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Prediction for Cycloplegic Refractive Error in Chinese School Students: Model Development and Validation

PURPOSE: To predict cycloplegic refractive error using measurements obtained under noncycloplegic conditions. METHOD: Refractive error was measured in 5- to 18-year-old Chinese students using a NIDEK autorefractor before and after administration of 0.5% tropicamide. Spherical equivalent (SER) in dio...

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Autores principales: Wang, Jianyong, Wang, Xinyi, Gao, Hans M., Zhang, Huiyan, Yang, Ying, Gu, Fang, Zheng, Xin, Gu, Lei, Huang, Jianyao, Meng, Jia, Li, Juanjuan, Gao, Lei, Zhang, Ronghua, Shen, Jianqin, Ying, Gui-Shuang, Cui, Hongguang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8762687/
https://www.ncbi.nlm.nih.gov/pubmed/35019963
http://dx.doi.org/10.1167/tvst.11.1.15
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author Wang, Jianyong
Wang, Xinyi
Gao, Hans M.
Zhang, Huiyan
Yang, Ying
Gu, Fang
Zheng, Xin
Gu, Lei
Huang, Jianyao
Meng, Jia
Li, Juanjuan
Gao, Lei
Zhang, Ronghua
Shen, Jianqin
Ying, Gui-Shuang
Cui, Hongguang
author_facet Wang, Jianyong
Wang, Xinyi
Gao, Hans M.
Zhang, Huiyan
Yang, Ying
Gu, Fang
Zheng, Xin
Gu, Lei
Huang, Jianyao
Meng, Jia
Li, Juanjuan
Gao, Lei
Zhang, Ronghua
Shen, Jianqin
Ying, Gui-Shuang
Cui, Hongguang
author_sort Wang, Jianyong
collection PubMed
description PURPOSE: To predict cycloplegic refractive error using measurements obtained under noncycloplegic conditions. METHOD: Refractive error was measured in 5- to 18-year-old Chinese students using a NIDEK autorefractor before and after administration of 0.5% tropicamide. Spherical equivalent (SER) in diopters (D) was calculated as sphere plus half cylinder. A multivariable prediction model for cycloplegic SER was developed using data from students in Jinyun (n = 1938) and was validated using data from students in Hangzhou (n = 1498). The performance of the prediction model was evaluated using R(2), mean difference between predicted and measured cycloplegic SER, and sensitivity and specificity for predicting myopia (cycloplegic SER ≤ −0.5 D). RESULTS: Among 3436 students (mean age, 9.7 years; 51% female), the mean (SD) noncycloplegic and cycloplegic SER values were −1.12 (1.97) D and −0.20 (2.19) D, respectively. The prediction model that included demographics, noncycloplegic SER, axial length/corneal curvature radius ratio, uncorrected visual acuity (UCVA), and intraocular pressure predicted cycloplegic SER with R(2) of 0.93 in the development dataset and 0.92 in the validation dataset. The mean (SD) differences between predicted and measured cycloplegic SER were 0.0 (0.55) D in the development dataset and 0.06 (0.64) D in the validation dataset. In both the development and validation datasets, the combination of predicted SER and UCVA yielded high sensitivity (91.4% and 91.9%, respectively) and specificity (95.0% and 90.1%, respectively) for detecting myopia. CONCLUSIONS: Cycloplegic refractive error can be predicted using measurements obtained under noncycloplegic conditions. The prediction model could potentially be used to correct the myopia prevalence in epidemiological studies in which administering cycloplegic agent on all participants is not feasible. TRANSLATIONAL RELEVANCE: The prediction model may provide a tool for correcting the overestimation of myopia from noncycloplegic refractive error in future epidemiological studies in which administering cycloplegic agent on all participants is not feasible.
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spelling pubmed-87626872022-01-26 Prediction for Cycloplegic Refractive Error in Chinese School Students: Model Development and Validation Wang, Jianyong Wang, Xinyi Gao, Hans M. Zhang, Huiyan Yang, Ying Gu, Fang Zheng, Xin Gu, Lei Huang, Jianyao Meng, Jia Li, Juanjuan Gao, Lei Zhang, Ronghua Shen, Jianqin Ying, Gui-Shuang Cui, Hongguang Transl Vis Sci Technol Article PURPOSE: To predict cycloplegic refractive error using measurements obtained under noncycloplegic conditions. METHOD: Refractive error was measured in 5- to 18-year-old Chinese students using a NIDEK autorefractor before and after administration of 0.5% tropicamide. Spherical equivalent (SER) in diopters (D) was calculated as sphere plus half cylinder. A multivariable prediction model for cycloplegic SER was developed using data from students in Jinyun (n = 1938) and was validated using data from students in Hangzhou (n = 1498). The performance of the prediction model was evaluated using R(2), mean difference between predicted and measured cycloplegic SER, and sensitivity and specificity for predicting myopia (cycloplegic SER ≤ −0.5 D). RESULTS: Among 3436 students (mean age, 9.7 years; 51% female), the mean (SD) noncycloplegic and cycloplegic SER values were −1.12 (1.97) D and −0.20 (2.19) D, respectively. The prediction model that included demographics, noncycloplegic SER, axial length/corneal curvature radius ratio, uncorrected visual acuity (UCVA), and intraocular pressure predicted cycloplegic SER with R(2) of 0.93 in the development dataset and 0.92 in the validation dataset. The mean (SD) differences between predicted and measured cycloplegic SER were 0.0 (0.55) D in the development dataset and 0.06 (0.64) D in the validation dataset. In both the development and validation datasets, the combination of predicted SER and UCVA yielded high sensitivity (91.4% and 91.9%, respectively) and specificity (95.0% and 90.1%, respectively) for detecting myopia. CONCLUSIONS: Cycloplegic refractive error can be predicted using measurements obtained under noncycloplegic conditions. The prediction model could potentially be used to correct the myopia prevalence in epidemiological studies in which administering cycloplegic agent on all participants is not feasible. TRANSLATIONAL RELEVANCE: The prediction model may provide a tool for correcting the overestimation of myopia from noncycloplegic refractive error in future epidemiological studies in which administering cycloplegic agent on all participants is not feasible. The Association for Research in Vision and Ophthalmology 2022-01-12 /pmc/articles/PMC8762687/ /pubmed/35019963 http://dx.doi.org/10.1167/tvst.11.1.15 Text en Copyright 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
spellingShingle Article
Wang, Jianyong
Wang, Xinyi
Gao, Hans M.
Zhang, Huiyan
Yang, Ying
Gu, Fang
Zheng, Xin
Gu, Lei
Huang, Jianyao
Meng, Jia
Li, Juanjuan
Gao, Lei
Zhang, Ronghua
Shen, Jianqin
Ying, Gui-Shuang
Cui, Hongguang
Prediction for Cycloplegic Refractive Error in Chinese School Students: Model Development and Validation
title Prediction for Cycloplegic Refractive Error in Chinese School Students: Model Development and Validation
title_full Prediction for Cycloplegic Refractive Error in Chinese School Students: Model Development and Validation
title_fullStr Prediction for Cycloplegic Refractive Error in Chinese School Students: Model Development and Validation
title_full_unstemmed Prediction for Cycloplegic Refractive Error in Chinese School Students: Model Development and Validation
title_short Prediction for Cycloplegic Refractive Error in Chinese School Students: Model Development and Validation
title_sort prediction for cycloplegic refractive error in chinese school students: model development and validation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8762687/
https://www.ncbi.nlm.nih.gov/pubmed/35019963
http://dx.doi.org/10.1167/tvst.11.1.15
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