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Prediction of premyopia and myopia in Chinese preschool children: a longitudinal cohort
BACKGROUNDS: Myopia has become a global public health problem. Children with early onset of myopia are at particular risk of complications associated with myopia. Younger children and children with greater initial myopic refractive errors are at a greater risk of myopia progression. Therefore, it is...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8296532/ https://www.ncbi.nlm.nih.gov/pubmed/34289821 http://dx.doi.org/10.1186/s12886-021-02045-8 |
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author | Liu, Lei Li, Rui Huang, Dan Lin, Xiao Zhu, Hui Wang, Yue Zhao, Xiaoyan Zhang, Xiaohan Liu, Hu |
author_facet | Liu, Lei Li, Rui Huang, Dan Lin, Xiao Zhu, Hui Wang, Yue Zhao, Xiaoyan Zhang, Xiaohan Liu, Hu |
author_sort | Liu, Lei |
collection | PubMed |
description | BACKGROUNDS: Myopia has become a global public health problem. Children with early onset of myopia are at particular risk of complications associated with myopia. Younger children and children with greater initial myopic refractive errors are at a greater risk of myopia progression. Therefore, it is essential to identify subjects at high risk of developing myopia to facilitate myopia prevention in the early stage, especially during the preschool period. The purpose of this study was to determine whether premyopia and myopia in preschool children can be predicted by easily obtainable parameters. METHODS: Data was collected in a population-based cohort. Comprehensive examinations included height, weight, refraction, axial length (AL), and corneal radius of curvature (CR), with a follow-up of 2 years. Parental myopia history was obtained from a questionnaire. Myopia was defined as spherical equivalent (SE) ≤ − 0.50 D. Premyopia was defined as − 0.50 D < SE ≤ + 0.75 D. Multivariate linear regression models were fitted to determine the associations between these parameters at baseline and future SE. To predict premyopia and myopia, Cox proportional hazard regression analysis coupled with a nomogram was used. RESULTS: A total of 830 children (433 boys and 397 girls) were included (40.83 ± 3.43 months old at baseline). A significantly negative relationship was observed in the multivariate analysis between baseline AL, AL/CR, two myopic parents, and the future SE after adjusting for age and gender (coefficient = − 0.291, coefficient = − 5.791, coefficient = − 0.273, respectively, both p < 0.001). Higher baseline AL, AL/CR (hazard ratio (HR) = 4.916, HR = 2.979, respectively, comparing the top quartile with the bottom quartile, both p < 0.001) and two myopic parents (HR = 1.756, compared to no myopic parents, p = 0.001) were associated with a higher risk of future onset of premyopia. From the nomogram, AL/CR was found to have the most enormous effect on survival. Different baseline AL and AL/CR values (both Log Rank p < 0.001) had different survival curves. CONCLUSIONS: AL and AL/CR could be used as obtainable indicators for identifying subjects at high risk of developing premyopia and myopia in young preschool children. |
format | Online Article Text |
id | pubmed-8296532 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-82965322021-07-22 Prediction of premyopia and myopia in Chinese preschool children: a longitudinal cohort Liu, Lei Li, Rui Huang, Dan Lin, Xiao Zhu, Hui Wang, Yue Zhao, Xiaoyan Zhang, Xiaohan Liu, Hu BMC Ophthalmol Research Article BACKGROUNDS: Myopia has become a global public health problem. Children with early onset of myopia are at particular risk of complications associated with myopia. Younger children and children with greater initial myopic refractive errors are at a greater risk of myopia progression. Therefore, it is essential to identify subjects at high risk of developing myopia to facilitate myopia prevention in the early stage, especially during the preschool period. The purpose of this study was to determine whether premyopia and myopia in preschool children can be predicted by easily obtainable parameters. METHODS: Data was collected in a population-based cohort. Comprehensive examinations included height, weight, refraction, axial length (AL), and corneal radius of curvature (CR), with a follow-up of 2 years. Parental myopia history was obtained from a questionnaire. Myopia was defined as spherical equivalent (SE) ≤ − 0.50 D. Premyopia was defined as − 0.50 D < SE ≤ + 0.75 D. Multivariate linear regression models were fitted to determine the associations between these parameters at baseline and future SE. To predict premyopia and myopia, Cox proportional hazard regression analysis coupled with a nomogram was used. RESULTS: A total of 830 children (433 boys and 397 girls) were included (40.83 ± 3.43 months old at baseline). A significantly negative relationship was observed in the multivariate analysis between baseline AL, AL/CR, two myopic parents, and the future SE after adjusting for age and gender (coefficient = − 0.291, coefficient = − 5.791, coefficient = − 0.273, respectively, both p < 0.001). Higher baseline AL, AL/CR (hazard ratio (HR) = 4.916, HR = 2.979, respectively, comparing the top quartile with the bottom quartile, both p < 0.001) and two myopic parents (HR = 1.756, compared to no myopic parents, p = 0.001) were associated with a higher risk of future onset of premyopia. From the nomogram, AL/CR was found to have the most enormous effect on survival. Different baseline AL and AL/CR values (both Log Rank p < 0.001) had different survival curves. CONCLUSIONS: AL and AL/CR could be used as obtainable indicators for identifying subjects at high risk of developing premyopia and myopia in young preschool children. BioMed Central 2021-07-21 /pmc/articles/PMC8296532/ /pubmed/34289821 http://dx.doi.org/10.1186/s12886-021-02045-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Liu, Lei Li, Rui Huang, Dan Lin, Xiao Zhu, Hui Wang, Yue Zhao, Xiaoyan Zhang, Xiaohan Liu, Hu Prediction of premyopia and myopia in Chinese preschool children: a longitudinal cohort |
title | Prediction of premyopia and myopia in Chinese preschool children: a longitudinal cohort |
title_full | Prediction of premyopia and myopia in Chinese preschool children: a longitudinal cohort |
title_fullStr | Prediction of premyopia and myopia in Chinese preschool children: a longitudinal cohort |
title_full_unstemmed | Prediction of premyopia and myopia in Chinese preschool children: a longitudinal cohort |
title_short | Prediction of premyopia and myopia in Chinese preschool children: a longitudinal cohort |
title_sort | prediction of premyopia and myopia in chinese preschool children: a longitudinal cohort |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8296532/ https://www.ncbi.nlm.nih.gov/pubmed/34289821 http://dx.doi.org/10.1186/s12886-021-02045-8 |
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