4.3 Article

An Emerging Method to Assess Tear Film Spread and Dynamics as Possible Tear Film Homeostasis Markers

期刊

CURRENT EYE RESEARCH
卷 46, 期 9, 页码 1291-1298

出版社

TAYLOR & FRANCIS INC
DOI: 10.1080/02713683.2021.1887270

关键词

Dry Eye; objective medical image analysis; tear film; tear hydrodynamics; tear film homeostasis

资金

  1. University of Valencia [UV-INV-PREDOC18F2-886420, UV-INV-PREDOC16F1-385061]
  2. Ministerio de Educacion, Cultura y Deporte [FPU17/03665]

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The study demonstrates that tear film-dynamic metrics are emerging parameters for indirectly evaluating tear film quality in natural conditions with acceptable repeatability.
Purpose: 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. Materials and methods: 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 Results: 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, p = .004), it was more strongly associated in the binomial logistic regression analysis with NIKBUT and showed good repeatability (variability = 5.49%). Conclusions: Tear film-dynamic metrics are emerging homeostasis parameters for assessing indirectly the tear film quality in natural conditions with acceptable repeatability.

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