Can telemedicine be used to differentially diagnose unilateral sudden hearing loss (SHL)?
This cohort study comprised 51 patients with unilateral SHL evaluated with a telemedicine model that included self-performed Weber tests and app-based audiometry. The model’s sensitivity, specificity, and accuracy for diagnosing sudden sensorineural hearing loss (SSNHL), defined as acute loss of 30 db or more in 3 or more consecutive frequencies, were 100%, 73.3%, and 84.3%, respectively.
Telemedicine may serve as a reliable primary tool for identifying patients with SSNHL who are in need of an urgent care but are remote from medical resources, especially during this era of COVID-19 pandemic.
Developing a telemedicine tool to discriminate between patients who need urgent treatment for sudden sensorineural hearing loss (SSNHL) from those who do not takes on special importance during the COVID-19 pandemic.
To explore the feasibility of a telemedicine model to assist in the evaluation of new-onset unilateral sudden hearing loss (SHL) among patients who do not have access to medical resources, especially during the COVID-19 pandemic.
Design, Setting, and Participants
This prospective cohort investigation of a telemedicine model was conducted at a tertiary referral medical center between May 2020 and January 2021, with the interpreting physician blinded to the results of formal audiograms. The study included a consecutive sample of adult patients (aged ≥18 years) referred to the otolaryngology emergency department in our medical center with the chief complaint of new-onset unilateral SHL.
The telemedicine model comprised 2 sequential steps: a Weber test using the Hum Test and a smartphone-based vibration, and uHear app-based audiometry.
Main Outcomes and Measures
Discrimination between patients with and without SSNHL by using the telemedicine model. All diagnoses subsequently confirmed by a formal audiogram.
Fifty-one patients with new-onset unilateral SHL participated in the study study (median age, 45 [range, 18-76] years; 28 [54.9%] men). The sensitivity and specificity of the telemedicine model for fulfilling the audiometric criteria of SSNHL (loss of ≥30 dB in ≥3 consecutive frequencies) were 100% (95% CI, 84%-100%) and 73% (95% CI, 54%-88%), respectively. The PPV was 72% (95% CI, 53%-87%), the NPV was 100% (95% CI, 85%-100%), and the accuracy was 84.3% (95% CI, 71%-93%). Although 8 participants had false-positive results, all of them had SSNHL that did not meet the full audiometric criteria.
Conclusions and Relevance
The telemedicine model presented in this study for the diagnosis of SSNHL is valid and reliable. It may serve as a primary tool for the discrimination between patients in need of urgent care for SSNHL from those who are not, especially during the COVID-19 pandemic.
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CME Disclosure Statement: Unless noted, all individuals in control of content reported no relevant financial relationships. If applicable, all relevant financial relationships have been mitigated.
Accepted for Publication: October 23, 2021.
Published Online: December 23, 2021. doi:10.1001/jamaoto.2021.3672
Corresponding Author: Shahaf Shilo, MD, Department of Otolaryngology–Head and Neck Surgery and Maxillofacial Surgery, Tel Aviv Sourasky Medical Center, 6 Weizmann St, Tel Aviv, 6423906, Israel (firstname.lastname@example.org).
Author Contributions: Dr Shilo had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.
Concept and design: Shilo, Ungar, Handzel, Muhanna, Oron.
Acquisition, analysis, or interpretation of data: Shilo, Abu Eta, Shapira, Muhanna, Oron.
Drafting of the manuscript: Shilo, Handzel, Muhanna, Oron.
Critical revision of the manuscript for important intellectual content: Ungar, Handzel, Abu Eta, Shapira, Muhanna, Oron.
Statistical analysis: Shilo, Ungar, Abu Eta, Muhanna, Oron.
Obtained funding: Muhanna.
Administrative, technical, or material support: Shilo, Ungar, Handzel, Shapira, Muhanna.
Supervision: Ungar, Handzel, Abu Eta, Muhanna, Oron.
Conflict of Interest Disclosures: None reported.
Additional Contributions: Esther Eshkol, the institutional medical and scientific copyeditor, is thanked for editorial assistance.
Credit Designation Statement: The American Medical Association designates this Journal-based CME activity activity for a maximum of 1.00 AMA PRA Category 1 Credit(s)™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
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