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Diagnostics (Basel, Switzerland) · 2025

The Effects of Age on the Human Tear Film Assessed with a Novel Imaging Device.

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Verticchio Vercellin Alice, Isserow Lauren J, Rosen Richard B, Sidoti Paul A, Siesky Brent A, Wood Keren, Schanzer Nathan, Oddone Francesco, Carnevale Carmela, Tai Tak Yee Tania, Chen Masako, Manusis Kira, Tai Katy, Brenner David J, Kleiman Norman J, Potash Samuel, Eckert George J, Antman Gal

Аннотация

Purpose: We aimed to analyze the effects of age on human tear film (TF) using a novel nanometer resolution TF imaging device (Tear Film Imager, TFI, AdOM, Israel). Methods: 44 healthy adult subjects (≥18 years of age) without ocular or systemic diseases or prior eye treatments with ages spanning seven decades were enrolled in this prospective cross-sectional study. Subjects underwent a comprehensive ophthalmic examination and completed the Ocular Surface Disease Index questionnaire (OSDI). All study participants underwent TF imaging using the TFI, including assessment of muco-aqueous layer thickness (MALT), lipid-layer thickness (LLT), inter-blink interval, and lipid map uniformity. Associations between TFI parameters and age were tested using linear regression (accounting for multiple eyes). Results: A total of 80 eyes (44 subjects) were imaged: 19 eyes from 10 subjects in the 3rd decade of life (aged 20-29); 10 eyes from 5 subjects in the 4th decade of life (aged 30-39); 5 eyes from 3 subjects in the 5th decade of life (40-49); 12 eyes from 7 subjects in the 6th decade of life (50-59), 19 eyes from 11 subjects in the 7th decade of life (60-69); 11 eyes from 6 subjects in the 8th decade of life (70-79); and 4 eyes from 2 subjects in the 9th decade of life (80-89). With increasing age, MALT significantly decreased (p = 0.024), and LLT significantly increased (p = 0.001). No statistically significant linear age effects were found for the other TFI parameters (p > 0.05) or the OSDI scores of study participants of different ages (p = 0.786). Conclusions: Quantitative TF biomarkers varied significantly with advancing age in healthy individuals, highlighting the importance of accounting for age in TF assessments.

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

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