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鼻音严重程度指数2.0:一种客观多参数高鼻音评估方法的修订

The Nasality Severity Index 2.0: Revision of an Objective Multiparametric Approach to Hypernasality.

作者信息

Bettens Kim, Van Lierde Kristiane M, Corthals Paul, Luyten Anke, Wuyts Floris L

出版信息

Cleft Palate Craniofac J. 2016 May;53(3):e60-70. doi: 10.1597/14-247. Epub 2015 Mar 20.

DOI:10.1597/14-247
PMID:25794017
Abstract

OBJECTIVE

Due to the multidimensional nature of resonance disorders, multivariate diagnostic assessment is advisable. The nasality severity index (NSI) is based on this point of view. Because of the influence of personal and environmental variables on the current NSI, this study aims to refine this index.

DESIGN

Prospective case-control study.

SETTING

Tertiary university hospital.

PATIENTS

Forty-two patients with cleft lip and palate and 50 children without resonance disorders were tested.

INTERVENTIONS

Resonance was investigated by perceptual as well as objective measurements. A Nasometer was used to score nasalance, and spectral speech characteristics of a sustained sound /i:/ were determined, among which the voice low tone to high tone ratio (VLHR). Binary logistic regression analysis was performed to calculate the optimal index to discriminate patients from control children. Additionally, the validity of the index was determined based on data from an independent patient and control group.

RESULTS

The NSI 2.0, a weighted linear combination of three variables, can be obtained using the equation NSI 2.0 = 13.20 - (.0824 × nasalance /u:/ [%]) - (.260 × nasalance oral text [%]) - (.242 × VLHR 4.47*F0 [dB]). The NSI has a sensitivity of 92% and a specificity of 100%. Moreover, it has excellent validity (sensitivity 88%, specificity 89%).

CONCLUSIONS

The NSI 2.0 discriminates patients from control children with high sensitivity, specificity, and validity. This multiparametric method can offer a more powerful approach in the assessment and treatment planning of individuals with hypernasality.

摘要

目的

由于共鸣障碍具有多维度性质,建议进行多变量诊断评估。鼻音严重程度指数(NSI)就是基于这一观点提出的。鉴于个人和环境变量对当前NSI的影响,本研究旨在完善这一指数。

设计

前瞻性病例对照研究。

地点

三级大学医院。

患者

对42例唇腭裂患者和50名无共鸣障碍的儿童进行了测试。

干预措施

通过感知测量和客观测量对共鸣进行研究。使用鼻声计对鼻音进行评分,并确定持续音/i:/的频谱语音特征,其中包括语音低音调与高音调之比(VLHR)。进行二元逻辑回归分析以计算区分患者与对照儿童的最佳指数。此外,基于来自独立患者和对照组的数据确定该指数的有效性。

结果

NSI 2.0是三个变量的加权线性组合,可使用公式NSI 2.0 = 13.20 -(0.0824×鼻音/u:/ [%])-(0.260×鼻音口语 [%])-(0.242×VLHR 4.47*F0 [dB])获得。NSI的灵敏度为92%,特异度为100%。此外,它具有出色的有效性(灵敏度88%,特异度89%)。

结论

NSI 2.0在区分患者与对照儿童方面具有高灵敏度、特异度和有效性。这种多参数方法可为高鼻音个体的评估和治疗计划提供更有效的途径。

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