Tear Film Surface Quality in Modern Daily Disposable Contact Lens Wear.

Eye Contact Lens

Department of Biomedical Engineering (M.M., D.R.I.), Wroclaw University of Science and Technology, Poland ; School of Optometry (M.M., K.K.N.), University of Alabama at Birmingham, Birmingham, AL; Department of Optics and Optometry and Vision Sciences (I.K.G., D.H.S.-I.), University of Valencia, Valencia, Spain ; Department of Optics and Photonics (I.K.G.), Wroclaw University of Science and Technology, Wrocław, Poland; Biomedical Imaging Group Rotterdam (D.A.D.J.), Department of Radiology and Nuclear Medicine, The Netherlands; and Aston University School of Life and Health Sciences (R.A.A.), Birmingham, United Kingdom.

Published: December 2021

Objectives: As reported previously, tear film surface quality (TFSQ) should be considered in contact lens (CL) fitting. This study followed noninvasive keratograph tear film break-up time (NIKBUT) in CL wearers for 12 months to validate its clinical utility in predicting CL performance.

Methods: Fifty-five subjects (M/F=17/38) aged 26±4 years were prescribed silicone hydrogel or hydrogel CLs. The study included baseline measurements without CLs; 2 visits for CL fitting and control; follow-up after 3, 6, and 12 months of CL wear; and postwear visit without CLs. Ocular Surface Disease Index (OSDI), 8-Item Contact Lens Dry Eye Questionnaire (CLDEQ-8), first and mean NIKBUT (F/M-NIKBUT), fluorescein tear film break-up time (FBUT), and ocular surface staining were evaluated.

Results: Post hoc analysis of each pair of visits showed differences between baseline and all CL visits for F-NIKBUT, M-NIKBUT, FBUT, and corneal staining. No difference was reported in symptoms. In addition, differences between baseline and postwear visits were noted in OSDI, M-NIKBUT, FBUT, and corneal staining, with three of the latter parameters showing a downward trend.

Conclusions: No changes in TFSQ and symptoms were reported over 12 months. Introducing NIKBUT as part of routine CL fitting is advised to improve CL fit and predict success.

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http://dx.doi.org/10.1097/ICL.0000000000000811DOI Listing

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