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Predictors of Early Onset Glaucoma

PURPOSE/RELEVANCE: To determine the influence of hypertension (HTN), type 2 diabetes (DM2), migraine, and obstructive sleep apnea (OSA) on the onset of primary open-angle glaucoma (POAG) to enhance predictive accuracy. METHODS: In this cross-sectional study, data for 389 eligible patients with POAG...

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Autores principales: Wooliscroft, Jeffrey, Akram, Rubeel, Zuberi, Hafsa, Tong, Betty, Gu, Jane, Hurd, Aaron, Kooner, Karanjit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9196659/
https://www.ncbi.nlm.nih.gov/pubmed/35711969
http://dx.doi.org/10.2147/OPTH.S360719
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author Wooliscroft, Jeffrey
Akram, Rubeel
Zuberi, Hafsa
Tong, Betty
Gu, Jane
Hurd, Aaron
Kooner, Karanjit
author_facet Wooliscroft, Jeffrey
Akram, Rubeel
Zuberi, Hafsa
Tong, Betty
Gu, Jane
Hurd, Aaron
Kooner, Karanjit
author_sort Wooliscroft, Jeffrey
collection PubMed
description PURPOSE/RELEVANCE: To determine the influence of hypertension (HTN), type 2 diabetes (DM2), migraine, and obstructive sleep apnea (OSA) on the onset of primary open-angle glaucoma (POAG) to enhance predictive accuracy. METHODS: In this cross-sectional study, data for 389 eligible patients with POAG were collected through medical records review and phone surveys. All data were assessed collectively using stepwise multiple regression analysis to determine the relative contribution to age at POAG diagnosis. We used the following groups, based on age at diagnosis, HTN for patients with or without DM2 (model 1), HTN for patients with DM2 (model 2), DM2 for patients with or without HTN (model 3), and DM2 for patients with HTN (model 4). RESULTS: In model 1, age at HTN diagnosis was associated with age at POAG diagnosis (β = 0.14; 95% CI, 0.01–0.26, p = 0.04). In model 2, age at HTN diagnosis was not associated with age at POAG diagnosis (p > 0.05). In model 3, age at DM2 diagnosis was associated with age at POAG diagnosis (β = 0.37; 95% CI 0.16–0.58, p = 0.001). In model 4, age at DM2 diagnosis was associated with age at POAG diagnosis (β = 0.40; 95% CI 0.00–0.15, p = 0.003). Asian race/ethnicity was associated with early onset of POAG in model 3 (β = −6.44; 95% CI −12.34–0.54, p = 0.033). OSA and migraine did not influence the onset of POAG. CONCLUSION: Our study found that the diagnosis of DM2 and HTN at an earlier age is associated with the early onset of POAG.
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spelling pubmed-91966592022-06-15 Predictors of Early Onset Glaucoma Wooliscroft, Jeffrey Akram, Rubeel Zuberi, Hafsa Tong, Betty Gu, Jane Hurd, Aaron Kooner, Karanjit Clin Ophthalmol Original Research PURPOSE/RELEVANCE: To determine the influence of hypertension (HTN), type 2 diabetes (DM2), migraine, and obstructive sleep apnea (OSA) on the onset of primary open-angle glaucoma (POAG) to enhance predictive accuracy. METHODS: In this cross-sectional study, data for 389 eligible patients with POAG were collected through medical records review and phone surveys. All data were assessed collectively using stepwise multiple regression analysis to determine the relative contribution to age at POAG diagnosis. We used the following groups, based on age at diagnosis, HTN for patients with or without DM2 (model 1), HTN for patients with DM2 (model 2), DM2 for patients with or without HTN (model 3), and DM2 for patients with HTN (model 4). RESULTS: In model 1, age at HTN diagnosis was associated with age at POAG diagnosis (β = 0.14; 95% CI, 0.01–0.26, p = 0.04). In model 2, age at HTN diagnosis was not associated with age at POAG diagnosis (p > 0.05). In model 3, age at DM2 diagnosis was associated with age at POAG diagnosis (β = 0.37; 95% CI 0.16–0.58, p = 0.001). In model 4, age at DM2 diagnosis was associated with age at POAG diagnosis (β = 0.40; 95% CI 0.00–0.15, p = 0.003). Asian race/ethnicity was associated with early onset of POAG in model 3 (β = −6.44; 95% CI −12.34–0.54, p = 0.033). OSA and migraine did not influence the onset of POAG. CONCLUSION: Our study found that the diagnosis of DM2 and HTN at an earlier age is associated with the early onset of POAG. Dove 2022-06-10 /pmc/articles/PMC9196659/ /pubmed/35711969 http://dx.doi.org/10.2147/OPTH.S360719 Text en © 2022 Wooliscroft et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Wooliscroft, Jeffrey
Akram, Rubeel
Zuberi, Hafsa
Tong, Betty
Gu, Jane
Hurd, Aaron
Kooner, Karanjit
Predictors of Early Onset Glaucoma
title Predictors of Early Onset Glaucoma
title_full Predictors of Early Onset Glaucoma
title_fullStr Predictors of Early Onset Glaucoma
title_full_unstemmed Predictors of Early Onset Glaucoma
title_short Predictors of Early Onset Glaucoma
title_sort predictors of early onset glaucoma
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9196659/
https://www.ncbi.nlm.nih.gov/pubmed/35711969
http://dx.doi.org/10.2147/OPTH.S360719
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