Comparison of noncycloplegic and cycloplegic autorefraction in categorizing refractive error data in children

Purpose To systematically analyse the differences between cycloplegic and noncycloplegic refractive errors (RE) in children and to determine if the predictive value of noncycloplegic RE in categorizing RE can be improved. Methods Random cluster sampling was used to select 6825 children aged 4–15 yea...

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Veröffentlicht in:Acta ophthalmologica (Oxford, England) Jg. 95; H. 7; S. e633 - e640
Hauptverfasser: Sankaridurg, Padmaja, He, Xiangui, Naduvilath, Thomas, Lv, Minzhi, Ho, Arthur, Smith, Earl, Erickson, Paul, Zhu, Jianfeng, Zou, Haidong, Xu, Xun
Format: Journal Article
Sprache:Englisch
Veröffentlicht: England Wiley Subscription Services, Inc 01.11.2017
John Wiley and Sons Inc
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ISSN:1755-375X, 1755-3768, 1755-3768
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Abstract Purpose To systematically analyse the differences between cycloplegic and noncycloplegic refractive errors (RE) in children and to determine if the predictive value of noncycloplegic RE in categorizing RE can be improved. Methods Random cluster sampling was used to select 6825 children aged 4–15 years. Autorefraction was performed under both noncycloplegic and cycloplegic (induced with 1% cyclopentolate drops) conditions. Paired differences between noncycloplegic and cycloplegic spherical equivalent (SE) RE were determined. A general linear model was developed to determine whether cycloplegic SE can be predicted using noncycloplegic SE, age and uncorrected visual acuity (UCVA). Results Compared to cycloplegia, noncycloplegia resulted in a more myopic SE (paired difference: −0.63 ± 0.65D, 95% CI: −0.612 to −0.65D, 6017 eligible right eyes) with greater differences observed in younger participants and in eyes with more hyperopic RE and smaller AL. Using raw noncycloplegic data resulted in only 61% of the eyes being correctly classified as myopic, emmetropic or hyperopic. Using age and uncorrected VA in the model, the association improved and 77% of the eyes were classified correctly. However, predicted cycloplegic SE continued to show large residual errors for low myopic to hyperopic RE. Applying the model to only those eyes with uncorrected VA <6/6 resulted in an improvement (R2 = 0. 93), with 80% of the eyes correctly classified. A higher VA cut‐off (i.e., ≤6/18) resulted in 97.5% of eyes classified correctly. Conclusion Noncycloplegic assessment of RE in children overestimates myopia and results in a high error rate for emmetropic and hyperopic RE. Adjusting for age and applying uncorrected VA cut‐offs to noncycloplegic assessments improves detection of myopic RE and may help in identifying myopic RE in situations where cycloplegia is not available but does not help in identifying the magnitude of refractive error and therefore is of limited value.
AbstractList To systematically analyse the differences between cycloplegic and noncycloplegic refractive errors (RE) in children and to determine if the predictive value of noncycloplegic RE in categorizing RE can be improved.PURPOSETo systematically analyse the differences between cycloplegic and noncycloplegic refractive errors (RE) in children and to determine if the predictive value of noncycloplegic RE in categorizing RE can be improved.Random cluster sampling was used to select 6825 children aged 4-15 years. Autorefraction was performed under both noncycloplegic and cycloplegic (induced with 1% cyclopentolate drops) conditions. Paired differences between noncycloplegic and cycloplegic spherical equivalent (SE) RE were determined. A general linear model was developed to determine whether cycloplegic SE can be predicted using noncycloplegic SE, age and uncorrected visual acuity (UCVA).METHODSRandom cluster sampling was used to select 6825 children aged 4-15 years. Autorefraction was performed under both noncycloplegic and cycloplegic (induced with 1% cyclopentolate drops) conditions. Paired differences between noncycloplegic and cycloplegic spherical equivalent (SE) RE were determined. A general linear model was developed to determine whether cycloplegic SE can be predicted using noncycloplegic SE, age and uncorrected visual acuity (UCVA).Compared to cycloplegia, noncycloplegia resulted in a more myopic SE (paired difference: -0.63 ± 0.65D, 95% CI: -0.612 to -0.65D, 6017 eligible right eyes) with greater differences observed in younger participants and in eyes with more hyperopic RE and smaller AL. Using raw noncycloplegic data resulted in only 61% of the eyes being correctly classified as myopic, emmetropic or hyperopic. Using age and uncorrected VA in the model, the association improved and 77% of the eyes were classified correctly. However, predicted cycloplegic SE continued to show large residual errors for low myopic to hyperopic RE. Applying the model to only those eyes with uncorrected VA <6/6 resulted in an improvement (R2 = 0. 93), with 80% of the eyes correctly classified. A higher VA cut-off (i.e., ≤6/18) resulted in 97.5% of eyes classified correctly.RESULTSCompared to cycloplegia, noncycloplegia resulted in a more myopic SE (paired difference: -0.63 ± 0.65D, 95% CI: -0.612 to -0.65D, 6017 eligible right eyes) with greater differences observed in younger participants and in eyes with more hyperopic RE and smaller AL. Using raw noncycloplegic data resulted in only 61% of the eyes being correctly classified as myopic, emmetropic or hyperopic. Using age and uncorrected VA in the model, the association improved and 77% of the eyes were classified correctly. However, predicted cycloplegic SE continued to show large residual errors for low myopic to hyperopic RE. Applying the model to only those eyes with uncorrected VA <6/6 resulted in an improvement (R2 = 0. 93), with 80% of the eyes correctly classified. A higher VA cut-off (i.e., ≤6/18) resulted in 97.5% of eyes classified correctly.Noncycloplegic assessment of RE in children overestimates myopia and results in a high error rate for emmetropic and hyperopic RE. Adjusting for age and applying uncorrected VA cut-offs to noncycloplegic assessments improves detection of myopic RE and may help in identifying myopic RE in situations where cycloplegia is not available but does not help in identifying the magnitude of refractive error and therefore is of limited value.CONCLUSIONNoncycloplegic assessment of RE in children overestimates myopia and results in a high error rate for emmetropic and hyperopic RE. Adjusting for age and applying uncorrected VA cut-offs to noncycloplegic assessments improves detection of myopic RE and may help in identifying myopic RE in situations where cycloplegia is not available but does not help in identifying the magnitude of refractive error and therefore is of limited value.
Purpose To systematically analyse the differences between cycloplegic and noncycloplegic refractive errors (RE) in children and to determine if the predictive value of noncycloplegic RE in categorizing RE can be improved. Methods Random cluster sampling was used to select 6825 children aged 4–15 years. Autorefraction was performed under both noncycloplegic and cycloplegic (induced with 1% cyclopentolate drops) conditions. Paired differences between noncycloplegic and cycloplegic spherical equivalent (SE) RE were determined. A general linear model was developed to determine whether cycloplegic SE can be predicted using noncycloplegic SE, age and uncorrected visual acuity (UCVA). Results Compared to cycloplegia, noncycloplegia resulted in a more myopic SE (paired difference: −0.63 ± 0.65D, 95% CI: −0.612 to −0.65D, 6017 eligible right eyes) with greater differences observed in younger participants and in eyes with more hyperopic RE and smaller AL. Using raw noncycloplegic data resulted in only 61% of the eyes being correctly classified as myopic, emmetropic or hyperopic. Using age and uncorrected VA in the model, the association improved and 77% of the eyes were classified correctly. However, predicted cycloplegic SE continued to show large residual errors for low myopic to hyperopic RE. Applying the model to only those eyes with uncorrected VA <6/6 resulted in an improvement (R2 = 0. 93), with 80% of the eyes correctly classified. A higher VA cut‐off (i.e., ≤6/18) resulted in 97.5% of eyes classified correctly. Conclusion Noncycloplegic assessment of RE in children overestimates myopia and results in a high error rate for emmetropic and hyperopic RE. Adjusting for age and applying uncorrected VA cut‐offs to noncycloplegic assessments improves detection of myopic RE and may help in identifying myopic RE in situations where cycloplegia is not available but does not help in identifying the magnitude of refractive error and therefore is of limited value.
To systematically analyse the differences between cycloplegic and noncycloplegic refractive errors (RE) in children and to determine if the predictive value of noncycloplegic RE in categorizing RE can be improved. Random cluster sampling was used to select 6825 children aged 4-15 years. Autorefraction was performed under both noncycloplegic and cycloplegic (induced with 1% cyclopentolate drops) conditions. Paired differences between noncycloplegic and cycloplegic spherical equivalent (SE) RE were determined. A general linear model was developed to determine whether cycloplegic SE can be predicted using noncycloplegic SE, age and uncorrected visual acuity (UCVA). Compared to cycloplegia, noncycloplegia resulted in a more myopic SE (paired difference: -0.63 ± 0.65D, 95% CI: -0.612 to -0.65D, 6017 eligible right eyes) with greater differences observed in younger participants and in eyes with more hyperopic RE and smaller AL. Using raw noncycloplegic data resulted in only 61% of the eyes being correctly classified as myopic, emmetropic or hyperopic. Using age and uncorrected VA in the model, the association improved and 77% of the eyes were classified correctly. However, predicted cycloplegic SE continued to show large residual errors for low myopic to hyperopic RE. Applying the model to only those eyes with uncorrected VA <6/6 resulted in an improvement (R = 0. 93), with 80% of the eyes correctly classified. A higher VA cut-off (i.e., ≤6/18) resulted in 97.5% of eyes classified correctly. Noncycloplegic assessment of RE in children overestimates myopia and results in a high error rate for emmetropic and hyperopic RE. Adjusting for age and applying uncorrected VA cut-offs to noncycloplegic assessments improves detection of myopic RE and may help in identifying myopic RE in situations where cycloplegia is not available but does not help in identifying the magnitude of refractive error and therefore is of limited value.
Purpose To systematically analyse the differences between cycloplegic and noncycloplegic refractive errors (RE) in children and to determine if the predictive value of noncycloplegic RE in categorizing RE can be improved. Methods Random cluster sampling was used to select 6825 children aged 4-15 years. Autorefraction was performed under both noncycloplegic and cycloplegic (induced with 1% cyclopentolate drops) conditions. Paired differences between noncycloplegic and cycloplegic spherical equivalent (SE) RE were determined. A general linear model was developed to determine whether cycloplegic SE can be predicted using noncycloplegic SE, age and uncorrected visual acuity (UCVA). Results Compared to cycloplegia, noncycloplegia resulted in a more myopic SE (paired difference: -0.63 ± 0.65D, 95% CI: -0.612 to -0.65D, 6017 eligible right eyes) with greater differences observed in younger participants and in eyes with more hyperopic RE and smaller AL. Using raw noncycloplegic data resulted in only 61% of the eyes being correctly classified as myopic, emmetropic or hyperopic. Using age and uncorrected VA in the model, the association improved and 77% of the eyes were classified correctly. However, predicted cycloplegic SE continued to show large residual errors for low myopic to hyperopic RE. Applying the model to only those eyes with uncorrected VA <6/6 resulted in an improvement (R2 = 0. 93), with 80% of the eyes correctly classified. A higher VA cut-off (i.e., ≤6/18) resulted in 97.5% of eyes classified correctly. Conclusion Noncycloplegic assessment of RE in children overestimates myopia and results in a high error rate for emmetropic and hyperopic RE. Adjusting for age and applying uncorrected VA cut-offs to noncycloplegic assessments improves detection of myopic RE and may help in identifying myopic RE in situations where cycloplegia is not available but does not help in identifying the magnitude of refractive error and therefore is of limited value.
Author Naduvilath, Thomas
Lv, Minzhi
Zou, Haidong
Sankaridurg, Padmaja
Erickson, Paul
Xu, Xun
Zhu, Jianfeng
Ho, Arthur
Smith, Earl
He, Xiangui
AuthorAffiliation 4 School of Public Health Fudan University Shanghai China
2 School of Optometry and Vision Science University of New South Wales Sydney New South Wales Australia
5 College of Optometry University of Houston Houston Texas USA
3 Department of Preventative Ophthalmology Shanghai Eye Disease Prevention and Treatment Center Shanghai Eye Hospital Shanghai China
6 Department of Ophthalmology Shanghai General Hospital Shanghai Jiao Tong University Shanghai China
1 Brien Holden Vision Institute Sydney New South Wales Australia
AuthorAffiliation_xml – name: 1 Brien Holden Vision Institute Sydney New South Wales Australia
– name: 4 School of Public Health Fudan University Shanghai China
– name: 3 Department of Preventative Ophthalmology Shanghai Eye Disease Prevention and Treatment Center Shanghai Eye Hospital Shanghai China
– name: 5 College of Optometry University of Houston Houston Texas USA
– name: 6 Department of Ophthalmology Shanghai General Hospital Shanghai Jiao Tong University Shanghai China
– name: 2 School of Optometry and Vision Science University of New South Wales Sydney New South Wales Australia
Author_xml – sequence: 1
  givenname: Padmaja
  surname: Sankaridurg
  fullname: Sankaridurg, Padmaja
  organization: University of New South Wales
– sequence: 2
  givenname: Xiangui
  orcidid: 0000-0002-8938-1879
  surname: He
  fullname: He, Xiangui
  email: xianhezi@163.com
  organization: Fudan University
– sequence: 3
  givenname: Thomas
  surname: Naduvilath
  fullname: Naduvilath, Thomas
  organization: University of New South Wales
– sequence: 4
  givenname: Minzhi
  surname: Lv
  fullname: Lv, Minzhi
  organization: Shanghai Eye Hospital
– sequence: 5
  givenname: Arthur
  surname: Ho
  fullname: Ho, Arthur
  organization: University of New South Wales
– sequence: 6
  givenname: Earl
  surname: Smith
  fullname: Smith, Earl
  organization: University of Houston
– sequence: 7
  givenname: Paul
  surname: Erickson
  fullname: Erickson, Paul
  organization: Brien Holden Vision Institute
– sequence: 8
  givenname: Jianfeng
  surname: Zhu
  fullname: Zhu, Jianfeng
  email: jfzhu1974@hotmail.com
  organization: Shanghai Eye Hospital
– sequence: 9
  givenname: Haidong
  surname: Zou
  fullname: Zou, Haidong
  organization: Shanghai Jiao Tong University
– sequence: 10
  givenname: Xun
  orcidid: 0000-0002-4246-4343
  surname: Xu
  fullname: Xu, Xun
  organization: Shanghai Jiao Tong University
BackLink https://www.ncbi.nlm.nih.gov/pubmed/29110438$$D View this record in MEDLINE/PubMed
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ContentType Journal Article
Copyright 2017 The Authors. Acta Ophthalmologica published by John Wiley & Sons Ltd on behalf of Acta Ophthalmologica Scandinavica Foundation.
Copyright © 2017 Acta Ophthalmologica Scandinavica Foundation
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Issue 7
Keywords myopia
cycloplegic refraction
children
non cycloplegic refraction
refractive errors
Language English
License Attribution-NonCommercial
2017 The Authors. Acta Ophthalmologica published by John Wiley & Sons Ltd on behalf of Acta Ophthalmologica Scandinavica Foundation.
This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
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Financial support are given by Three‐year Action Program of Shanghai Municipality for Strengthening the Construction of the Public Health System (2015–2017) (Grant No. GWIV‐13.2); Key Discipline of Public Health–Eye Health in Shanghai (Grant No. 15GWZK0601); Overseas High‐end Research Team–Eye Health in Shanghai (GWTD2015S08); National Natural Science Foundation of China for Young Staff (Grant No. 81402695); Shanghai Natural Science Foundation (Grant No. 15ZR1438400); Brien Holden Vision Institute, Sydney, Australia.
ORCID 0000-0002-8938-1879
0000-0002-4246-4343
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Snippet Purpose To systematically analyse the differences between cycloplegic and noncycloplegic refractive errors (RE) in children and to determine if the predictive...
To systematically analyse the differences between cycloplegic and noncycloplegic refractive errors (RE) in children and to determine if the predictive value of...
Purpose To systematically analyse the differences between cycloplegic and noncycloplegic refractive errors (RE) in children and to determine if the predictive...
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SubjectTerms Acuity
Age
Children
cycloplegic refraction
Myopia
non cycloplegic refraction
Original
refractive errors
Title Comparison of noncycloplegic and cycloplegic autorefraction in categorizing refractive error data in children
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