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Surveillance for ototoxicity in platinum-based chemotherapy using mobile health audiometry with extended high frequencies

Published online by Cambridge University Press:  25 May 2022

K Ehlert*
Affiliation:
Department of Speech-Language Pathology and Audiology, Sefako Makgatho Health Sciences University, Pretoria, South Africa Department of Speech-Language Pathology and Audiology, Mathematics and Technology Education, University of Pretoria, Pretoria, South Africa
B Heinze
Affiliation:
Department of Speech-Language Pathology and Audiology, Mathematics and Technology Education, University of Pretoria, Pretoria, South Africa Ear Science Institute Australia, Subiaco, Australia
M A Graham
Affiliation:
Department of Science, Mathematics and Technology Education, University of Pretoria, Pretoria, South Africa
D Swanepoel
Affiliation:
Department of Speech-Language Pathology and Audiology, Mathematics and Technology Education, University of Pretoria, Pretoria, South Africa
*
Author for correspondence: Dr K Ehlert, Department of Speech-Language Pathology and Audiology, Sefako Makgatho Health Sciences University, Molotlegi Street, Ga-Rankuwa, Pretoria 0208, South Africa E-mail: [email protected]
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Abstract

Objective

This study investigated mobile health enabled surveillance in ototoxicity.

Method

This was a longitudinal study of 32 participants receiving chemotherapy. Baseline and exit audiograms that included conventional and extended high frequency audiometry were recorded within the patient's treatment venue using a validated mobile health audiometer.

Results

Average hearing thresholds at baseline were within the normal range (81.2 per cent left; 93.8 per cent right), reducing at exit testing (71.9 per cent left; 78.1 per cent right). Half of participants presented with a threshold shift according to ototoxicity monitoring criteria. The frequencies affected the most were between 4000 and 16 000 Hz, with left ears significantly more affected than right ears. Noise levels exceeded the maximum permissible ambient noise levels in up to 43.8 per cent of low frequencies (250–1000 Hz).

Conclusion

Mobile health supported audiometry proved to be an efficacious tool for ototoxicity monitoring at the treatment venue. Changes in hearing ability over time could be tracked, improving surveillance in patients with full treatment schedules.

Type
Main Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press on behalf of J.L.O. (1984) LIMITED

Introduction

Cancer is known to be one of the major illnesses in the world, resulting in about 19.3 million new cases and 10 million deaths in 2020. The overall number of individuals living within 5 years of a cancer diagnosis, called the 5-year prevalence, is estimated to be 50.6 million worldwide.Reference Ferlay, Colombet, Soerjomataram, Parkin, Piñeros and Znaor1 Although cancer appears to be a life-altering diagnosis, there has been an overall decrease of 26 per cent in cancer deaths in the last two decades because of medical advancements.Reference Jemal, Miller, Ma, Siegel, Fedewa and Islami2 However, treatment outcomes can also lead survivors to have long-term physical and psychological issues.Reference Skalleberg, Solheim, Fosså, Småstuen, Osnes and Gundersen3 For this reason, for those who are transitioning to a life with and beyond cancer, there is a need to assess how these long-term consequences affect their health-related quality of life (QoL).

Ototoxic medications typically used in chemotherapy can result in cochleotoxicity, vestibulotoxicity or both.Reference Landier4,Reference Campbell and Le Prell5 Ototoxicity refers to any hearing deficit or tinnitus resulting from acute or permanent inner ear dysfunction following treatment with an ototoxic drug. Platinum-based compounds (cisplatin, carboplatin and oxaliplatin) are used as single agents and in combination with other drugs for the treatment of various types of cancer (e.g. testicular carcinoma, lung carcinoma, ovarian carcinoma, head and neck carcinomas, melanomas, lymphomas, and neuroblastomas).Reference Oun, Moussa and Wheate6,Reference Theile7

The platinum-based drugs combine DNA and result in irreversible changes that prohibit tumour cell division. Common adverse effects of platinum-based drugs include nephrotoxicity and ototoxicity.Reference Szczepek8 When ototoxins cross the blood-labyrinth barrier of the auditory system, the barrier breaks down and instantly causes loss of endolymphatic potential that leads to the demise of auditory hair cells in the cochlea.Reference Landier4 Furthermore, genetic mutations that cause mitochondrial pathologies, are often associated with hearing loss, and substances such as cisplatin are known to damage mitochondria,Reference Szczepek8 which results in elevation of sensory thresholds and eventually hearing loss.Reference Landier4 Hearing changes are typically detected in the highest audible frequencies progressing to lower frequencies with additional ototoxicity exposure. Consequently, cancer survivors often have difficulties understanding speech in noise.Reference Waissbluth, Peleva and Daniel9

Unfortunately, ototoxic hearing loss may go unnoticed by patients until a communication problem becomes apparent, suggesting that hearing loss within the frequency range important for speech understanding has already occurred.Reference Konrad-Martin, Poling, Garinis, Ortiz, Hopper and O'Connell Bennett10 For patients with life-threatening illnesses that warrant treatment with ototoxic drugs, communication ability is a central QoL issue. These patients have important communication needs in terms of dealing with multiple healthcare professionals and family members during the course of cancer treatment.Reference Tumolo11 Therefore, identifying ototoxic damage early can improve treatment outcomes by minimising hearing loss progression and its associated impact on functioning in daily life.Reference Landier4 Early identification and monitoring of ototoxicity can also provide hearing care professionals with the opportunity to perform appropriate (re)habilitation during and after treatment.Reference Konrad-Martin, Poling, Garinis, Ortiz, Hopper and O'Connell Bennett10

The only way to detect ototoxicity is by assessing auditory function directly.Reference Landier4 For patients undergoing chemotherapy, the difficulties of introducing an ototoxicity monitoring protocol include fatigue, general acute illness, travel problems and priority issues.Reference Konrad-Martin, Poling, Garinis, Ortiz, Hopper and O'Connell Bennett10 Present ototoxicity testing recommendations include detailed test protocols conducted in a sound-treated room by an audiologist.Reference Brungart, Schurman, Konrad-Martin, Watts, Buckey and Clavier12 Moving patients who are undergoing chemotherapy into a sound-treated room is usually not feasible because of their immunocompromised state and overburdened treatment schedule.Reference Brungart, Schurman, Konrad-Martin, Watts, Buckey and Clavier12 This contributes to the ineffectiveness of existing monitoring programmes.

Mobile solutions to test hearing on digital devices like smartphones have proven effective for hearing assessment outside of conventional clinic environments and provide a low-cost alternative to conventional ototoxicity monitoring that requires the patient to attend an audiology clinic.Reference Brittz, Heinze, Mahomed-Asmail, Swanepoel and Stoltz13,Reference Bright, Mulwafu, Phiri, Ensink, Smith and Yip14,Reference Sandström, Swanepoel, Myburgh and Laurent15 These mobile health technologies are often also designed to be used by minimally trained persons, which can further improve access to hearing care.Reference Bright, Mulwafu, Phiri, Ensink, Smith and Yip14,Reference Eksteen, Launer, Kuper, Eikelboom, Bastawrous and Swanepoel16 Automated pure tone testing protocols using mobile health technologies with calibrated headphones demonstrate clinical hearing threshold assessments (at the conventional frequencies as well as extended high frequencies) comparable with conventional testing with improved efficiency, noise monitoring and quality control.Reference Bornman, Swanepoel, De Jager and Eikelboom17 Smartphone audiometry has also provided reliable results in an infectious disease clinic setting and can be used as a baseline and monitoring tool.Reference Brittz, Heinze, Mahomed-Asmail, Swanepoel and Stoltz13 Employing mobile health tools connected to cloud-based data management systems allows for paperless tracking of patient data and potential threshold shifts.Reference Brittz, Heinze, Mahomed-Asmail, Swanepoel and Stoltz13 The application allows for remote hearing testing where patient data and results can be uploaded onto centralised cloud-based servers for data management through cellular networks. Patients can also be linked to the closest audiologist for further management.Reference Brittz, Heinze, Mahomed-Asmail, Swanepoel and Stoltz13

As cancer patients face unique health problems and side effects throughout the course of platinum-based chemotherapy treatment, a flexible approach to ototoxicity monitoring is required. Hearing testing, particularly within a clinic or hospital setting, is required to overcome patient challenges and to implement a successful ototoxicity monitoring programme. The mobile nature, quality controls, use by healthcare workers and paperless surveillance in the cloud makes mobile health supported devices ideal for ototoxicity surveillance. Hearing testing during chemotherapy treatment within hospital wards and oncology clinics will relieve the already over-burdened treatment schedule of cancer patients. This study therefore investigated platinum-based chemotherapy ototoxicity surveillance using mobile health audiometry.

Materials and methods

Ethical clearance was obtained from the research ethics committee of the Faculty of Health Sciences and Faculty of Humanities of the University of Pretoria on 11 January 2019 (approval number: 665/2018).

Study design, setting and participants

A longitudinal study design was implemented. Inclusion criteria were all participants (aged more than 10 years) treated with platinum-based compounds (cisplatin, carboplatin or oxaliplatin) for the first time in private and public oncology units and hospitals. Testing was conducted during chemotherapy treatment in oncology clinics or at the hospital bedside. Thirty-two participants (64 ears) above the age of 10 years (to ensure reliable behavioural testing) participated in the study, taking into account that repeated measures (baseline and exit testing) were performed for each participant.

Equipment

The ‘ototoxicity monitoring case history interview’Reference Campbell18,19 was used as a guideline during case history at baseline testing. The Heine Mini 3000 Otoscope (Gilching, Germany) was used to perform otoscopy prior to pure tone testing. The hearTest® certified digital audiometer was used for testing. The hearTest® extended high frequencies application was used on a Samsung A3 smartphone with the Android version 8.0 operating system (Google, Mountain View, USA). Supra-aural Sennheiser HDA 300 headphones (Sennheiser, Wedemark, Germany; K Venter, unpublished thesis) calibrated according to prescribed standards (International Organisation for Standardisation 389–1, 2017)Reference Swanepoel, Myburgh, Howe, Mahomed and Eikelboom20 and adhering to equivalent threshold sound pressure levels determined for this headphone were connected to the smartphone. Daily calibration listening checks of headphones were performed. The hearTest audiometer has been validated to monitor noise accurately using the smartphone microphone (JJ van Tonder, unpublished thesis).

There was real-time monitoring of noise with the smartphone microphone to alert the user of environmental noise concerns during testing. The maximum permissible ambient noise levels used for HDA 300 headphones were 22.7, 19.4, 22.8, 25.1, 38.8 and 36.2 dB for 250, 500, 1000, 2000, 4000 and 8000 Hz, respectively, for testing at the minimum response level of 10 dB HL. Automated pre-programmed test sequences (250–16 000 Hz) were used for improved efficiency, and the reliability of patient responses was monitored throughout (hearX Group, Pretoria, South Africa). Testing commenced and ended at 1000 Hz frequency in each ear. Threshold concern was flagged at 1000 Hz when there was a difference of equal to or more than 10 dB (hearX Group). Patient, test and facility data were consolidated instantly on a secure online database. Data collected by the smartphone were automatically uploaded to a secure cloud-based server once connected to wi-fi. Access to the smartphone and cloud-based data were protected by a user password.

Data collection procedures

For this study, baseline testing included case history, otoscopy and pure tone audiometry (conventional air conduction and extended high frequency). Exit testing included otoscopy and pure tone audiometry (conventional air conduction and extended high frequency).

Testing was not performed in a sound-treated room but was instead performed in the oncology rooms during chemotherapy appointments or oncology visits as well as in hospital wards. Participants were tested prior to initiation of treatment or within 24-hours of treatment initiation (baseline testing). Post-treatment follow up occurred at three to six months post-treatment (exit testing). Prior to baseline testing, participants were provided with simple instructions and a demonstration regarding the testing procedure. An automated hearTest protocol was employed for baseline and exit testing to determine participant thresholds. The shortened threshold ascending method was used in the automated protocol to obtain thresholds (K Venter, unpublished thesis).

The pure tone average (PTA) was calculated as the better ear average for four frequencies of 500, 1000, 2000 and 4000 Hz. The World Health Organization grades of hearing impairment were used to determine severity of hearing loss. A PTA of less than 25 dB HL indicates normal hearing, 26–40 dB HL indicates slight hearing loss, 41–60 dB HL indicates moderate hearing loss, 61–80 dB HL indicates severe hearing loss and more than 81 dB HL indicates profound hearing loss.Reference Mathers, Smith and Concha21

Threshold shifts were regarded as significant if there was a 20 dB decrease or greater at one frequency, 10 dB decrease or greater at two adjacent frequencies and loss of response at three consecutive frequencies where there was a previously recorded response.22 Participants with changes in hearing were advised to continue monitoring until hearing had stabilised and up to 12 months post-treatment.Reference Langer, am Zehnhoff-Dinnesen, Radtke, Meitert and Zolk23 All participants, even those without a significant shift in threshold were advised to continue annual monitoring of hearing abilities.

Data analysis

Descriptive statistics (averages and standard deviation) were used to determine the decline in hearing thresholds from baseline to exit testing. The Shapiro–Wilk testReference Field24 was used to test for normality, and because the p-values were less than 0.05, the data differed from normality and non-parametric tests were used. The correlation between the most common frequencies affected and duration between baseline and exit testing was determined. Within-subject statistical tests (Wilcoxon signed rank test) was used to determine the statistical significance of the hearing threshold shifts from baseline to exit testing. If the p-value was less than 0.05, then there was a statistically significant difference between baseline and exit. Non-parametric Spearman correlations were used to report on statistically significant (p < 0.05) correlations. Because males and females were independent groups, the Mann–Whitney test was used to determine whether males or females differed significantly (p < 0.05) in terms of incidence of ototoxicity.

Results

Table 1 describes the characteristics of the participants (n = 32). Case history at baseline testing yielded reports of noise exposure, pre-existing hearing loss and tinnitus. Tinnitus was reported by 34.4 per cent (n = 11) of participants prior to chemotherapy treatment, and all these participants also reported an increase in tinnitus during the course of treatment. All participants (100 per cent; n = 32) reported an awareness of tinnitus during treatment, and 81.3 per cent (n = 26) reported tinnitus symptoms at exit testing.

Table 1. Characteristics of participants*

*Patients n = 32; of 32 patients, 4 had combination treatments. IQR = inter-quartile range; SD = standard deviation

Half of the participants (50 per cent; n = 16) presented with a threshold shift according to ototoxicity criteria from baseline to exit testing. Table 2 summarises the outcomes for pure tone audiometry at baseline and exit testing. Noise levels exceeded the maximum permissible ambient noise levels at the lower frequencies (250–1000 Hz). Test–retest checking at 1000 Hz for differences of 10 dB or greater indicated concerns in 17.2 per cent (n = 11 by 10 dB) at baseline testing and 10.9 per cent (n = 6 by 10 dB; n = 1 by 15 dB) at exit testing in either left or right ears. Hearing thresholds demonstrated a decline from baseline to exit testing with a significant difference in PTA from baseline to exit testing in both the left and right ears (p = 0.001). Males were more affected than females; however, the differences were statistically insignificant. The mean PTA difference from baseline to exit testing in the left ears was 4.2 dB (standard deviation (SD) = 4.2 dB, interquartile range = 3.7) and 3.6 dB (SD = 4.6 dB, interquartile range = 6.2) in the right ears.

Table 2. Description and outcomes of pure tone testing for baseline and exit testing*

*Patients n = 32; n = 64; n = 64; **Statistically significant difference from baseline to exit testing. The average of 500, 1000, 2000 and 4000 Hz was used to calculate the pure tone average (PTA). A p-value < 0.05 was used to indicate if there is a statistically significant difference between baseline and exit testing. MPANLs = maximum permissible ambient noise levels; SD = standard deviation; IQR = interquartile range

Figure 1 illustrates the mean thresholds per frequency for baseline and exit audiometry. Significant deterioration was observed at 250 Hz (p = 0.003), 500 Hz (p = 0.001), 1000 Hz (p < 0.001), 2000 Hz (p = 0.024), and 4000 Hz (p = 0.011) in left ears and 500 Hz (p = 0.031) and 1000 Hz (p = 0.001) in right ears from baseline to exit testing. Although not always showing a significant shift, the most affected frequencies according to ototoxicity monitoring criteria were in the high frequencies from 4000 to 16 000 Hz, emphasising the importance of including extended high frequencies in ototoxicity surveillance protocols.

Fig. 1. Mean frequency-specific thresholds for baseline and exit testing and error bars showing difference between baseline and exit testing.

Table 3 demonstrates the most substantial shifts from baseline to exit testing in cisplatin and carboplatin treatment cases.

Table 3. Mean PTA differences from baseline to exit testing for specific platinum-based compounds

*n = 13; n = 10; n = 5. Participants (n = 4) on combined treatments were excluded. PTA = pure tone average; SD = standard deviation; IQR = interquartile range

Discussion

As long as the best evidence-based practice for the treatment of certain cancers includes treatment with platinum-based compounds, ototoxic hearing loss will need to be considered as a likely side-effect.Reference Landier4,Reference Reavis, McMillan, Austin, Gallun, Fausti and Gordon25 For cancer patients, hearing monitoring should be performed at the patient's treatment venue.Reference Jacob, Aguiar, Tomiasi, Tschoeke and Bitencourt26 The mobile health-supported device used in the current study has proved successfully to provide ototoxicity monitoring at the patient's treatment venue. Mobile audiometry applications with automated test sequences, integrated noise monitoring, data capturing and data sharing makes asynchronous ototoxicity monitoring possible and can be facilitated onsite by minimally trained persons.Reference Brittz, Heinze, Mahomed-Asmail, Swanepoel and Stoltz13 This could minimise the already full treatment schedule of cancer patients as monitoring can take place during in- or out-patient chemotherapy treatments. This may also address the issue of loss to follow up, as the prolonged effect of chemotherapy on hearing requires long-term monitoring.

Half (50.0 per cent) of the participants in the current study presented with a significant hearing threshold shift from baseline to exit testing. Studies have reported that on average 60–70 per cent of adults treated with cisplatin have ototoxicity,Reference Pearson, Taylor, Patel and Baguley27 20 per cent of patients treated with carboplatin have ototoxicity and ototoxicity from oxaliplatin is typically rare.Reference Langer, am Zehnhoff-Dinnesen, Radtke, Meitert and Zolk23 Using a mobile health audiometry application supported the ototoxicity monitoring conducted at baseline and exit testing within multiple oncology units and hospital wards. Hearing testing was possible without cancer patients being required to attend audiology clinics.

Extended high frequency testing was included for surveillance purposes using the mobile health audiometry application. The current study found that 4000–16 000 Hz showed the largest average threshold shifts from baseline to exit testing according to ototoxicity monitoring criteria. Extended high frequency testing allows for early identification of hearing disorders before changes are seen in conventional pure tone audiometry and, subsequently, before speech understanding is compromised.Reference Hunter, Monson, Moore, Dhar, Wright and Munro28

The extended high frequency mobile health audiometry used in this study tested up to 16 000 Hz at a maximum output of 40–60 dB.Reference Langer, am Zehnhoff-Dinnesen, Radtke, Meitert and Zolk23,Reference Jacob, Aguiar, Tomiasi, Tschoeke and Bitencourt26,Reference Singh Chauhan, Kumar Saxena and Varshey29 A study by Singh et al.Reference Singh Chauhan, Kumar Saxena and Varshey29 demonstrated that hearing loss was much more common in patients receiving potentially ototoxic drugs (gentamicin, amikacin or cisplatin), in the 10 000–20 000 Hz range (70.1 per cent) than in the 250–8000 Hz range (29.9 per cent). Extended high frequency hearing loss prevalence from baseline to exit testing was 71.4 per cent for cisplatin cases compared with 28.6 per cent in the conventional test frequency range. Consequently, patients in whom hearing is successfully monitored for ototoxicity with extended high frequency are those with better baseline hearing (i.e. responses within the normal range at extended high frequency) and greater post-exposure hearing changes. Although statistically significant (p < 0.05), changes from baseline to exit testing were not evident in this study for extended high frequencies, threshold shifts up to 4.9 dB according to ototoxicity threshold shift criteria were evident. This may be because of extended high frequency thresholds that were affected (threshold at maximum extended high frequency intensity for the device) at baseline testing for 59.0 per cent of ears tested in this study. Singh et al.Reference Singh Chauhan, Kumar Saxena and Varshey29 found that most of the patients in the oldest group (51 to 70 years) showed no response on extended high frequency testing, both before and after drug exposure, because of presbycusis. Half (50.0 per cent) of participants in this study were in the oldest age group above 50 years of age and showing high frequency hearing loss at baseline testing. This highlights a limitation of extended high frequency testing with thresholds often absent, especially in older persons, which make it unavailable for monitoring purposes.

Frequencies significantly affected were 250, 500, 1000, 2000 and 4000 Hz in left ears and 500 and 1000 Hz in right ears from baseline to exit testing. The low frequencies in this study also showed that there was a significant difference from baseline to exit testing. Noise levels also affected the lower frequencies which could have resulted in the significant differences from baseline to exit testing. A significant average deterioration of PTA from baseline to exit was evident in this study across left and right ears. The left ear frequency-specific deterioration was more significantly affected compared with the right ears. A study examining the role of extended high frequency testing in ototoxicity monitoring among the 45 patients affected by ototoxicity also observed hearing loss was unilateral (31.1 per cent; n = 14) before bilateral hearing loss was reported.Reference Singh Chauhan, Kumar Saxena and Varshey29 Observing shifts in one ear provides the opportunity to adjust the patient's drug regimen to prevent or limit progression to the other ear.

Most participants in the current study had normal hearing (according to conventional PTA) at baseline testing, and degrees of hearing remained the same at exit testing. The frequencies showing the largest average threshold shift in this study were 2000, 3000, 4000 and 6000 Hz, although they were not significantly different from baseline to exit testing. Platinum-induced hearing loss is reported as initially affecting higher frequencies (equal to or more than 4000 Hz).Reference Langer, am Zehnhoff-Dinnesen, Radtke, Meitert and Zolk23 Therefore, a shift in hearing threshold is not always evident using the conventional PTA (average of 5000, 1000, 2000 and 4000 Hz). Consequently, mobile health supported devices should include calculations of high frequency PTA (average of 2000, 4000 and 6000 Hz) and potentially extended high frequency PTA (average of 10 000, 12 000, 14 000 and 16 000 Hz) in cases where baseline extended high frequency thresholds could be obtained.Reference Le Prell, Spankovich, Lobariñas and Griffiths30

  • As long as treatment of certain cancers includes treatment with platinum-based compounds, ototoxic hearing loss will need to be considered as a likely side-effect

  • Ototoxicity monitoring for chemotherapy patients is challenging in traditional settings and could be supported by mobile and automated technologies

  • This study investigated mobile health enabled surveillance in ototoxicity

  • This study showed the usefulness of mobile health conventional and extended high frequency audiometry in ototoxicity surveillance

  • Changes in hearing ability over time could be tracked by employing baseline and exit testing

  • Monitoring can take place at the treatment venue and decrease the patient's already over-burdened treatment schedule

The mobile health audiometry application monitored environmental noise during threshold testing because testing was performed outside a sound-treated environment.Reference Brittz, Heinze, Mahomed-Asmail, Swanepoel and Stoltz13 Frequencies that exceeded maximum permissible ambient noise levels were in the lower frequencies in this study. This may be attributed to testing outside a sound-treated room and the effect of environmental noise. Noise concerns were predominantly noted in this study at 250, 500 and 1000 Hz. The mean levels by which the maximum permissible ambient noise levels exceeded the thresholds was 3.0–7.8 dB, which emphasises that maximum permissible ambient noise levels were exceeded by a small margin on average. Considering the convenience, and often the only option, for ototoxicity surveillance to take place is at the cancer patient's treatment venue, the possible noise interference at the lower frequencies highlights the need to focus on the high frequencies to detect threshold shifts in these settings. As the most sensitive frequencies for ototoxicity are in the high frequencies,Reference Landier4 it could mitigate concerns of noise levels affecting the results when testing during chemotherapy in- and out-patient appointments as an early detection measure. Longer duration of platinum-based treatment also eventually affects the mid and lower frequencies so this should be kept in mind.Reference Landier4,Reference Reavis, McMillan, Austin, Gallun, Fausti and Gordon25 It also highlights the value of having real-time monitoring of allowable noise levels during audiometry testing.

Limitations of the current study include the exclusion of control conditions in a sound-treated room, because of the challenging immunocompromised nature of cancer patients. Additionally, no external sound-level measurements apart from the smartphone monitoring included in the mobile health application was employed to monitor environmental noise.

Conclusion

In conclusion, the current study demonstrated the usefulness of using mobile health audiometry including extended high frequency testing in ototoxicity surveillance for cancer patients receiving platinum-based chemotherapy. Changes in hearing ability over time could be tracked by employing baseline and exit testing. Shortened monitoring protocols focusing on high frequencies and extended high frequencies may be more efficient and address the possibility of noise interference in the lower frequencies during testing. Monitoring can take place at chemotherapy in- and out-patient treatment venues and decrease the patient's already over-burdened treatment schedule.

Acknowledgements

The authors thank personnel from Mary Potter Oncology (including Montana, Muelmed and Unitas practices), Doctor George Mukhari Academic Hospital oncology wards and oncologists for patient referrals and provision of space for hearing testing. The work was supported by the Sefako Makgatho Health Sciences University research development grant (grant number: D200).

Competing interests

The author DS has equity interest, consultancy and potential royalties in the hearX Group.

Footnotes

Dr K Ehlert takes responsibility for the integrity of the content of the paper

References

Ferlay, J, Colombet, M, Soerjomataram, I, Parkin, DM, Piñeros, M, Znaor, A et al. Cancer statistics for the year 2020: an overview. Int J Cancer 2021;149:778–89CrossRefGoogle Scholar
Jemal, A, Miller, KD, Ma, J, Siegel, RL, Fedewa, SA, Islami, F et al. Higher lung cancer incidence in young women than young men in the United States. N Engl J Med 2018;378:19992009CrossRefGoogle ScholarPubMed
Skalleberg, J, Solheim, O, Fosså, SD, Småstuen, MC, Osnes, T, Gundersen, PO et al. Long-term ototoxicity in women after cisplatin treatment for ovarian germ cell cancer. Gynecol Oncol 2017;145:148–53CrossRefGoogle ScholarPubMed
Landier, W. Ototoxicity and cancer therapy. J Cancer 2016;122:1647–58CrossRefGoogle ScholarPubMed
Campbell, KCM, Le Prell, CG. Drug-induced ototoxicity: diagnosis and monitoring. Drug Saf 2018;41:451–64CrossRefGoogle ScholarPubMed
Oun, R, Moussa, YE, Wheate, NJ. The side effects of platinum-based chemotherapy drugs: a review for chemists. Dalton Trans 2018;47:6645–53CrossRefGoogle ScholarPubMed
Theile, D. Under-reported aspects of platinum drug pharmacology. Molecules 2017;22:382CrossRefGoogle ScholarPubMed
Szczepek, AJ. Ototoxicity: old and new foes. Adv Clin Audiol 2017;29:233–49Google Scholar
Waissbluth, S, Peleva, E, Daniel, SJ. Platinum-induced ototoxicity: a review of prevailing ototoxicity criteria. Eur Arch Otorhinolaryngol 2017;274:1187–96CrossRefGoogle ScholarPubMed
Konrad-Martin, D, Poling, GL, Garinis, AC, Ortiz, CE, Hopper, J, O'Connell Bennett, K et al. Applying US national guidelines for ototoxicity monitoring in adult patients: perspectives on patient populations, service gaps, barriers and solutions. Int J Audiol 2018;57(suppl 4):S3–18CrossRefGoogle ScholarPubMed
Tumolo, J. Chemo-induced hearing loss: help patients cope with the aural effects of cancer treatment. Hear J 2018;71:26–7CrossRefGoogle Scholar
Brungart, D, Schurman, J, Konrad-Martin, D, Watts, K, Buckey, J, Clavier, O et al. Using tablet-based technology to deliver time-efficient ototoxicity monitoring. Int J Audiol 2018;57(suppl 4):S78–86CrossRefGoogle ScholarPubMed
Brittz, M, Heinze, B, Mahomed-Asmail, F, Swanepoel, DW, Stoltz, A. Monitoring hearing in an infectious disease clinic with mHealth technologies. J Am Acad Audiol 2019;30:482–92Google Scholar
Bright, T, Mulwafu, W, Phiri, M, Ensink, RJ, Smith, A, Yip, J et al. Diagnostic accuracy of non-specialist versus specialist health workers in diagnosing hearing loss and ear disease in Malawi. Trop Med Int Health 2019;24:817–28Google ScholarPubMed
Sandström, J, Swanepoel, DW, Myburgh, H, Laurent, C. Smartphone threshold audiometry in underserved primary health-care contexts. Int J Audiol 2016;55:232–8CrossRefGoogle ScholarPubMed
Eksteen, S, Launer, S, Kuper, H, Eikelboom, RH, Bastawrous, A, Swanepoel, W. Hearing and vision screening for preschool children using mobile technology, South Africa. Bull World Health Organ 2019;97:672–80CrossRefGoogle ScholarPubMed
Bornman, M, Swanepoel, DW, De Jager, LB, Eikelboom, RH. Extended high-frequency smartphone audiometry: validity and reliability. J Am Acad Audiol 2019;30:217–26Google ScholarPubMed
Campbell, K. Pharmacology and Ototoxicity for Audiologists. New York: Delmar Cengage Learning, 2007Google Scholar
Sennheiser HDA300. Test report audiometric headphones. Physikalisch-Technische Bundesanstalt (PTB), Braunschweig, Germany. Ref no: 1.61–4064893/13. In: https://assets.sennheiser.com/global-downloads/file/4745/HDA300_References_1018.pdf [19 October 2022]Google Scholar
Swanepoel, DW, Myburgh, HC, Howe, DM, Mahomed, F, Eikelboom, RH. Smartphone hearing screening with integrated quality control and data management. Int J Audiol 2014; 53:841–9CrossRefGoogle ScholarPubMed
Mathers, C, Smith, A, Concha, M. Global burden of hearing loss in the year 2000. Global Burden Dis 2000;18:130Google Scholar
American Speech-Language-Hearing Association (1994). Guidelines for the audiologic management of individuals receiving cochleotoxic drug therapy. ASHA 1994;36(suppl.12:)11–19. In: https://www.asha.org/policy/gl1994-00003/ [19 October 2022]Google Scholar
Langer, T, am Zehnhoff-Dinnesen, A, Radtke, S, Meitert, J, Zolk, O. Understanding platinum-induced ototoxicity. Trends Pharmacol Sci 2013;34:458–69CrossRefGoogle ScholarPubMed
Field, A. Discovering Statistics Using IBM SPSS Statistics, 5th edn. London: Sage, 2018Google Scholar
Reavis, KM, McMillan, G, Austin, D, Gallun, F, Fausti, SA, Gordon, JS et al. Distortion-product otoacoustic emission test performance for ototoxicity monitoring. Ear Hear 2011;32:61CrossRefGoogle ScholarPubMed
Jacob, LC, Aguiar, FP, Tomiasi, AA, Tschoeke, SN, Bitencourt, RF. Auditory monitoring in ototoxicity. Rev Bras Otorhinolaringol 2006;72:836–44Google ScholarPubMed
Pearson, SE, Taylor, J, Patel, P, Baguley, DM. Cancer survivors treated with platinum-based chemotherapy affected by ototoxicity and the impact on quality of life: a narrative synthesis systematic review. Int J Audiol 2019;58:685–95CrossRefGoogle ScholarPubMed
Hunter, LL, Monson, BB, Moore, DR, Dhar, S, Wright, BA, Munro, KJ et al. Extended high frequency hearing and speech perception implications in adults and children. Hear Res 2020;397:107922CrossRefGoogle ScholarPubMed
Singh Chauhan, R, Kumar Saxena, R, Varshey, S. The role of ultrahigh-frequency audiometry in the early detection of systemic drug-induced hearing loss. Ear Nose Throat J 2011;90:218–22CrossRefGoogle ScholarPubMed
Le Prell, CG, Spankovich, C, Lobariñas, E, Griffiths, SK. Extended high-frequency thresholds in college students: effects of music player use and other recreational noise. J Am Acad Audiol 2013;24:725–39Google ScholarPubMed
Figure 0

Table 1. Characteristics of participants*

Figure 1

Table 2. Description and outcomes of pure tone testing for baseline and exit testing*

Figure 2

Fig. 1. Mean frequency-specific thresholds for baseline and exit testing and error bars showing difference between baseline and exit testing.

Figure 3

Table 3. Mean PTA differences from baseline to exit testing for specific platinum-based compounds