June 2024
Volume 65, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2024
Analysis of Artificial Tear Effects on Objective Noninvasive Dry Eye Parameters
Author Affiliations & Notes
  • Emily R White
    Stony Brook University Renaissance School of Medicine, Stony Brook, New York, United States
  • Nicholas Fazio
    Stony Brook University Renaissance School of Medicine, Stony Brook, New York, United States
  • Andre Galenchik-Chan
    Stony Brook University Renaissance School of Medicine, Stony Brook, New York, United States
  • Lauren Langman
    Stony Brook University Renaissance School of Medicine, Stony Brook, New York, United States
  • Ken Reed
    Platform Ophthalmic Innovations, Tennessee, United States
  • Sarah Weissbart
    Department of Ophthalmology, Stony Brook University Renaissance School of Medicine, Stony Brook, New York, United States
  • Timothy Chou
    Department of Ophthalmology, Stony Brook University Renaissance School of Medicine, Stony Brook, New York, United States
  • Konstantinos Tourmouzis
    Department of Ophthalmology, Stony Brook University Renaissance School of Medicine, Stony Brook, New York, United States
  • Eileen Chang
    Department of Ophthalmology, Stony Brook University Renaissance School of Medicine, Stony Brook, New York, United States
  • Robert A Honkanen
    Stony Brook University Renaissance School of Medicine, Stony Brook, New York, United States
  • Footnotes
    Commercial Relationships   Emily White None; Nicholas Fazio None; Andre Galenchik-Chan None; Lauren Langman None; Ken Reed None; Sarah Weissbart None; Timothy Chou None; Konstantinos Tourmouzis None; Eileen Chang None; Robert Honkanen None
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science June 2024, Vol.65, 6547. doi:
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      Emily R White, Nicholas Fazio, Andre Galenchik-Chan, Lauren Langman, Ken Reed, Sarah Weissbart, Timothy Chou, Konstantinos Tourmouzis, Eileen Chang, Robert A Honkanen; Analysis of Artificial Tear Effects on Objective Noninvasive Dry Eye Parameters. Invest. Ophthalmol. Vis. Sci. 2024;65(7):6547.

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      © ARVO (1962-2015); The Authors (2016-present)

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  • Supplements
Abstract

Purpose : Dry Eye Disease (DED) results from abnormalities of the natural tear film, a complex gel solution that coats the ocular surface. A wide variety of over-the-counter artificial tears (AT) supplements are available to treat DED although objective, evidence based comparative data regarding their performance improving measures of tear anatomy and function remain scant. We compared the ability of 13 AT preparations to improve objective measures of tear film anatomy and function. Saline drops are used as a control.

Methods : AT formulations tested included: Systane Complete PF (SCPF), Refresh Relieva (RR), GenTeal Gel (GTG), Hylo-Tear (HT), Ivizia (I), Systane Ultra (SU), Refresh Optive Mega 3 (ROM3), Similasan (SS), Soothe XP (SXP), Up&Up (UU), Visine (V), and GenTeal Tears (GTT). Saline (S) was used as a control.
Tear Meniscus Height (TMH) and Non-Invasive Keratographic Tear BreakupTime (NIKBUT) were measured using an advanced keratography unit (AKU) [Oculus Keratograph 5M]. Central Lipid Layer Thickness (LLT) was measured with an interferometer [Lipiview 2]. Measures were taken at baseline, and 5 and 15 minutes after instillation as per manufacturer instructions.
Systat was used for statistical calculations. After data normalization, ANOVA and a post hoc Tukey test was done for each drop, parameter, and timepoint. The mean (M), standard error (SE) and 95% confidence interval (CI) for each were calculated.

Results : 242 eyes (122 patients) participated in the study. Table 1 shows ANOVA results for first/avg TBUT, TMH and LLT at 5 and 15 min. All AT resulted in an improvement in some tear parameters, but no tear was superior at all time points for all measures. The best performers for (TMH), [TBUT] and {LLT} were (GTG), [SU, S, RR] and {HT, SXP} respectively (Table 2).

Conclusions : No AT performance was consistently superior at all time points for all measures. For each measure (TMH, NIKBUT, and LLT), a subset of drops performed better than others. This suggests that the composition of drops is important to their relative performance. Tailoring specific types of AT to patients with certain aspects of DED dysfunction may be beneficial. Based on these preliminary data: SU, S and RR may be more beneficial for patients with low break up times, while HT and SXP may be more beneficial for those with low LLT, and GTG may be more beneficial for those with low TMH.

This abstract was presented at the 2024 ARVO Annual Meeting, held in Seattle, WA, May 5-9, 2024.

 

 

Artificial Tears Comparison

Artificial Tears Comparison

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