{"title":"Mapping Voice Assessment Procedures and Results in Individuals with Sleep-Related Breathing Disorder: A Scoping Review.","authors":"Fernanda Brasileiro, Mayra Ayupe, Bruna Rainho Rocha, Vanessa Veis Ribeiro, Mara Behlau","doi":"10.1016/j.jvoice.2024.11.019","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>To map the procedures and characterize the results of multidimensional voice assessment of individuals with sleep-related breathing disorders.</p><p><strong>Method: </strong>This scoping review searched the MEDLINE, LILACS, Scopus, EMBASE, Web of Science, Cochrane Central Register of Controlled Trials, ProQuest, and MedRxiv databases, manually searched citations, grey literature, and consulted with experts. It included studies whose participants had sleep-related breathing disorders and underwent voice assessment. Two calibrated reviewers independently searched, selected, and extracted data on publication, sample, and assessment; disagreements were resolved by consensus. The data were analyzed descriptively.</p><p><strong>Results: </strong>The search found 1089 studies, of which 32 were selected. The sample comprised one study on catathrenia and 31 on obstructive sleep apnea. Acoustic analysis was the most used voice assessment procedure for sleep-related breathing disorders. The most frequent measures and instruments were jitter and fundamental frequency in acoustic analysis; maximum phonation time in aerodynamic assessment; GRBAS in auditory-perceptual judgment; Vocal Handicap Index-10 in vocal self-assessment; and videolaryngostroboscopy in laryngeal imaging. Shimmer and jitter were the measures most used to distinguish individuals with and without sleep-related breathing disorders and most verified as abnormal in individuals affected by such conditions.</p><p><strong>Conclusion: </strong>Obstructive sleep apnea is the most studied sleep-related breathing disorder in the voice clinic. Acoustic analysis was the most used method to assess sleep-related breathing disorders, with disturbance measures being the most altered, and the most used to differentiate individuals with and without sleep-related breathing disorders.</p>","PeriodicalId":49954,"journal":{"name":"Journal of Voice","volume":" ","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Voice","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.jvoice.2024.11.019","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: To map the procedures and characterize the results of multidimensional voice assessment of individuals with sleep-related breathing disorders.
Method: This scoping review searched the MEDLINE, LILACS, Scopus, EMBASE, Web of Science, Cochrane Central Register of Controlled Trials, ProQuest, and MedRxiv databases, manually searched citations, grey literature, and consulted with experts. It included studies whose participants had sleep-related breathing disorders and underwent voice assessment. Two calibrated reviewers independently searched, selected, and extracted data on publication, sample, and assessment; disagreements were resolved by consensus. The data were analyzed descriptively.
Results: The search found 1089 studies, of which 32 were selected. The sample comprised one study on catathrenia and 31 on obstructive sleep apnea. Acoustic analysis was the most used voice assessment procedure for sleep-related breathing disorders. The most frequent measures and instruments were jitter and fundamental frequency in acoustic analysis; maximum phonation time in aerodynamic assessment; GRBAS in auditory-perceptual judgment; Vocal Handicap Index-10 in vocal self-assessment; and videolaryngostroboscopy in laryngeal imaging. Shimmer and jitter were the measures most used to distinguish individuals with and without sleep-related breathing disorders and most verified as abnormal in individuals affected by such conditions.
Conclusion: Obstructive sleep apnea is the most studied sleep-related breathing disorder in the voice clinic. Acoustic analysis was the most used method to assess sleep-related breathing disorders, with disturbance measures being the most altered, and the most used to differentiate individuals with and without sleep-related breathing disorders.
目的:对睡眠相关呼吸障碍患者进行多维度语音评估,并对评估结果进行表征。方法:检索MEDLINE、LILACS、Scopus、EMBASE、Web of Science、Cochrane Central Register of Controlled Trials、ProQuest和MedRxiv数据库,人工检索引文、灰色文献,并咨询专家。它包括了一些研究,这些研究的参与者患有与睡眠有关的呼吸障碍,并接受了声音评估。两名经过校准的审稿人独立搜索、选择和提取有关出版、样本和评估的数据;分歧通过协商一致得到解决。对数据进行描述性分析。结果:检索到1089项研究,其中32项入选。样本包括一项关于呼吸障碍的研究和31项关于阻塞性睡眠呼吸暂停的研究。声学分析是睡眠相关呼吸障碍最常用的声音评估方法。在声学分析中,最常用的测量方法和仪器是抖动和基频;气动评估中的最大发声时间;听觉-知觉判断中的GRBAS;嗓音障碍指数-10在嗓音自我评价中的应用喉部成像的视频喉频闪检查。闪烁和抖动是最常用来区分有和没有睡眠相关呼吸障碍的个体的指标,也是最被证实为受这些疾病影响的个体的异常指标。结论:阻塞性睡眠呼吸暂停是临床上研究最多的睡眠相关呼吸障碍。声学分析是评估睡眠相关呼吸障碍最常用的方法,干扰测量变化最大,最常用来区分有和没有睡眠相关呼吸障碍的个体。
期刊介绍:
The Journal of Voice is widely regarded as the world''s premiere journal for voice medicine and research. This peer-reviewed publication is listed in Index Medicus and is indexed by the Institute for Scientific Information. The journal contains articles written by experts throughout the world on all topics in voice sciences, voice medicine and surgery, and speech-language pathologists'' management of voice-related problems. The journal includes clinical articles, clinical research, and laboratory research. Members of the Foundation receive the journal as a benefit of membership.