Longitudinal Changes in Audiometric Phenotypes of Age-Related Hearing Loss

被引:25
作者
Vaden, Kenneth I., Jr. [1 ]
Matthews, Lois J. [1 ]
Eckert, Mark A. [1 ]
Dubno, Judy R. [1 ]
机构
[1] Med Univ South Carolina, Dept Otolaryngol Head & Neck Surg, Hearing Res Program, 135 Rutledge Ave,MSC 550, Charleston, SC 29425 USA
来源
JARO-JOURNAL OF THE ASSOCIATION FOR RESEARCH IN OTOLARYNGOLOGY | 2017年 / 18卷 / 02期
基金
美国国家卫生研究院;
关键词
metabolic presbyacusis; sensory presbyacusis; animal models; audiogram classification; longitudinal; supervised machine learning classifiers; PRESBYCUSIS; THRESHOLDS; PATHOLOGY; GERBIL; NOISE; MEN;
D O I
10.1007/s10162-016-0596-2
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
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.
引用
收藏
页码:371 / 385
页数:15
相关论文
共 23 条
  • [1] Presbycusis phenotypes form a heterogeneous continuum when ordered by degree and configuration of hearing loss
    Allen, Paul D.
    Eddins, David A.
    [J]. HEARING RESEARCH, 2010, 264 (1-2) : 10 - 20
  • [2] American National Standards Institute, 2010, S362010 ANSI
  • [3] AMERICAN SPEECH-LANGUAGE-HEARING ASSOCIATION, 2005, GUID MAN PUR TONC TH
  • [4] The 5-year incidence and progression of hearing loss - The Epidemiology of Hearing Loss Study
    Cruickshanks, KJ
    Tweed, TS
    Wiley, TL
    Klein, BEK
    Klein, R
    Chappell, R
    Nondahl, DM
    Dalton, DS
    [J]. ARCHIVES OF OTOLARYNGOLOGY-HEAD & NECK SURGERY, 2003, 129 (10) : 1041 - 1046
  • [5] Audiometric shape and presbycusis
    Demeester, Kelly
    van Wieringen, Astrid
    Hendrickx, Jan-jaap
    Topsakal, Vedat
    Fransen, Erik
    van Laer, Lut
    Van Camp, Guy
    Van de Heyning, Paul
    [J]. INTERNATIONAL JOURNAL OF AUDIOLOGY, 2009, 48 (04) : 222 - 232
  • [6] EFFECTS OF AGE AND MILD HEARING-LOSS ON SPEECH RECOGNITION IN NOISE
    DUBNO, JR
    DIRKS, DD
    MORGAN, DE
    [J]. JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 1984, 76 (01) : 87 - 96
  • [7] Classifying Human Audiometric Phenotypes of Age-Related Hearing Loss from Animal Models
    Dubno, Judy R.
    Eckert, Mark A.
    Lee, Fu-Shing
    Matthews, Lois J.
    Schmiedt, Richard A.
    [J]. JARO-JOURNAL OF THE ASSOCIATION FOR RESEARCH IN OTOLARYNGOLOGY, 2013, 14 (05): : 687 - 701
  • [8] Longitudinal changes in hearing sensitivity among men: The Veterans Affairs Normative Aging Study
    Echt, Katharina V.
    Smith, Sherri L.
    Burridge, Andrea Backscheider
    Spiro, Avron, III
    [J]. JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 2010, 128 (04) : 1992 - 2002
  • [9] Predicting sample size required for classification performance
    Figueroa, Rosa L.
    Zeng-Treitler, Qing
    Kandula, Sasikiran
    Ngo, Long H.
    [J]. BMC MEDICAL INFORMATICS AND DECISION MAKING, 2012, 12
  • [10] Longitudinal threshold changes in older men with audiometric notches
    Gates, GA
    Schmid, P
    Kujawa, SG
    Nam, BH
    D'Agostino, R
    [J]. HEARING RESEARCH, 2000, 141 (1-2) : 220 - 228