Grading facial nerve function: House-Brackmann versus Burres-Fisch methods.
Grading facial nerve function: House-Brackmann versus Burres-Fisch methods.
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面部神经功能分级：House-Brackmann 与 Burres-Fisch 方法。
DOI：
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发表时间：
1990
期刊：
影响因子：
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通讯作者：
Mester Sj
中科院分区：
文献类型：
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作者：
G. Croxson;M. May;Mester Sj
人们已经提出了许多面部功能测试结果报告系统，但经过五届国际面神经研讨会，尚未开发出完善的报告系统。 1985年，美国耳鼻喉头颈外科学会采用House-Brackmann（H-B）六点主观分级量表作为通用标准。该决定是基于面神经疾病委员会的建议。第二年，即 1986 年，Burres 和 Fisch 提出了线性测量指数 (B-F LMI) 作为替代的客观评分系统。为了确定每个系统对面瘫患者面部功能进行分级的能力以及每个系统的相对优点，对 41 名面部无力患者和 1 名正常患者进行了研究。 H-B 分级系统易于使用，并为每个单独的面部功能等级提供简单、简洁的标准。 B-F LMI分级系统耗时耗力，需要复杂的计算才能得出代表面部功能的百分比值。本研究最重要的发现是两个系统之间的高度相关性，尽管 H-B 系统是主观和定性的，而 B-F LMI 系统是客观和定量的。在开发出完美的分级系统之前，作者倾向于将 H-B 和 B-F LMI 系统结合起来，作为目前评估面部功能的最佳方法。
Many systems for reporting results of facial function tests have been proposed, but after five International Facial Nerve Symposia, a perfect system for reporting has yet to be developed. In 1985 the American Academy of Otolaryngology-Head and Neck Surgery adopted the House-Brackmann (H-B) six-point subjective grading scale as a universal standard. This decision was based on the recommendation of the Facial Nerve Disorders Committee. The next year, 1986, Burres and Fisch proposed the Linear Measurement Index (B-F LMI) as an alternative, objective grading system. To determine the ability of each system to grade the facial function of patients with facial palsy, and the relative merits of each system, 41 patients with facial weakness and one normal patient were studied. The H-B grading system is easy to use and provides simple, concise criteria for each separate grade of facial function. The B-F LMI grading system is time-consuming and labor-intensive, and requires a complex calculation to derive a percentage value that represents facial function. The most important finding of this study was the high degree of correlation between the two systems, in spite of the fact that the H-B system is subjective and qualitative while the B-F LMI system is objective and quantitative. Until the perfect grading system is developed, the authors favor combining the H-B and B-F LMI systems as the best method available at the moment to evaluate facial function.