期刊
AMERICAN JOURNAL OF OPHTHALMOLOGY
卷 256, 期 -, 页码 146-155出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.ajo.2023.08.004
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This study aims to investigate the hereditability of corneal tomographic and biomechanical parameters in keratoconus. Data from a control group and a study group were analyzed to assess the associations between KC and various factors through clinical examinations and collection of relevant indices.
center dot PURPOSE: To investigate the hereditability of corneal tomographic and biomechanical parameters in keratoconus (KC).center dot DESIGN: Prospective cohort study.center dot METHODS: This study was conducted at Qingdao Eye Hospital of Shandong First Medical University in Qingdao, China. Forty-four patients with KC and their biological parents (n = 88) were recruited as the study group. The control group consisted of 84 healthy adults with matched age and gender. Both eyes of each participant underwent clinical examinations, and 1 eye was selected for statistical analysis. Exclusion criteria were as follows: individuals with glaucoma, ocular surgery, systemic diseases known to affect the eyes, or poor cooperation during examination. Subjects were asked to discontinue soft contact lens (CL) wear for 2 weeks and rigid gas permeable CL wear for 4 weeks before ocular examination. All participants underwent a comprehensive assessment including Pentacam Scheimpflug tomography, Corvis ST, visual acuity, refraction examination, axial length, and slitlamp examination for both eyes. Individuals presenting with KC manifestations in at least 1 eye were classified as having KC. A total of 9 Pentacam indices including keratometry in the flat/steep meridian (K1/K2), maximal keratometry (Kmax), thinnest point pachymetry (TP), and maximum/average Ambrosio relational thickness (ARTmax/ARTave), anterior and posterior surfaces elevation of the cornea (Ef/Eb) and total deviation value (Final D), and 21 biomechanical indices were collected. Associations of these factors with KC were evaluated using multiple comparison and binary logistics regression analyses.
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