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Longitudinal Changes in Audiometric Phenotypes of Age-Related Hearing Loss.

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TLDR
Although hearing loss increased systematically with increasing age, audiometric phenotypes remained stable for the majority of ears over an average of 5.5 years, consistent with the conclusion that the likelihood of metabolic presbyacusis increases with increasingAge in middle to older adulthood.
Abstract
Presbyacusis, or age-related hearing loss, can be characterized in humans as metabolic and sensory phenotypes, based on patterns of audiometric thresholds that were established in animal models. The metabolic phenotype is thought to result from deterioration of the cochlear lateral wall and reduced endocochlear potential that decreases cochlear amplification and produces a mild, flat hearing loss at lower frequencies coupled with a gradually sloping hearing loss at higher frequencies. The sensory phenotype, resulting from environmental exposures such as excessive noise or ototoxic drugs, involves damage to sensory and non-sensory cells and loss of the cochlear amplifier, which produces a 50-70 dB threshold shift at higher frequencies. The mixed metabolic + sensory phenotype exhibits a mix of lower frequency, sloping hearing loss similar to the metabolic phenotype, and steep, higher frequency hearing loss similar to the sensory phenotype. The current study examined audiograms collected longitudinally from 343 adults 50-93 years old (n = 686 ears) to test the hypothesis that metabolic phenotypes increase with increasing age, in contrast with the sensory phenotype. A Quadratic Discriminant Analysis (QDA) was used to classify audiograms from each of these ears as (1) Older-Normal, (2) Metabolic, (3) Sensory, or (4) Metabolic + Sensory phenotypes. Although hearing loss increased systematically with increasing age, audiometric phenotypes remained stable for the majority of ears (61.5 %) over an average of 5.5 years. Most of the participants with stable phenotypes demonstrated matching phenotypes for the left and right ears. Audiograms were collected over an average period of 8.2 years for ears with changing audiometric phenotypes, and the majority of those ears transitioned to a Metabolic or Metabolic + Sensory phenotype. These results are consistent with the conclusion that the likelihood of metabolic presbyacusis increases with increasing age in middle to older adulthood.

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Citations
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Journal ArticleDOI

Age-Related Hearing Loss Associations With Changes in Brain Morphology:

TL;DR: Results indicate that there are at least two mechanisms for associations between age-related hearing loss and brain morphology, and potential explanations for a direct hearing loss effect on brain morphology as well as latent variables that likely affect both the inner ear and brain are discussed.
Journal ArticleDOI

Data-driven segmentation of audiometric phenotypes across a large clinical cohort.

TL;DR: An objective probabilistic model that accounted for all of the data identified an organized, but more heterogenous set of audiogram types that was consistent across two large clinical databases.
Journal ArticleDOI

Forgotten Fibrocytes: A Neglected, Supporting Cell Type of the Cochlea With the Potential to be an Alternative Therapeutic Target in Hearing Loss

TL;DR: This review explores the properties and roles of this neglected cell type and suggests potential therapeutic approaches, such as cell transplantation or genetic engineering of fibrocytes, which could be used to prevent this form of presbycusis or provide a therapeutic avenue for MD.
Journal ArticleDOI

Translational and interdisciplinary insights into presbyacusis: A multidimensional disease.

TL;DR: Presbyacusis presents with metabolic, neural, and/or sensory phenotypes, including single-gene variants, and there appear to be downstream effects of presbyzacis on brain function and structure.
Journal ArticleDOI

Identification of the Spectrotemporal Modulations That Support Speech Intelligibility in Hearing-Impaired and Normal-Hearing Listeners.

TL;DR: It is concluded that OHI/older normal-hearing listeners rely on the same speech STMs as YNH listeners but encode this information less efficiently.
References
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Journal ArticleDOI

Cochlear pathology in presbycusis.

TL;DR: A survey of the temporal bone collection at the Massachusetts Eye and Ear Infirmary reveals 21 cases that meet the criterion for the clinical diagnosis of presbycusis, and it is evident that the previously advanced concept of four predominant pathologic types of pres bycusis is valid.
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Acceleration of Age-Related Hearing Loss by Early Noise Exposure: Evidence of a Misspent Youth

TL;DR: Comparing noise-induced and age-related hearing loss in groups of CBA/CaJ mice exposed identically but at different ages and held with unexposed cohorts for different postexposure times suggests that pathologic but sublethal changes initiated by early noise exposure render the inner ears significantly more vulnerable to aging.
Journal ArticleDOI

Effects of age and mild hearing loss on speech recognition in noise

TL;DR: Using an adaptive strategy, the effects of mild sensorineural hearing loss and adult listeners' chronological age on speech recognition in babble were evaluated and subjects with mild hearing loss performed significantly worse than their normal-hearing counterparts.
Journal ArticleDOI

Predicting sample size required for classification performance

TL;DR: A simple and effective sample size prediction algorithm that conducts weighted fitting of learning curves and outperformed an un-weighted algorithm described in previous literature can help researchers determine annotation sample size for supervised machine learning.
Journal ArticleDOI

The 5-year incidence and progression of hearing loss: the epidemiology of hearing loss study.

TL;DR: Age was an important risk factor for both incidence and progression of hearing impairment, and male sex, occupation, and education were associated with the incidence of hearing loss after adjusting for age.
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