Correlation between glaucoma and vascular factors, and circumstances leading to the diagnosis of glaucoma

Bonomi, L.; Babighian, Silvia; Bonadimani, M.; Perfetti, Sergio; Brusini, Paolo; Bernardi, Paolo; Coser, S.; Concini, M.; Cumer, P.; Pedrotti, M.; Totolo, G.; Carli, Maria Eduardade Souza

doi:10.1111/j.1600-0420.2000.tb01091.x

Cited by 10 publications

(8 citation statements)

References 5 publications

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“…Several studies have suggested an association between vascular factors and glaucoma (Bill 1975;Bulpitt et al 1975;Drance et al 1988;Hamard et al 1992Hamard et al , 1994Flammer 1994;Bonomi et al 2000a;Harris et al 2005;Wong & Mitchell 2007). Accordingly, hypo-perfusion of the optic nerve head (ONH) could contribute to glaucomatous damage (Leske 2009).…”

Section: Definitionsmentioning

confidence: 99%

Ocular perfusion pressure in glaucoma

Costa

Harris

Anderson³

et al. 2013

Acta Ophthalmologica

200

134

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ABSTRACT. This review article discusses the relationship between ocular perfusion pressure and glaucoma, including its definition, factors that influence its calculation and epidemiological studies investigating the influence of ocular perfusion pressure on the prevalence, incidence and progression of glaucoma. We also list the possible mechanisms behind this association, and discuss whether it is secondary to changes in intraocular pressure, blood pressure or both. Finally, we describe the circadian variation of ocular perfusion pressure and the effects of systemic and topical medications on it. We believe that the balance between IOP and BP, influenced by the autoregulatory capacity of the eye, is part of what determines whether an individual will develop optic nerve damage. However, prospective, longitudinal studies are needed to better define the role of ocular perfusion pressure in the development and progression of glaucoma.

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Section: Definitionsmentioning

confidence: 99%

Ocular perfusion pressure in glaucoma

Costa

Harris

Anderson³

et al. 2013

Acta Ophthalmologica

200

134

View full text Add to dashboard Cite

show abstract

“…There was no such correlation in the control group. In the study [1] strong positive correlation between the arterial and intraocular pressure was found. Moreover, besides the correlation between the pulsation flow parameters and the intraocular pressure, the correlation between parameters characteristic for visual area disorders and the average thickness layers of neurofibrils were found, which showed that besides reduction, the blood flow instability also affects the development of glaucoma's neuropathy [12,23].…”

Section: Resultsmentioning

confidence: 68%

Aggregation and deformability of erythrocytes in primary open-angle glaucoma (POAG); the assessment of arterial hypertension

Michalska-Małecka¹,

Słowińska-Łożyńska²

2012

Clinical Hemorheology and Microcirculation

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Primary open-angle glaucoma (POAG) is one of the most common types of glaucoma. Glaucoma is a progressive neuropathy of the optic nerve with characteristic visual area disorders. The aim of this study was to assess the correlations between rheological parameters of blood and other parameters such as: intraocular pressure, visual acuity, angular breadth of the aqueous fluid eluvium, visual area and arterial hypertension. The examined group was comprised of 54 patients with POAG. Out of this group two subgroups was separated: I subgroup of 24 patients without hypertensive and II subgroup of 30 patients with chronic hypertensive disease. The control group was comprised of 40 healthy subjects. Erythrocyte aggregation and deformability analysis were determined using LORCA. From the results we concluded that rheological disorders such as enhanced erythrocyte aggregation or significantly decreased erythrocyte deformability occur in patients with POAG. Additionally, it revealed a significant relation between the duration of hypertension and an increased erythrocyte aggregation index (r = +0.27 p < 0.005) along with decreased deformability (r = −0.37 p < 0.001), where the decrease in deformability correlated with the severity of hypertonic retinal angiopathy (r = −0.30 p < 0.05). All these disorders may result in decreased blood flow to the optic nerve, which contributes towards the development of neuropathy.

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“…Ophthalmic Res 2024;67:29-38 DOI: 10.1159/000535879 duration. Vascular factors previously found to be associated with glaucoma, such as hypertension, diabetes, cardiovascular disease, and hyperlipidemia, were not predictive of glaucoma progression [24][25][26].…”

Section: Prediction Of Glaucoma Based On Systemic Findingsmentioning

confidence: 82%

Glaucoma Prediction Models Based on Ocular and Systemic Findings

Landau Prat,

Kapelushnik,

Arazi

et al. 2023

Ophthalmic Res

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Introduction: Our aim was to explore the impact of various systemic and ocular findings on predicting the development of glaucoma. Methods: Medical records of 37,692 consecutive patients examined at a single medical center between 2001-2020 were analyzed using machine learning algorithms. Systemic and ocular features were included. Univariate and multivariate analyses followed by Cat Boost and Light Gradient-Boosting Machine (GBM) prediction models were performed. Main outcome measures were systemic and ocular features associated with progression to glaucoma. Results: 7,880 patients (mean age 54.7±12.6 years, 5520 males [70.1%]) were included in a 3-year prediction model, 314 patients (3.98%) had a final diagnosis of glaucoma. The combined model included 185 systemic and 42 ocular findings, and reached a ROC AUC of 0.84. The associated features were: intraocular pressure (48.6%), cup-to-disc ratio (22.7%), age (8.6%), mean corpuscle volume (MCV) of red blood cells (RBC) trend (5.2%), urinary system disease (3.3%), MCV (2.6%), creatinine level trend (2.1%), monocyte count trend (1.7%), ergometry metabolic equivalent task score (1.7%), dyslipidemia duration (1.6%), prostate-specific antigen level (1.2%), and musculoskeletal disease duration (0.5%). The ocular prediction model reached a ROC AUC of 0.86. Additional features included were: age-related macular degeneration (10.0%), anterior capsular cataract (3.3%), visual acuity (2.0%), and peripapillary atrophy (1.3%). Conclusions: Ocular and combined systemic-ocular models can strongly predict the development of glaucoma in the forthcoming 3 years. Novel progression indicators may include anterior subcapsular cataracts, urinary disorders, and complete blood test results (mainly increased MCV and monocyte count).

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Correlation between glaucoma and vascular factors, and circumstances leading to the diagnosis of glaucoma

Cited by 10 publications

References 5 publications

Ocular perfusion pressure in glaucoma

Ocular perfusion pressure in glaucoma

Aggregation and deformability of erythrocytes in primary open-angle glaucoma (POAG); the assessment of arterial hypertension

Glaucoma Prediction Models Based on Ocular and Systemic Findings

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