The Relationship Between Components of Metabolic Syndrome and Open-Angle Glaucoma

Purpose To determine whether an association exists between various components of metabolic syndrome (diabetes mellitus [DM], systemic arterial hypertension [HTN], hyperlipidemia, and obesity) and open-angle glaucoma (OAG) in a large, diverse group of individuals throughout the United States. Design...

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Veröffentlicht in:Ophthalmology (Rochester, Minn.) Minn.), 2011-07, Vol.118 (7), p.1318-1326
Hauptverfasser: Newman-Casey, Paula Anne, MD, Talwar, Nidhi, MS, Nan, Bin, PhD, Musch, David C., PhD, MPH, Stein, Joshua D., MD, MS
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container_end_page 1326
container_issue 7
container_start_page 1318
container_title Ophthalmology (Rochester, Minn.)
container_volume 118
creator Newman-Casey, Paula Anne, MD
Talwar, Nidhi, MS
Nan, Bin, PhD
Musch, David C., PhD, MPH
Stein, Joshua D., MD, MS
description Purpose To determine whether an association exists between various components of metabolic syndrome (diabetes mellitus [DM], systemic arterial hypertension [HTN], hyperlipidemia, and obesity) and open-angle glaucoma (OAG) in a large, diverse group of individuals throughout the United States. Design Longitudinal cohort study. Participants All beneficiaries aged ≥40 years continuously enrolled in a managed care network who had 1 or more visits to an eye care provider during 2001 to 2007 were identified. Methods Billing codes were used to identify individuals with OAG and those with components of metabolic syndrome. Cox regression was used to determine the hazard of developing OAG in enrollees with individual components or combinations of components of metabolic syndrome, with adjustment for sociodemographic factors, systemic medical conditions, and other ocular diseases. Main Outcome Measures Hazard of developing OAG. Results Of the 2 182 315 enrollees who met the inclusion criteria, 55 090 (2.5%) had OAG. After adjustment for confounding factors, those with DM (hazard ratio [HR] = 1.35 [95% confidence interval [CI], 1.21–1.50]) or HTN (HR = 1.17 [95% CI, 1.13–1.22]) alone or in combination (HR = 1.48 [95% CI, 1.39–1.58]) had an increased hazard of developing OAG relative to persons with neither of these conditions. By contrast, persons with hyperlipidemia alone had a 5% decreased hazard of OAG (HR = 0.95 [95% CI, 0.91–0.98]). Comorbid hyperlipidemia attenuated the increased hazard between HTN (HR = 1.09 [95% CI, 1.05–1.12]) or DM (HR = 1.13 [95% CI, 1.05–1.21]) and OAG. Conclusions At a time when the prevalence of metabolic disorders in the United States, is increasing this study furthers our understanding of risk factors associated with OAG and helps identify persons who may be at increased risk for this condition. Financial Disclosure(s) The author(s) have no proprietary or commercial interest in any materials discussed in this article.
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Design Longitudinal cohort study. Participants All beneficiaries aged ≥40 years continuously enrolled in a managed care network who had 1 or more visits to an eye care provider during 2001 to 2007 were identified. Methods Billing codes were used to identify individuals with OAG and those with components of metabolic syndrome. Cox regression was used to determine the hazard of developing OAG in enrollees with individual components or combinations of components of metabolic syndrome, with adjustment for sociodemographic factors, systemic medical conditions, and other ocular diseases. Main Outcome Measures Hazard of developing OAG. Results Of the 2 182 315 enrollees who met the inclusion criteria, 55 090 (2.5%) had OAG. After adjustment for confounding factors, those with DM (hazard ratio [HR] = 1.35 [95% confidence interval [CI], 1.21–1.50]) or HTN (HR = 1.17 [95% CI, 1.13–1.22]) alone or in combination (HR = 1.48 [95% CI, 1.39–1.58]) had an increased hazard of developing OAG relative to persons with neither of these conditions. By contrast, persons with hyperlipidemia alone had a 5% decreased hazard of OAG (HR = 0.95 [95% CI, 0.91–0.98]). Comorbid hyperlipidemia attenuated the increased hazard between HTN (HR = 1.09 [95% CI, 1.05–1.12]) or DM (HR = 1.13 [95% CI, 1.05–1.21]) and OAG. Conclusions At a time when the prevalence of metabolic disorders in the United States, is increasing this study furthers our understanding of risk factors associated with OAG and helps identify persons who may be at increased risk for this condition. Financial Disclosure(s) The author(s) have no proprietary or commercial interest in any materials discussed in this article.</description><identifier>ISSN: 0161-6420</identifier><identifier>EISSN: 1549-4713</identifier><identifier>DOI: 10.1016/j.ophtha.2010.11.022</identifier><identifier>PMID: 21481477</identifier><identifier>CODEN: OPHTDG</identifier><language>eng</language><publisher>New York, NY: Elsevier Inc</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Biological and medical sciences ; Cohort Studies ; Diabetes Complications ; Female ; Glaucoma and intraocular pressure ; Glaucoma, Open-Angle - etiology ; Glaucoma, Open-Angle - physiopathology ; Glaucoma, Open-Angle - prevention &amp; control ; Humans ; Hyperlipidemias - complications ; Hypertension - complications ; Likelihood Functions ; Longitudinal Studies ; Male ; Medical sciences ; Metabolic diseases ; Middle Aged ; Miscellaneous ; Obesity - complications ; Ophthalmology ; Other metabolic disorders ; Proportional Hazards Models ; Risk Factors ; Severity of Illness Index ; Socioeconomic Factors</subject><ispartof>Ophthalmology (Rochester, Minn.), 2011-07, Vol.118 (7), p.1318-1326</ispartof><rights>American Academy of Ophthalmology</rights><rights>2011 American Academy of Ophthalmology</rights><rights>2015 INIST-CNRS</rights><rights>Copyright © 2011 American Academy of Ophthalmology. 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All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c613t-cc6f40636f64d0fd59f22275a7080e5383ba1cb9ae1a64746d4ecba100f82c8b3</citedby><cites>FETCH-LOGICAL-c613t-cc6f40636f64d0fd59f22275a7080e5383ba1cb9ae1a64746d4ecba100f82c8b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.ophtha.2010.11.022$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,780,784,885,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=24321792$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21481477$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Newman-Casey, Paula Anne, MD</creatorcontrib><creatorcontrib>Talwar, Nidhi, MS</creatorcontrib><creatorcontrib>Nan, Bin, PhD</creatorcontrib><creatorcontrib>Musch, David C., PhD, MPH</creatorcontrib><creatorcontrib>Stein, Joshua D., MD, MS</creatorcontrib><title>The Relationship Between Components of Metabolic Syndrome and Open-Angle Glaucoma</title><title>Ophthalmology (Rochester, Minn.)</title><addtitle>Ophthalmology</addtitle><description>Purpose To determine whether an association exists between various components of metabolic syndrome (diabetes mellitus [DM], systemic arterial hypertension [HTN], hyperlipidemia, and obesity) and open-angle glaucoma (OAG) in a large, diverse group of individuals throughout the United States. Design Longitudinal cohort study. Participants All beneficiaries aged ≥40 years continuously enrolled in a managed care network who had 1 or more visits to an eye care provider during 2001 to 2007 were identified. Methods Billing codes were used to identify individuals with OAG and those with components of metabolic syndrome. Cox regression was used to determine the hazard of developing OAG in enrollees with individual components or combinations of components of metabolic syndrome, with adjustment for sociodemographic factors, systemic medical conditions, and other ocular diseases. Main Outcome Measures Hazard of developing OAG. Results Of the 2 182 315 enrollees who met the inclusion criteria, 55 090 (2.5%) had OAG. After adjustment for confounding factors, those with DM (hazard ratio [HR] = 1.35 [95% confidence interval [CI], 1.21–1.50]) or HTN (HR = 1.17 [95% CI, 1.13–1.22]) alone or in combination (HR = 1.48 [95% CI, 1.39–1.58]) had an increased hazard of developing OAG relative to persons with neither of these conditions. By contrast, persons with hyperlipidemia alone had a 5% decreased hazard of OAG (HR = 0.95 [95% CI, 0.91–0.98]). Comorbid hyperlipidemia attenuated the increased hazard between HTN (HR = 1.09 [95% CI, 1.05–1.12]) or DM (HR = 1.13 [95% CI, 1.05–1.21]) and OAG. Conclusions At a time when the prevalence of metabolic disorders in the United States, is increasing this study furthers our understanding of risk factors associated with OAG and helps identify persons who may be at increased risk for this condition. 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Talwar, Nidhi, MS ; Nan, Bin, PhD ; Musch, David C., PhD, MPH ; Stein, Joshua D., MD, MS</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c613t-cc6f40636f64d0fd59f22275a7080e5383ba1cb9ae1a64746d4ecba100f82c8b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Biological and medical sciences</topic><topic>Cohort Studies</topic><topic>Diabetes Complications</topic><topic>Female</topic><topic>Glaucoma and intraocular pressure</topic><topic>Glaucoma, Open-Angle - etiology</topic><topic>Glaucoma, Open-Angle - physiopathology</topic><topic>Glaucoma, Open-Angle - prevention &amp; control</topic><topic>Humans</topic><topic>Hyperlipidemias - complications</topic><topic>Hypertension - complications</topic><topic>Likelihood Functions</topic><topic>Longitudinal Studies</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Metabolic diseases</topic><topic>Middle Aged</topic><topic>Miscellaneous</topic><topic>Obesity - complications</topic><topic>Ophthalmology</topic><topic>Other metabolic disorders</topic><topic>Proportional Hazards Models</topic><topic>Risk Factors</topic><topic>Severity of Illness Index</topic><topic>Socioeconomic Factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Newman-Casey, Paula Anne, MD</creatorcontrib><creatorcontrib>Talwar, Nidhi, MS</creatorcontrib><creatorcontrib>Nan, Bin, PhD</creatorcontrib><creatorcontrib>Musch, David C., PhD, MPH</creatorcontrib><creatorcontrib>Stein, Joshua D., MD, MS</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Ophthalmology (Rochester, Minn.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Newman-Casey, Paula Anne, MD</au><au>Talwar, Nidhi, MS</au><au>Nan, Bin, PhD</au><au>Musch, David C., PhD, MPH</au><au>Stein, Joshua D., MD, MS</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Relationship Between Components of Metabolic Syndrome and Open-Angle Glaucoma</atitle><jtitle>Ophthalmology (Rochester, Minn.)</jtitle><addtitle>Ophthalmology</addtitle><date>2011-07-01</date><risdate>2011</risdate><volume>118</volume><issue>7</issue><spage>1318</spage><epage>1326</epage><pages>1318-1326</pages><issn>0161-6420</issn><eissn>1549-4713</eissn><coden>OPHTDG</coden><abstract>Purpose To determine whether an association exists between various components of metabolic syndrome (diabetes mellitus [DM], systemic arterial hypertension [HTN], hyperlipidemia, and obesity) and open-angle glaucoma (OAG) in a large, diverse group of individuals throughout the United States. Design Longitudinal cohort study. Participants All beneficiaries aged ≥40 years continuously enrolled in a managed care network who had 1 or more visits to an eye care provider during 2001 to 2007 were identified. Methods Billing codes were used to identify individuals with OAG and those with components of metabolic syndrome. Cox regression was used to determine the hazard of developing OAG in enrollees with individual components or combinations of components of metabolic syndrome, with adjustment for sociodemographic factors, systemic medical conditions, and other ocular diseases. Main Outcome Measures Hazard of developing OAG. Results Of the 2 182 315 enrollees who met the inclusion criteria, 55 090 (2.5%) had OAG. After adjustment for confounding factors, those with DM (hazard ratio [HR] = 1.35 [95% confidence interval [CI], 1.21–1.50]) or HTN (HR = 1.17 [95% CI, 1.13–1.22]) alone or in combination (HR = 1.48 [95% CI, 1.39–1.58]) had an increased hazard of developing OAG relative to persons with neither of these conditions. By contrast, persons with hyperlipidemia alone had a 5% decreased hazard of OAG (HR = 0.95 [95% CI, 0.91–0.98]). Comorbid hyperlipidemia attenuated the increased hazard between HTN (HR = 1.09 [95% CI, 1.05–1.12]) or DM (HR = 1.13 [95% CI, 1.05–1.21]) and OAG. Conclusions At a time when the prevalence of metabolic disorders in the United States, is increasing this study furthers our understanding of risk factors associated with OAG and helps identify persons who may be at increased risk for this condition. Financial Disclosure(s) The author(s) have no proprietary or commercial interest in any materials discussed in this article.</abstract><cop>New York, NY</cop><pub>Elsevier Inc</pub><pmid>21481477</pmid><doi>10.1016/j.ophtha.2010.11.022</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record>
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subjects Adult
Aged
Aged, 80 and over
Biological and medical sciences
Cohort Studies
Diabetes Complications
Female
Glaucoma and intraocular pressure
Glaucoma, Open-Angle - etiology
Glaucoma, Open-Angle - physiopathology
Glaucoma, Open-Angle - prevention & control
Humans
Hyperlipidemias - complications
Hypertension - complications
Likelihood Functions
Longitudinal Studies
Male
Medical sciences
Metabolic diseases
Middle Aged
Miscellaneous
Obesity - complications
Ophthalmology
Other metabolic disorders
Proportional Hazards Models
Risk Factors
Severity of Illness Index
Socioeconomic Factors
title The Relationship Between Components of Metabolic Syndrome and Open-Angle Glaucoma
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