Department of Surgery, Temple University Hospital, Philadelphia, Pennsylvania.
Drexel University College of Medicine, Philadelphia, Pennsylvania.
J Voice. 2021 May;35(3):497.e1-497.e4. doi: 10.1016/j.jvoice.2019.10.008. Epub 2019 Nov 19.
Investigate the relationships between the Voice Handicap Index, laryngeal electromyography, and objective acoustic voice testing in order to determine the utility of these measures in the management of vocal fold movement disorders.
A retrospective review of patients who had completed a Voice Handicap Index-10 (VHI-10) questionnaire, laryngeal electromyography (LEMG), and objective acoustic measurements (including jitter, relative average perturbation, shimmer, noise-to-harmonic ratio, and standard deviation of fundamental frequency). All three tests had been completed within 30 days of the initial evaluation. All patients' results for acoustic measures were recorded as standard deviations from the norm. LEMG results were converted to grade of paresis (mild, moderate, severe) based on the muscle with the lowest recruitment. Spearman correlation coefficients were calculated to determine the relationship between these three parameters.
A total of 313 subjects were included in the analysis. VHI-10, LEMG (grade of paresis), and objective acoustic measures were, at best, weakly correlated. VHI-10 was better correlated than LEMG to each acoustic parameter including the average acoustic scores; however, the highest correlation observed only reached ρ = 0.349 (P < 0.001). The acoustic variables that correlated best with VHI-10 and LEMG were the standard deviation of the fundamental frequency (ρ = 0.349, P < 0.001) and shimmer (ρ = 0.207, P < 0.001), respectively.
This study demonstrates that these measures are, at best, weakly associated. VHI-10 correlated better than LEMG (grade of paresis) to each acoustic voice analysis parameter. However, the maximum correlation coefficient observed was 0.349. Therefore, VHI-10 scores and objective voice acoustic measurements are not useful for predicting the severity of vocal fold movement disorders. Moreover, a given severity of paresis can have different effects on voice handicap and acoustic output in different individuals.
研究嗓音障碍指数、喉肌电图和客观声学测试之间的关系，以确定这些方法在声带运动障碍管理中的应用价值。
回顾性分析了完成嗓音障碍指数-10（VHI-10）问卷、喉肌电图（LEMG）和客观声学测量（包括微扰、相对平均微扰、声颤、噪声与谐噪比和基频标准差）的患者。所有三项检查均在初始评估后 30 天内完成。所有患者的声学测量结果均以与正常值的标准差记录。根据募集最低的肌肉，将 LEMG 结果转换为弛缓程度（轻度、中度、重度）。计算 Spearman 相关系数以确定这三个参数之间的关系。
共纳入 313 例患者进行分析。VHI-10、LEMG（弛缓程度）和客观声学测量之间的相关性最差。VHI-10 与各声学参数的相关性优于 LEMG，包括平均声学评分；然而，观察到的最高相关性仅达到 ρ=0.349（P<0.001）。与 VHI-10 和 LEMG 相关性最好的声学变量分别是基频标准差（ρ=0.349，P<0.001）和声颤（ρ=0.207，P<0.001）。
本研究表明这些方法相关性最差。VHI-10 与各声学语音分析参数的相关性优于 LEMG（弛缓程度）。然而，观察到的最大相关系数为 0.349。因此，VHI-10 评分和客观嗓音声学测量不能用于预测声带运动障碍的严重程度。此外，在不同个体中，相同的弛缓程度可能对嗓音障碍和声学输出产生不同的影响。
