IMPORTANCE Accurate, accessible predictions of posttreatment hearing loss for patients with head and neck cancer prior to the initiation of treatment are a necessary part of informed patient decision-making.OBJECTIVE To develop a prediction model for postradiotherapy and/or post-cisplatin chemotherapy hearing loss for patients with head and neck cancer. DESIGN, SETTING, AND PARTICIPANTSA retrospective cohort study was conducted at a tertiary academic medical center among 242 patients (482 ears) with head and neck cancer who were treated with radiotherapy and/or cisplatin from October 1, 2014, to July 31, 2018, and had follow-up audiometric data available. EXPOSURES Radiotherapy and cisplatin chemotherapy.MAIN OUTCOMES AND MEASURES Patient hearing level, as measured by the mean of pure tone audiometry at 1, 2, and 4 kHz on completion of treatment. A multivariable mixed model for predicting the posttreatment pure tone average was developed using only information available to clinicians at the beginning of treatment.RESULTS A total of 242 patients (482 ears; 56 women and 186 men; mean [SD] age, 60 [10] years) were included in the analysis. All patients in the study received radiotherapy, and 105 (43.4%) received cisplatin chemotherapy. The mean (SD) total cumulative cisplatin dose was 298 (109) mg/m 2 . Patients' ears received a mean (SD) cochlear radiotherapy dose of 15 (13) Gy. The fixed-effects predictions from the predictive model agreed with 77% (95% CI, 73%-81%) of the variability in the posttreatment pure tone average. This predictive model also had a sensitivity of 80% and a specificity of 75% for predicting an observed posttreatment pure tone average greater than 35 dB (area under the receiver operating characteristic curve, 0.85). CONCLUSIONS AND RELEVANCETo our knowledge, this study develops the first accurate prediction model of posttreatment hearing in patients with head and neck cancer that is feasible for use in the clinical setting before the initiation of treatment. This research confirms that exposure of the cochlea to cisplatin chemotherapy and radiotherapy is associated with hearing loss in patients with head and neck cancer. Finally, this research motivates future studies of ototoxic effects to better understand the adverse effects of head and neck cancer treatment.

Background Little is known about patient factors that might influence outcomes of tinnitus interventions. Determining such factors would offer insights into why some individuals benefit from tinnitus intervention whereas others do not. Purpose The purpose of this study was to evaluate selected patient factors that may be associated with outcomes of tinnitus intervention. Factors studied include demographics, tinnitus characteristics, psychoacoustic tinnitus measures, audiometric data, and overall physical/emotional health status. Research Design A retrospective analysis was performed on data obtained from a controlled clinical study that compared factors associated with tinnitus relief after tinnitus masking and tinnitus retraining therapy. Study Sample A total of 126 military veterans participated in this controlled clinical study. Of these, 89 completed outcome measures at both baseline and 12 mo and were included in the present analysis. Data Collection and Analysis A “responder” to intervention was identified as having a decrease (improvement) of 20 or more points on the Tinnitus Handicap Inventory between baseline and 12 mo. A “nonresponder” did not achieve a 20-point improvement on the Tinnitus Handicap Inventory. Individual patient factors were examined using independent t-tests or χ2 analysis. A logistic regression model was used to determine how well each factor predicted treatment outcome (responder or nonresponder) while controlling for each of the other factors. Results Five patient factors were significantly different (p ≤ 0.05) between responders and nonresponders. Responders tended to (1) be younger in age; (2) have better low-frequency hearing sensitivity; (3) have greater problems with overall hearing; (4) be more likely to have tinnitus for shorter durations; and (5) perceive their tinnitus to be located “in the head” versus “in the ears.” A logistic regression was then performed to determine how well each factor predicted the treatment outcome (responder versus nonresponder) while controlling for each of the other factors. Results from the logistic regression revealed two of the five factors, localization of tinnitus and self-report of hearing problems, to be statistically significant. Conclusions Examining the association of individual patient factors to a specific tinnitus intervention yielded several significant findings. Although these findings are not definitive, they reveal the capability that exists to perform these kinds of analyses to investigate relationships between individual patient characteristics and outcomes of intervention for tinnitus. Prospective research using systematic approaches is needed to identify these relationships that would contribute toward the ability to differentially predict outcomes of various tinnitus interventions. Obtaining this information would lead to more targeted therapy and ultimately more effective intervention.

No abstract