Association Between Platelet Function and Disc Hemorrhage in Patients With Normal-Tension Glaucoma: A Prospective Cross-Sectional Study

Shim, Seong Hee; Kim, Joon Mo; Woo, Hee‐Yeon; Shin, Ko Un; Koh, Jai‐Kyoung; Park, Ki Ho

doi:10.1016/j.ajo.2015.09.006

Cited by 35 publications

(18 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

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%

“…One additional study was included after searching for references. 32 Ultimately, 28 studies, including 13 cross-sectional, 9,32-43 10 cohort or nested case-control, 7,10,44-51 and 5 case-control 8,52-55 studies were included in the present meta-analysis. Of these studies, 18 studies reported on the relationship between hyperlipidemia (hyperlipidemia or hypertriglyceridemia or hypercholesterolemia) and glaucoma, 7,8,32,34-39,44,45,47,48,50- 54 1 on blood highdensity lipoprotein-cholesterol (HDL-c) level and glaucoma, 55 1 on hyperlipidemia and OHT, 42 5 on blood triglyceride level and IOP, 9,10,33,43,46 2 on blood HDL-c level and IOP, 10,43 2 on total cholesterol level and IOP, 43,46 1 on low-density lipoprotein-cholesterol (LDL-C), 43 and 3 on hyperlipidemia and IOP.…”

Section: Literature Searchmentioning

confidence: 99%

See 1 more Smart Citation

Hyperlipidemia, Blood Lipid Level, and the Risk of Glaucoma: A Meta-Analysis

Wang

Bao

2019

Invest. Ophthalmol. Vis. Sci.

View full text Add to dashboard Cite

PURPOSE. Previous studies reported that hyperlipidemia and blood lipid levels were associated with glaucoma, ocular hypertension (OHT), and intraocular pressure (IOP). However, studies aimed at investigating this association have yielded conflicting results. Therefore, to shed light on these inconclusive findings, we performed multiple distinct meta-analyses to clarify the association of hyperlipidemia and blood lipid levels with glaucoma, OHT, and IOP. METHODS. A systematic literature search from Embase, Web of Science, and PubMed was performed to identify relevant studies. To assess the association between hyperlipidemia and glaucoma, we used the pooled odds ratio (OR) with 95% confidence interval (CI). When we assessed the association between blood lipid levels and IOP levels, the pooled mean difference in IOP associated with a 10 mg/dL increase in the blood lipid level was estimated. The pooled difference in IOP was also estimated between patients with and without hyperlipidemia. All the papers that assessed the correlation between hyperlipidemia and glaucoma, between blood lipid levels and IOP levels, and between hyperlipidemia and IOP were included in this meta-analysis. RESULTS. We detected a marked association between hyperlipidemia and glaucoma (OR ¼ 1.37; 95% CI ¼ 1.16-1.61), with significant heterogeneity among studies. However, hyperlipidemia was not significantly associated with glaucoma in our analysis of only crosssectional studies, studies that reported only on hypercholesterolemia patients, studies that were conducted only in North America and Europe, or studies in which normal-tension glaucoma (NTG) patients were included only in the subgroup analyses. The pooled results showed that an increase of 10 mg/dL in blood triglyceride levels would increase the IOP by 0.016 mm Hg (95% CI ¼ 0.009-0.024), with evident heterogeneity between studies (P < 0.001; I 2 ¼ 92.0%). The pooled results showed that the blood total cholesterol and lowdensity lipoprotein-cholesterol (LDL-c) level both had a significant association with IOP. When compared to the patients with nonhyperlipidemia, those with hyperlipidemia had a significantly higher IOP of 0.51 mm Hg (95% CI ¼ 0.18-0.83) (P ¼ 0.001 for heterogeneity; I 2 ¼ 81.6%). CONCLUSIONS. The evidence suggests that hyperlipidemia is significantly associated with an increased risk of glaucoma and that hyperlipidemia and the increased blood lipid levels are associated with increased IOP.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Literature Searchmentioning

confidence: 99%

Hyperlipidemia, Blood Lipid Level, and the Risk of Glaucoma: A Meta-Analysis

Wang

Bao

2019

Invest. Ophthalmol. Vis. Sci.

View full text Add to dashboard Cite

show abstract

“…24 In addition, platelet function has been shown to be associated with disc hemorrhage in patients with NTG because delayed platelet aggregation can cause prolonged bleeding, delaying absorption. 25 Thus, the occurrence of disc hemorrhage is a significant risk factor for glaucoma progression, whereas migraine, low OPP, and reduced platelet function are also related. In contrast, disc hemorrhage is also significantly associated with retinal blood vessel positional shift but not functional change, 26 suggesting that both vascular and mechanical factors are related to the presence of disc hemorrhage.…”

Section: Disc Hemorrhagementioning

confidence: 99%

Ocular Blood Flow and Influencing Factors for Glaucoma

Nakazawa

2016

Asia-Pacific Journal of Ophthalmology

102

View full text Add to dashboard Cite

Open-angle glaucoma (OAG) is characterized by optic nerve fiber atrophy and deterioration of the visual field, corresponding to damage to the optic nerve head. Intraocular pressure (IOP) is currently the only evidence-based, treatable risk factor for OAG. However, normal-tension glaucoma, the most common type of OAG in Asia, is a type of glaucoma with an unclear pathogenesis. Glaucoma is suspected to be a multifactorial disease with IOP-dependent and IOP-independent risk factors, including decreased ocular blood flow (OBF), oxidative stress, decreased axoplasmic flow, and genetic background. A number of epidemiological studies have generated strong evidence that OBF may be an especially important risk factor for the progression of glaucoma. Recent innovations in laser speckle flowgraphy and optical coherence tomography-based angiography have allowed us to noninvasively monitor changes in the microcirculation of the optic nerve head with high reproducibility. Laser speckle flowgraphy-derived measurement parameters include mean blur rate and pulse wave form parameters, whereas the main optical coherence tomography angiography-derived parameter is the vessel index. Decreases in these parameters are associated with the severity of glaucomatous damage, and changes are detectible even in the earliest, preperimetric stage of glaucoma. In the future, OBF analysis may improve significantly because of continuing progress in the development of the relevant instruments. This review will summarize possible connections between systemic and OBF abnormalities and OAG, describe the scientific rationale for these connections, and discuss their potential implications. Thus, this review will summarize the role of OBF in glaucoma pathogenesis and discuss the wide range of IOP-independent risk factors.

show abstract

“…Platelets indeed seem to play a role in this process. However, the primary risk factor for disc hemorrhages in these experiments was found to be delayed – instead of increased – platelet aggregation 22. A possible cause of platelet hyper-reactivity in patients with glaucoma may involve the pigment epithelium-derived factor (PEDF).…”

Section: Discussionmentioning

confidence: 85%

“…It has been postulated that microcirculatory defects, such as vasoconstriction and retention of blood, damage endothelial cells, leading to sub-endothelial collagen exposure which triggers platelet aggregation, subsequently causing ischemic injury of the optic nerve 12,16,20. The Ocular Hypertension Treatment Study demonstrated that occurrence of disc hemorrhage predisposes to the development of POAG,21 while later Shim et al22 claimed that micro-infarctions within the optic nerve head and retinal circulatory disorders may be the cause of disc hemorrhages in patients with normal-tension glaucoma 9,22–24. Platelets indeed seem to play a role in this process.…”

Section: Discussionmentioning

confidence: 99%

Anti-platelet effects of anti-glaucomatous eye drops: an in vitro study on human platelets

Moschos

Moustafa

Papakonstantinou

et al. 2017

DDDT

View full text Add to dashboard Cite

PurposeAltered platelet aggregability has been implicated in the pathogenesis of glaucoma. This study aims to investigate the anti-platelet potential of intraocular pressure lowering drops, with the possibility of establishing it as an additional mechanism of anti-glaucomatous action.Materials and methodsThe anti-aggregating effects of a series of anti-glaucomatous eye drops were determined on human platelets in the platelet aggregation model, using four known aggregating factors (platelet activating factor [PAF], adenosine diphosphate [ADP], thrombin receptor-activating peptide [TRAP], and arachidonic acid [AA]).ResultsAlmost all of the tested samples inhibited platelet aggregation induced by PAF, ADP, TRAP, and AA, except for Alphagan, which did not demonstrate inhibition of ADP- and TRAP-induced aggregation at a wide range of concentrations. Trusopt, Betoptic, and Azarga eye drops were the most potent inhibitors of all four aggregating factors, while Alphagan was the least potent (P<0.05).ConclusionThis study shows that anti-glaucomatous eye drops possess anti-platelet effects, and this was shown for the first time by experimenting on human platelets.

show abstract

Association Between Platelet Function and Disc Hemorrhage in Patients With Normal-Tension Glaucoma: A Prospective Cross-Sectional Study

Cited by 35 publications

References 45 publications

Hyperlipidemia, Blood Lipid Level, and the Risk of Glaucoma: A Meta-Analysis

Hyperlipidemia, Blood Lipid Level, and the Risk of Glaucoma: A Meta-Analysis

Ocular Blood Flow and Influencing Factors for Glaucoma

Anti-platelet effects of anti-glaucomatous eye drops: an in vitro study on human platelets

Contact Info

Product

Resources

About