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 2 publications

(3 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…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

View full text Add to dashboard Cite

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.

show abstract

Section: Discussionmentioning

confidence: 99%

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

Curtis¹,

Shaw²,

Malik³

et al. 2023

Cureus

View full text Add to dashboard Cite

show abstract

“…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

View full text Add to dashboard Cite

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.

show abstract

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

Cited by 2 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

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

Contact Info

Product

Resources

About