Literature DB >> 20144701

Presbycusis phenotypes form a heterogeneous continuum when ordered by degree and configuration of hearing loss.

Paul D Allen1, David A Eddins.   

Abstract

Many reports have documented age-by-frequency increases in average auditory thresholds in various human populations. Despite this, the prevalence of different patterns of hearing loss in presbycusis remains uncertain. We examined 'presbycusis phenotypes' in a database of 960 subjects (552 female, 408 male, 18-92 years) that each had 30 measures of peripheral hearing sensitivity: pure tone audiograms for left and right ears from 0.25 to 8 kHz and DPOAE for each ear with F(mean)=1-6.4 kHz. Surprisingly, the hearing phenotypes did not naturally separate into discrete classes of presbycusis. Principal component (PC) analysis revealed that two principal components account for 74% of the variance among the 30 measures of hearing. The two components represent the overall degree (PC1) and configuration of loss (Flat vs. Sloping; PC2) and the phenotypes form a continuum when plotted against them. A heuristic partitioning of this continuum produced classes of presbycusis that vary in their degree of Sloping or Flat hearing loss, suggesting that the previously reported sub-types of presbycusis arise from the categorical segregation of a continuous and heterogeneous distribution. Further, most phenotypes lie intermediate to the extremes of either Flat or Sloping loss, indicating that if audiometric configuration does predict presbycusis etiology, then a mixed origin is the most prevalent. Copyright 2010 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 20144701      PMCID: PMC2868118          DOI: 10.1016/j.heares.2010.02.001

Source DB:  PubMed          Journal:  Hear Res        ISSN: 0378-5955            Impact factor:   3.208


  33 in total

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Authors:  S L Urben; M S Benninger; N D Gibbens
Journal:  Otolaryngol Head Neck Surg       Date:  1999-06       Impact factor: 3.497

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Journal:  J Acoust Soc Am       Date:  1990-08       Impact factor: 1.840

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4.  A Novel Method for Classifying Hearing Impairment in Epidemiological Studies of Aging: The Wisconsin Age-Related Hearing Impairment Classification Scale.

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Review 5.  Why Do Hearing Aids Fail to Restore Normal Auditory Perception?

Authors:  Nicholas A Lesica
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6.  Classifying human audiometric phenotypes of age-related hearing loss from animal models.

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Journal:  J Assoc Res Otolaryngol       Date:  2013-06-06

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

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Review 8.  How aging impacts the encoding of binaural cues and the perception of auditory space.

Authors:  Ann Clock Eddins; Erol J Ozmeral; David A Eddins
Journal:  Hear Res       Date:  2018-05-05       Impact factor: 3.208

9.  Large cross-sectional study of presbycusis reveals rapid progressive decline in auditory temporal acuity.

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Journal:  Neurobiol Aging       Date:  2016-04-04       Impact factor: 4.673

Review 10.  Chemotherapy-induced peripheral neurotoxicity and ototoxicity: new paradigms for translational genomics.

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