Literature DB >> 32972914

Choroidal thickness predicts progression of myopic maculopathy in high myopes: a 2-year longitudinal study.

Zhixi Li1, Wei Wang1, Ran Liu2, Decai Wang2, Jian Zhang2, Ou Xiao2, Xinxing Guo2, Monica Jong3, Padmaja Sankaridurg4, Kyoko Ohno-Matsui5, Mingguang He6.   

Abstract

AIM: To prospectively determine the impact of choroidal thickness (CT) on the myopic maculopathy progression.
METHODS: This is a prospective, longitudinal, observational study. In total, 434 participants aged 7-70 years with bilateral high myopia (≤-6 D spherical error, range, -6 to -27.0 D) completed follow-up visits for 2 years. The baseline CT centred on the fovea was measured using a swept-source optical coherence tomography (OCT). Myopic maculopathy progression was determined by fundus photography. Logistic model was used to examine the impact of CT at baseline on the myopic maculopathy progression. Likelihood ratio test was adopted for model comparison.
RESULTS: The mean baseline age, spherical equivalence and subfoveal CT (SFCT) of the participants were 23.2±12.5 years, -10.50±3.18 D and 153.20±72.76 μm, respectively. Over 2-year's follow-up, 74 of 434 eyes (17.1%) had myopic maculopathy progression. Baseline SFCT was thinner in eyes with myopic maculopathy progression than those without (67.26±37.67 μm vs 170.95±65.45 μm; mean difference, 99.31 μm; 95% CI 83.61 to 115.01 μm; p<0.001). The same patterns of differences were observed in 7-18 years, 19-39 years and 40-70 years. In multivariate logistic regression model, SFCT was a significant risk factor (adjusted OR=0.97, p<0.005) when age, gender, axial length and baseline myopic maculopathy category were adjusted for. The addition of SFCT significantly improved the predictive discrimination of myopic maculopathy progression in comparison with that included established risk factors alone (area under the receiver operating characteristic curve, 0.899 vs 0.942, p<0.001).
CONCLUSION: CT is an independent predictor for myopic maculopathy progression. © Author(s) (or their employer(s)) 2021. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  Choroid; Epidemiology; Retina

Mesh:

Year:  2020        PMID: 32972914     DOI: 10.1136/bjophthalmol-2020-316866

Source DB:  PubMed          Journal:  Br J Ophthalmol        ISSN: 0007-1161            Impact factor:   4.638


  3 in total

1.  Intra- and interobserver concordance of a new classification system for myopic maculopathy.

Authors:  Rong-Rong Zhang; Yan Yu; Yin-Fen Hou; Chang-Fan Wu
Journal:  BMC Ophthalmol       Date:  2021-04-23       Impact factor: 2.209

Review 2.  Evaluation of Choroidal Thickness Using Optical Coherent Tomography: A Review.

Authors:  Rui Xie; Bingjie Qiu; Jay Chhablani; Xinyuan Zhang
Journal:  Front Med (Lausanne)       Date:  2021-12-03

3.  Application of Artificial Intelligence and Deep Learning for Choroid Segmentation in Myopia.

Authors:  Hung-Ju Chen; Yu-Len Huang; Siu-Lun Tse; Wei-Ping Hsia; Chung-Hao Hsiao; Yang Wang; Chia-Jen Chang
Journal:  Transl Vis Sci Technol       Date:  2022-02-01       Impact factor: 3.283

  3 in total

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