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Factors predicting regression of visual acuity following successful treatment of anisometropic amblyopia

OBJECTIVE: To identify factors associated with visual acuity regression following successful treatment of anisometropic amblyopia. DESIGN AND METHOD: This was a retrospective cohort study. Database records for 100 and 61 children with anisometropic amblyopia who met at least one criterion for succes...

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Autores principales: Jia, Yu, Liu, Jing, Ye, Qingqing, Zhang, Shenglan, Feng, Lei, Xu, Zixuan, Zhuang, Yijing, He, Yunsi, Zhou, Yusong, Chen, Xiaolan, Yao, Ying, Jiang, Rengang, Thompson, Benjamin, Li, Jinrong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9659723/
https://www.ncbi.nlm.nih.gov/pubmed/36388932
http://dx.doi.org/10.3389/fmed.2022.1013136
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author Jia, Yu
Liu, Jing
Ye, Qingqing
Zhang, Shenglan
Feng, Lei
Xu, Zixuan
Zhuang, Yijing
He, Yunsi
Zhou, Yusong
Chen, Xiaolan
Yao, Ying
Jiang, Rengang
Thompson, Benjamin
Li, Jinrong
author_facet Jia, Yu
Liu, Jing
Ye, Qingqing
Zhang, Shenglan
Feng, Lei
Xu, Zixuan
Zhuang, Yijing
He, Yunsi
Zhou, Yusong
Chen, Xiaolan
Yao, Ying
Jiang, Rengang
Thompson, Benjamin
Li, Jinrong
author_sort Jia, Yu
collection PubMed
description OBJECTIVE: To identify factors associated with visual acuity regression following successful treatment of anisometropic amblyopia. DESIGN AND METHOD: This was a retrospective cohort study. Database records for 100 and 61 children with anisometropic amblyopia who met at least one criterion for successful treatment proposed by the Pediatric Eye Disease Investigator Group (PEDIG) and had at least 1 year of follow-up data available after the criterion was met were analyzed. The study sample was split into two groups, those who regressed within 1 year of successful treatment (no longer met any of the PEDIG criteria for successful treatment) and those who did not. A two-step analysis involving a least absolute shrinkage and selection operator (LASSO) regression and a logistic regression were used to identify predictor variables for increased risk of regression. A broad range of clinical, perceptual, and demographic variables were included in the analyses. RESULTS: Sixty-eight (42.5%) children regressed within 1 year of successful treatment. Among the 27 predictor variables considered within the statistical modeling process, the three most important for predicting treatment regression were the extent of amblyopic eye visual acuity improvement, age at first hospital visit and sex. Specifically, lower risk of regression was associated with larger amblyopic eye visual acuity improvement with treatment, younger age at initiation of treatment and female sex. CONCLUSION: Patients who received treatment at a younger age and responded well to treatment had a lower risk of treatment regression. This pattern of results suggests that early detection of amblyopia and strategies that enhance treatment adherence may reduce the risk of treatment regression. The higher risk of regression in boys than girls that we observed may reflect known sex differences in brain development and /or sex differences in environment within our sample of children from South China.
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spelling pubmed-96597232022-11-15 Factors predicting regression of visual acuity following successful treatment of anisometropic amblyopia Jia, Yu Liu, Jing Ye, Qingqing Zhang, Shenglan Feng, Lei Xu, Zixuan Zhuang, Yijing He, Yunsi Zhou, Yusong Chen, Xiaolan Yao, Ying Jiang, Rengang Thompson, Benjamin Li, Jinrong Front Med (Lausanne) Medicine OBJECTIVE: To identify factors associated with visual acuity regression following successful treatment of anisometropic amblyopia. DESIGN AND METHOD: This was a retrospective cohort study. Database records for 100 and 61 children with anisometropic amblyopia who met at least one criterion for successful treatment proposed by the Pediatric Eye Disease Investigator Group (PEDIG) and had at least 1 year of follow-up data available after the criterion was met were analyzed. The study sample was split into two groups, those who regressed within 1 year of successful treatment (no longer met any of the PEDIG criteria for successful treatment) and those who did not. A two-step analysis involving a least absolute shrinkage and selection operator (LASSO) regression and a logistic regression were used to identify predictor variables for increased risk of regression. A broad range of clinical, perceptual, and demographic variables were included in the analyses. RESULTS: Sixty-eight (42.5%) children regressed within 1 year of successful treatment. Among the 27 predictor variables considered within the statistical modeling process, the three most important for predicting treatment regression were the extent of amblyopic eye visual acuity improvement, age at first hospital visit and sex. Specifically, lower risk of regression was associated with larger amblyopic eye visual acuity improvement with treatment, younger age at initiation of treatment and female sex. CONCLUSION: Patients who received treatment at a younger age and responded well to treatment had a lower risk of treatment regression. This pattern of results suggests that early detection of amblyopia and strategies that enhance treatment adherence may reduce the risk of treatment regression. The higher risk of regression in boys than girls that we observed may reflect known sex differences in brain development and /or sex differences in environment within our sample of children from South China. Frontiers Media S.A. 2022-10-31 /pmc/articles/PMC9659723/ /pubmed/36388932 http://dx.doi.org/10.3389/fmed.2022.1013136 Text en Copyright © 2022 Jia, Liu, Ye, Zhang, Feng, Xu, Zhuang, He, Zhou, Chen, Yao, Jiang, Thompson and Li. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Medicine
Jia, Yu
Liu, Jing
Ye, Qingqing
Zhang, Shenglan
Feng, Lei
Xu, Zixuan
Zhuang, Yijing
He, Yunsi
Zhou, Yusong
Chen, Xiaolan
Yao, Ying
Jiang, Rengang
Thompson, Benjamin
Li, Jinrong
Factors predicting regression of visual acuity following successful treatment of anisometropic amblyopia
title Factors predicting regression of visual acuity following successful treatment of anisometropic amblyopia
title_full Factors predicting regression of visual acuity following successful treatment of anisometropic amblyopia
title_fullStr Factors predicting regression of visual acuity following successful treatment of anisometropic amblyopia
title_full_unstemmed Factors predicting regression of visual acuity following successful treatment of anisometropic amblyopia
title_short Factors predicting regression of visual acuity following successful treatment of anisometropic amblyopia
title_sort factors predicting regression of visual acuity following successful treatment of anisometropic amblyopia
topic Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9659723/
https://www.ncbi.nlm.nih.gov/pubmed/36388932
http://dx.doi.org/10.3389/fmed.2022.1013136
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