语音障碍指数:检查欧洲葡萄牙语语音障碍的截止点
Isabel Guimarães1, Gabriela Torrejano2, Raquel Aires2
1Clinical and Therapeutics Pharmacological Unit, Faculty of Medicine, Instituto de Medicina Molecular, University of Lisbon, Lisbon, Portugal; Speech Therapy Department, Alcoitão Health School of Sciences, Faculty of Medicine, Instituto de Medicina Molecular, University of Lisbon, Lisbon, Portugal.
Journal of voice : official journal of the Voice Foundation
|October 7, 2023
概括
语音障碍指数 (VHI) 和VHI-10有效地识别了欧洲葡萄牙语说者有语音障碍. 新的切线值和项目分析证实了它们对各种疾病的诊断准确性.
科学领域:
- 语音和听力科学 语言和听力科学
- 耳鼻喉科 耳鼻喉科 耳鼻喉科
- 临床语言学 临床语言学
背景情况:
- 语音障碍显著影响生活质量.
- 有效的评估工具对于准确的诊断和管理至关重要.
- 语音障碍指数 (VHI) 和其缩短版本 (VHI-10) 广泛使用,但需要文化特定的验证.
研究的目的:
- 为欧洲葡萄牙语版本的VHI和VHI-10建立最佳切断值.
- 评估个别VHI-10项目的歧视力.
- 评估VHI-10在声音障碍患者中区分各种耳鼻喉 (ENT) 诊断的能力.
主要方法:
- 一项涉及350名成年参与者的横截面队列研究 (171例语音障碍病例,179例对照).
- 参与者完成了欧洲葡萄牙语VHI和语音障碍严重程度自我评估.
- 使用接收器操作特征 (ROC) 曲线分析分析数据以确定准确度和截止值.
主要成果:
- 确定了最佳的切断值:VHI 13.5 (灵敏度0.994,特异性0.989) 和VHI-10 5.5 (灵敏度0.977,特异性0.955).
- 无论是VHI还是VHI-10,都显示出高精度 (AUC> 0.997).
- 个别的VHI-10项目显示出不同的歧视力,并且在特定的ENT诊断之间发现了显著的差异.
结论:
- 欧洲葡萄牙语VHI和VHI-10是声音障碍的高度准确的查工具.
- 确定的切线值为临床使用提供了可靠的基准.
- VHI-10的各个项目对评估语音障碍作出了有意义的贡献.
相关概念视频
Pulmonary Function Tests
350
Pulmonary Function Tests (PFTs)
Pulmonary Function Tests are crucial diagnostic tools for assessing respiratory function, particularly in patients with chronic respiratory disorders. They comprehensively evaluate lung volumes, ventilatory function, breathing mechanics, diffusion, and gas exchange. These tests help diagnose pulmonary diseases and play a significant role in monitoring disease progression, evaluating disability, and assessing response to therapy.
PFTs involve using a spirometer, a...
Pulmonary Function Tests are crucial diagnostic tools for assessing respiratory function, particularly in patients with chronic respiratory disorders. They comprehensively evaluate lung volumes, ventilatory function, breathing mechanics, diffusion, and gas exchange. These tests help diagnose pulmonary diseases and play a significant role in monitoring disease progression, evaluating disability, and assessing response to therapy.
PFTs involve using a spirometer, a...
350
Expected Frequencies in Goodness-of-Fit Tests
2.5K
A goodness-of-fit test is conducted to determine whether the observed frequency values are statistically similar to the frequencies expected for the dataset. Suppose the expected frequencies for a dataset are equal such as when predicting the frequency of any number appearing when casting a die. In that case, the expected frequency is the ratio of the total number of observations (n) to the number of categories (k).
2.5K


