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Dow E, Kearney S, Day M. Absolute Risks and Decision Tools for Communicating the Risks of Visual Impairment From Myopia-Related Diseases. Invest Ophthalmol Vis Sci 2025; 66:82. [PMID: 40305470 PMCID: PMC12045115 DOI: 10.1167/iovs.66.4.82] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2024] [Accepted: 03/31/2025] [Indexed: 05/02/2025] Open
Abstract
Purpose The risks of developing myopia complications are frequently reported in relative terms, which can be misleading. This study provides absolute risk estimates of visual impairment (VI) from myopia-related diseases. Methods A critical integrative review provided data on frequency of myopic macular degeneration (MMD), primary open-angle glaucoma (POAG), rhegmatogenous retinal detachment (RRD), and associated VI in predominantly White and East Asian populations. The absolute risks of persons over 40 years of age with no myopia, low myopia (-2.00 D), or high myopia (-6.00 D) developing VI from each myopia-related disease were calculated by multiplying the proportion of each refractive group with the disease by the rate of VI. The sum of the risks of VI from MMD, POAG, and RRD provided an estimate of VI risk from any of these three myopia-related diseases in adults over 40 years old. Results VI from MMD, POAG, or RRD combined is expected in 0.4 in 100, 1.4 in 100, and 6.8 in 100 of White persons with no myopia, low myopia, or high myopia, respectively. The same risks in an East Asian population are 0.5 in 100, 2.4 in 100 and 10.3 in 100 in persons with no myopia, low myopia, or high myopia, respectively. Conclusions Absolute risks are provided to enable balanced discussions of the future risk that a child may have in developing VI from myopia-related diseases when considering myopia management. These estimates should be put into context using decision tools and balanced statements providing information on the likelihood of both developing VI and not developing VI.
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Affiliation(s)
- Emma Dow
- Department of Vision Sciences, School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, Scotland, United Kingdom
| | - Stephanie Kearney
- Department of Vision Sciences, School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, Scotland, United Kingdom
| | - Mhairi Day
- Department of Vision Sciences, School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, Scotland, United Kingdom
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Zhou WD, Dong L, Shi HX, Zhang RH, Yang YH, Zhao HQ, Li YT, Yu CY, Li HY, Wu HT, Shao L, Wei WB. Cone mosaic in eyes with varied axial length using adaptive optics scanning laser ophthalmoscopy. Photodiagnosis Photodyn Ther 2025; 52:104517. [PMID: 39929357 DOI: 10.1016/j.pdpdt.2025.104517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2025] [Revised: 01/25/2025] [Accepted: 02/07/2025] [Indexed: 02/20/2025]
Abstract
BACKGROUND Abnormalities in cone photoreceptor topography are closely associated with the development of various ocular diseases, including axial myopia. Adaptive Optics Scanning Laser Ophthalmoscopy (AOSLO) enables high-resolution, single-cell imaging of the living human retina. METHODS This study aimed to investigate the potential relationship between cone topography and axial myopia using a commercial AOSLO system. A total of 74 participants (148 eyes; 30 men, 40.5 %) with a mean age of 31.8 ± 10.4 years were included. Cone mosaics were imaged at 3° and 5° eccentricities of the fovea centralis. The relationships between cone parameters (linear cone density, cone spacing, cone dispersion, and cone regularity) and axial length were analyzed. RESULTS Linear cone density significantly decreased with increasing axial length at both 3° and 5° eccentricities (all P < 0.001). Cone spacing significantly increased with greater axial length and reduced cone density. After adjusting for axial length, cone spacing was significantly associated only with linear cone density at both 3° and 5° eccentricities (all P < 0.001). Cone dispersion significantly increased with longer axial length and lower cone density. After adjusting for axial length, cone dispersion remained significantly associated with linear cone density only at the inferior 3° (β = -0.43, P = 0.014) and inferior 5° eccentricities (β=-0.4, P = 0.003). Cone regularity significantly increased with higher linear cone density at certain 3° eccentricities (nasal: β=0.34, P < 0.001; temporal: β=0.25, P = 0.006; inferior: β = 0.2, P = 0.04) and significantly decreased with longer axial length at temporal 5° eccentricity (β = -0.57, P < 0.001). CONCLUSIONS Linear cone density was significantly reduced in axial myopia. The uniformity of cone distribution was disrupted as a result of the reduction in cone density. Additionally, cone regularity was significantly diminished in axial myopia, potentially due to the direct effects of axial elongation at 5° eccentricity or reductions in cone density at 3° eccentricity.
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Affiliation(s)
- Wen-Da Zhou
- Beijing Tongren Eye Centre, Beijing Key Laboratory of Intraocular Tumour Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, PR China
| | - Li Dong
- Beijing Tongren Eye Centre, Beijing Key Laboratory of Intraocular Tumour Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, PR China
| | - Han-Xu Shi
- Beijing Tongren Eye Centre, Beijing Key Laboratory of Intraocular Tumour Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, PR China
| | - Rui-Heng Zhang
- Beijing Tongren Eye Centre, Beijing Key Laboratory of Intraocular Tumour Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, PR China
| | - Yu-Hang Yang
- Beijing Tongren Eye Centre, Beijing Key Laboratory of Intraocular Tumour Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, PR China
| | - Han-Qing Zhao
- Beijing Tongren Eye Centre, Beijing Key Laboratory of Intraocular Tumour Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, PR China
| | - Yi-Tong Li
- Beijing Tongren Eye Centre, Beijing Key Laboratory of Intraocular Tumour Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, PR China
| | - Chu-Yao Yu
- Beijing Tongren Eye Centre, Beijing Key Laboratory of Intraocular Tumour Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, PR China
| | - He-Yan Li
- Beijing Tongren Eye Centre, Beijing Key Laboratory of Intraocular Tumour Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, PR China
| | - Hao-Tian Wu
- Beijing Tongren Eye Centre, Beijing Key Laboratory of Intraocular Tumour Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, PR China
| | - Lei Shao
- Beijing Tongren Eye Centre, Beijing Key Laboratory of Intraocular Tumour Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, PR China.
| | - Wen-Bin Wei
- Beijing Tongren Eye Centre, Beijing Key Laboratory of Intraocular Tumour Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, PR China.
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He J, Ye L, Xu H, Yang H, Shen J, Li M, Weng S, Jiao D, Chu C, Liao Q, Zou H, Zhu J, Wang C, Xu X. Multi-omics analysis reveals a novel NFE2L3 variant impairing choroidal vasculature development in high myopia and myopic maculopathy. Natl Sci Rev 2025; 12:nwae291. [PMID: 40040800 PMCID: PMC11879437 DOI: 10.1093/nsr/nwae291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2024] [Revised: 08/11/2024] [Accepted: 08/19/2024] [Indexed: 03/06/2025] Open
Affiliation(s)
- Jiangnan He
- Department of Preventative Ophthalmology, Shanghai Eye Diseases Prevention &Treatment Center/Shanghai Eye Hospital, School of Medicine, Tongji University, National Clinical Research Center for Eye Diseases, Shanghai Engineering Research Center of Precise Diagnosis and Treatment of Eye Diseases, China
| | - Luyao Ye
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Clinical Research Center for Eye Diseases, Shanghai Key Clinical Specialty, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, China
| | - Hannan Xu
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Clinical Research Center for Eye Diseases, Shanghai Key Clinical Specialty, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, China
| | - Huanjie Yang
- BGI Research, China
- College of Life Sciences, University of Chinese Academy of Sciences, China
| | - Juan Shen
- BGI Research, China
- Institute of Metagenomics, Qingdao-Europe Advanced Institute for Life Sciences, BGI Research, China
| | - Menghan Li
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Clinical Research Center for Eye Diseases, Shanghai Key Clinical Specialty, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, China
| | - Shijun Weng
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, China
| | - Dongyue Jiao
- State Key Laboratory of Genetic Engineering, MOE Engineering Research Center of Gene Technology, Shanghai Engineering Research Center of Industrial Microorganisms, School of Life Sciences, Fudan University, China
| | - Chen Chu
- Department of Preventative Ophthalmology, Shanghai Eye Diseases Prevention &Treatment Center/Shanghai Eye Hospital, School of Medicine, Tongji University, National Clinical Research Center for Eye Diseases, Shanghai Engineering Research Center of Precise Diagnosis and Treatment of Eye Diseases, China
| | | | - Haidong Zou
- Department of Preventative Ophthalmology, Shanghai Eye Diseases Prevention &Treatment Center/Shanghai Eye Hospital, School of Medicine, Tongji University, National Clinical Research Center for Eye Diseases, Shanghai Engineering Research Center of Precise Diagnosis and Treatment of Eye Diseases, China
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Clinical Research Center for Eye Diseases, Shanghai Key Clinical Specialty, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, China
| | - Jianfeng Zhu
- Department of Preventative Ophthalmology, Shanghai Eye Diseases Prevention &Treatment Center/Shanghai Eye Hospital, School of Medicine, Tongji University, National Clinical Research Center for Eye Diseases, Shanghai Engineering Research Center of Precise Diagnosis and Treatment of Eye Diseases, China
| | - Chenji Wang
- State Key Laboratory of Genetic Engineering, MOE Engineering Research Center of Gene Technology, Shanghai Engineering Research Center of Industrial Microorganisms, School of Life Sciences, Fudan University, China
| | - Xun Xu
- Department of Preventative Ophthalmology, Shanghai Eye Diseases Prevention &Treatment Center/Shanghai Eye Hospital, School of Medicine, Tongji University, National Clinical Research Center for Eye Diseases, Shanghai Engineering Research Center of Precise Diagnosis and Treatment of Eye Diseases, China
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Clinical Research Center for Eye Diseases, Shanghai Key Clinical Specialty, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, China
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Jiang F, Xiao O, Guo X, Yin Q, Luo L, He M, Li Z. Characteristics of myopic maculopathy in Chinese children and adolescents with high myopia. Br J Ophthalmol 2025; 109:257-263. [PMID: 39060091 DOI: 10.1136/bjo-2023-324430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 07/13/2024] [Indexed: 07/28/2024]
Abstract
AIMS To investigate the characteristics of myopic maculopathy among highly myopic Chinese children and adolescents and explore its associated risk factors. METHODS Children and adolescents aged 7-17 years with spherical equivalent (SE) ≤ -6.00 dioptres (D) were recruited. Myopic maculopathy was categorised based on the International Meta-Analysis of Pathological Myopia Classification. The extent of diffuse choroidal atrophy (DCA) was classified using Early Treatment Diabetic Retinopathy Study grid (ETDRS). The area of DCA was categorised into three classes relative to optic disk area (DA): A1 (≤1 DA), A2 (1 to ≤5 DA) and A3 (5 to ≤10 DA). Logistic regression was used to identify risk factors associated with myopic maculopathy. RESULTS Of the 425 participants aged 13.66±2.67 years, the proportions of tessellated fundus and DCA were 11.76% and 12.24%, and no more severe fundus lesions or 'plus' lesions. The proportion of DCA was 27.03% in children under 11, significantly higher than the 9.12% observed in those aged 11 and older (p<0.001). The percentages of DCA involving the outer, middle and central circles of the ETDRS grid were 42.31%, 55.77% and 1.92%. Myopic maculopathy was significantly associated with younger age (p<0.001), longer axial length (AL; p<0.001) and larger β-zone peripapillary atrophy (β-PPA; p=0.012). CONCLUSION In highly myopic children and adolescents, myopic maculopathy predominantly manifested as DCA (12.24%), with no cases of worse myopic maculopathy or 'plus' lesions. Younger age, longer AL and larger β-PPA were risk factors for myopic maculopathy.
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Affiliation(s)
- Feng Jiang
- 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, Guangdong, China
| | - Ou Xiao
- 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, Guangdong, China
| | - Xinxing Guo
- Wilmer Eye Institute, Johns Hopkins University, Maryland, Baltimore, USA
| | - Qiuxia Yin
- 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, Guangdong, China
| | - Lixia Luo
- 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, Guangdong, China
| | - Mingguang He
- School of Optometry, The Hong Kong Polytechnic University, Kowloon, Hong Kong, People's Republic of China
- Research Centre for SHARP Vision (RCSV), The Hong Kong Polytechnic University, Kowloon, Hong Kong, People's Republic of China
- Centre for Eye and Vision Research (CEVR), 17W Hong Kong Science Park, Hong Kong, People's Republic of China
| | - Zhixi Li
- 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, Guangdong, China
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5
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Kong K, Jiang J, Wang P, Song Y, Lin F, Li F, Gao X, Liu X, Jin L, Wang Z, Liu Y, Chen M, Ohno-Matsui K, Jonas JB, Chen S, Zhang X. Progression Patterns and Risk Factors of Axial Elongation in Young Adults With Nonpathologic High Myopia: Three-Year Large Longitudinal Cohort Follow-Up. Am J Ophthalmol 2024; 267:293-303. [PMID: 39128551 DOI: 10.1016/j.ajo.2024.08.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2024] [Revised: 07/29/2024] [Accepted: 08/05/2024] [Indexed: 08/13/2024]
Abstract
PURPOSE To investigate the progression patterns and risk factors of axial elongation in young adults with nonpathologic high myopia. DESIGN Prospective, clinical observational cohort study with 2- to 4-year follow-up. METHODS A total of 1043 eyes of 563 participants (3515 medical records) aged 18 to 50 years with nonpathologic high myopia (axial length [AL] ≥ 26 mm; myopic maculopathy < diffuse chorioretinal atrophy; without posterior staphyloma) were included from 1546 participants (6318 medical records). Annual axial elongation was calculated via linear mixed-effect models. The associated risk factors of axial elongation were determined by ordinal logistic regression analysis, with generalized estimate equations for eliminating an interocular correlation bias. RESULTS Based on 5359 times of AL measurements, the annual axial elongation of participants (mean [SD] age 31.39 [9.22] years) was 0.03 mm/year (95% confidence interval [CI], 0.03-0.04; P < .001) during a 30.23 (6.06) months' follow-up. Severe (>0.1 mm/year), moderate (0.05-0.09 mm/year), mild (0-0.049 mm/year), and nil (≤0 mm/year) elongation was observed in 122 (11.7%), 211 (20.2%), 417 (40.0%), and 293 (28.1%) eyes. The following risk factors were significantly associated with axial elongation: baseline AL ≥ 28 mm (odds ratio [OR], 4.23; 95% CI, 2.95-6.06; P < .001); age < 40 years (OR, 1.64; 95% CI, 1.18-2.28; P = .003); axial asymmetry (OR, 2.04; 95% CI, 1.26-3.29; P = .003), and women (OR, 1.52; 95% CI, 1.13-2.2.05; P = .006). Using antiglaucoma medications was a protective factor (OR, 0.46; 95% CI, 0.27-0.79; P = .005), which slowed 75% of axial elongation from 0.04 (0.06) to 0.01 (0.06) mm/y (P < .001). CONCLUSIONS Axial elongation continued in young adults with nonpathologic myopia. Risk factors included longer baseline AL and axial asymmetry, younger age, and woman. Topical use of antiglaucoma medications may be useful to reduce ongoing axial elongation.
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Affiliation(s)
- Kangjie Kong
- From the 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 (K.K., J.J., P.W., Y.S., F.L., F.L., X.G., X.L., L.J., Z.W., Y.L., M.C., S.C., and X.Z.), Guangzhou, China
| | - Jingwen Jiang
- From the 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 (K.K., J.J., P.W., Y.S., F.L., F.L., X.G., X.L., L.J., Z.W., Y.L., M.C., S.C., and X.Z.), Guangzhou, China
| | - Peiyuan Wang
- From the 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 (K.K., J.J., P.W., Y.S., F.L., F.L., X.G., X.L., L.J., Z.W., Y.L., M.C., S.C., and X.Z.), Guangzhou, China
| | - Yunhe Song
- From the 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 (K.K., J.J., P.W., Y.S., F.L., F.L., X.G., X.L., L.J., Z.W., Y.L., M.C., S.C., and X.Z.), Guangzhou, China
| | - Fengbin Lin
- From the 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 (K.K., J.J., P.W., Y.S., F.L., F.L., X.G., X.L., L.J., Z.W., Y.L., M.C., S.C., and X.Z.), Guangzhou, China
| | - Fei Li
- From the 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 (K.K., J.J., P.W., Y.S., F.L., F.L., X.G., X.L., L.J., Z.W., Y.L., M.C., S.C., and X.Z.), Guangzhou, China
| | - Xinbo Gao
- From the 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 (K.K., J.J., P.W., Y.S., F.L., F.L., X.G., X.L., L.J., Z.W., Y.L., M.C., S.C., and X.Z.), Guangzhou, China
| | - Xiaoyi Liu
- From the 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 (K.K., J.J., P.W., Y.S., F.L., F.L., X.G., X.L., L.J., Z.W., Y.L., M.C., S.C., and X.Z.), Guangzhou, China
| | - Ling Jin
- From the 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 (K.K., J.J., P.W., Y.S., F.L., F.L., X.G., X.L., L.J., Z.W., Y.L., M.C., S.C., and X.Z.), Guangzhou, China
| | - Zhenyu Wang
- From the 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 (K.K., J.J., P.W., Y.S., F.L., F.L., X.G., X.L., L.J., Z.W., Y.L., M.C., S.C., and X.Z.), Guangzhou, China
| | - Yuhong Liu
- From the 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 (K.K., J.J., P.W., Y.S., F.L., F.L., X.G., X.L., L.J., Z.W., Y.L., M.C., S.C., and X.Z.), Guangzhou, China
| | - Meiling Chen
- From the 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 (K.K., J.J., P.W., Y.S., F.L., F.L., X.G., X.L., L.J., Z.W., Y.L., M.C., S.C., and X.Z.), Guangzhou, China
| | - Kyoko Ohno-Matsui
- Department of Ophthalmology and Visual Science, Tokyo Medical and Dental University (K.O.-M.), Bunkyo-ku, Japan
| | - Jost B Jonas
- Department of Ophthalmology, Medical Faculty Mannheim, Heidelberg University (J.B.J.), Mannheim, Germany; Institute of Molecular and Clinical Ophthalmology Basel (J.B.J.), Basel, Switzerland
| | - Shida Chen
- From the 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 (K.K., J.J., P.W., Y.S., F.L., F.L., X.G., X.L., L.J., Z.W., Y.L., M.C., S.C., and X.Z.), Guangzhou, China.
| | - Xiulan Zhang
- From the 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 (K.K., J.J., P.W., Y.S., F.L., F.L., X.G., X.L., L.J., Z.W., Y.L., M.C., S.C., and X.Z.), Guangzhou, China.
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6
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Qian B, Sheng B, Chen H, Wang X, Li T, Jin Y, Guan Z, Jiang Z, Wu Y, Wang J, Chen T, Guo Z, Chen X, Yang D, Hou J, Feng R, Xiao F, Li Y, El Habib Daho M, Lu L, Ding Y, Liu D, Yang B, Zhu W, Wang Y, Kim H, Nam H, Li H, Wu WC, Wu Q, Dai R, Li H, Ang M, Ting DSW, Cheung CY, Wang X, Cheng CY, Tan GSW, Ohno-Matsui K, Jonas JB, Zheng Y, Tham YC, Wong TY, Wang YX. A Competition for the Diagnosis of Myopic Maculopathy by Artificial Intelligence Algorithms. JAMA Ophthalmol 2024; 142:1006-1015. [PMID: 39325442 PMCID: PMC11428027 DOI: 10.1001/jamaophthalmol.2024.3707] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2024] [Accepted: 07/11/2024] [Indexed: 09/27/2024]
Abstract
Importance Myopic maculopathy (MM) is a major cause of vision impairment globally. Artificial intelligence (AI) and deep learning (DL) algorithms for detecting MM from fundus images could potentially improve diagnosis and assist screening in a variety of health care settings. Objectives To evaluate DL algorithms for MM classification and segmentation and compare their performance with that of ophthalmologists. Design, Setting, and Participants The Myopic Maculopathy Analysis Challenge (MMAC) was an international competition to develop automated solutions for 3 tasks: (1) MM classification, (2) segmentation of MM plus lesions, and (3) spherical equivalent (SE) prediction. Participants were provided 3 subdatasets containing 2306, 294, and 2003 fundus images, respectively, with which to build algorithms. A group of 5 ophthalmologists evaluated the same test sets for tasks 1 and 2 to ascertain performance. Results from model ensembles, which combined outcomes from multiple algorithms submitted by MMAC participants, were compared with each individual submitted algorithm. This study was conducted from March 1, 2023, to March 30, 2024, and data were analyzed from January 15, 2024, to March 30, 2024. Exposure DL algorithms submitted as part of the MMAC competition or ophthalmologist interpretation. Main Outcomes and Measures MM classification was evaluated by quadratic-weighted κ (QWK), F1 score, sensitivity, and specificity. MM plus lesions segmentation was evaluated by dice similarity coefficient (DSC), and SE prediction was evaluated by R2 and mean absolute error (MAE). Results The 3 tasks were completed by 7, 4, and 4 teams, respectively. MM classification algorithms achieved a QWK range of 0.866 to 0.901, an F1 score range of 0.675 to 0.781, a sensitivity range of 0.667 to 0.778, and a specificity range of 0.931 to 0.945. MM plus lesions segmentation algorithms achieved a DSC range of 0.664 to 0.687 for lacquer cracks (LC), 0.579 to 0.673 for choroidal neovascularization, and 0.768 to 0.841 for Fuchs spot (FS). SE prediction algorithms achieved an R2 range of 0.791 to 0.874 and an MAE range of 0.708 to 0.943. Model ensemble results achieved the best performance compared to each submitted algorithms, and the model ensemble outperformed ophthalmologists at MM classification in sensitivity (0.801; 95% CI, 0.764-0.840 vs 0.727; 95% CI, 0.684-0.768; P = .006) and specificity (0.946; 95% CI, 0.939-0.954 vs 0.933; 95% CI, 0.925-0.941; P = .009), LC segmentation (DSC, 0.698; 95% CI, 0.649-0.745 vs DSC, 0.570; 95% CI, 0.515-0.625; P < .001), and FS segmentation (DSC, 0.863; 95% CI, 0.831-0.888 vs DSC, 0.790; 95% CI, 0.742-0.830; P < .001). Conclusions and Relevance In this diagnostic study, 15 AI models for MM classification and segmentation on a public dataset made available for the MMAC competition were validated and evaluated, with some models achieving better diagnostic performance than ophthalmologists.
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Affiliation(s)
- Bo Qian
- Shanghai Belt and Road International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai, China
- Ministry of Education Key Laboratory of Artificial Intelligence, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Bin Sheng
- Shanghai Belt and Road International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai, China
- Ministry of Education Key Laboratory of Artificial Intelligence, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Hao Chen
- Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong, China
- Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Hong Kong, China
| | - Xiangning Wang
- Department of Ophthalmology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tingyao Li
- Shanghai Belt and Road International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai, China
- Ministry of Education Key Laboratory of Artificial Intelligence, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Yixiao Jin
- School of Clinical Medicine, Tsinghua Medicine, Tsinghua University, Beijing, China
- School of Clinical Medicine, Beijing Tsinghua Changgung Hospital, Beijing, China
| | - Zhouyu Guan
- Shanghai Belt and Road International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai, China
| | - Zehua Jiang
- School of Clinical Medicine, Tsinghua Medicine, Tsinghua University, Beijing, China
- School of Clinical Medicine, Beijing Tsinghua Changgung Hospital, Beijing, China
| | - Yilan Wu
- School of Clinical Medicine, Tsinghua Medicine, Tsinghua University, Beijing, China
| | - Jinyuan Wang
- School of Clinical Medicine, Tsinghua Medicine, Tsinghua University, Beijing, China
- School of Clinical Medicine, Beijing Tsinghua Changgung Hospital, Beijing, China
| | - Tingli Chen
- Department of Ophthalmology, Shanghai Health and Medical Center, Wuxi, China
| | - Zhengrui Guo
- Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong, China
| | - Xiang Chen
- Shanghai Belt and Road International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai, China
- Ministry of Education Key Laboratory of Artificial Intelligence, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Dawei Yang
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Junlin Hou
- Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University, Shanghai, China
| | - Rui Feng
- Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University, Shanghai, China
- Academy for Engineering and Technology, Fudan University, Shanghai, China
| | - Fan Xiao
- Academy for Engineering and Technology, Fudan University, Shanghai, China
| | - Yihao Li
- Laboratoire de Traitement de l'Information Médicale UMR 1101, Inserm, Brest, France
- Université de Bretagne Occidentale, Brest, France
| | - Mostafa El Habib Daho
- Laboratoire de Traitement de l'Information Médicale UMR 1101, Inserm, Brest, France
- Université de Bretagne Occidentale, Brest, France
| | - Li Lu
- School of Computer Science and Technology, Dongguan University of Technology, Dongguan, China
| | - Ye Ding
- School of Computer Science and Technology, Dongguan University of Technology, Dongguan, China
| | - Di Liu
- AIFUTURE Laboratory, Beijing, China
- National Digital Health Center of China Top Think Tanks, Beijing Normal University, Beijing, China
- School of Journalism and Communication, Beijing Normal University, Beijing, China
| | - Bo Yang
- AIFUTURE Laboratory, Beijing, China
| | - Wenhui Zhu
- School of Computing and Augmented Intelligence, Arizona State University, Tempe
| | - Yalin Wang
- School of Computing and Augmented Intelligence, Arizona State University, Tempe
| | - Hyeonmin Kim
- Mediwhale, Seoul, South Korea
- Pohang University of Science and Technology, Pohang, South Korea
| | | | - Huayu Li
- Department of Electrical and Computer Engineering, University of Arizona, Tucson
| | - Wei-Chi Wu
- Department of Ophthalmology, Linkou Chang Gung Memorial Hospital, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Qiang Wu
- Department of Ophthalmology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Rongping Dai
- Department of Ophthalmology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Huating Li
- Shanghai Belt and Road International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai, China
| | - Marcus Ang
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
| | | | - Carol Y Cheung
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Xiaofei Wang
- Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Ching-Yu Cheng
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
| | - Gavin Siew Wei Tan
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
| | - Kyoko Ohno-Matsui
- Department of Ophthalmology and Visual Science, Tokyo Medical and Dental University, Tokyo, Japan
| | - Jost B Jonas
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
- Institut Français de Myopie, Rothschild Foundation Hospital, Paris, France
| | | | - Yih-Chung Tham
- Center for Innovation and Precision Eye Health, Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Ophthalmology and Visual Science Academic Clinical Program, Duke-National University of Singapore Medical School, Singapore
| | - Tien Yin Wong
- School of Clinical Medicine, Tsinghua Medicine, Tsinghua University, Beijing, China
- School of Clinical Medicine, Beijing Tsinghua Changgung Hospital, Beijing, China
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
- Zhongshan Ophthalmic Center, Guangzhou, China
| | - Ya Xing Wang
- Beijing Institute of Ophthalmology, Beijing Ophthalmology and Visual Sciences Key Laboratory, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China
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7
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Neelam K, Ng SMS, Ho EL, Au Eong KG. Lacquer cracks in pathological myopia: a clinical review. Eye (Lond) 2024; 38:2859-2873. [PMID: 39117703 PMCID: PMC11461616 DOI: 10.1038/s41433-024-03183-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 03/15/2024] [Accepted: 06/11/2024] [Indexed: 08/10/2024] Open
Abstract
Lacquer cracks, described as breaks in the Bruch's membrane, are unique lesions in the spectrum of fundus changes associated with pathological myopia. Lacquer cracks are generally believed to be relatively innocuous lesions by themselves; however, progression to other features of myopic macular degeneration, such as patchy chorioretinal atrophy and choroidal neovascularization, may result in irreversible visual impairment. With the rising prevalence of pathological myopia to epidemic proportions, particularly in the Asian countries, ophthalmologists expect to encounter lacquer cracks more frequently in clinical practice. Therefore, it is crucial for the ophthalmic community to be aware of lacquer cracks and to actively look for these lesions in myopic patients so that early detection and close monitoring can help prevent blinding complications. This article provides a comprehensive review on lacquer cracks in eyes with pathological myopia from a clinical perspective.
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Affiliation(s)
- Kumari Neelam
- Department of Ophthalmology and Visual Sciences, Khoo Teck Puat Hospital, SG, Singapore
- Singapore Eye Research Institute, SG, Singapore
| | - Sean M S Ng
- Yong Loo Ling School of Medicine, National University of Singapore, SG, Singapore
| | - Esther L Ho
- Department of Ophthalmology and Visual Sciences, Khoo Teck Puat Hospital, SG, Singapore.
| | - Kah-Guan Au Eong
- Department of Ophthalmology and Visual Sciences, Khoo Teck Puat Hospital, SG, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, SG, Singapore
- International Eye Cataract Retina Center, Mount Elizabeth Medical Center and Farrer Park Medical Center, SG, Singapore
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8
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Yii F, Nguyen L, Strang N, Bernabeu MO, Tatham AJ, MacGillivray T, Dhillon B. Factors associated with pathologic myopia onset and progression: A systematic review and meta-analysis. Ophthalmic Physiol Opt 2024; 44:963-976. [PMID: 38563652 DOI: 10.1111/opo.13312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 03/19/2024] [Accepted: 03/20/2024] [Indexed: 04/04/2024]
Abstract
PURPOSE To synthesise evidence across studies on factors associated with pathologic myopia (PM) onset and progression based on the META-analysis for Pathologic Myopia (META-PM) classification framework. METHODS Findings from six longitudinal studies (5-18 years) were narratively synthesised and meta-analysed, using odds ratio (OR) as the common measure of association. All studies adjusted for baseline myopia, age and sex at a minimum. The quality of evidence was rated using the Grades of Recommendation, Assessment, Development and Evaluation framework. RESULTS Five out of six studies were conducted in Asia. There was inconclusive evidence of an independent effect (or lack thereof) of ethnicity and sex on PM onset/progression. The odds of PM onset increased with greater axial length (pooled OR: 2.03; 95% CI: 1.71-2.40; p < 0.001), older age (pooled OR: 1.07; 1.05-1.09; p < 0.001) and more negative spherical equivalent refraction, SER (OR: 0.77; 0.68-0.87; p < 0.001), all of which were supported by an acceptable level of evidence. Fundus tessellation was found to independently increase the odds of PM onset in a population-based study (OR: 3.02; 2.58-3.53; p < 0.001), although this was only supported by weak evidence. There was acceptable evidence that greater axial length (pooled OR: 1.23; 1.09-1.39; p < 0.001), more negative SER (pooled OR: 0.87; 0.83-0.92; p < 0.001) and higher education level (pooled OR: 3.17; 1.36-7.35; p < 0.01) increased the odds of PM progression. Other baseline factors found to be associated with PM progression but currently supported by weak evidence included age (pooled OR: 1.01), severity of myopic maculopathy (OR: 3.61), intraocular pressure (OR: 1.62) and hypertension (OR: 0.21). CONCLUSIONS Most PM risk/prognostic factors are not supported by an adequate evidence base at present (an indication that PM remains understudied). Current factors for which an acceptable level of evidence exists (limited in number) are unmodifiable in adults and lack personalised information. More longitudinal studies focusing on uncovering modifiable factors and imaging biomarkers are warranted.
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Affiliation(s)
- Fabian Yii
- Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK
- Curle Ophthalmology Laboratory, Institute for Regeneration and Repair, The University of Edinburgh, Edinburgh, UK
| | - Linda Nguyen
- MRC Human Genetics Unit, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK
| | - Niall Strang
- Department of Vision Sciences, Glasgow Caledonian University, Glasgow, UK
| | - Miguel O Bernabeu
- Centre for Medical Informatics, Usher Institute, The University of Edinburgh, Edinburgh, UK
- The Bayes Centre, The University of Edinburgh, Edinburgh, UK
| | - Andrew J Tatham
- Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK
- Princess Alexandra Eye Pavilion, NHS Lothian, Edinburgh, UK
| | - Tom MacGillivray
- Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK
- Curle Ophthalmology Laboratory, Institute for Regeneration and Repair, The University of Edinburgh, Edinburgh, UK
| | - Baljean Dhillon
- Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK
- Curle Ophthalmology Laboratory, Institute for Regeneration and Repair, The University of Edinburgh, Edinburgh, UK
- Princess Alexandra Eye Pavilion, NHS Lothian, Edinburgh, UK
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9
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Shi H, Guo N, Zhao Z, He X, Li J, Duan J. Global prevalence of myopic macular degeneration in general population and patients with high myopia: A systematic review and meta-analysis. Eur J Ophthalmol 2024; 34:631-640. [PMID: 37439028 DOI: 10.1177/11206721231185816] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/14/2023]
Abstract
The prevalence of myopic macular degeneration (MMD) in the general population and patients with high myopia worldwide has not been fully investigated. Therefore, we screened all population-based studies that reported the prevalence of MMD, and pooled prevalence of MMD using a random-effect model. Subgroup analyses were performed to explore the differences in MMD prevalence in the general population and patients with high myopia according to ethnicity, region of residence (urban/rural), and grading system. Finally, 16 studies were included in this meta-analysis. Results obtained from 2,963 patients from seven countries on four continents indicated that the pooled prevalence of MMD in patients with high myopia was 49.0% (95% CI: 31.5%-66.7%). Results obtained from 71,052 participants from 10 countries on four continents suggested that the pooled prevalence of MMD in the general population was 1.7% (95% CI: 1.1%-2.6%). In the general population, living in urban areas and East Asians were associated with a high prevalence of MMD. Among patients with high myopia, only East Asians were at a higher risk of developing MMD. In conclusion, MMD was particularly prevalent in patients with high myopia. Compared with Europeans, East Asians (Chinese and Japanese) have a higher propensity of developing MMD, both in the general population and in patients with high myopia. It remains unclear whether the higher prevalence of MMD in patients with high myopia in East Asia is caused by differences in given age or given degree of myopia.Systematic review registration number: 202270014 (INPLASY.COM).
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Affiliation(s)
- Hekai Shi
- Department of Ophthalmology, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Nuojin Guo
- School of Basic Medicine, Hebei Medical University, Shijiazhuang, China
| | - Zeming Zhao
- School of Basic Medicine, Hebei Medical University, Shijiazhuang, China
| | - Xiaoyu He
- School of Basic Medicine, Hebei Medical University, Shijiazhuang, China
| | - Jiahang Li
- Department of Ophthalmology, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Jialiang Duan
- Department of Ophthalmology, The Second Hospital of Hebei Medical University, Shijiazhuang, China
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10
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Müller J, Chen X, Ohlendorf A, Li L, Wahl S. Method comparison and overview of refractive measurements in children: implications for myopia management. BMJ Open Ophthalmol 2024; 9:e001322. [PMID: 38429067 PMCID: PMC10910427 DOI: 10.1136/bmjophth-2023-001322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 01/28/2024] [Indexed: 03/03/2024] Open
Abstract
OBJECTIVE This study investigated the agreement between objective wavefront-based refraction and subjective refraction in myopic children. It also assessed the impact of cyclopentolate and refraction levels on the agreement. METHODS A total of 84 eyes of myopic children aged 6-13 years were included in the analysis. Non-cycloplegic and cycloplegic objective wavefront-based refraction were determined and cycloplegic subjective refraction was performed for each participant. The data were converted into spherical equivalent, J0 and J45, and Bland-Altman plots were used to analyse the agreement between methods. RESULTS Linear functions were used to determine the dependency between the central myopic refractive error and the difference between the method of refraction (=bias). The influence of central myopia was not clinically relevant when analysing the agreement between wavefront results with and without cyclopentolate (comparison 1). The bias for wavefront-based minus subjective spherical equivalent refraction (comparison 2) was ≤-0.50 D (95% limits of agreement -0.010 D to -1.00 D) for myopia of -4.55 D and higher when cycloplegia was used (p<0.05). When no cyclopentolate was used for the wavefront-based refraction (comparison 3), the bias of -0.50 D (95% limits of agreement -0.020 D to -0.97 D) was already reached at a myopic error of -2.97 D. Both astigmatic components showed no clinically relevant bias. CONCLUSION The spherical equivalent, measured without cycloplegic agents, led to more myopic measurements when wavefront-based refraction was used. The observed bias increased with the amount of myopic refractive error for comparisons 2 and 3, which needs to be considered when interpreting wavefront-refraction data. TRIAL REGISTRATION NUMBER NCT05288335.
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Affiliation(s)
- Jonas Müller
- Institute for Ophthalmic Research, Eberhard Karls University Tuebingen, Tuebingen, Germany
| | - Xiaoqin Chen
- Tianjin Eye Institute, Tianjin Eye Hospital, Tianjin, China
| | - Arne Ohlendorf
- Institute for Ophthalmic Research, Eberhard Karls University Tuebingen, Tuebingen, Germany
- Carl Zeiss Vision International GmbH, Aalen, Germany
| | - Lihua Li
- Tianjin Eye Institute, Tianjin Eye Hospital, Tianjin, China
| | - Siegfried Wahl
- Institute for Ophthalmic Research, Eberhard Karls University Tuebingen, Tuebingen, Germany
- Carl Zeiss Vision International GmbH, Aalen, Germany
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11
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Zhang S, Chen Y, Li Z, Wang W, Xuan M, Zhang J, Hu Y, Chen Y, Xiao O, Yin Q, Zheng Y, He M, Han X. Axial Elongation Trajectories in Chinese Children and Adults With High Myopia. JAMA Ophthalmol 2024; 142:87-94. [PMID: 38153745 PMCID: PMC10870182 DOI: 10.1001/jamaophthalmol.2023.5835] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 10/28/2023] [Indexed: 12/29/2023]
Abstract
Importance Understanding the long-term axial elongation trajectory in high myopia is important to prevent blindness. Objective To evaluate axial elongation trajectories and related visual outcomes in children and adults with high myopia. Design, Setting, and Participants In this cohort study, participants in the Zhongshan Ophthalmic Centre-Brien Holden Vision Institute high myopia cohort were followed up every other year for 8 years. Participants with axial length measurements at baseline (2011 or 2012) and at least 1 follow-up visit were included. Participants were grouped according to baseline age as children and adolescents (7 to <18 years), young adults (18 to <40 years), and older adults (≥40 to 70 years). Data were analyzed from November 1, 2022, to June 1, 2023. Exposure High myopia (spherical power ≤-6.00 diopters). Main Outcomes and Measures Longitudinal axial elongation trajectories were identified by cluster analysis. Axial elongation rates were calculated by linear mixed-effects models. A 2-sided P < .05 was defined as statistically significant. Results A total of 793 participants (median [range] age, 17.8 [6.8-69.7] years; 418 females [52.7%]) and 1586 eyes were included in the analyses. Mean axial elongation rates were 0.46 mm/y (95% CI, 0.44-0.48 mm/y) for children and adolescents, 0.07 mm/y (95% CI, 0.06-0.09 mm/y) for young adults, and 0.13 mm/y (95% CI, 0.07-0.19 mm/y) for older adults. Cluster analysis identified 3 axial elongation trajectories, with the stable, moderate, and rapid progression trajectories having mean axial elongation rates of 0.02 mm/y (95% CI, 0.01-0.02 mm/y), 0.12 mm/y (95% CI, 0.11-0.13 mm/y), and 0.38 mm/y (95% CI, 0.35-0.42 mm/y), respectively. At 8 years of follow-up, compared with the stable progression trajectory, the rapid progression trajectory was associated with a 6.92 times higher risk of developing pathological myopic macular degeneration (defined as diffuse or patchy chorioretinal atrophy or macular atrophy; odds ratio, 6.92 [95% CI, 1.07-44.60]; P = .04), and it was associated with a 0.032 logMAR decrease in best-corrected visual acuity (β = 0.032 [95% CI, 0.001-0.063]; P = .04). Conclusions and Relevance The findings of this 8-year follow-up study suggest that axial length in high myopia continues to increase from childhood to late adulthood following 3 distinct trajectories. At 8 years of follow-up, the rapid progression trajectory was associated with a higher risk of developing pathological myopic macular degeneration and poorer best-corrected visual acuity compared with the stable progression trajectory. These distinct axial elongation trajectories could prove valuable for early identification and intervention for high-risk individuals.
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Affiliation(s)
- Shiran Zhang
- 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
| | - Yanping Chen
- 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
| | - Zhixi Li
- 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
| | - Wei Wang
- 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
| | - Meng Xuan
- 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
| | - Jian Zhang
- 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
| | - Yin Hu
- 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
| | - Yanxian Chen
- Experimental Ophthalmology, The Hong Kong Polytechnic University, Hong Kong, People’s Republic of China
| | - Ou Xiao
- 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
| | - Qiuxia Yin
- 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
| | - Yingfeng Zheng
- 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
| | - Mingguang He
- 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
- Experimental Ophthalmology, The Hong Kong Polytechnic University, Hong Kong, People’s Republic of China
| | - Xiaotong Han
- 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
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12
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Sayah DN, Garg I, Katz R, Zhu Y, Cui Y, Zeng R, Tandias R, Moon JY, Vingopoulos F, Wescott HE, Baldwin G, Wang K, Elze T, Ludwig CA, Vavvas DG, Miller JW, Husain D, Kim LA, Patel NA, Miller JB. Characterizing Macular Neovascularization in Myopic Macular Degeneration and Age-Related Macular Degeneration Using Swept Source OCTA. Clin Ophthalmol 2023; 17:3855-3866. [PMID: 38105914 PMCID: PMC10725687 DOI: 10.2147/opth.s440575] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Accepted: 11/27/2023] [Indexed: 12/19/2023] Open
Abstract
Purpose Visual prognosis and treatment burden for macular neovascularization (MNV) can differ between myopic macular degeneration (MMD) and age-related macular degeneration (AMD). We describe and compare MNV associated with MMD and AMD using swept-source (SS)-OCTA. Patients and Methods Adult patients with documented MNV associated with MMD or AMD were consecutively recruited. Qualitative and quantitative features were assessed from 6x6mm angiograms, including the MNV area and vessel density (VD). Descriptive statistics and linear regression analyses were carried out. Results Out of 75 enrolled eyes with diagnosed MNV (30 MMD-MNV and 45 AMD-MNV; mean age 55±19 and 75±8 years, respectively), 44 eyes had discernible MNV (11 MMD-MNV and 33 AMD-MNV) on SS-OCTA at the time of the study and were included in the analysis. The MMD-MNV group exhibited a three-fold smaller sized MNV (p=0.001), lower greatest linear dimension (p=0.009) and greatest vascular caliber (p<0.001) compared to AMD-MNVs, and had a higher prevalence of tree-in-bud pattern. Eyes with AMD showed a higher prevalence of type 1 MNVs with medusa pattern. There was no difference in the location of the MNV, shape's regularity, margins, presence of core vessel, capillary fringe, peripheral loops, or perilesional dark halo (p>0.05) between both conditions. After adjustment, decreased MNV area and increased VD were associated with the tree-in-bud pattern, whereas the diagnosis did not significantly influence those parameters. Conclusion While larger studies are warranted, this study is the first to describe and compare MMD-MNV and AMD-MNV using SS-OCTA, providing relevant clinical insight on MNV secondary to MMD and AMD. These findings also further validate OCTA as a powerful tool to detect and characterize MNV non-invasively.
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Affiliation(s)
- Diane N Sayah
- Harvard Retinal Imaging Lab, Boston, MA, USA
- Retina Service, Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA
- College of Optometry, University of Houston, Houston, TX, USA
| | - Itika Garg
- Harvard Retinal Imaging Lab, Boston, MA, USA
- Retina Service, Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA
| | - Raviv Katz
- Harvard Retinal Imaging Lab, Boston, MA, USA
- Retina Service, Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA
| | - Ying Zhu
- Harvard Retinal Imaging Lab, Boston, MA, USA
- Eye Center of Xiangya Hospital, Central South University, Changsha, Hunan, People’s Republic of China
| | - Ying Cui
- Harvard Retinal Imaging Lab, Boston, MA, USA
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, People’s Republic of China
| | - Rebecca Zeng
- Harvard Retinal Imaging Lab, Boston, MA, USA
- Retina Service, Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA
| | - Rachel Tandias
- Harvard Retinal Imaging Lab, Boston, MA, USA
- Retina Service, Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA
| | - Jade Y Moon
- Harvard Retinal Imaging Lab, Boston, MA, USA
- Retina Service, Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA
| | - Filippos Vingopoulos
- Harvard Retinal Imaging Lab, Boston, MA, USA
- Retina Service, Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA
| | - Hannah E Wescott
- Harvard Retinal Imaging Lab, Boston, MA, USA
- Retina Service, Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA
| | - Grace Baldwin
- Harvard Retinal Imaging Lab, Boston, MA, USA
- Retina Service, Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA
| | - Kira Wang
- Harvard Retinal Imaging Lab, Boston, MA, USA
- Retina Service, Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA
| | - Tobias Elze
- Harvard Retinal Imaging Lab, Boston, MA, USA
- Retina Service, Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA
| | - Cassie Ann Ludwig
- Harvard Retinal Imaging Lab, Boston, MA, USA
- Retina Service, Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA
| | - Demetrios G Vavvas
- Harvard Retinal Imaging Lab, Boston, MA, USA
- Retina Service, Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA
| | - Joan W Miller
- Harvard Retinal Imaging Lab, Boston, MA, USA
- Retina Service, Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA
| | - Deeba Husain
- Harvard Retinal Imaging Lab, Boston, MA, USA
- Retina Service, Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA
| | - Leo A Kim
- Harvard Retinal Imaging Lab, Boston, MA, USA
- Retina Service, Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA
| | - Nimesh A Patel
- Harvard Retinal Imaging Lab, Boston, MA, USA
- Retina Service, Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA
| | - John B Miller
- Harvard Retinal Imaging Lab, Boston, MA, USA
- Retina Service, Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA
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13
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Chen Z, Gu D, Wang B, Kang P, Watt K, Yang Z, Zhou X. Significant myopic shift over time: Sixteen-year trends in overall refraction and age of myopia onset among Chinese children, with a focus on ages 4-6 years. J Glob Health 2023; 13:04144. [PMID: 37934967 PMCID: PMC10630697 DOI: 10.7189/jogh.13.04144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2023] Open
Abstract
Background Myopia or near-sightedness is a major cause of blindness in China and typically develops between the ages of 6-12 years. We aimed to investigate the change in refractive error and the age of myopia onset in Chinese children from 2005 to 2021. Methods We first conducted a series of cross-sectional studies to determine the refractive states and the age of myopia onset over time, after which we analysed longitudinal data to investigate the dose-response relationship between hyperopic reserve and future risk of myopia. The analysis was based on the refraction data of children aged 4-18 years who visited the Fudan University Eye and Ear, Nose, and Throat (FUEENT) Hospital, a large tertiary hospital in Shanghai, China, for eye examinations between 2005 and 2021. We examined the prevalence of hyperopia (spherical equivalent refractive error (SERE) >0.75D), pre-myopia (-0.50D < SERE ≤ 0.75D), and myopia (SERE ≤-0.50D), the average SERE for each age group at the initial visit, the average age of myopia onset, and the safety threshold of hyperopic reserve against myopia onset. Results We included 870 372 eligible patients aged 4-18 years who attended examination between 2005 and 2021, 567 893 (65.2%) of whom were myopic at their initial visit to FUEENT. The mean SERE decreased in most (n/N = 14/15) of the age groups over the 16 calendar years, with a mean SERE for the whole cohort decreasing from -1.01D (standard deviation (SD) = 3.46D) in 2005 to -1.30D (SD = 3.11D) in 2021. The prevalence of pre-myopia increased over the 16 years (P < 0.001), while those of myopia and hyperopia remained largely stable (both P > 0.05). We observed a significant decrease in the prevalence of hyperopia (2005: 65.4% vs 2021: 51.1%; P < 0.001) and a significant increase in the prevalence of pre-myopia (2005: 19.0% vs 2021: 26.5%; P < 0.001) and myopia (2005: 15.6% vs 2021: 22.4%; P < 0.001) in children aged 4-6 years. We found an earlier myopia onset over time, with the mean age of onset decreasing from 10.6 years in 2005 to 7.6 years in 2021 (P < 0.001). Children with a hyperopic reserve of less than 1.50D were at increased risk of developing myopia during a median follow-up of 1.3 years. Conclusions We found an overall myopic shift in SERE in Chinese children aged 4-18 years over the past 16 years, particularly in those aged 4-6 years. The mean age of myopia onset decreased by three years over the same period. The "safety threshold" of hyperopic reserve we identified may help target the high-risk population for early prevention.
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Affiliation(s)
- Zhi Chen
- Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, China
- NHC Key Laboratory of Myopia (Fudan University); Key Laboratory of Myopia, Chinese Academy of Medical Sciences, Shanghai, China
- Shanghai Research Center of Ophthalmology and Optometry, Shanghai, 200031, China
- Shanghai Engineering Research Center of Laser and Autostereoscopic 3D for Vision Care, Shanghai, China
| | - Dantong Gu
- Clinical Research and Achievement Translation Center, Eye & ENT Hospital, Fudan University, Shanghai, China
| | - Bingjie Wang
- School of Optometry and Vision Science, University of New South Wales, Australia
| | - Pauline Kang
- School of Optometry and Vision Science, University of New South Wales, Australia
| | - Kathleen Watt
- School of Optometry and Vision Science, University of New South Wales, Australia
| | - Zuyao Yang
- Division of Epidemiology, JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Xingtao Zhou
- Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, China
- NHC Key Laboratory of Myopia (Fudan University); Key Laboratory of Myopia, Chinese Academy of Medical Sciences, Shanghai, China
- Shanghai Research Center of Ophthalmology and Optometry, Shanghai, 200031, China
- Shanghai Engineering Research Center of Laser and Autostereoscopic 3D for Vision Care, Shanghai, China
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14
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Clark R, Kneepkens SCM, Plotnikov D, Shah RL, Huang Y, Tideman JWL, Klaver CCW, Atan D, Williams C, Guggenheim JA. Time Spent Outdoors Partly Accounts for the Effect of Education on Myopia. Invest Ophthalmol Vis Sci 2023; 64:38. [PMID: 38010695 PMCID: PMC10683767 DOI: 10.1167/iovs.64.14.38] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Accepted: 10/31/2023] [Indexed: 11/29/2023] Open
Abstract
Purpose The purpose of this study was to investigate if education contributes to the risk of myopia because educational activities typically occur indoors or because of other factors, such as prolonged near viewing. Methods This was a two-sample Mendelian randomization study. Participants were from the UK Biobank, Avon Longitudinal Study of Parents and Children, and Generation R. Genetic variants associated with years spent in education or time spent outdoors were used as instrumental variables. The main outcome measures were: (1) spherical equivalent refractive error attained by adulthood, and (2) risk of an early age-of-onset of spectacle wear (EAOSW), defined as an age-of-onset of 15 years or below. Results Time spent outdoors was found to have a small genetic component (heritability 9.8%) that tracked from childhood to adulthood. A polygenic score for time outdoors was associated with children's time outdoors; a polygenic score for years spent in education was inversely associated with children's time outdoors. Accounting for the relationship between time spent outdoors and myopia in a multivariable Mendelian randomization analysis reduced the size of the causal effect of more years in education on myopia to -0.17 diopters (D) per additional year of formal education (95% confidence interval [CI] = -0.32 to -0.01) compared with the estimate from a univariable Mendelian randomization analysis of -0.27 D per year (95% CI = -0.41 to -0.13). Comparable results were obtained for the outcome EAOSW. Conclusions Accounting for the effects of time outdoors reduced the estimated causal effect of education on myopia by 40%. These results suggest about half of the relationship between education and myopia may be mediated by children not being outdoors during schooling.
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Affiliation(s)
- Rosie Clark
- School of Optometry and Vision Sciences, Cardiff University, Cardiff, United Kingdom
| | - Sander C. M. Kneepkens
- Department of Ophthalmology, Erasmus University Medical Center, CA Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus University Medical Center, CA Rotterdam, The Netherlands
- Generation R Study Group, Erasmus University Medical Center, CA Rotterdam, The Netherlands
| | - Denis Plotnikov
- Central Research Laboratory, Kazan State Medical University, Kazan, Russia
| | - Rupal L. Shah
- Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, International Centre for Life, Central Parkway, Newcastle upon Tyne, United Kingdom
| | - Yu Huang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - J. Willem L. Tideman
- Department of Ophthalmology, Erasmus University Medical Center, CA Rotterdam, The Netherlands
- Department of Ophthalmology, Martini Hospital, RM Groningen, The Netherlands
| | - Caroline C. W. Klaver
- Department of Ophthalmology, Erasmus University Medical Center, CA Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus University Medical Center, CA Rotterdam, The Netherlands
- Generation R Study Group, Erasmus University Medical Center, CA Rotterdam, The Netherlands
- Institute of Molecular and Clinical Ophthalmology, Basel, Switzerland
- Department of Ophthalmology, Radboud University Medical Center, GA Nijmegen, The Netherlands
| | - Denize Atan
- Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS81NU, United Kingdom
| | - Cathy Williams
- Centre for Academic Child Health, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS81NU, United Kingdom
| | - Jeremy A. Guggenheim
- School of Optometry and Vision Sciences, Cardiff University, Cardiff, United Kingdom
| | - for the UK Biobank Eye and Vision Consortium
- School of Optometry and Vision Sciences, Cardiff University, Cardiff, United Kingdom
- Department of Ophthalmology, Erasmus University Medical Center, CA Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus University Medical Center, CA Rotterdam, The Netherlands
- Generation R Study Group, Erasmus University Medical Center, CA Rotterdam, The Netherlands
- Central Research Laboratory, Kazan State Medical University, Kazan, Russia
- Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, International Centre for Life, Central Parkway, Newcastle upon Tyne, United Kingdom
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Department of Ophthalmology, Martini Hospital, RM Groningen, The Netherlands
- Institute of Molecular and Clinical Ophthalmology, Basel, Switzerland
- Department of Ophthalmology, Radboud University Medical Center, GA Nijmegen, The Netherlands
- Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS81NU, United Kingdom
- Centre for Academic Child Health, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS81NU, United Kingdom
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15
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Guo D, Qi J, Du Y, Zhao C, Liu S, Lu Y, Zhu X. Tear inflammatory cytokines as potential biomarkers for myopic macular degeneration. Exp Eye Res 2023; 235:109648. [PMID: 37704045 DOI: 10.1016/j.exer.2023.109648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Revised: 08/26/2023] [Accepted: 09/10/2023] [Indexed: 09/15/2023]
Abstract
Previous studies have reported that inflammatory cytokine levels increase in the intraocular fluids (aqueous humor and vitreous) of highly myopic eyes, However, there has been currently no study revealing the levels of inflammatory cytokines in tear. Therefore, this study aimed to determine tear cytokine levels of highly myopic eyes, and their relationships with myopic macular degeneration (MMD). This case-control study screened inflammatory cytokines of tear samples from 132 highly myopic and 105 emmetropic eyes using a multiplex cytokine antibody array, and cytokines showing significant intergroup differences were further validated using ProQuantum immunoassays in tear samples from another 60 highly myopic and 60 emmetropic eyes. Ultra-widefield fundus photographs of eyes were classified according to the meta-analyses of the Pathologic Myopia Classification. Associations between tear cytokine levels and MMD category were investigated. As a result, tear levels of interleukin (IL)-6, IL-13 and monocyte chemoattractant protein (MCP)-1 were screened significantly higher in highly myopic eyes than in emmetropic controls (IL-6: 11.70 ± 16.81 versus 8.22 ± 10.76 pg/mL; MCP-1: 63.60 ± 54.40 versus 33.87 ± 43.82 pg/mL; both P < 0.05). Validation assays further demonstrated the elevated concentrations of IL-6 and MCP-1 (IL-6: 13.97 ± 8.41 versus 8.06 ± 7.94 pg/mL, P < 0.001; MCP-1: 32.69 ± 8.41 versus 18.07 ± 8.41 pg/mL, P = 0.003). Tear levels of IL-6 and MCP-1 differed significantly among MMD categories (both P < 0.05). The area under receiver operating characteristic curve were 0.783 and 0.682 respectively (both P < 0.05), when using tear IL-6 and MCP-1 levels to predict the presence of MMD (category ≥2). The ordered logistic regression model also indicated that longer axial length, and higher IL-6 and MCP-1 tear levels were independent predictors of higher MMD category. In our study, highly myopic eyes presented significantly higher levels of tear IL-6 and MCP-1, which may also serve as potential biomarkers for MMD.
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Affiliation(s)
- Dongling Guo
- Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, China; NHC Key Laboratory of Myopia, Fudan University, Shanghai, China; Key Laboratory of Myopia, Chinese Academy of Medical Science, Shanghai, China; Shanghai Key Laboratory of Visual Impairment and Restoration, Shanghai, China
| | - Jiao Qi
- Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, China; NHC Key Laboratory of Myopia, Fudan University, Shanghai, China; Key Laboratory of Myopia, Chinese Academy of Medical Science, Shanghai, China; Shanghai Key Laboratory of Visual Impairment and Restoration, Shanghai, China
| | - Yu Du
- Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, China; NHC Key Laboratory of Myopia, Fudan University, Shanghai, China; Key Laboratory of Myopia, Chinese Academy of Medical Science, Shanghai, China; Shanghai Key Laboratory of Visual Impairment and Restoration, Shanghai, China
| | - Chen Zhao
- Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, China
| | - Shuyu Liu
- Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, China; NHC Key Laboratory of Myopia, Fudan University, Shanghai, China; Key Laboratory of Myopia, Chinese Academy of Medical Science, Shanghai, China; Shanghai Key Laboratory of Visual Impairment and Restoration, Shanghai, China
| | - Yi Lu
- Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, China; NHC Key Laboratory of Myopia, Fudan University, Shanghai, China; Key Laboratory of Myopia, Chinese Academy of Medical Science, Shanghai, China; Shanghai Key Laboratory of Visual Impairment and Restoration, Shanghai, China
| | - Xiangjia Zhu
- Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, China; NHC Key Laboratory of Myopia, Fudan University, Shanghai, China; Key Laboratory of Myopia, Chinese Academy of Medical Science, Shanghai, China; Shanghai Key Laboratory of Visual Impairment and Restoration, Shanghai, China.
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16
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Clark R, Lee SSY, Du R, Wang Y, Kneepkens SCM, Charng J, Huang Y, Hunter ML, Jiang C, Tideman JWL, Melles RB, Klaver CCW, Mackey DA, Williams C, Choquet H, Ohno-Matsui K, Guggenheim JA. A new polygenic score for refractive error improves detection of children at risk of high myopia but not the prediction of those at risk of myopic macular degeneration. EBioMedicine 2023; 91:104551. [PMID: 37055258 PMCID: PMC10203044 DOI: 10.1016/j.ebiom.2023.104551] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 03/17/2023] [Accepted: 03/17/2023] [Indexed: 04/15/2023] Open
Abstract
BACKGROUND High myopia (HM), defined as a spherical equivalent refractive error (SER) ≤ -6.00 diopters (D), is a leading cause of sight impairment, through myopic macular degeneration (MMD). We aimed to derive an improved polygenic score (PGS) for predicting children at risk of HM and to test if a PGS is predictive of MMD after accounting for SER. METHODS The PGS was derived from genome-wide association studies in participants of UK Biobank, CREAM Consortium, and Genetic Epidemiology Research on Adult Health and Aging. MMD severity was quantified by a deep learning algorithm. Prediction of HM was quantified as the area under the receiver operating curve (AUROC). Prediction of severe MMD was assessed by logistic regression. FINDINGS In independent samples of European, African, South Asian and East Asian ancestry, the PGS explained 19% (95% confidence interval 17-21%), 2% (1-3%), 8% (7-10%) and 6% (3-9%) of the variation in SER, respectively. The AUROC for HM in these samples was 0.78 (0.75-0.81), 0.58 (0.53-0.64), 0.71 (0.69-0.74) and 0.67 (0.62-0.72), respectively. The PGS was not associated with the risk of MMD after accounting for SER: OR = 1.07 (0.92-1.24). INTERPRETATION Performance of the PGS approached the level required for clinical utility in Europeans but not in other ancestries. A PGS for refractive error was not predictive of MMD risk once SER was accounted for. FUNDING Supported by the Welsh Government and Fight for Sight (24WG201).
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Affiliation(s)
- Rosie Clark
- School of Optometry & Vision Sciences, Cardiff University, Maindy Road, Cardiff, CF24 4HQ, UK
| | - Samantha Sze-Yee Lee
- University of Western Australia, Centre for Ophthalmology and Visual Science (incorporating the Lions Eye Institute), Perth, Western Australia, Australia
| | - Ran Du
- Department of Ophthalmology and Visual Science, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 1138510, Japan; Department of Ophthalmology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, 100045, China
| | - Yining Wang
- Department of Ophthalmology and Visual Science, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 1138510, Japan
| | - Sander C M Kneepkens
- Department of Ophthalmology, Erasmus University Medical Center, Rotterdam, the Netherlands; Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands; Generation R Study Group, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Jason Charng
- University of Western Australia, Centre for Ophthalmology and Visual Science (incorporating the Lions Eye Institute), Perth, Western Australia, Australia; Department of Optometry, School of Allied Health, University of Western Australia, Perth, Australia
| | - Yu Huang
- Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Michael L Hunter
- Busselton Health Study Centre, Busselton Population Medical Research Institute, Busselton, Western Australia; School of Population and Global Health, University of Western Australia, Perth, Western Australia
| | - Chen Jiang
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - J Willem L Tideman
- Department of Ophthalmology, Martini Hospital, Groningen, the Netherlands; Department of Ophthalmology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Ronald B Melles
- Department of Ophthalmology Kaiser Permanente Northern California, Redwood City, CA, USA
| | - Caroline C W Klaver
- Department of Ophthalmology, Erasmus University Medical Center, Rotterdam, the Netherlands; Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands; Generation R Study Group, Erasmus University Medical Center, Rotterdam, the Netherlands; Institute of Molecular and Clinical Ophthalmology, Basel, Switzerland; Department of Ophthalmology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - David A Mackey
- University of Western Australia, Centre for Ophthalmology and Visual Science (incorporating the Lions Eye Institute), Perth, Western Australia, Australia; Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, University of Melbourne, East Melbourne, Victoria, Australia; School of Medicine, Menzies Research Institute Tasmania, University of Tasmania, Hobart, Tasmania, Australia
| | - Cathy Williams
- Centre for Academic Child Health, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS81NU, UK
| | - Hélène Choquet
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Kyoko Ohno-Matsui
- Department of Ophthalmology and Visual Science, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 1138510, Japan
| | - Jeremy A Guggenheim
- School of Optometry & Vision Sciences, Cardiff University, Maindy Road, Cardiff, CF24 4HQ, UK.
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17
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Does PLEX ® Elite 9000 OCT Identify and Characterize Most Posterior Pole Lesions in Highly Myopic Patients? J Clin Med 2023; 12:jcm12051846. [PMID: 36902634 PMCID: PMC10003842 DOI: 10.3390/jcm12051846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 02/21/2023] [Accepted: 02/22/2023] [Indexed: 03/03/2023] Open
Abstract
High myopia (HM) is defined as an axial length (AL) ≥ 26 mm that may result in various pathologies that constitute pathologic myopia (PM). The PLEX® Elite 9000 (Carl Zeiss AC, Jena, Germany) is a new swept-source optical coherence tomography (SS-OCT) underdevelopment that allows wider, deeper and more detailed posterior-segment visualization; it can acquire ultra-wide OCT angiography (OCTA) or new ultra-wide high-density scans in one image. We assessed the technology's ability to identify/characterize/quantify staphylomas and posterior pole lesions or image biomarkers in highly myopic Spanish patients and estimate the technology's potential to detect macular pathology. The instrument acquired 6 × 6 OCTA, 12 × 12 or 6 × 6 OCT cubes, and at least two high-definition spotlight single scans. A hundred consecutive patients (179 eyes; age, 51.4 ± 16.8 years; AL, 28.8 ± 2.33 mm) were recruited in one center for this prospective observational study. Six eyes were excluded because images were not acquired. The most common alterations were perforating scleral vessels (88.8%), classifiable staphyloma (68.7%), vascular folds (43%), extrafoveal retinoschisis (24%), dome-shaped macula (15.6%), and more uncommonly, scleral dehiscence (4.46%), intrachoroidal cavitation (3.35%), and macular pit (2.2%). The retinal thickness of these patients decreased, and the foveal avascular zone increased in the superficial plexus compared with normal eyes. SS-OCT is a novel potent tool that can detect most main posterior pole complications in PM and may provide us with a better understanding of the associated pathologies; some pathologies were identifiable only with this new kind of equipment, such as perforating scleral vessels, which seem to be the most common finding and not so frequently related to choroidal neovascularization, as previously reported.
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18
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Ho S, Ly A, Ohno-Matsui K, Kalloniatis M, Doig GS. Diagnostic accuracy of OCTA and OCT for myopic choroidal neovascularisation: a systematic review and meta-analysis. Eye (Lond) 2023; 37:21-29. [PMID: 36456704 PMCID: PMC9829918 DOI: 10.1038/s41433-022-02227-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 06/26/2022] [Accepted: 08/25/2022] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND/OBJECTIVES The purpose of this project was to systematically review and meta-analyse studies assessing the diagnostic accuracy of optical coherence tomography angiography (OCTA) and optical coherence tomography (OCT) for myopic choroidal neovascularisation (mCNV). Fluorescein angiography (FA) was accepted as the reference standard. METHODS PUBMED and EMBASE were searched from inception to March 2021 for studies evaluating the test accuracy of OCTA and/or OCT for diagnosing mCNV. The Preferred Reporting Items for Systematic Reviews and Meta-analyses of Diagnostic Test Accuracy Studies guideline was followed, and the Grading of Recommendations, Assessment, Development and Evaluation approach was used to frame clinical recommendations. Pooled estimates of test accuracy were obtained using a bivariate model. RESULTS Of 410 studies assessed for eligibility, 3 studies were identified that compared OCTA to FA and 3 studies were identified that compared spectral domain (SD) OCT to FA. All studies had at least one major methodological flaw leading to an overall high risk of bias. On meta-analysis, the pooled sensitivity of OCTA was 0.89 (95% CI 0.78-0.94) and pooled specificity was 0.93 (95% CI 0.79-0.98). The pooled sensitivity of SD-OCT was 0.99 (95% CI 0.91-1.00). Due to uncertainty in individual studies, the pooled specificity of SD-OCT could not be estimated. CONCLUSIONS OCTA can reliably diagnose mCNV in clinically suspected patients, however, SD-OCT may not reliably establish a positive diagnosis of mCNV. Future large, prospective studies with improvements in conduct and reporting are needed to strengthen these clinical recommendations.
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Affiliation(s)
- Sharon Ho
- Centre for Eye Health, UNSW Medicine and Health, University of New South Wales, Sydney, NSW, Australia
- School of Optometry and Vision Science, UNSW Medicine and Health, University of New South Wales, Sydney, NSW, Australia
| | - Angelica Ly
- Centre for Eye Health, UNSW Medicine and Health, University of New South Wales, Sydney, NSW, Australia
- School of Optometry and Vision Science, UNSW Medicine and Health, University of New South Wales, Sydney, NSW, Australia
- Brien Holden Vision Institute, University of New South Wales, Sydney, NSW, Australia
| | - Kyoko Ohno-Matsui
- Department of Ophthalmology and Visual Science, Tokyo Medical and Dental University, Tokyo, Japan
| | - Michael Kalloniatis
- Centre for Eye Health, UNSW Medicine and Health, University of New South Wales, Sydney, NSW, Australia
- School of Optometry and Vision Science, UNSW Medicine and Health, University of New South Wales, Sydney, NSW, Australia
| | - Gordon S Doig
- Centre for Eye Health, UNSW Medicine and Health, University of New South Wales, Sydney, NSW, Australia.
- School of Optometry and Vision Science, UNSW Medicine and Health, University of New South Wales, Sydney, NSW, Australia.
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19
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The correlation of atrophy, traction and neovascularization in myopic choroidal neovascularization according to a novel myopic maculopathy classification system (atrophy (A), traction (T), neovascularization (N): ATN). Int Ophthalmol 2022; 42:2925-2932. [DOI: 10.1007/s10792-022-02423-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 07/04/2022] [Indexed: 10/16/2022]
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20
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Different impact of early and late stages irreversible eye diseases on vision-specific quality of life domains. Sci Rep 2022; 12:8465. [PMID: 35589884 PMCID: PMC9120442 DOI: 10.1038/s41598-022-12425-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Accepted: 04/18/2022] [Indexed: 11/09/2022] Open
Abstract
To determine the differential impact of the irreversible eye diseases on vision-related quality of life (VRQoL) in a multi-ethnic Asian population. 2652 participants from the Singapore Epidemiology of Eye Disease Study, with any of the following early and late-stage eye conditions including age-related macular degeneration (AMD, n = 158), diabetic retinopathy (DR, n = 105; non vision threatening [non-VTDR]; VTDR), glaucoma (n = 57) and myopic macular degeneration (MMD, n = 106), or none of the above (controls, 2226 [83.9%]) were included. Rasch-scaled scores of the Emotional well-being Mobility and Reading subscales of the Impact of Vision Impairment (IVI) questionnaire, collectively referred to as "VRQoL" were assessed. Multivariable linear regression analyses and pairwise comparisons adjusting for age, gender, ethnicity, socio-economic status, BMI, smoking, alcohol use, presence of systemic diseases and presenting VI were performed to assess and compare the impact of the presence and severity of each eye condition on the three IVI domains. Multivariable adjusted pairwise comparisons of VRQoL between early stages of the four eye diseases showed no significant differences (all P > 0.05). For late stage diseases, individuals with VTDR had significantly larger decrements in Emotional well-being compared to glaucoma (β - 0.81; 95% CI - 1.47 to - 0.16) and MMD (β - 1.17; 95% CI - 2.16 to - 0.18); and Reading decrements compared to glaucoma (β - 0.66; 95% CI - 1.22 to - 0.11). When compared to late glaucoma, individuals with late AMD (β - 0.76; 95% CI - 1.50 to - 0.01) had significantly larger IVI Mobility subscale decrements. VTDR and late AMD, appear to have the greatest impact on VRQoL, compared to late glaucoma and MMD, suggesting a differential impact of late-stage eye disease categorization on VRQoL.
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Kassam I, Foo LL, Lanca C, Xu L, Hoang QV, Cheng CY, Hysi P, Saw SM. The potential of current polygenic risk scores to predict high myopia and myopic macular degeneration in multi-ethnic Singapore adults. Ophthalmology 2022; 129:890-902. [DOI: 10.1016/j.ophtha.2022.03.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2021] [Revised: 02/26/2022] [Accepted: 03/23/2022] [Indexed: 10/18/2022] Open
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Botelho DDP, Takahashi DM, Ibrahim LF, Reis LS, Donato MG, Kanadani TCM. Epidemiologia e prevalência da maculopatia miópica em centro de referência em oftalmologia. REVISTA BRASILEIRA DE OFTALMOLOGIA 2022. [DOI: 10.37039/1982.8551.20220014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
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23
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Mao J, Deng X, Ye Y, Liu H, Fang Y, Zhang Z, Chen N, Sun M, Shen L. Morphological characteristics of retinal vessels in eyes with high myopia: Ultra-wide field images analyzed by artificial intelligence using a transfer learning system. Front Med (Lausanne) 2022; 9:956179. [PMID: 36874950 PMCID: PMC9982751 DOI: 10.3389/fmed.2022.956179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Accepted: 12/27/2022] [Indexed: 02/18/2023] Open
Abstract
Purpose The purpose of this study is to investigate the retinal vascular morphological characteristics in high myopia patients of different severity. Methods 317 eyes of high myopia patients and 104 eyes of healthy control subjects were included in this study. The severity of high myopia patients is classified into C0-C4 according to the Meta Analysis of the Pathologic Myopia (META-PM) classification and their vascular morphological characteristics in ultra-wide field imaging were analyzed using transfer learning methods and RU-net. Correlation with axial length (AL), best corrected visual acuity (BCVA) and age was analyzed. In addition, the vascular morphological characteristics of myopic choroidal neovascularization (mCNV) patients and their matched high myopia patients were compared. Results The RU-net and transfer learning system of blood vessel segmentation had an accuracy of 98.24%, a sensitivity of 71.42%, a specificity of 99.37%, a precision of 73.68% and a F1 score of 72.29. Compared with healthy control group, high myopia group had smaller vessel angle (31.12 ± 2.27 vs. 32.33 ± 2.14), smaller fractal dimension (Df) (1.383 ± 0.060 vs. 1.424 ± 0.038), smaller vessel density (2.57 ± 0.96 vs. 3.92 ± 0.93) and fewer vascular branches (201.87 ± 75.92 vs. 271.31 ± 67.37), all P < 0.001. With the increase of myopia maculopathy severity, vessel angle, Df, vessel density and vascular branches significantly decreased (all P < 0.001). There were significant correlations of these characteristics with AL, BCVA and age. Patients with mCNV tended to have larger vessel density (P < 0.001) and more vascular branches (P = 0.045). Conclusion The RU-net and transfer learning technology used in this study has an accuracy of 98.24%, thus has good performance in quantitative analysis of vascular morphological characteristics in Ultra-wide field images. Along with the increase of myopic maculopathy severity and the elongation of eyeball, vessel angle, Df, vessel density and vascular branches decreased. Myopic CNV patients have larger vessel density and more vascular branches.
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Affiliation(s)
- Jianbo Mao
- Department of Ophthalmology, Center for Rehabilitation Medicine, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, Zhejiang, China.,Eye Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Xinyi Deng
- Department of Ophthalmology, Center for Rehabilitation Medicine, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, Zhejiang, China.,Eye Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Yu Ye
- Department of Precision Machinery and Instrumentation, University of Science and Technology of China, Hefei, China
| | - Hui Liu
- Department of Precision Machinery and Instrumentation, University of Science and Technology of China, Hefei, China
| | - Yuyan Fang
- Eye Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Zhengxi Zhang
- Eye Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Nuo Chen
- Eye Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Mingzhai Sun
- Department of Precision Machinery and Instrumentation, University of Science and Technology of China, Hefei, China
| | - Lijun Shen
- Department of Ophthalmology, Center for Rehabilitation Medicine, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, Zhejiang, China.,Eye Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
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Cheng T, Deng J, Xu X, Zhang B, Wang J, Xiong S, Du Y, Yu S, Gong W, Zhao H, Luan M, Fan Y, Zhu J, Zou H, Xu X, He X. Prevalence of fundus tessellation and its associated factors in Chinese children and adolescents with high myopia. Acta Ophthalmol 2021; 99:e1524-e1533. [PMID: 33629538 PMCID: PMC9543541 DOI: 10.1111/aos.14826] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2020] [Accepted: 02/08/2021] [Indexed: 01/08/2023]
Abstract
Purpose To investigate the prevalence and associated factors of fundus tessellation in highly myopic children and adolescents. Methods A total of 513 high myopes (spherical equivalent [SE] ≤ −5.0 D, 4–19 years of age) without any advanced pathological myopic lesions were enrolled. Fundus photographs and choroidal thickness (ChT) data were collected by SS‐OCT. A novel grading approach was adopted to classify fundus tessellation into four categories on colour fundus photography, referring to the location of tessellation divided by an Early Treatment Diabetic Retinopathy Study grid centred on the fovea, through which closer to the fovea represents higher grades of fundus tessellation. Peripapillary atrophy (PPA) area and ovality index were also measured. Results Among the participants, with a mean age of 13.47 ± 3.13 years and mean SE of − 8.34 ± 1.91 D, there were 29 (5.7%), 95 (18.5%), 233 (45.4%) and 156 (30.4%) participants with grade 0 to grade 3 fundus tessellation, respectively. The ChT in both the macular and peripapillary area was negatively correlated with the fundus tessellation grade (R = −0.763 and −0.537, respectively, all p < 0.001). Higher grades of fundus tessellation were independently associated with thinner macular ChT (OR = 1.734, 95% CI: 1.621–1.856, p < 0.001), longer axial length (OR = 1.368, 95% CI: 1.105–1.695, p = 0.004), larger PPA area (OR = 1.391, 95% CI: 1.073–1.802, p = 0.013) and the female sex (OR = 1.605, 95% CI: 1.092–2.359, p = 0.016). Conclusion The fundus tessellation grade could reflect the ChT, representing the severity of myopic maculopathy among young high myopes who rarely had any advanced lesions of pathological myopia. Fundus tessellation grade might be a potential index for assessing early‐stage myopic maculopathy in children and adolescents.
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Affiliation(s)
- Tianyu Cheng
- Shanghai Eye Disease Prevention and Treatment Center Shanghai Eye Hospital Shanghai Children and Adolescent Myopia Prevention and Treatment Technology Center Shanghai China
- Department of Ophthalmology Shanghai General Hospital Shanghai Jiao Tong University School of Medicine National Clinical Research Center for Eye Diseases Shanghai Key Laboratory of Ocular Fundus Diseases Shanghai Engineering Center for Visual Science and Photomedicine Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases Shanghai China
| | - Junjie Deng
- Department of Ophthalmology Shanghai General Hospital Shanghai Jiao Tong University School of Medicine National Clinical Research Center for Eye Diseases Shanghai Key Laboratory of Ocular Fundus Diseases Shanghai Engineering Center for Visual Science and Photomedicine Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases Shanghai China
| | - Xian Xu
- Department of Ophthalmology Shanghai General Hospital Shanghai Jiao Tong University School of Medicine National Clinical Research Center for Eye Diseases Shanghai Key Laboratory of Ocular Fundus Diseases Shanghai Engineering Center for Visual Science and Photomedicine Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases Shanghai China
| | - Bo Zhang
- Shanghai Eye Disease Prevention and Treatment Center Shanghai Eye Hospital Shanghai Children and Adolescent Myopia Prevention and Treatment Technology Center Shanghai China
| | - Jingjing Wang
- Shanghai Eye Disease Prevention and Treatment Center Shanghai Eye Hospital Shanghai Children and Adolescent Myopia Prevention and Treatment Technology Center Shanghai China
| | - Shuyu Xiong
- Department of Ophthalmology Shanghai General Hospital Shanghai Jiao Tong University School of Medicine National Clinical Research Center for Eye Diseases Shanghai Key Laboratory of Ocular Fundus Diseases Shanghai Engineering Center for Visual Science and Photomedicine Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases Shanghai China
| | - Yuchen Du
- Department of Ophthalmology Shanghai General Hospital Shanghai Jiao Tong University School of Medicine National Clinical Research Center for Eye Diseases Shanghai Key Laboratory of Ocular Fundus Diseases Shanghai Engineering Center for Visual Science and Photomedicine Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases Shanghai China
| | - Suqin Yu
- Department of Ophthalmology Shanghai General Hospital Shanghai Jiao Tong University School of Medicine National Clinical Research Center for Eye Diseases Shanghai Key Laboratory of Ocular Fundus Diseases Shanghai Engineering Center for Visual Science and Photomedicine Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases Shanghai China
| | - Wei Gong
- Department of Ophthalmology Shanghai General Hospital Shanghai Jiao Tong University School of Medicine National Clinical Research Center for Eye Diseases Shanghai Key Laboratory of Ocular Fundus Diseases Shanghai Engineering Center for Visual Science and Photomedicine Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases Shanghai China
| | - Huijuan Zhao
- Shanghai Eye Disease Prevention and Treatment Center Shanghai Eye Hospital Shanghai Children and Adolescent Myopia Prevention and Treatment Technology Center Shanghai China
| | - Mengli Luan
- Shanghai Eye Disease Prevention and Treatment Center Shanghai Eye Hospital Shanghai Children and Adolescent Myopia Prevention and Treatment Technology Center Shanghai China
| | - Ying Fan
- Department of Ophthalmology Shanghai General Hospital Shanghai Jiao Tong University School of Medicine National Clinical Research Center for Eye Diseases Shanghai Key Laboratory of Ocular Fundus Diseases Shanghai Engineering Center for Visual Science and Photomedicine Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases Shanghai China
| | - Jianfeng Zhu
- Shanghai Eye Disease Prevention and Treatment Center Shanghai Eye Hospital Shanghai Children and Adolescent Myopia Prevention and Treatment Technology Center Shanghai China
| | - Haidong Zou
- Shanghai Eye Disease Prevention and Treatment Center Shanghai Eye Hospital Shanghai Children and Adolescent Myopia Prevention and Treatment Technology Center Shanghai China
- Department of Ophthalmology Shanghai General Hospital Shanghai Jiao Tong University School of Medicine National Clinical Research Center for Eye Diseases Shanghai Key Laboratory of Ocular Fundus Diseases Shanghai Engineering Center for Visual Science and Photomedicine Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases Shanghai China
| | - Xun Xu
- Shanghai Eye Disease Prevention and Treatment Center Shanghai Eye Hospital Shanghai Children and Adolescent Myopia Prevention and Treatment Technology Center Shanghai China
- Department of Ophthalmology Shanghai General Hospital Shanghai Jiao Tong University School of Medicine National Clinical Research Center for Eye Diseases Shanghai Key Laboratory of Ocular Fundus Diseases Shanghai Engineering Center for Visual Science and Photomedicine Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases Shanghai China
| | - Xiangui He
- Shanghai Eye Disease Prevention and Treatment Center Shanghai Eye Hospital Shanghai Children and Adolescent Myopia Prevention and Treatment Technology Center Shanghai China
- Department of Ophthalmology Shanghai General Hospital Shanghai Jiao Tong University School of Medicine National Clinical Research Center for Eye Diseases Shanghai Key Laboratory of Ocular Fundus Diseases Shanghai Engineering Center for Visual Science and Photomedicine Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases Shanghai China
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Five-Year cumulative Incidence and Progression of Myopic Maculopathy in a German population – results from the Gutenberg Health Study. Ophthalmology 2021; 129:562-570. [DOI: 10.1016/j.ophtha.2021.12.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 12/19/2021] [Accepted: 12/21/2021] [Indexed: 11/17/2022] Open
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Target Maintenance in Gaming via Saliency Augmentation: An Early-Stage Scotoma Simulation Study Using Virtual Reality (VR). APPLIED SCIENCES-BASEL 2021. [DOI: 10.3390/app11157164] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
This study addresses the importance of salience placement before or after scotoma development for an efficient target allocation in the visual field. Pre-allocation of attention is a mechanism known to induce a better gaze positioning towards the target. Three different conditions were tested: a simulated central scotoma, a salience augmentation surrounding the scotoma and a baseline condition without any simulation. All conditions were investigated within a virtual reality VR gaming environment. Participants were tested in two different orders, either the salient cue was applied together with the scotoma before being presented with the scotoma alone or the scotoma in the wild was presented before and, then, with the augmentation around it. Both groups showed a change in gaze behaviour when saliency was applied. However, in the second group, salient augmentation also induced changes in gaze behaviour for the scotoma condition without augmentation, gazing above and outside the scotoma following previous literature. These preliminary results indicate salience placement before developing an advanced stage of scotoma can induce effective and rapid training for efficient target maintenance during VR gaming. The study shows the potential of salience and VR gaming as therapy for early AMD patients.
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Sankaridurg P, Tahhan N, Kandel H, Naduvilath T, Zou H, Frick KD, Marmamula S, Friedman DS, Lamoureux E, Keeffe J, Walline JJ, Fricke TR, Kovai V, Resnikoff S. IMI Impact of Myopia. Invest Ophthalmol Vis Sci 2021; 62:2. [PMID: 33909036 PMCID: PMC8083082 DOI: 10.1167/iovs.62.5.2] [Citation(s) in RCA: 190] [Impact Index Per Article: 47.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Accepted: 12/26/2020] [Indexed: 01/15/2023] Open
Abstract
The global burden of myopia is growing. Myopia affected nearly 30% of the world population in 2020 and this number is expected to rise to 50% by 2050. This review aims to analyze the impact of myopia on individuals and society; summarizing the evidence for recent research on the prevalence of myopia and high myopia, lifetime pathological manifestations of myopia, direct health expenditure, and indirect costs such as lost productivity and reduced quality of life (QOL). The principal trends are a rising prevalence of myopia and high myopia, with a disproportionately greater increase in the prevalence of high myopia. This forecasts a future increase in vision loss due to uncorrected myopia as well as high myopia-related complications such as myopic macular degeneration. QOL is affected for those with uncorrected myopia, high myopia, or complications of high myopia. Overall the current global cost estimates related to direct health expenditure and lost productivity are in the billions. Health expenditure is greater in adults, reflecting the added costs due to myopia-related complications. Unless the current trajectory for the rising prevalence of myopia and high myopia change, the costs will continue to grow. The past few decades have seen the emergence of several novel approaches to prevent and slow myopia. Further work is needed to understand the life-long impact of myopia on an individual and the cost-effectiveness of the various novel approaches in reducing the burden.
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Affiliation(s)
- Padmaja Sankaridurg
- Brien Holden Vision Institute, Sydney, Australia
- School of Optometry and Vision Science, University of New South Wales, New South Wales, Australia
| | - Nina Tahhan
- Brien Holden Vision Institute, Sydney, Australia
- School of Optometry and Vision Science, University of New South Wales, New South Wales, Australia
| | - Himal Kandel
- Save Sight Institute, Sydney Medical School, The University of Sydney, New South Wales, Australia
| | - Thomas Naduvilath
- Brien Holden Vision Institute, Sydney, Australia
- School of Optometry and Vision Science, University of New South Wales, New South Wales, Australia
| | - Haidong Zou
- Shanghai Eye Disease Prevention and Treatment Center, Shanghai, China
| | - Kevin D. Frick
- Johns Hopkins Carey Business School, Baltimore, Maryland, United States
| | - Srinivas Marmamula
- Gullapalli Pratibha Rao International Centre for Advancement of Rural Eye care, L V Prasad Eye Institute, Hyderabad, India
| | - David S. Friedman
- Glaucoma Center of Excellence, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts, United States
| | - Ecosse Lamoureux
- Duke - NUS Medical School, Singapore; Singapore Eye Research Institute, Singapore
| | - Jill Keeffe
- Gullapalli Pratibha Rao International Centre for Advancement of Rural Eye care, L V Prasad Eye Institute, Hyderabad, India
| | - Jeffrey J. Walline
- The Ohio State University College of Optometry, Columbus, Ohio, United States
| | | | - Vilas Kovai
- Health Promotion Service, Population Health, Liverpool Hospital, SWSLHD, Health - New South Wales, New South Wales, Australia
| | - Serge Resnikoff
- Brien Holden Vision Institute, Sydney, Australia
- School of Optometry and Vision Science, University of New South Wales, New South Wales, Australia
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