New pediatric risk factors for amblyopia: strabismic versus refractive
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/1822/57819 |
Resumo: | Purpose: To assess the role of risk factors for amblyopia, such as family history and neonatal background, for the prediction of either strabismic amblyopia or refractive amblyopia.Methods: In this retrospective case-control model, the study population included all children born at the Hospital de Braga during 1997-2012 (3 to 18 years old) with ophthalmologic consultation in 2014. Data collection was performed from the clinical database and through telephone questionnaire surveys.Results: A total of 298 (50%) controls and 298 (50%) cases (120 [40.3%] strabismic amblyopia and 178 [59.7%] refractive amblyopia) were analyzed. A significantly lower birthweight was detected in patients with strabismic amblyopia (mean 2,961 g [95% confidence interval (CI) 2,827-3,096]) compared to controls (mean 3,198 g [95% CI 3,125-3,271]) (p = 0.002). Five-minute Apgar was significantly lower in patients with strabismic amblyopia (mean 9.57 [95% CI 9.37-9.77]) than in controls (mean 9.83 [95% CI 9.77-9.90]) (p = 0.004) or patients with refractive amblyopia (mean 9.79 [95% CI 9.69-9.89]) (p = 0.031). Family history of either amblyopia or strabismus was associated with amblyopia (chi(2) [2, n = 562] = 12.66; p = 0.002; Cramer V = 0.150; chi(2) [2, n = 561] = 11.0; p = 0.004; Cramer V = 0.140), but was significantly more associated with strabismic amblyopia (p = 0.0023 and p = 0.0032) than with refractive amblyopia (p = 0.48 and p = 0.015, respectively). Multinomial logistic regression model explained 50.8% of the variance in amblyopia development. Low 5-minute Apgar had a relevant odds ratio (OR) for either strabismic amblyopia (OR 3.44; p = 0.066) or refractive amblyopia (OR 3.30; p = 0.077).Conclusions: This division in amblyopia subtypes gives a new perspective of the risk factors for amblyopia, with family history and some obstetrician/neonatal outcomes appearing to be more relevant in strabismic amblyopia. Educating health care providers to recognize these risk factors can result in an early ophthalmologic referral. |
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New pediatric risk factors for amblyopia: strabismic versus refractiveAdolescentAmblyopiaBirth WeightCase-Control StudiesChildChild, PreschoolFemaleHumansMaleMedical History TakingRefractive ErrorsRetrospective StudiesRisk FactorsStrabismusSurveys and QuestionnairesVision TestsVisual AcuityAmblyogenic risk factorsFamily historyNeonatal backgroundScience & TechnologyPurpose: To assess the role of risk factors for amblyopia, such as family history and neonatal background, for the prediction of either strabismic amblyopia or refractive amblyopia.Methods: In this retrospective case-control model, the study population included all children born at the Hospital de Braga during 1997-2012 (3 to 18 years old) with ophthalmologic consultation in 2014. Data collection was performed from the clinical database and through telephone questionnaire surveys.Results: A total of 298 (50%) controls and 298 (50%) cases (120 [40.3%] strabismic amblyopia and 178 [59.7%] refractive amblyopia) were analyzed. A significantly lower birthweight was detected in patients with strabismic amblyopia (mean 2,961 g [95% confidence interval (CI) 2,827-3,096]) compared to controls (mean 3,198 g [95% CI 3,125-3,271]) (p = 0.002). Five-minute Apgar was significantly lower in patients with strabismic amblyopia (mean 9.57 [95% CI 9.37-9.77]) than in controls (mean 9.83 [95% CI 9.77-9.90]) (p = 0.004) or patients with refractive amblyopia (mean 9.79 [95% CI 9.69-9.89]) (p = 0.031). Family history of either amblyopia or strabismus was associated with amblyopia (chi(2) [2, n = 562] = 12.66; p = 0.002; Cramer V = 0.150; chi(2) [2, n = 561] = 11.0; p = 0.004; Cramer V = 0.140), but was significantly more associated with strabismic amblyopia (p = 0.0023 and p = 0.0032) than with refractive amblyopia (p = 0.48 and p = 0.015, respectively). Multinomial logistic regression model explained 50.8% of the variance in amblyopia development. Low 5-minute Apgar had a relevant odds ratio (OR) for either strabismic amblyopia (OR 3.44; p = 0.066) or refractive amblyopia (OR 3.30; p = 0.077).Conclusions: This division in amblyopia subtypes gives a new perspective of the risk factors for amblyopia, with family history and some obstetrician/neonatal outcomes appearing to be more relevant in strabismic amblyopia. Educating health care providers to recognize these risk factors can result in an early ophthalmologic referral.info:eu-repo/semantics/publishedVersionSAGE Publications LtdUniversidade do MinhoGuimarães, SandraVieira, MariaQueirós, Tatiana Sofia MonteiroSoares, AndreiaCosta, Patrício SoaresSilva, Eduardo20182018-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/57819eng1120-672110.5301/ejo.500103628967080info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:11:09Zoai:repositorium.sdum.uminho.pt:1822/57819Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:02:51.650707Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
New pediatric risk factors for amblyopia: strabismic versus refractive |
title |
New pediatric risk factors for amblyopia: strabismic versus refractive |
spellingShingle |
New pediatric risk factors for amblyopia: strabismic versus refractive Guimarães, Sandra Adolescent Amblyopia Birth Weight Case-Control Studies Child Child, Preschool Female Humans Male Medical History Taking Refractive Errors Retrospective Studies Risk Factors Strabismus Surveys and Questionnaires Vision Tests Visual Acuity Amblyogenic risk factors Family history Neonatal background Science & Technology |
title_short |
New pediatric risk factors for amblyopia: strabismic versus refractive |
title_full |
New pediatric risk factors for amblyopia: strabismic versus refractive |
title_fullStr |
New pediatric risk factors for amblyopia: strabismic versus refractive |
title_full_unstemmed |
New pediatric risk factors for amblyopia: strabismic versus refractive |
title_sort |
New pediatric risk factors for amblyopia: strabismic versus refractive |
author |
Guimarães, Sandra |
author_facet |
Guimarães, Sandra Vieira, Maria Queirós, Tatiana Sofia Monteiro Soares, Andreia Costa, Patrício Soares Silva, Eduardo |
author_role |
author |
author2 |
Vieira, Maria Queirós, Tatiana Sofia Monteiro Soares, Andreia Costa, Patrício Soares Silva, Eduardo |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Guimarães, Sandra Vieira, Maria Queirós, Tatiana Sofia Monteiro Soares, Andreia Costa, Patrício Soares Silva, Eduardo |
dc.subject.por.fl_str_mv |
Adolescent Amblyopia Birth Weight Case-Control Studies Child Child, Preschool Female Humans Male Medical History Taking Refractive Errors Retrospective Studies Risk Factors Strabismus Surveys and Questionnaires Vision Tests Visual Acuity Amblyogenic risk factors Family history Neonatal background Science & Technology |
topic |
Adolescent Amblyopia Birth Weight Case-Control Studies Child Child, Preschool Female Humans Male Medical History Taking Refractive Errors Retrospective Studies Risk Factors Strabismus Surveys and Questionnaires Vision Tests Visual Acuity Amblyogenic risk factors Family history Neonatal background Science & Technology |
description |
Purpose: To assess the role of risk factors for amblyopia, such as family history and neonatal background, for the prediction of either strabismic amblyopia or refractive amblyopia.Methods: In this retrospective case-control model, the study population included all children born at the Hospital de Braga during 1997-2012 (3 to 18 years old) with ophthalmologic consultation in 2014. Data collection was performed from the clinical database and through telephone questionnaire surveys.Results: A total of 298 (50%) controls and 298 (50%) cases (120 [40.3%] strabismic amblyopia and 178 [59.7%] refractive amblyopia) were analyzed. A significantly lower birthweight was detected in patients with strabismic amblyopia (mean 2,961 g [95% confidence interval (CI) 2,827-3,096]) compared to controls (mean 3,198 g [95% CI 3,125-3,271]) (p = 0.002). Five-minute Apgar was significantly lower in patients with strabismic amblyopia (mean 9.57 [95% CI 9.37-9.77]) than in controls (mean 9.83 [95% CI 9.77-9.90]) (p = 0.004) or patients with refractive amblyopia (mean 9.79 [95% CI 9.69-9.89]) (p = 0.031). Family history of either amblyopia or strabismus was associated with amblyopia (chi(2) [2, n = 562] = 12.66; p = 0.002; Cramer V = 0.150; chi(2) [2, n = 561] = 11.0; p = 0.004; Cramer V = 0.140), but was significantly more associated with strabismic amblyopia (p = 0.0023 and p = 0.0032) than with refractive amblyopia (p = 0.48 and p = 0.015, respectively). Multinomial logistic regression model explained 50.8% of the variance in amblyopia development. Low 5-minute Apgar had a relevant odds ratio (OR) for either strabismic amblyopia (OR 3.44; p = 0.066) or refractive amblyopia (OR 3.30; p = 0.077).Conclusions: This division in amblyopia subtypes gives a new perspective of the risk factors for amblyopia, with family history and some obstetrician/neonatal outcomes appearing to be more relevant in strabismic amblyopia. Educating health care providers to recognize these risk factors can result in an early ophthalmologic referral. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018 2018-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/1822/57819 |
url |
http://hdl.handle.net/1822/57819 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1120-6721 10.5301/ejo.5001036 28967080 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
SAGE Publications Ltd |
publisher.none.fl_str_mv |
SAGE Publications Ltd |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799132433148280832 |