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谁需要控制近视?

Who needs myopia control?

作者信息

Chen Yan-Xian, Liao Chi-Mei, Tan Zachary, He Ming-Guang

机构信息

State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510000, Guangdong Province, China.

Department of Ophthalmology, Peking University Shenzhen Hospital, Shenzhen Peking University-The Hong Kong University of Science and Technology Medical Center, Shenzhen 518000, Guangdong Province, China.

出版信息

Int J Ophthalmol. 2021 Sep 18;14(9):1297-1301. doi: 10.18240/ijo.2021.09.01. eCollection 2021.

Abstract

Myopia has become a major visual disorder among school-aged children in East Asia due to its rising prevalence over the past few decades and will continue to be a leading health issue with an annual incidence as high as 20%-30%. Although various interventions have been proposed for myopia control, consensus in treatment strategies has yet to be fully developed. Atropine and orthokeratology stand out for their effectiveness in myopia progression control, but children with rapid progression of myopia require treatment with higher concentrations of atropine that are associated with increased rates of side effects, or with orthokeratology that carries risk of significant complication. Therefore, improved risk assessment for myopia onset and progression in children is critical in clinical decision-making. Besides traditional prediction models based on genetic effects and environmental exposures within populations, individualized prediction using machine learning and data based on age-specific refraction is promising. Although emerging treatments for myopia are promising and some have been incorporated into clinical practice, identifying populations who require and benefit from intervention remains the most important initial step for clinical practice.

摘要

由于近几十年来近视患病率不断上升,近视已成为东亚学龄儿童的主要视力障碍,并且仍将是一个主要的健康问题,年发病率高达20%-30%。尽管已经提出了各种近视控制干预措施,但治疗策略仍未完全达成共识。阿托品和角膜塑形术因其在控制近视进展方面的有效性而脱颖而出,但近视进展迅速的儿童需要使用更高浓度的阿托品进行治疗,而这会增加副作用发生率,或者使用存在严重并发症风险的角膜塑形术。因此,改进对儿童近视发病和进展的风险评估对于临床决策至关重要。除了基于人群遗传效应和环境暴露的传统预测模型外,利用机器学习和基于特定年龄屈光数据的个性化预测也很有前景。尽管新兴的近视治疗方法很有前景,有些已纳入临床实践,但确定需要干预并能从中受益的人群仍然是临床实践中最重要的第一步。

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本文引用的文献

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IMI - Clinical Management Guidelines Report.IMI - 临床管理指南报告。
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