2016
DOI: 10.1371/journal.pone.0163210
|View full text |Cite
|
Sign up to set email alerts
|

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

Abstract: ObjectivesTo investigate whether patients with primary open angle glaucoma (POAG) have a higher proportion of ischemic heart disease (IHD) development.DesignA population-based retrospective cohort study, using the National Health Insurance Database (NHID) from 1st January, 2001, to 31st December, 2011, in Taiwan.Methods3510 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 … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4

Citation Types

2
25
1
1

Year Published

2017
2017
2024
2024

Publication Types

Select...
6
2
1

Relationship

0
9

Authors

Journals

citations
Cited by 38 publications
(29 citation statements)
references
References 55 publications
2
25
1
1
Order By: Relevance
“…Meta-regression also failed to distinguish the exact source of the heterogeneity. Several factors, such as different characteristics of the populations, different quality of the included studies, different methods used to ascertain outcomes and exposure, different sample 44 Age, sex Chen (2005) 9 Age, SBP, DBP, glucose Motsko (2008) 54 Age, sex Lin (2010) 8 Age, gender, monthly income, and level of urbanization of the community in which the patient resided Lin (2010) 45 Age, sex Imai (2010) 42 Age, maximum temperature, increased abdominal circumference, elevated fasting glucose level, BP Ishikawa (2011) 52 Age, sex, DBP, IOP, and ocular perfusion pressure Newman-Casey (2011) 7 Age, sex, race, education level, household net worth, region of residence at the time of enrollment in the medical plan, cataract, pseudophakia or aphakia, macular degeneration, diabetic retinopathy, systemic hypotension, sleep apnea, and migraine headache Lee (2012) 46 Age, sex, SBP Lin (2012) 33 Age, sex, BMI, waist, SBP, DBP, fasting sugar, and postprandial sugar Kim (2014) 34 Age, sex, impaired glucose tolerance, hypertension, and baseline IOP Aptel (2014) 47 Age, sex, BMI, hypertension, and thyroid dysfunction Kim (2014) 43 Age, sex Chung (2014) 53 Age, sex Kim (2014) 55 Age, sex, myopia, fasting blood glucose Chen (2014) 48 Age, sex, hypertension, diabetes, CAD, and obstructive sleep apnea Sahinoglu-Keskek (2014) 41 Age Fujiwara (2015) 49 Age, sex, SBP, diabetes, cholesterol, HDLcholesterol, BMI, waist circumference, smoking habits, alcohol intake, and regular exercise Shim (2015) 32 Age, sex Chen (2016) 50 Age, sex Chen (2016) 51 Age, gender, and comorbidities of diabetes, hypertension, and CAD Ko (2016) 35 Age, gender, ethnicity, education, insurance, diabetes duration, BMI, hypertension, obstructive sleep apnea, and current smoker Kim (2016) 36 Age, sex, IOP, household income, exercise, education level, smoking status, alcohol consumption, and BMI Yokomichi (2016) 10 Age, sex, SBP, DBP, fasting plasma glucose Rim (2017) 37 Age, sex, hypertension, DM, chronic renal failure, atrial fibrillation, residence, income Lee (2017) 38 Age, sex, hypertension, DM, congestive heart failure, ischemic heart disease, atrial fibrillat...…”
Section: Discussionmentioning
confidence: 99%
“…Meta-regression also failed to distinguish the exact source of the heterogeneity. Several factors, such as different characteristics of the populations, different quality of the included studies, different methods used to ascertain outcomes and exposure, different sample 44 Age, sex Chen (2005) 9 Age, SBP, DBP, glucose Motsko (2008) 54 Age, sex Lin (2010) 8 Age, gender, monthly income, and level of urbanization of the community in which the patient resided Lin (2010) 45 Age, sex Imai (2010) 42 Age, maximum temperature, increased abdominal circumference, elevated fasting glucose level, BP Ishikawa (2011) 52 Age, sex, DBP, IOP, and ocular perfusion pressure Newman-Casey (2011) 7 Age, sex, race, education level, household net worth, region of residence at the time of enrollment in the medical plan, cataract, pseudophakia or aphakia, macular degeneration, diabetic retinopathy, systemic hypotension, sleep apnea, and migraine headache Lee (2012) 46 Age, sex, SBP Lin (2012) 33 Age, sex, BMI, waist, SBP, DBP, fasting sugar, and postprandial sugar Kim (2014) 34 Age, sex, impaired glucose tolerance, hypertension, and baseline IOP Aptel (2014) 47 Age, sex, BMI, hypertension, and thyroid dysfunction Kim (2014) 43 Age, sex Chung (2014) 53 Age, sex Kim (2014) 55 Age, sex, myopia, fasting blood glucose Chen (2014) 48 Age, sex, hypertension, diabetes, CAD, and obstructive sleep apnea Sahinoglu-Keskek (2014) 41 Age Fujiwara (2015) 49 Age, sex, SBP, diabetes, cholesterol, HDLcholesterol, BMI, waist circumference, smoking habits, alcohol intake, and regular exercise Shim (2015) 32 Age, sex Chen (2016) 50 Age, sex Chen (2016) 51 Age, gender, and comorbidities of diabetes, hypertension, and CAD Ko (2016) 35 Age, gender, ethnicity, education, insurance, diabetes duration, BMI, hypertension, obstructive sleep apnea, and current smoker Kim (2016) 36 Age, sex, IOP, household income, exercise, education level, smoking status, alcohol consumption, and BMI Yokomichi (2016) 10 Age, sex, SBP, DBP, fasting plasma glucose Rim (2017) 37 Age, sex, hypertension, DM, chronic renal failure, atrial fibrillation, residence, income Lee (2017) 38 Age, sex, hypertension, DM, congestive heart failure, ischemic heart disease, atrial fibrillat...…”
Section: Discussionmentioning
confidence: 99%
“…A population-based retrospective cohort study of 3510 patients with POAG from 2001 to 2011 in Taiwan demonstrated a significant association between POAG and ischaemic heart disease (aHR 1.41, 95% CI 1.16 to 1.72). 37 In addition, atherosclerotic events are risk factors for renal failure. 38 Our results demonstrated that the POAG group had a higher risk of ARF and ESRD than the WODs group.…”
Section: Discussionmentioning
confidence: 99%
“…38 Likewise, ischemic heart disease is linked with glaucoma probably affect vasculature dysfunction. 39 Furthermore, many factors contribute to peptic ulcer including glaucoma 40 is another likely reason that may contribute to the positive association. In contrast, hypertension and its drug were identi ed as the risk factors leading to non-GS.…”
Section: Discussionmentioning
confidence: 99%