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Advances in the Diagnosis, Treatment, and Prognosis of Hearing Loss
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Advances in the Diagnosis, Treatment, and Prognosis of Hearing Loss

A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Otolaryngology".

Deadline for manuscript submissions: closed (1 May 2024) | Viewed by 1358

Special Issue Editors

Prof. Dr. Lone Marianne Percy-Smith

E-Mail Website
Guest Editor
Copenhagen Hearing and Balance Center, Ear, Nose and Throat (ENT) and Audiology Clinic, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
Interests: pediatric audiology; longitudinal outcome studies; cochlear implantation; rehabilitation; auditory verbal practice; emerging technologies; virtual and augmented reality
Prof. Dr. Per Caye-Thomasen

E-Mail Website
Guest Editor
Copenhagen Hearing and Balance Center, Ear, Nose and Throat (ENT) and Audiology Clinic, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
Interests: hearing rehabilitation; cochlear implantation; outcome studies
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Hearing loss (HL) is an increasing concern in modern society. The introduction of universal hearing screening, early diagnosis of HL, early intervention with hearing technology (hearing aids (HA), cochlear implants (CI)), and clinical treatments combined with specific educational intervention have markedly changed the lives of children and adults with HL. New generations with HL are emerging, and it has been documented that medical–surgical, technical, and educational interventions have allowed people with HL to achieve outcomes of audition and language never before documented for those with severe HL. It is, however,  important to recognize that even though HL is treated with state-of-the-art hearing technology, people with HL do not have normal hearing (NH). Distance to the sound signal and background noise are still challenging for any person with HL. Therefore, it is of utmost importance to bring together updated knowledge on the emerging new generations with a specific focus on how challenges are solved around the globe.

Aim and scope of this Special Issue:

This Special Issue aims to provide information on studies that focus on the diagnosis, screening, nonsurgical interventions, clinical treatments, and prognosis of HL.

Prof. Dr. Lone Marianne Percy-Smith
Prof. Dr. Per Caye-Thomasen
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Clinical Medicine is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • hearing loss
  • hearing aids
  • cochlear implants
  • nonsurgical interventions
  • quality of life

Published Papers (2 papers)

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Research

14 pages, 3633 KiB  
Article
Hearing Recovery Prediction for Patients with Chronic Otitis Media Who Underwent Canal-Wall-Down Mastoidectomy
by Minsu Chae, Heesoo Yoon, Hwamin Lee and June Choi
J. Clin. Med. 2024, 13(6), 1557; https://doi.org/10.3390/jcm13061557 - 08 Mar 2024
Viewed by 488
Abstract
Background: Chronic otitis media affects approximately 2% of the global population, causing significant hearing loss and diminishing the quality of life. However, there is a lack of studies focusing on outcome prediction for otitis media patients undergoing canal-wall-down mastoidectomy. Methods: This study proposes [...] Read more.
Background: Chronic otitis media affects approximately 2% of the global population, causing significant hearing loss and diminishing the quality of life. However, there is a lack of studies focusing on outcome prediction for otitis media patients undergoing canal-wall-down mastoidectomy. Methods: This study proposes a recovery prediction model for chronic otitis media patients undergoing canal-wall-down mastoidectomy, utilizing data from 298 patients treated at Korea University Ansan Hospital between March 2007 and August 2020. Various machine learning techniques, including logistic regression, decision tree, random forest, support vector machine (SVM), extreme gradient boosting (XGBoost), and light gradient boosting machine (light GBM), were employed. Results: The light GBM model achieved a predictive value (PPV) of 0.6945, the decision tree algorithm showed a sensitivity of 0.7574 and an F1 score of 0.6751, and the light GBM algorithm demonstrated the highest AUC-ROC values of 0.7749 for each model. XGBoost had the most efficient PR-AUC curve, with a value of 0.7196. Conclusions: This study presents the first predictive model for chronic otitis media patients undergoing canal-wall-down mastoidectomy. The findings underscore the potential of machine learning techniques in predicting hearing recovery outcomes in this population, offering valuable insights for personalized treatment strategies and improving patient care. Full article
(This article belongs to the Special Issue Advances in the Diagnosis, Treatment, and Prognosis of Hearing Loss)
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11 pages, 2281 KiB  
Article
Factors Predicting Subjective Satisfaction for Successful Hearing Aid Adaptation
by Jeong Hun Jang, Jungho Ha, Oak-Sung Choo, Young Sook Kang, Hun Yi Park and Yun-Hoon Choung
J. Clin. Med. 2024, 13(2), 398; https://doi.org/10.3390/jcm13020398 - 11 Jan 2024
Viewed by 575
Abstract
(1) Background: For successful hearing aid (HA) use during daily life, an objective parameter reflecting the subjective satisfaction is required. We explored the aided hearing status, hearing in noise test (HINT) scores, and subjective outcomes to predict performance improvements in everyday living. (2) [...] Read more.
(1) Background: For successful hearing aid (HA) use during daily life, an objective parameter reflecting the subjective satisfaction is required. We explored the aided hearing status, hearing in noise test (HINT) scores, and subjective outcomes to predict performance improvements in everyday living. (2) Methods: A total of 406 patients with hearing loss (HL) who were prescribed HAs were included and were divided into two groups according to the symmetricity of HL. The relationship between audiometric data and subjective questionnaires under unaided and aided (3 months) conditions were investigated. (3) Results: Patients with symmetric HL showed a significant HINT signal-to-noise ratio (SNR) change and significant increase in their subjective satisfaction questionnaire score under the bilateral HA condition. On the other hand, the HINT SNR change and subjective questionnaire score showed various significances according to the side of HA (better or worse hearing) in asymmetric HL HINT SNR and was significantly correlated with the subjective questionnaire score in symmetric HL patients and AHL patients with unilateral HA in their better ear. (4) Conclusions: The HINT SNR improvement after long-term HA use could be an effective tool for predicting the subjective satisfaction of HA use and HA validation. Full article
(This article belongs to the Special Issue Advances in the Diagnosis, Treatment, and Prognosis of Hearing Loss)
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