Objective: To assess whether postoperative speech recognition after cochlear implantation (CI) differ between age groups of 80 to 89 and 90+.
Study Design: Retrospective cohort study.
Setting: Tertiary academic referral center.
Patients: Older adult (80+ years old) bilateral sensorineural hearing loss patients undergoing CI.
Interventions: Therapeutic, CI.
Main Outcome Measures: Speech testing battery at 3, 6, and 12 months postoperatively. Self-reported balance and vertigo symptoms were also assessed.
Results: A total of 221 patients were included in this study, with 171 cases ages 80 to 89 and 50 cases ≥90 years old. A total of 60.3% had an abnormal preoperative cognitive screen based on either Montreal Cognitive Assessment or Mini Mental State Examination. No major demographic or clinical variables were noted across age groups. Mean 1 year postoperative speech scores were as follows for ages 80 to 89 versus 90+, respectively: CNC 50% (±21%) versus 47% (±18%), AzBio Quiet 54% (±26%) versus 50% (±25%), and AzBio +10SNR 28% (±21%) versus 21% (±17%). Age, abnormal cognitive screen, duration of hearing loss, and comorbidity measures such as BMI, Adult Comorbidity Evaluation-27, and American Society of Anesthesiology physical status class were not correlated with any speech measure. Overall rates of persistent self-reported balance symptoms at activation were 22.7%, decreasing to 7.5% at 1 year. Datalogging was >11 hours use on average for both age groups.
Conclusions: CI speech recognition in the 80 to 89 and 90+ age range significantly improved from preoperative scores. No major speech recognition differences were identified between age groups. Age at implantation, abnormal cognitive screening, and comorbidity status did not influence speech perception, which suggests that candidacy in older adult CI patients should not be withheld strictly due to these parameters.
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http://dx.doi.org/10.1097/MAO.0000000000004452 | DOI Listing |
Front Neurosci
February 2025
Department of Otorhinolaryngology, Head and Neck Surgery, 'Otto Körner', Rostock University Medical Center, Rostock, Germany.
Introduction: Cochlear implant (CI) success is often assessed using subjective tests like word recognition scores (WRS). However, these tests are unsuitable for children, non-native speakers, and individuals with cognitive impairments. Mismatch negativity (MMN), an objective measure of cortical auditory processing, offers a promising alternative for evaluating speech perception.
View Article and Find Full Text PDFOtol Neurotol
April 2025
Department of Otolaryngology and Communication Sciences, SUNY Upstate Medical University, Syracuse, New York.
Objective: We sought to assess whether the totality of advancements seen in cochlear implant (CI) design and implementation have translated to significant improvements in speech perception scores.
Databases Reviewed: EMBASE, PubMed/MEDLINE, and the Cochrane Central Register of Controlled Trials.
Methods: A systematic review of all English-language studies in peer-reviewed journals from 1946 to August 2022 was performed based on the Cochrane Handbook and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.
Otol Neurotol
April 2025
Department of Otolaryngology-Head & Neck Surgery, Division of Otology & Neurotology, Washington University in St. Louis, St. Louis, Missouri.
Objective: To assess whether postoperative speech recognition after cochlear implantation (CI) differ between age groups of 80 to 89 and 90+.
Study Design: Retrospective cohort study.
Setting: Tertiary academic referral center.
Otol Neurotol
April 2025
Department for Hearing, Speech and Voice Disorders, Medical University of Innsbruck, Innsbruck, Austria.
Objective: The effect of two different notch filters in sound pre-processing of active middle ear implant (AMEI) on speech perception was studied.
Method: Speech perception was tested in 20 adults with AMEI using the Oldenburg sentence test (OLSA) in quiet at a fixed presentation level of 65 dB HL. Three conditions were tested: notch filter option not active, acoustic notch filter activated at a center frequency of 4 kHz and acoustic notch filter activated at a center frequency of 6 kHz.
Healthcare (Basel)
February 2025
Department of Information Engineering, Electrical Engineering, and Applied Mathematics, University of Salerno, Via Giovanni Paolo II, 132, 84084 Fisciano, Italy.
Background: Non-communicable diseases (NCDs) represent a leading cause of global mortality, demanding innovative approaches to management. Voice assistants (VAs) have emerged as promising tools in healthcare, offering support for self-management, behavioral engagement, and patient care. This systematic review evaluates the role of VAs in NCD management, analyzing their impact on clinical and behavioral outcomes, quality of life, usability, and user experiences while identifying barriers to their adoption.
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