García-Marqués José Vicente, Talens-Estarelles Cristian, Martínez-Albert Noelia, García-Lázaro Santiago, Cerviño Alejandro
Department of Optics and Optometry and Vision Sciences, University of Valencia, Valencia, Spain.
Curr Eye Res. 2021 Sep;46(9):1291-1298. doi: 10.1080/02713683.2021.1887270. Epub 2021 Feb 16.
: This study aims to assess the performance of an analysis method to measure in vivo the movement speed of tear film particles post-blink as a measure of tear film spreading.: Ocular surface parameters and the recording of tear film particles' spreading post-blink were assessed in eighty-one healthy volunteers (43.7 ± 27.0 years) using Keratograph 5 M. The developed software automatically decomposed the video into frames to manually track particles' position for 1.75 seconds after a blink. The following tear film-dynamic metrics were automatically calculated: mean, median, maximum, and minimum particles' speed at different times after blinking and time for particle speed to decrease to <1.20 mm/second. Repeatability of each tear film-dynamic metric and its correlations with ocular surface signs and symptoms were analyzed. Binomial logistic regression was performed to assess the predictability of new metrics to ocular parameters.: Repeatability tended to be lower just after blinking (variability of 12.24%), whereas the metrics from 0.5 s onwards had acceptable repeatability (variability below 10%). Tear film-dynamic metrics correlated positively with Non-Invasive Break-Up Time (NIKBUT) while negatively with meibomian gland drop-out. Binomial logistic regression analysis revealed that tear film-dynamic metrics were able to predict NIKBUT. Nevertheless, no statistically significant association was found with gland drop-out. This means that higher particle speed is related to larger NIKBUT. The metric "time for particle speed to decrease to <1.20 mm/second" can be considered the best metric to assess the quality of the tear film, since it was more strongly correlated with NIKBUT (r = 0.42, = .004), it was more strongly associated in the binomial logistic regression analysis with NIKBUT and showed good repeatability (variability = 5.49%).: Tear film-dynamic metrics are emerging homeostasis parameters for assessing indirectly the tear film quality in natural conditions with acceptable repeatability.
本研究旨在评估一种分析方法的性能，该方法用于在体内测量眨眼后泪膜颗粒的移动速度，以此作为泪膜扩散的一种度量。：使用角膜地形图仪5M对81名健康志愿者（43.7±27.0岁）的眼表参数以及眨眼后泪膜颗粒扩散情况进行记录。所开发的软件自动将视频分解为帧，以便在眨眼后手动跟踪颗粒位置1.75秒。自动计算以下泪膜动力学指标：眨眼后不同时间的颗粒平均速度、中值速度、最大速度和最小速度，以及颗粒速度降至<1.20毫米/秒所需的时间。分析了每个泪膜动力学指标的可重复性及其与眼表体征和症状的相关性。进行二项式逻辑回归以评估新指标对眼部参数的预测能力。：眨眼后即刻的可重复性往往较低（变异性为12.24%），而从0.5秒起的指标具有可接受的可重复性（变异性低于10%）。泪膜动力学指标与无创泪膜破裂时间（NIKBUT）呈正相关，与睑板腺缺失呈负相关。二项式逻辑回归分析表明，泪膜动力学指标能够预测NIKBUT。然而，未发现与睑板腺缺失有统计学上的显著关联。这意味着颗粒速度越高，NIKBUT越大。“颗粒速度降至<1.20毫米/秒所需的时间”这一指标可被视为评估泪膜质量的最佳指标，因为它与NIKBUT的相关性更强（r = 0.42，P = 0.004），在二项式逻辑回归分析中与NIKBUT的关联更强，且显示出良好的可重复性（变异性 = 5.49%）。：泪膜动力学指标是新兴的内稳态参数，可在自然条件下以可接受的可重复性间接评估泪膜质量。
