Reitzen Shari D, Babb James S, Lalwani Anil K
Department of Otolaryngology, New York University Medical Center, New York, NY, USA.
Otolaryngol Head Neck Surg. 2009 Feb;140(2):154-8. doi: 10.1016/j.otohns.2008.11.021.
To determine the reliability of the House-Brackmann facial nerve grading scale in the setting of differential function across its branches.
Prospective.
Eleven physicians with different levels of clinical experience and three upper-level medical students were provided with digital video clips of 11 patients with differential facial nerve functioning, and asked to report facial nerve function as a traditional global score and as a regional score on the basis of the House-Brackmann scale for the forehead, eye, nose, and mouth. Agreements between the traditional global score and the regional scores, as well as inter-rater agreement, were analyzed.
In patients with variable facial weakness, a single House-Brackmann score did not fully communicate facial function. The single House-Brackmann score most strongly correlated with the regional scoring of the nose/midface (59%), followed by the mouth (51%), eye (48%), and forehead (35%). Overall inter-reader reliability was relatively strong for the midface (kappa = 0.503) and global scores (kappa = 0.541), followed by the mouth (k = 0.419), the forehead (k = 0.330), and the eye (k = 0.302). There was a marked tendency for reader agreement to increase among those with more clinical experience.
Regional assessment using the House-Brackmann grading scale more fully communicates facial function and increases in reliability with experience.
确定在面神经各分支功能存在差异的情况下,House-Brackmann面神经分级量表的可靠性。
前瞻性研究。
向11名具有不同临床经验水平的医生和3名高年级医学生提供11例面神经功能存在差异的患者的数字视频片段,并要求他们根据House-Brackmann量表对前额、眼睛、鼻子和嘴巴的面神经功能报告传统的整体评分和区域评分。分析传统整体评分与区域评分之间的一致性以及评分者间的一致性。
在面部肌无力程度不同的患者中,单一的House-Brackmann评分不能完全反映面部功能。单一的House-Brackmann评分与鼻子/中面部区域评分的相关性最强(59%),其次是嘴巴(51%)、眼睛(48%)和前额(35%)。对于中面部(kappa = 0.503)和整体评分(kappa = 0.541),整体评分者间的可靠性相对较强,其次是嘴巴(k = 0.419)、前额(k = 0.330)和眼睛(k = 0.302)。临床经验越丰富的评分者之间的一致性有明显增加的趋势。
使用House-Brackmann分级量表进行区域评估能更全面地反映面部功能,且可靠性会随着经验的增加而提高。