面瘫的流行病学、泪膜和睑板腺功能障碍的比较分析。

Clinical ophthalmology (Auckland, N.Z.) Pub Date : 2025-01-08 eCollection Date: 2025-01-01 DOI:10.2147/OPTH.S481124
Caroline Guerrero-de Ferran, Daniel Bastán-Fabián, Alfredo Del Castillo-Morales, I Jocelyn Rivera-Alvarado, Jorge E Valdez García
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引用次数: 0

摘要

目的:比较面瘫与非面瘫患者的脑电图和干眼参数。患者与方法:选取20例单侧面瘫患者,采用House-Brackmann量表进行病情分级。使用Oculus 5M角膜摄影仪对干眼进行全面评估。采用Pearson相关系数测定House-Brackmann评分与睑板腺萎缩的相关强度。通过ImageJ软件对meibographs进行分析,确定受影响的区域,并与观察者手工评分进行比较。计算Cohen's Kappa系数来比较手工评分和ImageJ评分之间的一致性。结果:患侧撕裂撕裂时间明显缩短(p = 0.21),非患侧撕裂半月板高度明显增高(p = 0.02)。最后,患侧睑板腺的改变更为明显,上睑板腺的损失为29.55±13.31% (p = 0.03),下睑板腺的损失为44.44±16.9% (p =< 0.001)。House-Brackmann评分与睑板腺萎缩的Pearson相关系数为0.841 (p < 0.001 [95% CI: 0.64-0.94])。Cohen’s kappa系数为0.643 (p < 0.001)。结论:双亲侧与非双亲侧睑板腺和泪膜动力学有明显差异。House-Brackmann评分越高,睑板腺萎缩面积越大。House-Brackmann评分与睑板腺萎缩呈显著正相关。与临床分析相比,基于软件的分析也显示出更大的腺体面积损失。一致性水平为中等,因此观察到差异,特别是在交叉表中看到一致性最低的2级睑板腺脱落。这项研究进一步激励了多模式患者评估,这已经成为医疗保健领域越来越感兴趣的领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Epidemiology, Tear Film, and Meibomian Gland Dysfunction in Facial Palsy: A Comparative Analysis.

Purpose: To compare the meibographies and dry eye parameters of paretic vs non-paretic sides of patients with a facial palsy diagnosis.

Patients and methods: Twenty patients with unilateral facial palsy were recruited and the severity of the disease was staged using the House-Brackmann scale. A comprehensive dry eye evaluation was performed using the Oculus 5M Keratograph. A Pearson correlation coefficient was performed to determine correlation strength between House-Brackmann score and Meibomian gland atrophy. Meibographies were analyzed via ImageJ software to determine the affected area, and they were compared to the observer manual score. Cohen's Kappa coefficient was calculated to compare agreement between manual and ImageJ meibography scoring.

Results: Tear breakup time was reduced in the affected side (p = 0.21), tear meniscus height was much greater in the non-affected side (p = 0.02). Finally, Meibomian gland alterations were more evident in the affected side, with upper Meibomian glands having a loss of 29.55 ± 13.31% (p = 0.03) and lower glands presenting a loss of 44.44 ± 16.9% (p =< 0.001). Pearson correlation coefficient between House-Brackmann score and Meibomian gland atrophy was 0.841 (p < 0.001 [95% CI: 0.64-0.94]). Cohen's kappa coefficient was 0.643 (p < 0.001).

Conclusion: A clear difference in Meibomian gland and tear film dynamics can be observed in paretic vs non-paretic sides. A greater House-Brackmann score was correlated with a greater Meibomian gland atrophy area. A strong positive correlation is seen between the House-Brackmann score and Meibomian gland atrophy. Software-based analysis also showed a greater glandular area loss when compared to clinician's analysis. The level of agreement was moderate, so disparities are observed, especially in grade 2 Meibomian gland dropout where the least level of agreement was seen in cross tabulation. This study further incentivizes multimodal patient evaluation, which has been a growing area of interest in healthcare.

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