A Hospital based study on sudden sensorineural Hearing Loss: It’s audiological characteristics and prevalence

Naz, Erum; Saqulain, Ghulam; Mumtaz, Nazia; Babur, Muhammad

doi:10.12669/pjms.37.4.3851

Cited by 4 publications

(4 citation statements)

References 15 publications

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“…The exact prevalence rate is difficult to determine as it depends on factors such as population size and age, the definition of sudden hearing loss, and data collection methods. However, some estimates suggest that the prevalence of SSNHL may be as low as 1-2 cases per 100,000 individuals per year [ 7 ]. It is also worth noting that the prevalence of SSNHL may be underreported as some people may delay medical evaluation and treatment.…”

Section: Discussionmentioning

confidence: 99%

Cochlear Implant After Sudden Onset Sensorineural Hearing Loss: A Case Report

Curtis¹,

Shaw²,

Malik³

et al. 2023

Cureus

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We present an uncommon case of a pediatric patient with sudden-onset sensorineural hearing loss (SSNHL), a medical condition in which a person experiences a rapid loss of 30 or more decibels within a matter of hours or days. The patient is a nine-year-old female who, two years prior, suddenly lost hearing in her left ear after a 24-hour episode of nausea, vomiting, and left ear pain. She presented to our clinic two years after the episode, long after the window for evidence-based treatment for acute SSNHL, such as corticosteroid therapy or antivirals, had passed. However, she remembered the moment of her hearing loss vividly, an uncommon occurrence in pediatric patients. CT, MRI, family history, and physical exam were unremarkable. The patient had a brief hearing aid trial where she described being able to hear the sound but did not have any clarity in understanding the sound. The patient was ultimately treated with a unilateral cochlear implant and showed excellent subjective and audiogram responses. Continued research on the management of SSNHL in pediatric patients who present outside of the acute therapeutic window is needed.

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Section: Discussionmentioning

confidence: 99%

Cochlear Implant After Sudden Onset Sensorineural Hearing Loss: A Case Report

Curtis¹,

Shaw²,

Malik³

et al. 2023

Cureus

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“… 1 Presently, the precise etiology of peripheral vestibular vertigo remains elusive within clinical practice, with a multitude of factors such as trauma, infection, inflammation, viral agents, and endolymphatic hydrops being deemed as potential contributors. 2 …”

Section: Introductionmentioning

confidence: 99%

Clinical efficacy of vestibular assessment and rehabilitation training in peripheral vestibular vertigo

Wang,

Zheng,

et al. 2024

Pak J Med Sci

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Objective: To evaluate the clinical efficacy of vestibular assessment and rehabilitation training in patients with peripheral vestibular vertigo. Method: This was a retrospective study. A total of 169 patients diagnosed with peripheral vestibular vertigo, admitted to Cangzhou People’s Hospital between January 2020 and January 2023 were divided into control group (83 cases) and observation group (86 cases). The control group received medication-based treatment, while the observation group was provided with combined treatment of medication and vestibular rehabilitation training. Assessment of recovery included the Dizziness Handicap Inventory (DHI), Vestibular Symptom Index (VSI), and Activities-specific Balance Confidence (ABC) scale before and at two, four, and eight weeks post-treatment. Psychological status, sleep quality, and life quality were evaluated. Both groups underwent the Fukuda stepping test and timed balance test. Result: At two, four, and eight weeks post‐treatment, both groups exhibited significantly lower DHI‐P, DHI‐F, DHI‐E, VSI, and ABC scores compared to pre‐treatment (p<0.05). The observation group showed significantly lower DHI‐P, DHI‐F, DHI‐E, VSI, and ABC scores than the control group at two and four weeks post‐treatment (p<0.05). After treatment, both groups demonstrated reduced body deviation angles and increased time without falling in the Fukuda stepping test (p<0.05). Notably, the observation group had significantly better outcomes (p<0.05). Conclusion: In comparison to medication‐based treatment alone, a combined approach involving medication treatment and vestibular rehabilitation training may demonstrate early improvements in vertigo symptoms, enhance balance capabilities, and ameliorate psychological well‐being, sleep quality, and overall quality of life for patients. doi: https://doi.org/10.12669/pjms.40.7.8662 How to cite this: Wang H, Zheng J, Li F, Feng C, Zhang N. Clinical efficacy of vestibular assessment and rehabilitation training in peripheral vestibular vertigo. Pak J Med Sci. 2024;40(7):---------. doi: https://doi.org/10.12669/pjms.40.7.8662 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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“…1 However, the incidence increases with age; the highest occurs in their 50s to 60s, 6,7 with equal sex distribution. 8 SSNHL can be accompanied by other co-morbidities such as tinnitus, vertigo, and ear fullness. 9 Despite the significant prevalence of SSNHL, the underlying pathogenesis remains debatable and is being analyzed.…”

Section: Introductionmentioning

confidence: 99%

“…1 However, the incidence increases with age; the highest occurs in their 50s to 60s, 6,7 with equal sex distribution. 8…”

Section: Introductionmentioning

confidence: 99%

Machine Learning Models for Predicting Sudden Sensorineural Hearing Loss Outcome: A Systematic Review

Aghakhani,

Yousefi,

Yekaninejad

2023

Ann Otol Rhinol Laryngol

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Background: Machine Learning models have been applied in various healthcare fields, including Audiology, to predict disease outcomes. The prognosis of sudden sensorineural hearing loss is difficult to predict due to the variable course of the disease. Hence, researchers have attempted to utilize ML models to predict the outcome of patients with sudden sensorineural hearing loss. The objectives of this study were to review the performance of these machine learning models and assess their applicability in real-world settings. Methods: A systematic search was conducted in PubMed, Web of Science and Scopus. Only studies that built machine learning prediction models were included, and studies that used algorithms such as logistic regression only for the purpose of adjusting for confounding variables were excluded. The risk of bias was assessed using the Prediction model Risk of Bias Assessment Tool (PROBAST). Results: After screening, a total of 7 papers were eligible for synthesis. In total, these studies built 48 ML models. The most common utilized algorithms were Logistic Regression, Support Vector Machine (SVM) and boosting. The area under the curve of the receiver operating characteristic curve ranged between 0.59 and 0.915. All of the included studies had a high risk of bias; hence there are concerns regarding their applicability. Conclusion: Although these models showed great performance and promising results, future studies are still needed before these models can be applied in a real-world setting. Future studies should employ multiple cohorts, different feature selection methods, and external validation to further validate the models’ applicability.

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A Hospital based study on sudden sensorineural Hearing Loss: It’s audiological characteristics and prevalence

Cited by 4 publications

References 15 publications

Cochlear Implant After Sudden Onset Sensorineural Hearing Loss: A Case Report

Cochlear Implant After Sudden Onset Sensorineural Hearing Loss: A Case Report

Clinical efficacy of vestibular assessment and rehabilitation training in peripheral vestibular vertigo

Machine Learning Models for Predicting Sudden Sensorineural Hearing Loss Outcome: A Systematic Review

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