Hearing Loss

Seven-Year Revision Rates for Cochlear Implants in Pediatric and Adult Populations of an Integrated Healthcare System

OBJECTIVE

We assessed three cochlear implant (CI) suppliers: Advanced Bionics, Cochlear Limited, and MED-EL, for implant revision requiring reoperation after CI placement.

STUDY DESIGN

Retrospective cohort study of integrated-health-system database between 2010 and 2021. Separate models were created for pediatric (age <18) and adult (age ≥18) cohorts.

PATIENTS

Pediatric (age <18) and adult (age ≥18) patients undergoing cochlear implantation within our integrated healthcare system.

MAIN OUTCOME MEASURE

Revision after CI placement. Cox proportional hazard regression was used to evaluate revision risk and adjust for confounding factors. Hazard ratios (HRs) and 95% confidence intervals (CIs) are presented.

RESULTS

A total of 2,347 patients underwent a primary CI placement, and Cochlear Limited was most implanted (51.5%), followed by Advanced Bionics (35.2%) and MED-EL (13.3%). In the pediatric cohort, the 7-year crude revision rate was 10.9% for Advanced Bionics and 4.8% for Cochlear Limited, whereas MED-EL had insufficient cases. In adults, the rates were 9.1%, 4.5%, and 3.3% for Advanced Bionics, MED-EL, and Cochlear Limited, respectively. After 2 years of postoperative follow-up, Advanced Bionics had a significantly higher revision risk (HR = 8.25, 95% CI = 2.91-23.46); MED-EL had no difference (HR = 2.07, 95% CI = 0.46-9.25).

CONCLUSION

We found an increased revision risk after 2 years of follow-up for adults with Advanced Bionics CI devices. Although we found no statistical difference between manufacturers in the pediatric cohort, after 2 years of follow-up, there were increasing trends in the revision probability for Advanced Bionics. Further research may determine whether patients are better suited for some CI devices.

LINE-1 global DNA methylation, iron homeostasis genes, sex and age in sudden sensorineural hearing loss (SSNHL)

BACKGROUND

Sudden sensorineural hearing loss (SSNHL) is an abrupt loss of hearing, still idiopathic in most of cases. Several mechanisms have been proposed including genetic and epigenetic interrelationships also considering iron homeostasis genes, ferroptosis and cellular stressors such as iron excess and dysfunctional mitochondrial superoxide dismutase activity.

RESULTS

We investigated 206 SSNHL patients and 420 healthy controls for the following genetic variants in the iron pathway: SLC40A1 - 8CG (ferroportin; FPN1), HAMP - 582AG (hepcidin; HEPC), HFE C282Y and H63D (homeostatic iron regulator), TF P570S (transferrin) and SOD2 A16V in the mitochondrial superoxide dismutase-2 gene. Among patients, SLC40A1 - 8GG homozygotes were overrepresented (8.25% vs 2.62%; P = 0.0015) as well SOD2 16VV genotype (32.0% vs 24.3%; P = 0.037) accounting for increased SSNHL risk (OR = 3.34; 1.54-7.29 and OR = 1.47; 1.02-2.12, respectively). Moreover, LINE-1 methylation was inversely related (r2 = 0.042; P = 0.001) with hearing loss score assessed as pure tone average (PTA, dB HL), and the trend was maintained after SLC40A1 - 8CG and HAMP - 582AG genotype stratification (ΔSLC40A1 = + 8.99 dB HL and ΔHAMP = - 6.07 dB HL). In multivariate investigations, principal component analysis (PCA) yielded PC1 (PTA, age, LINE-1, HAMP, SLC40A1) and PC2 (sex, HFEC282Y, SOD2, HAMP) among the five generated PCs, and logistic regression analysis ascribed to PC1 an inverse association with moderate/severe/profound HL (OR = 0.60; 0.42-0.86; P = 0.0006) and with severe/profound HL (OR = 0.52; 0.35-0.76; P = 0.001).

CONCLUSION

Recognizing genetic and epigenetic biomarkers and their mutual interactions in SSNHL is of great value and can help pharmacy science to design by pharmacogenomic data classical or advanced molecules, such as epidrugs, to target new pathways for a better prognosis and treatment of SSNHL.

A Hybrid Deep Learning Approach to Identify Preventable Childhood Hearing Loss

OBJECTIVE

Childhood hearing loss has well-known, lifelong consequences. Infection-related hearing loss disproportionately affects underserved communities yet can be prevented with early identification and treatment. This study evaluates the utility of machine learning in automating tympanogram classifications of the middle ear to facilitate layperson-guided tympanometry in resource-constrained communities.

DESIGN

Diagnostic performance of a hybrid deep learning model for classifying narrow-band tympanometry tracings was evaluated. Using 10-fold cross-validation, a machine learning model was trained and evaluated on 4810 pairs of tympanometry tracings acquired by an audiologist and layperson. The model was trained to classify tracings into types A (normal), B (effusion or perforation), and C (retraction), with the audiologist interpretation serving as reference standard. Tympanometry data were collected from 1635 children from October 10, 2017, to March 28, 2019, from two previous cluster-randomized hearing screening trials (NCT03309553, NCT03662256). Participants were school-aged children from an underserved population in rural Alaska with a high prevalence of infection-related hearing loss. Two-level classification performance statistics were calculated by treating type A as pass and types B and C as refer.

RESULTS

For layperson-acquired data, the machine-learning model achieved a sensitivity of 95.2% (93.3, 97.1), specificity of 92.3% (91.5, 93.1), and area under curve of 0.968 (0.955, 0.978). The model's sensitivity was greater than that of the tympanometer's built-in classifier [79.2% (75.5, 82.8)] and a decision tree based on clinically recommended normative values [56.9% (52.4, 61.3)]. For audiologist-acquired data, the model achieved a higher AUC of 0.987 (0.980, 0.993), had an equivalent sensitivity of 95.2 (93.3, 97.1), and a higher specificity of 97.7 (97.3, 98.2).

CONCLUSIONS

Machine learning can detect middle ear disease with comparable performance to an audiologist using tympanograms acquired either by an audiologist or a layperson. Automated classification enables the use of layperson-guided tympanometry in hearing screening programs in rural and underserved communities, where early detection of treatable pathology in children is crucial to prevent the lifelong adverse effects of childhood hearing loss.

Associations among hearing loss, multiple co-occurring symptoms, and quality of life outcomes in cancer survivors

PURPOSE

Evaluate for differences in demographic and clinical characteristics, occurrence of common symptoms, symptom severity scores, and quality of life (QOL) outcomes in survivors with (n = 155) and without (n = 118) audiometrically confirmed hearing loss.

METHODS

Survivors, who were recruited from throughout the San Francisco Bay area, completed the self-report questionnaires to obtain the information of demographic and clinical characteristics; the occurrence and severity of depression, anxiety, fatigue, decrements in energy, sleep disturbance, pain, and cognitive impairment; and the general and cancer-specific QOL outcomes. Parametric and non-parametric tests were used to evaluate for differences between the two survivor groups.

RESULTS

Survivors with audiometrically confirmed hearing loss were older, more likely to be male, were more likely to be unemployed, report a lower annual household income, and had a higher comorbidity burden. Except for the severity of worst pain, no between-group differences were found in the occurrence rates for or severity of any of the symptoms. Survivors with hearing loss reported worse physical function and general health scores.

CONCLUSIONS

While no between-group differences in symptom occurrence rates and severity scores were found, across the total sample, a relatively high percentage of survivors who were over 6 years from their cancer diagnosis reported clinically meaningful levels of depression (25%), anxiety (50%), fatigue (40%), decrements in energy (70%), sleep disturbance (58%), cognitive impairment (57%), and pain (60%).

IMPLICATIONS FOR CANCER SURVIVORS

Clinicians need to perform routine assessments of hearing loss, as well as common co-occurring symptoms and initiate individualized symptom management interventions.

Cross-sectional and Longitudinal Associations Between Tinnitus and Mental Health in a Population-Based Sample of Middle-aged and Elderly Persons

Importance

Tinnitus is a common disorder, but its impact on daily life varies widely in population-based samples. It is unclear whether this interference in daily life is associated with mental health problems that are commonly detected in clinical populations.

Objective

To investigate the association of tinnitus and its interference in daily life with symptoms of depression and anxiety and poor sleep quality in a population-based sample of middle-aged and elderly persons in a cross-sectional analysis and during a 4-year follow-up.

Design, Setting, and Participants

This cohort study evaluated data from the population-based Rotterdam Study of individuals 40 years or older living in Rotterdam, the Netherlands. Between 2011 and 2016, data on tinnitus were obtained during a home interview at least once for 6128 participants. Participants with information on depressive and anxiety symptoms and self-rated sleep quality, with Mini-Mental State Examination scores indicating unimpaired cognition, and with repeatedly obtained tinnitus and mental health outcome data were included. Data analyses were conducted between September 2019 and April 2020.

Main Outcomes and Measures

The presence of tinnitus and its interference with daily life were assessed during a home interview. Depressive symptoms were assessed with the Center for Epidemiologic Studies-Depression, anxiety symptoms with the Hospital Anxiety and Depression Scale, and sleep quality with the Pittsburgh Sleep Quality Index. Linear regression analyses and linear mixed models adjusted for relevant confounders were used to assess the cross-sectional and longitudinal association of tinnitus with mental health.

Results

Of 5418 complete-case participants (mean [SD] age, 69.0 [9.8] years; 3131 [57.8%] women), 975 (mean [SD] age, 71.7 [4.5] years; 519 [53.2%] women) had repeated measurements available for follow-up analyses. Compared with participants without tinnitus and participants with nonbothersome tinnitus, participants with tinnitus interfering with daily life reported more depressive (difference, 0.20; 95% CI, 0.11-0.28) and anxiety (difference, 0.15; 95% CI, 0.08-0.22) symptoms and poorer sleep quality (difference, 0.10; 95% CI, 0.03-0.16). Compared with participants without tinnitus, participants with nonbothersome tinnitus also reported more depressive (difference, 0.06; 95% CI, 0.03-0.09) and anxiety (difference, 0.05; 95% CI, 0.02-0.07) symptoms and poorer sleep quality (difference, 0.05; 95% CI, 0.03-0.08). Individuals indicating more interference with daily life reported having more mental health problems. During a mean follow-up of 4.4 years (range, 3.5-5.1 years), participants with tinnitus reported more anxiety symptoms and poorer sleep quality than those without tinnitus.

Conclusions and Relevance

Findings of this population-based cohort study indicate that tinnitus was associated with more mental health problems in middle-aged and elderly persons in the general population, in particular when tinnitus interfered with daily life but not solely. Over time, more severe tinnitus was associated with an increase in anxiety symptoms and poor sleep quality. This outcome suggests that mental health problems may be part of the burden of tinnitus, even among individuals who do not report their tinnitus interfering with daily life.

Recent advancements in understanding the role of epigenetics in the auditory system

Sensorineural deafness in mammals is most commonly caused by damage to inner ear sensory epithelia, or hair cells, and can be attributed to genetic and environmental causes. After undergoing trauma, many non-mammalian organisms, including reptiles, birds, and zebrafish, are capable of regenerating damaged hair cells. Mammals, however, are not capable of regenerating damaged inner ear sensory epithelia, so that hair cell damage is permanent and can lead to hearing loss. The field of epigenetics, which is the study of various phenotypic changes caused by modification of genetic expression rather than alteration of DNA sequence, has seen numerous developments in uncovering biological mechanisms of gene expression and creating various medical treatments. However, there is a lack of information on the precise contribution of epigenetic modifications in the auditory system, specifically regarding their correlation with development of inner ear (cochlea) and consequent hearing impairment. Current studies have suggested that epigenetic modifications influence differentiation, development, and protection of auditory hair cells in cochlea, and can lead to hair cell degeneration. The objective of this article is to review the existing literature and discuss the advancements made in understanding epigenetic modifications of inner ear sensory epithelial cells. The analysis of the emerging epigenetic mechanisms related to inner ear sensory epithelial cells development, differentiation, protection, and regeneration will pave the way to develop novel therapeutic strategies for hearing loss.

[Hearing loss and social frailty in older men and women]

OBJECTIVE

To explore the association between hearing loss and social frailty in a sample of Spanish older adults recruited from primary health care network.

METHOD

Cross-sectional study on a sample of 445 non-institutionalized adults aged 65 or more years (190 men and 255 women), recruited from primary care centers in Spain. Three self-reported hearing impairment questions were used to assess hearing loss. Social frailty was deemed to exist when the person presented two or more of the following conditions: living alone, absence of a person to provide help, infrequent contact with family, infrequent contact with friends, lack of confident and lack of help for daily activities in the last 3 months. To study the association between hearing loss and social frailty we used logistic regression models adjusted for potential confounders, including physical frailty.

RESULTS

The mean age of participants was 76.2 years (77.5 years for women). More than half of the participants (54.4%) reported hearing loss and the frequency of social frailty was 23.2%. Hearing loss was associated with social frailty (adjusted odds ratio [aOR]=1.78; 95% confidence interval [95%CI]: 1.04-3.06). However, the association was sex-dependent (p for interaction=0.041). In stratified analysis, the association was only found in women (aOR=3.21; 95%CI: 1.44-7.17).

CONCLUSIONS

Hearing loss was associated with social frailty in women, but not in men. Longitudinal studies are needed to confirm this association and to understand the differential effect of gender.