Literature DB >> 2329784

Acoustic reflex thresholds in normal and cochlear-impaired ears: effects of no-response rates on 90th percentiles in a large sample.

S A Gelfand1, T Schwander, S Silman.   

Abstract

Ninetieth percentile cutoffs for acoustic reflex thresholds (ARTs) were determined for a sample of 2,748 ears of 1,374 subjects with normal hearing and sensorineural loss of cochlear origin. All subjects had measurable hearing (less than or equal to 110 dB HL, ANSI-1969) at all three activator frequencies (500, 1000, and 2000 Hz). Cutoff values including "no responses" ("absent" reflexes at 125 dB HL) were higher than those excluding no responses when hearing losses were greater than about 55 dB. The 90th percentiles including the effects of no responses identified ears with retrocochlear involvement for hearing losses as great as about 756 dB. For greater hearing losses at the activator frequency, the no-response rate for both cochlear and retrocochlear cases is too high to enable them to be differentiated by acoustic reflex thresholds. The 90th percentiles are derived at each activator frequency collapsed across ears. It is therefore necessary to determine the probabilities that normal or cochlear-impaired ears will have one, two, or three frequencies at which the ARTs exceed their respective 90th percentiles. It was found that among normal and cochlear-impaired ears, 12.2% have one ART elevated above the 90th percentile, but only 5.6% have two or three elevated ARTs. Clinical implications are discussed.

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Mesh:

Year:  1990        PMID: 2329784     DOI: 10.1044/jshd.5502.198

Source DB:  PubMed          Journal:  J Speech Hear Disord        ISSN: 0022-4677


  14 in total

1.  Recognition of accented English in quiet by younger normal-hearing listeners and older listeners with normal-hearing and hearing loss.

Authors:  Sandra Gordon-Salant; Grace H Yeni-Komshian; Peter J Fitzgibbons
Journal:  J Acoust Soc Am       Date:  2010-07       Impact factor: 1.840

2.  Recognition of accented English in quiet and noise by younger and older listeners.

Authors:  Sandra Gordon-Salant; Grace H Yeni-Komshian; Peter J Fitzgibbons
Journal:  J Acoust Soc Am       Date:  2010-11       Impact factor: 1.840

3.  The role of temporal cues in word identification by younger and older adults: effects of sentence context.

Authors:  Sandra Gordon-Salant; Grace Yeni-Komshian; Peter Fitzgibbons
Journal:  J Acoust Soc Am       Date:  2008-11       Impact factor: 1.840

4.  Age effects in discrimination of repeating sequence intervals.

Authors:  Peter J Fitzgibbons; Sandra Gordon-Salant
Journal:  J Acoust Soc Am       Date:  2011-03       Impact factor: 1.840

5.  Age effects in discrimination of intervals within rhythmic tone sequences.

Authors:  Peter J Fitzgibbons; Sandra Gordon-Salant
Journal:  J Acoust Soc Am       Date:  2015-01       Impact factor: 1.840

6.  Age effects in discrimination of intervals within accented tone sequences differing in accent type and sequence presentation rate.

Authors:  Peter J Fitzgibbons; Sandra Gordon-Salant
Journal:  J Acoust Soc Am       Date:  2016-11       Impact factor: 1.840

7.  Reliability of Measures Intended to Assess Threshold-Independent Hearing Disorders.

Authors:  Aryn M Kamerer; Judy G Kopun; Sara E Fultz; Stephen T Neely; Daniel M Rasetshwane
Journal:  Ear Hear       Date:  2019 Nov/Dec       Impact factor: 3.570

8.  Age-related differences in discrimination of temporal intervals in accented tone sequences.

Authors:  Peter J Fitzgibbons; Sandra Gordon-Salant
Journal:  Hear Res       Date:  2009-12-03       Impact factor: 3.208

9.  Recognition of spectrally degraded phonemes by younger, middle-aged, and older normal-hearing listeners.

Authors:  Kara C Schvartz; Monita Chatterjee; Sandra Gordon-Salant
Journal:  J Acoust Soc Am       Date:  2008-12       Impact factor: 1.840

10.  Auditory analysis of xeroderma pigmentosum 1971-2012: hearing function, sun sensitivity and DNA repair predict neurological degeneration.

Authors:  Mariam B Totonchy; Deborah Tamura; Matthew S Pantell; Christopher Zalewski; Porcia T Bradford; Saumil N Merchant; Joseph Nadol; Sikandar G Khan; Raphael Schiffmann; Tyler Mark Pierson; Edythe Wiggs; Andrew J Griffith; John J DiGiovanna; Kenneth H Kraemer; Carmen C Brewer
Journal:  Brain       Date:  2013-01       Impact factor: 13.501

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