacy 80 dB HL criteria were equal to or below 0.65. According to CitationStiles et al. (2012), if these audiograms related to children, they would be considered at risk of vocabulary delay. In addition, the deprivation from sufficient audibility may prevent these children from closing the developmental gap with their hearing peers in receptive language tasks (CitationTomblin et al., 2015). Considering all these implications and the extensive research done with SIIs and HAs, we suggest that the SII can provide powerful information for CI audiologists so that they can look beyond the audiogram, in particular for those borderline CI candidates and children with a range of hearing loss configurations which are currently not considered by NICE.

Further research is necessary to establish if the 0.65 cut-off value is an appropriate one to be used in the recommended guidelines for CI.

Conclusion

Current NICE audiometric criteria are thought to result in some individuals (adults and children) not receiving CIs when they could genuinely benefit from the intervention. In our study, the SII values for the 90 dB HL and 80 dB HL criteria were computed to determine if they fell below the 0.65 suggested cut-off point for HA benefit proposed by CitationStiles et al. (2012), CitationTomblin et al. (2015) and normative SII data from CitationBagatto et al. (2010); all of the configurations evaluated produced an SII below this criteria value. This adds further support to the suggested amendment to candidacy criteria and shows the potential value of adding the SII to the assessment toolbox for supporting decisions about CI candidacy, in particular for borderline candidates and children with a variety of hearing loss configurations. To determine if this value appropriate for recommendation of CIs, the data from CitationLovett et al. (2015) will be re-analysed using the SII calculations for the pre-operative audiogram.

Disclaimer statements

Contributors None.

Funding None.

Conflicts of interest There are no conflicts of interest among the authors.

Ethics approval None.

References

  • American National Standards Institute [ANSI] S3.5. 1997. Methods for calculation of the speech intelligibly index. New York: ANSI.
  • Bagatto, M., Scollie, S., Hyde, M., Seewald, R. 2010. Protocol for the provision of amplification within the Ontario Infant Hearing Program. International Journal of Audiology, 49: S70–S79. doi: 10.3109/14992020903080751
  • British Society of Audiology. 2008. Guidance on the use of real ear measurement to verify the fitting of digital signal processing hearing aids. [Accessed 2015 December 12]. Available from http://www.thebsa.org.uk/wp-content/uploads/2014/04/REM.pdf.
  • Fitzpatrick, E., McCrae, R., Schramm, D. 2006. A retrospective study of cochlear implant outcomes in children with residual hearing. BMC Ear, Nose and Throat Disorders, 6(1): 7. doi: 10.1186/1472-6815-6-7
  • Lovett, R.E.S, Vickers, A.D, Summerfield, A.Q. 2015. Bilateral cochlear implantation for hearing impaired children – criterion of candidacy derived from an observational study. Ear & Hearing, 36(1): 14–23. doi: 10.1097/AUD.0000000000000087
  • McCreery, R. W. 2014. The right time to go from hearing aid to cochlear implant. Hearing Journal, 67(4): 30–32. doi: 10.1097/01.HJ.0000446440.44172.67
  • McCreery, R.W., Bentler, R.A., Roush, P.A. 2013. Characteristics of hearing aid fittings in infants and young children. Ear and Hearing, 34: 701–710. doi: 10.1097/AUD.0b013e31828f1033
  • National Institute for Health & Care Excellence. Hearing impairment – Cochlear implants for children and adults with severe to profound deafness. NICE technology appraisal guidance [TA166] Published date: January 2009. [Accesses 2015 December 12] Available from http://www.nice.org.uk/guidance/ta166.
  • Pittman, A.L. 2008. Short-term word-learning rate in children with normal hearing and children with hearing loss in limited and extended high-frequency bandwidths. Journal of Speech, Language, and Hearing Research, 51(3): 785–797. doi: 10.1044/1092-4388(2008/056)
  • Schmuziger, N., Probst, R., Smurzynski, J. 2004. Test–retest reliability of pure-tone thresholds from 0.5 to 16 kHz using Sennheiser HDA 200 and etymotic research er-2 earphones. Ear and Hearing, 25: 127–132. doi: 10.1097/01.AUD.0000120361.87401.C8
  • Stelmachowicz, P.G., Pittman, A.L., Hoover, B.M., Lewis, D.E. 2004. Novel-word learning in children with normal hearing and hearing loss. Ear and Hearing, 25: 47–56. doi: 10.1097/01.AUD.0000111258.98509.DE
  • Stiles, D.J., Bentler, R.A., McGregor, K.K. 2012. The speech intelligibility index and the pure-tone average as predictors of lexical ability in children fit with hearing AIDS. Journal of Speech Language and Hearing Research, 55: 764–778. doi: 10.1044/1092-4388(2011/10-0264)
  • Stuart, A., Stenstrom, R., Tompkins, C., Vandenhoff, S. 1991. Test–retest variability in audiometric threshold with supraaural and insert earphones among children and adults. International Journal of Audiology, 30: 82–90. doi: 10.3109/00206099109072873
  • Studebaker, G.A., Sherbecoe, R.L. 1991. Frequency-importance and transfer functions for recorded CID W-22 word lists. Journal of Speech Language and Hearing Research, 34: 427–438. doi: 10.1044/jshr.3402.427
  • Tomblin, J.B., Harrison, M., Ambrose, S.E. 2015. Language outcomes in young children with mild to severe hearing loss. Ear and Hearing, 36: 76S–91S. doi: 10.1097/AUD.0000000000000219

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