Objectives: To estimate the prevalence, ethnic differences and associated risk factors of myopic maculopathy in Han and Uygur adults in Xinjiang, China.
Design And Setting: A cross-sectional study with multistage, stratified cluster sampling method was conducted in Xinjiang, China.
Participants: A total of 4023 Han and Uygur participants aged 40 years and older were eligible for the study.
Outcome Measures: The association between myopic maculopathy and its risk factors was screened using the generalised estimating equation (GEE) model. We also investigated whether ethnic differences exist between Han and Uygur populations affected by myopic maculopathy. Myopic maculopathy was defined in accordance with International Photographic Classification and Grading System for Myopic Maculopathy.
Results: A total of 3044 subjects (5946 eyes) were included in our study (1736 Han and 1308 Uygur individuals). The participants consisted of 1256 (41.3%) men and 1788 (58.7%) women. The average age was 52.2±9.4 years, and the mean spherical equivalent (SE) was -0.18±2.31 dioptre (D). Myopic maculopathy was detected in 198 eyes of 138 participants. The age-adjusted prevalence of myopic maculopathy reached 5.8% (95% CI 4.8 to 6.8). In the GEE model, myopic maculopathy was significantly associated with old age (per year; OR: 1.16; 95% CI 1.13 to 1.19; p<0.001) and myopic SE (per -1 D; OR: 1.48; 95% CI 1.40 to 1.56; p<0.001). No ethnic differences were detected between Han (98, 5.7%) and Uygur population (40, 3.1%) in terms of the prevalence of myopic maculopathy (OR=0.89; 95% CI 0.53 to 1.48; p=0.64). Neither urbanisation (p=0.38) nor the level of education (p=0.92) was associated with myopic maculopathy.
Conclusions: A high age-adjusted prevalence of myopic maculopathy was observed in Han and Uygur populations in Xinjiang, China. Old age and high degree of myopic refraction were independent risk factors for myopic maculopathy. No ethnic differences were detected in Han and Uygur populations affected by myopic maculopathy.
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http://dx.doi.org/10.1136/bmjopen-2019-034775 | DOI Listing |
Exp Eye Res
December 2024
Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, 83 Fenyang Road, Shanghai, 200031, China; Key laboratory of Myopia and Related Eye Diseases, NHC, Chinese Academy of Medical Sciences, 83 Fenyang Road, Shanghai, 200031, China; Shanghai Key Laboratory of Visual Impairment and Restoration, 83 Fenyang Road, Shanghai, 200031, China. Electronic address:
Choroid neovascularization (CNV) is a distinct type of age-related macular degeneration (AMD) with a poor prognosis and responsible for the majority of vision loss in the elderly population. The laser-induced CNV model is a well-established animal model frequently used to study CNV. In this study, we performed an integrated analysis of metabolomic and transcriptomic data from CNV samples, utilizing multiple approaches including single-sample gene set enrichment analysis (ssGSEA), correlation analysis, and weighted gene co-expression network analysis (WGCNA), alongside various bioinformatics platforms, to identify key metabolic and immune signatures and to investigate their interplay during angiogenesis.
View Article and Find Full Text PDFExp Eye Res
December 2024
Centre for Eye and Vision Research (CEVR), 17W Hong Kong Science Park, Hong Kong; Research Centre for Chinese Medicine Innovation, The Hong Kong Polytechnic University, Kowloon, Hong Kong; Department of Food Science and Nutrition, The Hong Kong Polytechnic University, Kowloon, Hong Kong. Electronic address:
Ophthalmic Physiol Opt
December 2024
School of Optometry, Indiana University, Bloomington, Indiana, USA.
Purpose: Visual acuity (VA) is a primary outcome measure that defines the success of clinical interventions for retinal diseases such as age-related macular degeneration (AMD) or diabetic macular oedema (DME). These conditions can lead to the presence of subretinal fluid, causing substantial photoreceptor layer elevation. Hyperopic defocus then occurs, affecting the VA measurements.
View Article and Find Full Text PDFRetina
January 2025
State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China.
Purpose: To determine the impact of eye shape using three-dimensional magnetic resonance imaging on myopic maculopathy (MM) progression.
Methods: At baseline, 67 participants with high myopia were selected. Eye shape was classified into spheroidal, ellipsoidal, temporally distorted, nasally distorted, conical, and barrel-shape identified from three-dimensional magnetic resonance imaging.
Clin Ophthalmol
December 2024
Roche Oy, Espoo, Finland.
Background: The prevalence of vision-threatening diseases, such as age-related macular degeneration (AMD) and diabetic macular edema (DME), is likely to increase in developed countries owing to an aging population, rising life expectancy, and unfavorable lifestyle changes. Increases in the burden of vision-threatening diseases pose a challenge to the healthcare system. After the emergence of intravitreal anti-VEGF inhibitors, treatment options for neovascular AMD (nAMD), DME, retinal vein occlusion (RVO) and myopic choroidal neovascularization (myopic CNV) have increased.
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