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http://dx.doi.org/10.3349/ymj.2018.59.9.1115

Biomechanical Properties of the Cornea Using a Dynamic Scheimpflug Analyzer in Healthy Eyes  

Lee, Hun (Department of Ophthalmology, International St. Mary's Hospital, Catholic Kwandong University College of Medicine)
Kang, David Sung Yong (Eyereum Eye Clinic)
Ha, Byoung Jin (Eyereum Eye Clinic)
Choi, Jin Young (Eyereum Eye Clinic)
Kim, Eung Kweon (The Institute of Vision Research, Department of Ophthalmology, Yonsei University College of Medicine)
Seo, Kyoung Yul (The Institute of Vision Research, Department of Ophthalmology, Yonsei University College of Medicine)
Kim, Tae-im (The Institute of Vision Research, Department of Ophthalmology, Yonsei University College of Medicine)
Publication Information
Yonsei Medical Journal / v.59, no.9, 2018 , pp. 1115-1122 More about this Journal
Abstract
Purpose: To investigate biomechanical properties of the cornea using a dynamic Scheimpflug analyzer according to age. Materials and Methods: In this prospective, cross-sectional, observational study, participants underwent ophthalmic investigations including corneal biomechanical properties, keratometric values, intraocular pressure (IOP), and manifest refraction spherical equivalent (MRSE). We determined the relationship of biomechanical parameters and ocular/systemic variables (participant's age, MRSE, IOP, and mean keratometric values) by piecewise regression analysis, association of biomechanical parameters with variables by Spearman's correlation and stepwise multiple regression analyses, and reference intervals (RI) by the bootstrap method. Results: This study included 217 eyes of 118 participants (20-81 years of age). Piecewise regression analysis between Corvis-central corneal thickness (CCT) and participant's age revealed that the optimal cut-off value of age was 45 years. No clear breakpoints were detected between the corneal biomechanical parameters and MRSE, IOP, and mean keratometric values. Corneal velocity, deformation amplitude, radius, maximal concave power, Corvis-CCT, and Corvis-IOP exhibited correlations with IOP, regardless of age (all ages, 20-44 years, and over 44 years). With smaller deformation amplitude and corneal velocity as well as increased CorvisIOP and Corvis-CCT, IOP became significantly increased. We provided the results of determination of confidence interval from RI data using bootstrap method in three separate age groups (all ages, 20-44 years, and over 44 years). Conclusion: We demonstrated multiple corneal biomechanical parameters according to age, and reported that the corneal biomechanical parameters are influenced by IOP.
Keywords
Corneal biomechanical property; dynamic Scheimpflug analyzer; healthy adult population; age;
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