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      Patients with Primary Open-Angle Glaucoma May Develop Ischemic Heart Disease More Often than Those without Glaucoma: An 11-Year Population-Based Cohort Study

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          Abstract

          Objectives

          To investigate whether patients with primary open angle glaucoma (POAG) have a higher proportion of ischemic heart disease (IHD) development.

          Design

          A population-based retrospective cohort study, using the National Health Insurance Database (NHID) from 1 st January, 2001, to 31 st December, 2011, in Taiwan.

          Methods

          3510 subjects with POAG were enrolled into the POAG group and 14040 subjects without glaucoma into the comparison group. The comparison group consisted of randomly selected individuals, matched with the POAG group based on age, gender, and index date (date of enrollment) at a ratio of 1:4. The participants of both groups should have no IHD before the index date, and they were followed until the end of 2011 to see whether they had new-onset IHD or not. Kaplan-Meier curves were used to compare the cumulative incidence of IHD between the two groups. Frailty model, a specialized form of Cox regression analysis, was used to estimate the crude and adjusted hazard ratio (HR) of IHD. Analyses were adjusted by age, gender, and systemic comorbidities (i.e. diabetes, hypertension, hyperlipidemia, atrial fibrillation and congestive heart failure).

          Results

          The mean age of the cohort was 57.6±11.0 years. There were slightly more males than females (51.6% vs. 48.4%). A log-rank test comparing Kaplan-Meier curves of the two groups revealed a significantly higher cumulative incidence of IHD in the POAG group ( p-value<0.001). In the univariate analysis by Frailty model, POAG patients had a significantly higher hazard of IHD (unadjusted HR = 2.32; 95% confidence interval 1.93 to 2.79). After adjustment, results remained significant (adjusted HR = 1.41; 95% confidence interval 1.16 to 1.72).

          Conclusion

          People with POAG may suffer from IHD more often than those without glaucoma.

          Related collections

          Most cited references48

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          The impact of ocular blood flow in glaucoma.

          Two principal theories for the pathogenesis of glaucomatous optic neuropathy (GON) have been described--a mechanical and a vascular theory. Both have been defended by various research groups over the past 150 years. According to the mechanical theory, increased intraocular pressure (IOP) causes stretching of the laminar beams and damage to retinal ganglion cell axons. The vascular theory of glaucoma considers GON as a consequence of insufficient blood supply due to either increased IOP or other risk factors reducing ocular blood flow (OBF). A number of conditions such as congenital glaucoma, angle-closure glaucoma or secondary glaucomas clearly show that increased IOP is sufficient to lead to GON. However, a number of observations such as the existence of normal-tension glaucoma cannot be satisfactorily explained by a pressure theory alone. Indeed, the vast majority of published studies dealing with blood flow report a reduced ocular perfusion in glaucoma patients compared with normal subjects. The fact that the reduction of OBF often precedes the damage and blood flow can also be reduced in other parts of the body of glaucoma patients, indicate that the hemodynamic alterations may at least partially be primary. The major cause of this reduction is not atherosclerosis, but rather a vascular dysregulation, leading to both low perfusion pressure and insufficient autoregulation. This in turn may lead to unstable ocular perfusion and thereby to ischemia and reperfusion damage. This review discusses the potential role of OBF in glaucoma and how a disturbance of OBF could increase the optic nerve's sensitivity to IOP.
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            Tobacco use and risk of myocardial infarction in 52 countries in the INTERHEART study: a case-control study.

            Tobacco use is one of the major avoidable causes of cardiovascular diseases. We aimed to assess the risks associated with tobacco use (both smoking and non-smoking) and second hand tobacco smoke (SHS) worldwide. We did a standardised case-control study of acute myocardial infarction (AMI) with 27,089 participants in 52 countries (12,461 cases, 14,637 controls). We assessed relation between risk of AMI and current or former smoking, type of tobacco, amount smoked, effect of smokeless tobacco, and exposure to SHS. We controlled for confounders such as differences in lifestyles between smokers and non-smokers. Current smoking was associated with a greater risk of non-fatal AMI (odds ratio [OR] 2.95, 95% CI 2.77-3.14, p 21 h per week). Young male current smokers had the highest population attributable risk (58.3%; 95% CI 55.0-61.6) and older women the lowest (6.2%, 4.1-9.2). Population attributable risk for exposure to SHS for more than 1 h per week in never smokers was 15.4% (12.1-19.3). Tobacco use is one of the most important causes of AMI globally, especially in men. All forms of tobacco use, including different types of smoking and chewing tobacco and inhalation of SHS, should be discouraged to prevent cardiovascular diseases.
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              Association of overweight with increased risk of coronary heart disease partly independent of blood pressure and cholesterol levels: a meta-analysis of 21 cohort studies including more than 300 000 persons.

              The extent to which moderate overweight (body mass index [BMI], 25.0-29.9 [calculated as weight in kilograms divided by height in meters squared]) and obesity (BMI, >/= 30.0) are associated with increased risk of coronary heart disease (CHD) through adverse effects on blood pressure and cholesterol levels is unclear, as is the risk of CHD that remains after these mediating effects are considered. Relative risks (RRs) of CHD associated with moderate overweight and obesity with and without adjustment for blood pressure and cholesterol concentrations were calculated by the members of a collaboration of prospective cohort studies of healthy, mainly white persons and pooled by means of random-effects models (RRs for categories of BMI in 14 cohorts and for continuous BMI in 21 cohorts; total N = 302 296). A total of 18 000 CHD events occurred during follow-up. The age-, sex-, physical activity-, and smoking-adjusted RRs (95% confidence intervals) for moderate overweight and obesity compared with normal weight were 1.32 (1.24-1.40) and 1.81 (1.56-2.10), respectively. Additional adjustment for blood pressure and cholesterol levels reduced the RR to 1.17 (1.11-1.23) for moderate overweight and to 1.49 (1.32-1.67) for obesity. The RR associated with a 5-unit BMI increment was 1.29 (1.22-1.35) before and 1.16 (1.11-1.21) after adjustment for blood pressure and cholesterol levels. Adverse effects of overweight on blood pressure and cholesterol levels could account for about 45% of the increased risk of CHD. Even for moderate overweight, there is a significant increased risk of CHD independent of these traditional risk factors, although confounding (eg, by dietary factors) cannot be completely ruled out.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                20 September 2016
                2016
                : 11
                : 9
                : e0163210
                Affiliations
                [1 ]School of Medicine, National Yang-Ming University, Taipei, Taiwan
                [2 ]Department of Ophthalmology, National Yang-Ming University Hospital, Yilan, Taiwan
                [3 ]Department of Education and Research, Taipei City Hospital, Taipei, Taiwan
                [4 ]Community Medicine Research Center and Institute of Public Health, National Yang-Ming University, Taipei, Taiwan
                [5 ]Deputy Superintendent, Taipei City Hospital, Taipei, Taiwan
                [6 ]Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan
                [7 ]Institute of Biomedical Science and Rong Hsing Research Center for Translational Medicine, Chung-Hsing University, Taichung, Taiwan
                [8 ]Division of Allergy, Immunology and Rheumatology, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
                [9 ]School of Medicine, Chung-Shan Medical University, Taichung, Taiwan
                [10 ]Department of Medical Education, Taichung Veterans General Hospital, Taichung, Taiwan
                [11 ]Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
                Indiana University, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                • Conceptualization: YYC HYH DC HHC CKC PC.

                • Data curation: YYC.

                • Formal analysis: YYC HYH HHC CKC PC.

                • Investigation: YYC DC CKC PC.

                • Methodology: YYC HYH DC CKC PC.

                • Project administration: YYC DC PC.

                • Resources: YYC HHC.

                • Software: YYC HYH HHC.

                • Supervision: HYH DC CKC PC.

                • Validation: YYC HYH DC CKC PC.

                • Visualization: YYC.

                • Writing – original draft: YYC CKC PC.

                • Writing – review & editing: YYC DC CKC PC.

                Article
                PONE-D-15-47080
                10.1371/journal.pone.0163210
                5029879
                27649414
                e7158473-c85d-433f-b25f-102ec8e6fe0e
                © 2016 Chen et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 27 October 2015
                : 5 September 2016
                Page count
                Figures: 1, Tables: 2, Pages: 12
                Funding
                The authors received no specific funding for this work.
                Categories
                Research Article
                Medicine and Health Sciences
                Ophthalmology
                Eye Diseases
                Glaucoma
                Medicine and Health Sciences
                Vascular Medicine
                Coronary Heart Disease
                Medicine and Health Sciences
                Cardiology
                Coronary Heart Disease
                Medicine and Health Sciences
                Endocrinology
                Endocrine Disorders
                Diabetes Mellitus
                Medicine and Health Sciences
                Metabolic Disorders
                Diabetes Mellitus
                Medicine and Health Sciences
                Diagnostic Medicine
                Signs and Symptoms
                Hyperlipidemia
                Medicine and Health Sciences
                Pathology and Laboratory Medicine
                Signs and Symptoms
                Hyperlipidemia
                Medicine and Health Sciences
                Cardiology
                Heart Failure
                Medicine and Health Sciences
                Cardiology
                Arrhythmia
                Atrial Fibrillation
                Medicine and Health Sciences
                Vascular Medicine
                Blood Pressure
                Hypertension
                People and Places
                Geographical Locations
                Asia
                Taiwan
                Custom metadata
                According to the law restriction of the release of individualized data from the National Health Insurance database, only analytical data in aggregate form are available. Researchers who meet the criteria for access to confidential data may send request to the Collaboration Center of Health Information Application, Ministry of Health and Welfare, Taiwan: stcarolwu@ 123456mohw.gov.tw , address: 4F., No.488, Sec. 6, Zhongxiao E. Rd., Nangang Dist., Taipei City 115, Taiwan.

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                Uncategorized

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