Literature DB >> 33625199

Audiometric Pattern in Moderate and Severe Tympanic Membrane Retraction.

Inesângela Canali1, Letícia Petersen Schmidt Rosito2, Vittoria Dreher Longo3, Sady Selaimen da Costa2.   

Abstract

OBJECTIVE: To evaluate the audiometric pattern in moderate/severe retractions of the tympanic membrane and correlate it with the severity of the otoscopy findings. STUDY
DESIGN: Cross-sectional study.
SETTING: Tertiary hospital. PATIENTS: Consecutive patients with moderate or severe tympanic membrane retraction in at least one ear (451 ears) between August 2000 and January 2019, and no surgical history or effusion (mean [standard deviation] age, 32.8 [20.2] yr; 54% female and 42.4% children). INTERVENTION: Pure-tone audiometry. MAIN OUTCOME MEASURES: Air conduction (AC) and bone conduction thresholds, and air-bone gap (ABG) measured at the four-frequency pure-tone average.
RESULTS: The median in decibel hearing level (dB HL) (minimum-maximum) of the AC, BC, and ABG were 25 dB HL (0-120 dB HL), 10 dB HL (0-75 dB HL), and 12.5 dB HL (0-55 dB HL), respectively. Seventy-two percent of the ears had an ABG ≤ 20 dB HL. For severity of the retraction of pars flaccida (PF), the AC, bone conduction, and ABG were similar across groups, with a weak correlation. For the pars tensa (PT), there was a global difference in the medians of AC and ABG in terms of the degree of severity, with a moderate correlation. Retraction in PF and PT at the same time was observed in 6 4% of the ears. ABG median was lower in ears with PF retraction (6.25 dB HL) than PT retraction, isolated (15 dB HL) or not (13.75 dB HL; p < 0.05).
CONCLUSION: The ABG pure-tone average median was higher when PT was involved. We found a significant correlation between the retraction severity and worsening of AC and ABG thresholds, only for PT.
Copyright © 2021, Otology & Neurotology, Inc.

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Mesh:

Year:  2021        PMID: 33625199     DOI: 10.1097/MAO.0000000000003099

Source DB:  PubMed          Journal:  Otol Neurotol        ISSN: 1531-7129            Impact factor:   2.311


  1 in total

1.  A Deep Learning Approach to Predict Conductive Hearing Loss in Patients With Otitis Media With Effusion Using Otoscopic Images.

Authors:  Junbo Zeng; Weibiao Kang; Suijun Chen; Yi Lin; Wenting Deng; Yajing Wang; Guisheng Chen; Kai Ma; Fei Zhao; Yefeng Zheng; Maojin Liang; Linqi Zeng; Weijie Ye; Peng Li; Yubin Chen; Guoping Chen; Jinliang Gao; Minjian Wu; Yuejia Su; Yiqing Zheng; Yuexin Cai
Journal:  JAMA Otolaryngol Head Neck Surg       Date:  2022-07-01       Impact factor: 8.961

  1 in total

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