Association between metabolic risk factors and optic disc cupping identified by deep learning method

This study aims to investigate correlation between metabolic risk factors and optic disc cupping and the development of glaucoma. This study is a retrospective, cross-sectional study with over 20-year-old patients that underwent health screening examinations. Intraocular pressure (IOP), fundus photo...

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Veröffentlicht in:PloS one 2020-09, Vol.15 (9), p.e0239071-e0239071
Hauptverfasser: Shin, Jonghoon, Kang, Min Seung, Park, Keunheung, Lee, Jong Soo, Bhattacharya, Sanjoy
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Kang, Min Seung
Park, Keunheung
Lee, Jong Soo
Bhattacharya, Sanjoy
description This study aims to investigate correlation between metabolic risk factors and optic disc cupping and the development of glaucoma. This study is a retrospective, cross-sectional study with over 20-year-old patients that underwent health screening examinations. Intraocular pressure (IOP), fundus photographs, Body Mass Index (BMI), waist circumference (WC), serum triglycerides, serum HDL cholesterol (HDL-C), serum LDL cholesterol (LDL-C), systolic blood pressure (BP), diastolic BP, and serum HbA1c were obtained to analyse correlation between metabolic risk factors and glaucoma. Eye with glaucomatous optic neuropathy(GON) was defined as having an optic disc with either vertical cup-to-disc ratio(VCDR) [greater than or equal to] 0.7 or a VCDR difference [greater than or equal to] 0.2 between the right and left eyes by measuring VCDR with deep learning approach. The study comprised 15,585 subjects and 877 subjects were diagnosed as GON. In univariate analyses, age, BMI, systolic BP, diastolic BP, WC, triglyceride, LDL-C, HbA1c, and IOP were significantly and positively correlated with VCDR in the optic nerve head. In linear regression analysis as independent variables, stepwise multiple regression analyses revealed that age, BMI, systolic BP, HbA1c, and IOP showed positive correlation with VCDR. In multivariate logistic analyses of risk factors and GON, higher age (odds ratio [OR], 1.054; 95% confidence interval [CI], 1.046-1.063), male gender (OR, 0.730; 95% CI, 0.609-0.876), more obese (OR, 1.267; 95% CI, 1.065-1.507), and diabetes (OR, 1.575; 95% CI, 1.214-2.043) remained statistically significant correlation with GON. Among the metabolic risk factors, obesity and diabetes as well as older age and male gender are risk factors of developing GON. The glaucoma screening examinations should be considered in the populations with these indicated risk factors.
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This study is a retrospective, cross-sectional study with over 20-year-old patients that underwent health screening examinations. Intraocular pressure (IOP), fundus photographs, Body Mass Index (BMI), waist circumference (WC), serum triglycerides, serum HDL cholesterol (HDL-C), serum LDL cholesterol (LDL-C), systolic blood pressure (BP), diastolic BP, and serum HbA1c were obtained to analyse correlation between metabolic risk factors and glaucoma. Eye with glaucomatous optic neuropathy(GON) was defined as having an optic disc with either vertical cup-to-disc ratio(VCDR) [greater than or equal to] 0.7 or a VCDR difference [greater than or equal to] 0.2 between the right and left eyes by measuring VCDR with deep learning approach. The study comprised 15,585 subjects and 877 subjects were diagnosed as GON. In univariate analyses, age, BMI, systolic BP, diastolic BP, WC, triglyceride, LDL-C, HbA1c, and IOP were significantly and positively correlated with VCDR in the optic nerve head. In linear regression analysis as independent variables, stepwise multiple regression analyses revealed that age, BMI, systolic BP, HbA1c, and IOP showed positive correlation with VCDR. In multivariate logistic analyses of risk factors and GON, higher age (odds ratio [OR], 1.054; 95% confidence interval [CI], 1.046-1.063), male gender (OR, 0.730; 95% CI, 0.609-0.876), more obese (OR, 1.267; 95% CI, 1.065-1.507), and diabetes (OR, 1.575; 95% CI, 1.214-2.043) remained statistically significant correlation with GON. Among the metabolic risk factors, obesity and diabetes as well as older age and male gender are risk factors of developing GON. 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This study is a retrospective, cross-sectional study with over 20-year-old patients that underwent health screening examinations. Intraocular pressure (IOP), fundus photographs, Body Mass Index (BMI), waist circumference (WC), serum triglycerides, serum HDL cholesterol (HDL-C), serum LDL cholesterol (LDL-C), systolic blood pressure (BP), diastolic BP, and serum HbA1c were obtained to analyse correlation between metabolic risk factors and glaucoma. Eye with glaucomatous optic neuropathy(GON) was defined as having an optic disc with either vertical cup-to-disc ratio(VCDR) [greater than or equal to] 0.7 or a VCDR difference [greater than or equal to] 0.2 between the right and left eyes by measuring VCDR with deep learning approach. The study comprised 15,585 subjects and 877 subjects were diagnosed as GON. In univariate analyses, age, BMI, systolic BP, diastolic BP, WC, triglyceride, LDL-C, HbA1c, and IOP were significantly and positively correlated with VCDR in the optic nerve head. In linear regression analysis as independent variables, stepwise multiple regression analyses revealed that age, BMI, systolic BP, HbA1c, and IOP showed positive correlation with VCDR. In multivariate logistic analyses of risk factors and GON, higher age (odds ratio [OR], 1.054; 95% confidence interval [CI], 1.046-1.063), male gender (OR, 0.730; 95% CI, 0.609-0.876), more obese (OR, 1.267; 95% CI, 1.065-1.507), and diabetes (OR, 1.575; 95% CI, 1.214-2.043) remained statistically significant correlation with GON. Among the metabolic risk factors, obesity and diabetes as well as older age and male gender are risk factors of developing GON. The glaucoma screening examinations should be considered in the populations with these indicated risk factors.</abstract><cop>San Francisco</cop><pub>Public Library of Science</pub><pmid>32941514</pmid><doi>10.1371/journal.pone.0239071</doi><tpages>e0239071</tpages><orcidid>https://orcid.org/0000-0002-1052-2924</orcidid><orcidid>https://orcid.org/0000-0003-1721-1253</orcidid><orcidid>https://orcid.org/0000-0001-5026-4117</orcidid><oa>free_for_read</oa></addata></record>
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source DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Public Library of Science (PLoS); PubMed Central; Free Full-Text Journals in Chemistry
subjects Age
Biology and Life Sciences
Blood pressure
Body mass
Body mass index
Body size
Cholesterol
Complications and side effects
Confidence intervals
Correlation
Correlation analysis
Deep learning
Development and progression
Diabetes
Diabetes mellitus
Diabetic neuropathy
Glaucoma
Glucose
Health aspects
Health risks
Hemoglobin
High density lipoprotein
Hospitals
Hypertension
Independent variables
Intraocular pressure
Low density lipoprotein
Machine learning
Medical research
Medical screening
Medicine
Medicine and Health Sciences
Metabolic syndrome
Metabolic syndrome X
Neuropathy
Obesity
Open-angle glaucoma
Optic disc
Optic nerve
Optic neuropathy
Pathogenesis
Regression analysis
Risk analysis
Risk factors
Statistical analysis
Triglycerides
title Association between metabolic risk factors and optic disc cupping identified by deep learning method
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