Suppr超能文献

一种敏感的临床面部分级系统的开发。

Development of a sensitive clinical facial grading system.

作者信息

Ross B G, Fradet G, Nedzelski J M

机构信息

Sunnybrook Health Science Centre Toronto, Ontario, Canada.

出版信息

Otolaryngol Head Neck Surg. 1996 Mar;114(3):380-6. doi: 10.1016/S0194-59989670206-1.

Abstract

Clinicians require a reliable and valid method of evaluating facial function after facial nerve injury. This tool should be clinically relevant and easy to administer, provide a quantitative score for reporting purposes, and be sensitive enough to detect clinically important change over time or with treatment. The proposed facial grading system has all essential information, including precise definitions for each item, presented on one page. The facial grading system is based on the evaluation of resting symmetry, degree of voluntary excursion of facial muscles, and degree of synkinesis associated with specified voluntary movement. Different regions of the face are examined separately with the use of five standard expressions. All items are evaluated on point scales, and a cumulative composite score is tabulated. Construct validity was addressed by comparing the proposed facial grading system to prerehabilitation and postrehabilitation treatment scores of 19 patients with varying degrees of facial nerve injury. All patients had documented change in a controlled study of feedback training. The proposed system reports results in a more continuous manner with a wider response range than the House-Brackmann grades. Each component of the grading system is sensitive to change and individually contributes to a change in the composite score. Tests of interrater reliability are currently near completion.

摘要

临床医生需要一种可靠且有效的方法来评估面神经损伤后的面部功能。这种工具应具有临床相关性且易于实施,能提供用于报告目的的定量评分,并且足够敏感以检测随着时间推移或治疗而出现的具有临床重要意义的变化。所提出的面部分级系统包含了所有基本信息,包括每个项目的精确定义,都呈现在一页纸上。该面部分级系统基于对面部静止对称性、面部肌肉自主运动程度以及与特定自主运动相关的联带运动程度的评估。使用五种标准表情分别对面部的不同区域进行检查。所有项目均采用评分量表进行评估,并列出累积综合得分。通过将所提出的面部分级系统与19例不同程度面神经损伤患者康复前和康复后的治疗评分进行比较,探讨了结构效度。在一项反馈训练对照研究中,所有患者均有记录在案的变化。与House - Brackmann分级相比,所提出的系统能以更连续的方式报告结果,且反应范围更广。分级系统的每个组成部分对变化都很敏感,并且各自对综合得分的变化都有贡献。目前,评估评分者间信度的测试已接近完成。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验