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Association of Cognitive Impairment Screening Scores With Improvements in Speech Recognition and Quality of Life After Cochlear Implantation

人工耳蜗植入 听力学 医学 认知 联想(心理学) 人工耳蜗植入术 语音识别 生活质量(医疗保健) 认知障碍 心理学 计算机科学 神经科学 心理治疗师
作者
Mallory Raymond,Cheng Ma,Kara C. Schvartz‐Leyzac,Elizabeth L. Camposeo,Shaun A. Nguyen,Ted A. Meyer,Theodore R. McRackan
出处
期刊:JAMA otolaryngology-- head & neck surgery [American Medical Association]
卷期号:149 (4): 344-344 被引量:10
标识
DOI:10.1001/jamaoto.2022.4825
摘要

Importance Many cochlear implant centers screen patients for cognitive impairment as part of the evaluation process, but the utility of these scores in predicting cochlear implant outcomes is unknown. Objective To determine whether there is an association between cognitive impairment screening scores and cochlear implant outcomes. Design, Setting, and Participants Retrospective case series of adult cochlear implant recipients who underwent preoperative cognitive impairment screening with the Montreal Cognitive Assessment (MoCA) from 2018 to 2020 with 1-year follow-up at a single tertiary cochlear implant center. Data analysis was performed on data from January 2018 through December 2021. Exposures Cochlear implantation. Main Outcomes and Measures Preoperative MoCA scores and mean (SD) improvement (aided preoperative to 12-month postoperative) in Consonant-Nucleus-Consonant phonemes (CNCp) and words (CNCw), AzBio sentences in quiet (AzBio Quiet), and Cochlear Implant Quality of Life-35 (CIQOL-35) Profile domain and global scores. Results A total of 52 patients were included, 27 (52%) of whom were male and 46 (88%) were White; mean (SD) age at implantation was 68.2 (13.3) years. Twenty-three (44%) had MoCA scores suggesting mild and 1 (2%) had scores suggesting moderate cognitive impairment. None had been previously diagnosed with cognitive impairment. There were small to medium effects of the association between 12-month postoperative improvement in speech recognition measures and screening positive or not for cognitive impairment (CNCw mean [SD]: 48.4 [21.9] vs 38.5 [26.6] [ d = −0.43 (95% CI, −1.02 to 0.16)]; AzBio Quiet mean [SD]: 47.5 [34.3] vs 44.7 [33.1] [ d = −0.08 (95% CI, −0.64 to 0.47)]). Similarly, small to large effects of the associations between 12-month postoperative change in CIQOL-35 scores and screening positive or not for cognitive impairment were found (global: d = 0.32 [95% CI, −0.59 to 1.23]; communication: d = 0.62 [95% CI, −0.31 to 1.54]; emotional: d = 0.26 [95% CI, −0.66 to 1.16]; entertainment: d = −0.005 [95% CI, −0.91 to 0.9]; environmental: d = −0.92 [95% CI, −1.86 to 0.46]; listening effort: d = −0.79 [95% CI, −1.65 to 0.22]; social: d = −0.51 [95% CI, −1.43 to 0.42]). Conclusions and Relevance In this case series, screening scores were not associated with the degree of improvement of speech recognition or patient-reported outcome measures after cochlear implantation. Given the prevalence of screening positive for cognitive impairment before cochlear implantation, preoperative screening can be useful for early identification of potential cognitive decline. These findings support that screening scores may have a limited role in preoperative counseling of outcomes and should not be used to limit candidacy.
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