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Objectives: Hearing impairment is associated with delirium among ICU patients and a lack of functional recovery among older ICU survivors. We assessed the feasibility of using otoacoustic emissions (OAEs) testing to screen for preexisting hearing loss in the ICU.
Design: Pilot study.
Setting: Medical ICU at a tertiary medical center.
Patients: All adults (age ≥ 18) and admitted to the medical ICU between November 29, 2021, and December 03, 2021, were eligible for the study.
Interventions: OAE is a noninvasive, nonparticipatory tool that is used to screen for hearing loss by detecting intracochlear motion in response to auditory stimulation. The presence or absence of OAE was tested at six frequencies (1 k, 1.5 k, 2 k, 3 k, 4 k hertz).
Measurements And Main Results: The primary outcome of feasibility was defined a priori as completion of greater than or equal to 70% of attempted tests. Average time of test completion and barriers or facilitators were also measured as outcomes. A patient passed OAE testing if at least two of six frequencies were detected in at least one ear, suggesting they did not have moderate or severe hearing impairment (that would require an amplifier). Data were also gathered on demographics, delirium, ventilation, sedation, illness severity, and ambient noise. Of 31 patients approached, 23 (74.2%) underwent testing. Eight patients (25.8%) were unable to be tested, most commonly due to elevated ambient noise. Among the 18 patients with complete data, six patients screened positive for hearing loss. The average time for OAE test completion per ear was 152.6 seconds (sd = 97.6 s).
Conclusions: OAE testing is a feasible method to screen for hearing loss in the ICU, including in nonparticipatory patients. Identification of hearing loss would facilitate improved communication through interventions such as amplifiers and accommodations. Future studies should evaluate whether identification and treatment of hearing loss in the ICU may reduce delirium and improve post-ICU recovery.
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http://dx.doi.org/10.1097/CCE.0000000000001223 | DOI Listing |
Introduction: Some medical conditions may be associated with increased risks of collision and poor performance while driving. Traffic crashes could result in fatalities and injuries. The Australian national medical guidelines do not provide specific instructions for all medical conditions.
View Article and Find Full Text PDFCereb Cortex
August 2025
Department of Psychology, University of Lübeck, Ratzeburger Allee 160, Lübeck 23562, Germany.
The human auditory system must distinguish relevant sounds from noise. Severe hearing loss can be treated with cochlear implants (CIs), but how the brain adapts to electrical hearing remains unclear. This study examined adaptation to unilateral CI use in the first and seventh months after CI activation using speech comprehension measures and electroencephalography recordings, both during passive listening and an active spatial listening task.
View Article and Find Full Text PDFMol Biol Rep
September 2025
Cytogenetics and Molecular Genetics Lab, Pathology Unit, Medical Division (BARC Hospital), Bhabha Atomic Research Centre, Anushakti Nagar, Mumbai, India.
Background: Hearing loss (HL) is one of the most common congenital anomalies and is a complex etiologically diverse condition. Molecular genetic characterization of HL remains challenging owing to the high genetic heterogeneity. This study aimed to screen for potential disease-causing genetic variations in a cohort of Indian patients with congenital bilateral severe-to-profound sensorineural HL.
View Article and Find Full Text PDFBrain Behav
September 2025
Radiology Department, Yantaishan Hospital, Yantai, Shandong, China.
Objective: To investigate the characteristics of brain structures in patients with noise-induced hearing loss (NIHL) using source-based morphometry (SBM) and to evaluate the correlation between abnormal brain regions and clinical data.
Methods: High-resolution 3D T1 structural images were acquired from 81 patients with NIHL and 74 age- and education level-matched healthy controls (HCs). The clinical data of all subjects were collected, including noise exposure time, monaural hearing threshold weighted values (MTWVs), Mini-Mental State Examination (MMSE), and Hamilton Anxiety Scale (HAMA) scores.