- •Ocular Blood Flow
- •Contents
- •1: Anatomy of the Ocular Vasculatures
- •Core Messages
- •1.1 Limbus and Conjunctiva
- •1.1.1 Cornea
- •1.1.2 Vasculature Distribution in the Anterior Segment
- •1.1.3 The Conjunctiva
- •1.1.3.1 The Conjunctival Arterial Supply
- •1.1.3.2 The Conjunctival Veins
- •1.2 Uveal Tract
- •1.2.1 The Iris
- •1.2.1.1 The Major Arterial Circle of the Iris
- •1.2.2 Ciliary Body and Processes
- •1.2.3 Choroid and Suprachoroid
- •1.2.3.1 Development of the Choroidal Vasculature
- •1.2.3.2 Arteries
- •1.2.3.3 Choroidal Veins (Vortex Veins)
- •1.2.3.4 Choriocapillaris
- •1.3 Optic Nerve Vasculature
- •1.4 Retina
- •1.4.1 Development of the Retinal Vasculature
- •1.4.2 Adult Retinal Vasculature
- •1.4.3 Nonprimate Adult Retinal Vasculatures
- •1.5 Conclusions
- •References
- •Core Messages
- •2.1 Introduction
- •2.3 Stochastic Error in the Entrapment of Microspheres
- •2.4 Methodological Errors and Practical Advice
- •2.4.1 Size of the Microspheres
- •2.4.2 Physical Characteristics of Microspheres
- •2.4.4 Dissection
- •2.4.5 Detection of RM and NAM
- •2.4.6 Detection of CM and FM
- •2.5 Biological Variation
- •2.5.1 Blood Pressure
- •2.5.3 Arterial Blood Gases
- •2.5.4 Other Possible Causes for Biological Variability
- •2.6 Summary for the Clinician
- •References
- •3: Laser Doppler Flowmetry in Animals
- •Core Messages
- •3.1 Introduction
- •3.2 History
- •3.3 Theory
- •3.4 Validation
- •3.5 Calibration
- •3.6 Zero Offset
- •3.7 Effects of Oxygen
- •3.9 Measurement Depth and Sampling Volume
- •3.10 Caveats
- •References
- •4: Oxygen Measurements in Animals
- •Core Messages
- •4.1 Introduction
- •4.2.1 Oxygen Electrodes
- •4.2.2 Hypoxyprobe
- •4.2.3 Magnetic Resonance Imaging
- •4.2.4 Phosphorescence Decay
- •4.2.5 Oximetry
- •4.3.1 Vitreal Oxygen
- •4.3.2 Intraretinal Oxygen
- •4.4 Oxygen in Avascular Retinas
- •4.5 Analysis of Retinal Oxygen Utilization
- •4.5.1 Fick Principle Analyses
- •4.5.4 Other Diffusion Models
- •4.6 Physiological Variations in Retinal Oxygen
- •4.6.1 Light
- •4.6.2 Hypoxia
- •4.6.3 Hyperoxia
- •4.6.4 Hypercapnia
- •4.7 Pathophysiology and Retinal Oxygen
- •4.7.1 Vascular Occlusion
- •4.7.2 Diabetes
- •4.7.3 Retinal Detachment
- •4.7.4 Retinal Degenerative Diseases
- •4.7.5 Retinopathy of Prematurity
- •4.8 Retinal Molecular Changes Related to Oxygen
- •4.9 Oxygen in the Optic Nerve Head
- •References
- •Core Messages
- •5.1 Measuring Technique
- •5.2 Normal Values
- •5.3 Retinal Pathologies
- •5.3.1 Diabetes Mellitus
- •5.3.2 Central Retinal Vein Occlusion
- •5.4 Summary
- •References
- •Core Messages
- •6.1 Introduction
- •6.1.1 Anatomy
- •6.3 Vessel Diameter Measurements Based on Photographic and Digitally Stored Images
- •6.3.1 Basics for Measurements on Stored Images
- •6.3.1.1 Measuring Principle
- •6.3.1.4 Problems and Measuring Errors
- •6.3.1.5 Physiological Variability of Vessel Diameter
- •6.3.2 Methods
- •6.3.2.2 Microdensitometry Based on Photographic Negatives
- •6.3.2.3 Measurements Based on Digital Images
- •6.4 Diameter Assessment for Blood Flow
- •6.4.1 Assessment of Flow by Use of Doppler Technique (CLBF)
- •6.5 Retinal Vessel Analysis
- •6.5.1 Basics of Retinal Vessel Analysis
- •6.5.2 Static Vessel Analysis
- •6.5.3 Results and Limits of Static Vessel Analysis
- •6.5.4 Results and Limits of Dynamic Vessel Analysis
- •6.5.4.1 Stimulation with Flicker Light
- •6.5.4.2 Other Provocation Tests
- •6.5.5 Systems Available for Dynamic Vessel Analysis
- •6.6 Further Perspectives
- •References
- •Core Messages
- •7.1 Introduction
- •7.2 Retinal Laser Doppler Velocimetry
- •7.2.1 The Doppler Effect
- •7.2.2 Electric Field Scattered by Singly Scattering Particles Moving in a Capillary Tube
- •7.2.5 Experimental Test of the Bidirectional LDV Technique
- •7.2.7 The DSPS for RBCs Moving in a Retinal Vessel
- •7.2.7.1 Multiple Scattering of Blood
- •7.2.7.2 DSPS from RBCs Flowing in a Glass Capillary Tube
- •7.2.7.3 DSPS from Human Retinal Vessels
- •7.2.7.4 Exploring the Scattering Process
- •7.2.9 Instrumentation
- •7.2.10 Blood Flow in Retinal Vessels
- •7.2.12 Limitations, Safety, and Future Directions of the LDV Technique
- •7.2.13 Physiologic and Clinical Applications (Brief Overview)
- •7.3.1 The DSPS for RBCs Moving in the Microvascular Bed of a Tissue
- •7.3.2 Hemodynamic Parameters Derived from the DSPS
- •7.3.3 Detection Scheme for Optic Nerve and Subfoveal Choroidal Blood Flow
- •7.3.4 Critical Questions Regarding the Application of LDF to Ocular Blood Flow
- •7.3.4.1 LDF Sample Volume
- •7.3.4.2 Linearity of LDF
- •7.3.4.3 Scattering Scheme
- •7.3.5 Reproducibility of LDF
- •7.3.6 Applications of LDF
- •7.4 Summary for the Clinician
- •References
- •8: Color Doppler Imaging
- •Core Messages
- •8.1 Principles
- •8.2 Instrumentation
- •8.3 Procedure
- •8.4 Outcome Variables
- •8.5 Reproducibility
- •8.6 Physiological and Pharmacological Stimuli
- •8.7 Results in Patients with Disease
- •8.8 Advantages and Limitations
- •References
- •9: Other Approaches
- •Core Messages
- •9.1 Blue Field Entoptic Technique
- •9.1.1 Laser Speckle Technique
- •9.1.2 Pulsatile Ocular Blood Flow
- •9.1.2.1 Laser Interferometry
- •References
- •10: Systemic Determinants
- •Core Messages
- •10.1 Introduction
- •10.1.1 Ocular and Systemic Blood Flow
- •10.2 Local Skin Cooling Effect
- •10.2.1 Choroidal Blood Flow
- •10.2.2 Retinal Blood Flow
- •10.3 Aerobic Exercise
- •10.3.1 Choroidal Blood Flow
- •10.3.2 Macular Blood Flow
- •10.3.3 Retinal Blood Flow
- •10.4 Neural Activation
- •10.4.1 Valsalva Maneuver
- •10.4.2 Nicotine
- •10.5 Blood Pressure Versus Ocular Perfusion Pressure
- •10.5.1 Increased Ocular Perfusion Pressure
- •10.5.1.1 Choroidal Blood Flow
- •10.5.2 Decreased Ocular Perfusion Pressure
- •10.5.2.1 Choroidal Blood Flow
- •10.5.2.2 Optic Nerve Head Blood Flow
- •10.5.3 Neural Retinal Function
- •10.6 Blood Gases
- •10.6.1 Hyperoxia and Blood Flow
- •10.6.3 Hypoxia and Pulsatile Choroidal Blood Flow
- •10.6.4 Hyperoxia, Hypercapnia, and Retinal Function
- •10.6.5 Hypoxia, Hyperoxia, and Retinal Function
- •10.7 Regional Choroidal Perfusion
- •10.7.1 Cones Versus Rods: Structure and Function
- •10.7.2 Choroidal Angioarchitecture
- •10.7.3 Dark Adaptation
- •10.7.4 Protracted Blue Flicker
- •10.8 Aging
- •10.8.1 Structure
- •10.8.2 Blood Flow
- •10.8.3 Retinal Function
- •References
- •11: Local Determinants
- •Core Messages
- •11.1 Introduction
- •11.2 Ocular Perfusion Pressure, IOP, and the Ocular Starling Resistor Effect
- •11.3 Types of Local Control
- •11.3.1 Myogenic Local Control
- •11.3.2 Metabolic Local Control
- •11.3.3 Flow-Mediated Vasodilation
- •11.3.4 Flow Control by Intercellular Conduction
- •11.4 Ocular Local Control
- •11.4.1 Optic Nerve Head (ONH)
- •11.4.2 Choroid
- •11.4.3 Retina
- •11.4.4 Ciliary Body
- •11.4.5 Iris
- •11.5 Caveats
- •11.6 Summary for the Clinician
- •References
- •12: Neural Control of Ocular Blood Flow
- •Core Messages
- •12.1 Overview of Ocular Blood Supplies and Their Neural Control
- •12.2 Neural Control of Optic Nerve and Retinal Blood Flow
- •12.3 Neural Control of Iridial and Ciliary Body Blood Flow
- •12.4 Neural Control of Blood Flow in Orbital Glands
- •12.5 Neural Control of Choroidal Blood Flow
- •12.5.1 Importance of the Choroid
- •12.5.2 Choroidal Innervation: Overview of Anatomy
- •12.5.3 Facial Nucleus Parasympathetic Input
- •12.5.3.4 Choroidal Autoregulation and the PPG Input to Choroid – Mammals
- •12.5.3.8 Choroidal Autoregulation and the PPG Input to Choroid – Birds
- •12.5.4 Oculomotor Nucleus Parasympathetic Input
- •12.5.4.1 Ciliary Ganglion Circuitry – Mammals
- •12.5.4.2 Function of the EW-Ciliary Ganglion Circuit – Mammals
- •12.5.4.3 Ciliary Ganglion Circuitry – Birds
- •12.5.4.4 Function of vSCN-EWM-Ciliary Ganglion Circuit – Birds
- •12.5.5 Sympathetic Superior Cervical Ganglion Input
- •12.5.6 Trigeminal Sensory Input
- •12.5.7 Intrinsic Choroidal Neurons
- •12.5.8 Disturbed Neural Control of Choroidal Blood Flow in Aging and Retinal Disease
- •12.5.8.1 Effect of Aging on Retina and Choroid
- •12.5.8.2 Effect of Disease on Retina and Choroid
- •References
- •13: Endothelial and Adrenergic Control
- •Core Messages
- •13.1 Nitric Oxide
- •13.2 Endothelins
- •13.3 Arachidonic Acid Metabolites
- •13.4 Adrenergic Control
- •13.5 Alpha Receptors
- •13.6 Topical Administration
- •13.6.1 Clonidine
- •13.6.2 Brimonidine
- •13.6.3 Beta Receptors
- •13.6.4 Timolol
- •13.6.5 Human Studies
- •13.6.6 Betaxolol
- •13.6.7 Human Studies
- •13.6.8 Levobunolol
- •13.6.9 Carteolol
- •13.6.10 Serotonin
- •13.7 Carbonic Anhydrase Inhibitors
- •13.8 Acetazolamide
- •13.9 Dorzolamide
- •13.10 Retrobulbar Blood Flow
- •13.11 Retinal Blood Flow
- •13.12 Choroidal and Optic Nerve Head Blood Flow
- •13.13 Brinzolamide
- •References
- •Core Messages
- •14.1 Introduction
- •14.2 Retinal Ischemia Basic Mechanisms
- •14.3 Oxidative Stress
- •14.6 Animal Studies Relating Ischemia, Glaucoma, and Neuroprotection
- •14.6.1 Retinal Ischemia
- •14.6.6 Role of Mitochondria (Fig. 14.6)
- •References
- •Core Messages
- •15.1 Introduction
- •15.2 Retinal Blood Flow in Diabetes
- •15.3 Retinal Hypoperfusion
- •15.3.1 Mechanisms of Hypoperfusion
- •15.3.1.1 Glycaemic Control
- •15.3.1.2 Protein Kinase C
- •15.3.1.3 Ion Channel Dysfunction
- •15.4 Retinal Hyperperfusion
- •15.4.1 Mechanisms of Hyperperfusion: A Link to Hypoperfusion, Tissue Hypoxia and Retinal Leukostasis?
- •15.4.2 Retinal Autoregulation in Diabetes
- •15.5.1 Basement Membrane Thickening
- •15.5.3 Microaneurysms
- •15.5.4 Capillary Acellularity
- •15.6 Retinal Blood Flow and Vision Loss in Diabetic Retinopathy
- •15.6.1 Diabetic Macular Oedema
- •15.6.2 Proliferative Diabetic Retinopathy
- •15.7 Conclusions
- •15.8 Summary for the Clinician
- •References
- •Core Messages
- •16.1 Introduction
- •16.2 Choroidal Blood Flow
- •16.3 Systemic Vascular Factors and AMD
- •16.5 Choroidal Hemodynamic Changes in AMD
- •16.5.1 Choroidal Histopathological Vascular Changes in AMD
- •16.5.1.1 Choriocapillaris and Bruch’s Membrane in Aging and AMD
- •16.5.2 Choroidal Microcirculation in AMD
- •16.5.2.2 Choroidal Watershed Zones and Neovascularization
- •16.5.2.3 Laser Doppler Flowmetry Evaluation
- •References
- •Core Messages
- •17.1 Introduction
- •17.2 Potential Mechanisms of Ischaemic Damage in Glaucoma
- •17.2.2 Autoregulatory Disturbances
- •17.2.3 Mechanical Compression or Collapse of Vessels
- •17.2.4 Atherosclerosis
- •17.2.5 Vascular Endothelial Factors
- •17.2.6 Barriers to Nutrient Delivery
- •17.2.7 Circulating Vasoconstrictors
- •17.3 Evidence Base Supporting the Importance of Ischaemia in Glaucoma
- •17.3.1 Association and Causality
- •17.3.1.1 Reduction in Optic Nerve Head Blood Flow
- •17.3.1.2 Blood Pressure, Intraocular Pressure and Perfusion Pressure
- •17.3.1.3 Nocturnal Hypotension
- •17.3.1.4 Vasospasm
- •17.3.1.5 Endothelin and Other Circulating Peptides
- •17.3.2 Effects of Treatment
- •17.3.2.1 Calcium Channel Blockers
- •17.3.2.2 Topical Adrenergic Antagonists
- •17.3.2.4 Prostaglandin Analogues
- •17.4 Experimental Models of Ischaemia Relating to Glaucoma
- •17.4.1 Acute Ischaemia
- •17.4.2 Chronic Ischaemia
- •17.5 Summary
- •17.5.1 Diversity of Evidence
- •17.5.2 Evidence Base Compared to Intraocular Pressure
- •17.5.3 Requirements to Strengthen Evidence Base
- •References
- •Core Messages
- •18.1 Retinal Diseases
- •18.2 Uveitis
- •18.3 Optic Nerve Disorders
- •18.4 Systemic Diseases
- •References
- •Core Messages
- •19.1 Atherosclerosis
- •19.1.1 Pathogenesis of Atherosclerosis
- •19.1.2 Internal Carotid Artery Disease (ICA)
- •19.1.3 Effects on the Ocular Circulation
- •19.1.3.1 Retinal Artery Occlusion
- •Clinical Characteristics
- •Diagnosis
- •Mortality/Morbidity
- •19.1.3.2 Retinal Vein Occlusion (RVO)
- •Clinical Characteristics
- •Pathogenesis
- •Diagnosis
- •19.1.3.3 Ischemic Optic Neuropathy
- •Clinical Characteristics
- •Mortality/Morbidity
- •19.1.3.4 Asymptomatic Retinal Emboli
- •Background
- •Pathophysiology
- •19.2 Vasculitis
- •19.2.1 Takayasu’s Arteritis (Aortic Arch Syndrome)
- •19.2.1.1 Pathophysiology
- •19.2.1.2 Clinical Characteristics
- •19.2.1.3 Epidemiology
- •19.2.2 Behcet’s Disease
- •19.2.2.1 Clinical Characteristics
- •19.2.2.2 Pathogenesis
- •19.2.2.3 Diagnosis
- •19.2.2.4 Epidemiology
- •19.2.3 Thromboangiitis Obliterans
- •19.2.3.1 Diagnosis and Clinical Characteristics
- •19.2.3.2 Treatment
- •19.2.4 Temporal Arteritis
- •19.2.4.1 Epidemiology
- •19.2.4.2 Pathogenesis
- •19.2.4.3 Ocular Manifestations
- •19.2.5 Wegener’s Granulomatosis
- •19.2.5.1 Pathogenesis
- •19.2.5.2 Ocular Manifestation
- •19.2.5.3 Diagnosis
- •19.2.6 Kawasaki Disease
- •19.2.6.1 Clinical Characteristics
- •19.2.6.2 Diagnosis
- •19.3 Vascular Malformations
- •19.3.1.1 Diagnosis
- •19.3.1.2 Pathophysiology
- •19.4 Systemic Hypertension and Treatment
- •19.4.1 Etiology
- •19.4.1.1 Primary Hypertension
- •19.4.1.2 Secondary Hypertension
- •19.4.2 Pathophysiology
- •19.4.3 Pathology and Complications
- •19.4.4 Symptoms and Signs
- •19.4.5 Diagnosis of Hypertension
- •19.4.5.1 History
- •19.4.5.2 Physical Examination
- •19.4.5.3 Testing
- •19.4.6 Prognosis
- •19.4.7 General Treatment
- •19.4.7.2 Drugs
- •19.5 Hypertensive Retinopathy
- •19.5.2 Pathophysiology
- •19.5.3 Blood Pressure
- •19.5.3.1 The Risk of Stroke
- •19.5.3.2 The Risk of Coronary Heart Disease
- •19.5.4 Treatment
- •19.5.4.1 ACE Inhibitors and the Eye
- •References
- •Index
17 The Role of Ocular Blood Flow Abnormalities in the Pathogenesis of Glaucoma |
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required to cause vasoconstriction are several log units higher than extraluminal levels because of the direct exposure to ET-1 to smooth muscle cells [196]. Nonetheless, the situation is quite different in diseases where the blood-retinal barrier may be compromised. Similarly, vasoactive substances may leak from the choroidal circulation where the endothelial junctions are not as tight. In certain conditions, it is possible that even erythrocytes may leak and could be a possible cause of the characteristic disc haemorrhages which are almost exclusively associated with glaucoma [4].
Under some conditions, such as cold and stress, concentrations of vasoconstrictors such as ET-1 may increase [101, 137]. In turn, ET-1 may leak from vessels with multiple effects including astrocyte activation [149, 185] in addition to vasoconstriction [31, 196].
17.3Evidence Base Supporting the Importance of Ischaemia in Glaucoma
As discussed above, there are several mechanisms whereby reduced blood flow and nutrient supply potentially lead to optic nerve damage in glaucoma. Considerable data have been amassed over the last few decades, both from human and animal research on the issue of association, causality and whether treatment to ameliorate blood flow leads to favourable outcomes in glaucoma.
17.3.1 Association and Causality
17.3.1.1 Reduction in Optic Nerve Head Blood Flow
A considerable body of evidence exists to support the notion that blood flow in the optic nerve head, choroid, retina and indeed outside the eye is reduced in glaucoma [51, 52]. While practically every technique used for measuring blood flow shows alterations in glaucoma, it should be noted that the glaucoma populations were different across studies. For example, many studies only reported findings in glaucoma patients with statistically normal IOP based on the assumption
that glaucoma due to high IOP is due to IOP whereas ischaemic factors may be responsible for damage at normal IOP.
Fluorescein angiography first was used to show filling defects and delayed filling in the choroid, optic nerve and retina [91, 164], though it is unclear how filling defects and angiographic transit times relate to blood flow because of parameters such as vessel diameter and dye transit to the eye. Pulsatile ocular blood flow is derived from changes in IOP measured during the cardiac cycle [169]. These measurements are converted to change in pulse volume due primarily to change in choroidal volume from systole to diastole. In spite of the fact that the optic nerve head component of choroidal blood flow is very small, several reports show a reduction in pulsatile ocular blood flow in glaucoma [98, 105, 181], indicating more global alterations in blood flow.
Doppler-based techniques have been used widely to assess blood flow in glaucoma. Laser Doppler velocimetry has been used to show reduction in retinal blood flow velocity [75], while laser Doppler flowmetry was used to show reduction in optic nerve head blood flow in glaucoma patients and suspects [72, 147]. Scanning laser Doppler flowmetry measurements from several research laboratories report reduction in retinal and optic nerve head blood flow in glaucoma [76, 127, 138]. Finally, colour Doppler imaging of blood velocities in the retrobulbar vessels including the ophthalmic artery, short posterior ciliary arteries and central retinal vein has been used to show reductions in glaucoma patients [24, 59, 81, 139].
Blood flow alterations may be more pronounced in eyes that have faster glaucomatous progression [163, 194]. Spatial correlations between area of reduced blood flow and visual field damage have also been published [10]. Finally, there is some evidence that blood flow may precede development of glaucoma in studies of patients with unilateral glaucoma showing blood flow alterations in the perimetrically unaffected eye [54, 136].
17.3.1.2 Blood Pressure, Intraocular Pressure and Perfusion Pressure
Many systemic conditions such as hypertension are age-related; hence, it is important to elucidate
416 |
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whether glaucoma and systemic hypertension are co-morbidities. A considerable number of epidemiological studies in glaucoma across diverse populations have been undertaken, yet the relationship between blood pressure and IOP, and blood pressure and glaucoma is complex [38], with possible interactions with racial, genetic and environmental factors.
There is a positive relationship between IOP and both systolic and diastolic blood pressure in European-derived populations [16, 41, 108], a mixed US population [177], Caribbean Blacks [190] and Chinese-derived populations [56, 192]. While statistically significant, every 10-mmHg increase in systolic or diastolic blood pressure accounts for an increase in IOP of less than 0.5 mmHg. Evidence from longitudinal studies [107, 191] also shows that a higher baseline systolic or diastolic blood pressure explains a small (less than 0.5 mmHg) but statistically significant increase in IOP.
Paradoxically, the studies on the relationship between systemic hypertension and glaucoma have yielded opposing results. Epidemiological findings from Italian [16], Dutch [41] and Australian [128] populations show a positive relationship between hypertension and glaucoma, while studies in the United States [177] and Caribbean [114] populations failed to confirm these findings. Furthermore, population-based longitudinal data do not show a relationship between hypertension and incident glaucoma. In fact, the evidence points to the contrary, that is, low systolic blood pressure may be associated with incident glaucoma [118, 119] and progression of existing glaucoma [117], at least in glaucoma with lower IOP.
Perhaps the most equivocal finding relating derivatives of blood pressure to glaucoma is the strong association between diastolic ocular perfusion pressure and the disease (Fig. 17.1). The Baltimore Eye Survey first reported the relationship between the prevalence of glaucoma and diastolic perfusion pressure [177]. There was no effect of diastolic perfusion pressure in the prevalence of glaucoma until the values dropped to below 45 mmHg. The odds of having glaucoma increased by a factor of over 6 in patients with
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(%) |
15 |
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Prevalence |
10 |
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Diastolic perfusion pressure (mm Hg) |
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Fig. 17.1 Increasing prevalence of open-angle glaucoma with lower diastolic perfusion pressure (Data are derived from three population-based studies, the Baltimore Eye Survey (BES) [177], the Egna-Neumarkt Study (ENS) [16] and Proyecto VER (PVER) [155])
diastolic perfusion pressure of <30 mmHg compared to those with values >30 mmHg. These findings provided indirect support for the hypothesis that patients with low perfusion pressure may be unable to autoregulate blood supply to the optic nerve at low perfusion pressure; however, it is unlikely that low perfusion pressure alone accounts for all cases of glaucoma as the number of individuals with such low perfusion pressure was small [177].
Other epidemiological studies have subsequently confirmed the relationship between low diastolic perfusion pressure and glaucoma [16, 114, 155]. These findings however are not supported uniformly. The Blue Mountains Eye Study found only a marginally significant relationship between systolic perfusion pressure and glaucoma, though no significant relationship existed between diastolic or mean perfusion pressure and glaucoma [128]. In the Rotterdam Study, the prevalence of glaucoma with lower IOP was reduced in patients with diastolic perfusion pressure <50 mmHg while the prevalence of glaucoma with higher IOP was increased in patients with diastolic perfusion pressure <50 mmHg [96].
Finally, two longitudinal studies also confirm the importance of perfusion pressure in glaucoma. The Barbados Eye Study showed that
17 The Role of Ocular Blood Flow Abnormalities in the Pathogenesis of Glaucoma |
417 |
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Erect |
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140 |
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80 |
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Hg) |
120 |
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Hg) |
120 |
(mm |
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(mm |
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110 |
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60 |
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BP |
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50 |
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BP |
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Systolic |
100 |
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Systolic |
100 |
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40 |
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Diastolic BP (mm Hg) |
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Supine |
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Fig. 17.2 Mean arterial pressure (MAP) at the level of the eye as a function of diastolic (SBP) and systolic (SBP) brachial blood pressure in erect and supine positions. Diagonal lines show iso-MAP values. These values are derived with the assumptions that: (1) MAP = DBP + 1/3
(SBP − DBP); (2) the vertical height difference between the heart and eye = 30 cm and (3) 1 cmH2O = 0.72 mmHg. These data show that for a given IOP and blood pressure, ocular perfusion pressure is significantly higher in the supine position than in the erect position
subjects developing glaucoma 9 years after initial assessment had lower baseline systolic, diastolic and mean perfusion pressure [118]. In the Early Manifest Glaucoma Trial, lower systolic perfusion pressure was associated with progression of existing glaucoma [117]. The associations in these longitudinal studies are notable as they were carried out in racially distinct populations.
17.3.1.3 Nocturnal Hypotension
Systemic blood pressure lowers or dips physiologically at night. There is considerable evidence that in at least some glaucoma patients, the level of dipping is exaggerated compared to non-glaucoma subjects, with the potential of hypoperfusion of the optic nerve head contributing to glaucomatous optic neuropathy [68, 83]. This situation may be exacerbated in those patients taking systemic hypotensive drugs. Subsequent research demonstrated nocturnal dipping was associated with progressive glaucomatous damage [69] and that patients with non-progressive glaucoma had nocturnal retrobulbar blood flow measurements that did not differ from healthy subjects [82]. It has also been suggested that non-dipping is also
associated with glaucoma progression [39, 178]; hence, these findings are paradoxical in regard to perfusion pressure. Recent research showed that fluctuations in mean ocular perfusion pressure were associated with nocturnal dipping and that the level of fluctuation was related to the level of visual field damage at diagnosis [29].
While ocular blood flow parameters are related to blood pressure and perfusion pressure in glaucoma patients, but not healthy subjects [57], it is unlikely that potential ischaemia of the optic nerve head can occur from a nocturnal reduction in blood pressure alone. For a given blood pressure, the ocular perfusion pressure in the supine position is actually higher than in the erect position because the height difference between the heart and eye is eliminated [14]. Figure 17.2 shows mean blood pressure for a range of systolic and diastolic blood pressures in the supine and erect positions. Assuming a systolic blood pressure of 120 mmHg, the mean blood pressure at the level of the eye is approximately equal when the supine diastolic pressure is around 60 mmHg and the erect diastolic pressure is around 90 mmHg. Assuming a diastolic blood
418 |
B.C. Chauhan |
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pressure of 80 mmHg, the mean blood pressure at the level of the eye is approximately equal when the supine blood pressure is around 80 mmHg and the erect blood pressure is around 140 mmHg. These figures show that erect blood pressures have to be relatively high and supine blood pressures relatively low to obtain the same mean arterial pressure. The approximately 20 mmHg higher mean blood pressure at the level of the eye in the supine compared to erect position is much higher than the increase in nocturnal IOP to have an impact on ocular perfusion pressure.
Hence, while the evidence suggests that potential nocturnal ischaemia may be a contributing factor in glaucoma, it cannot be explained on the basis of reduced blood pressure at night and decreased ocular perfusion pressure. It is possible that blood flow may be reduced at night because of factors such as increased resistance.
17.3.1.4 Vasospasm
There is considerable evidence that vasospasm (or vascular dysregulation) and its surrogate measures such as migraine are associated with glaucoma. The possible association between vasospasm and glaucoma was first published almost 25 years ago [146] when it was reported that glaucoma patients with lower IOP had a higher prevalence of migraine compared to healthy subjects and those with higher IOP with and without manifest glaucoma. Several subsequent studies have confirmed these findings with patient-reported symptoms [36] or with indirect measurements of ocular vasospasm, such as finger blood flow [45, 162] or nailfold capillaromicroscopy [64, 65], which assess peripheral vasospasm.
Two population-based studies on self-reported migraine and glaucoma led to opposing conclusions – one finding an association between migraine and glaucoma [184], while the other did not [109].
Longitudinal studies have also addressed whether the incidence or progression of existing glaucoma is exacerbated by migraine or vasospasm. The Ocular Hypertension Treatment Study (OHTS) did not find an association between the existence of self-reported migraine and the development of glaucoma [67]. The Collaborative Normal Tension Glaucoma Study (CNTGS) showed that among glaucoma patients randomised to no treatment,
patients with self-reported migraine were 2.5 times as likely to progress compared to those without migraine [43]. Building on previous research suggesting that vasospastic patients have a more IOPdependent disease and therefore presumably more responsive to IOP reduction [162], the CNTGS showed that among those randomised to treatment, migraine patients responded more favourably than non-migraine patients [8]. Findings of the CNTGS were not confirmed by the Early Manifest Glaucoma Trial, another trial which also randomised patients to treatment and no treatment [117].
The Canadian Glaucoma Study (CGS) was designed to specifically test whether patients with objectively measured peripheral vasospasm at baseline had a more favourable outcome under a uniform IOP treatment protocol during prospective follow-up [1]. The CGS failed to statistically confirm this hypothesis, though non-statistically significant trends were reported consistently suggesting that vasospasm may be important in glaucoma; however, in some populations, its effect may be quite small [28].
17.3.1.5 Endothelin and Other Circulating Peptides
Plasma levels of ET-1 in glaucoma patients have been reported, with varying results. Some studies show a higher basal concentration of plasma ET-1 [25, 174], but the majority of subsequent studies have failed to confirm this finding [92, 101, 110, 137, 176]. Under different physiological conditions, however, such as a posture change [101] or cold provocation [137], at least some glaucoma patients show an increase in plasma ET-1 concentration compared to control subjects. The mechanisms whereby a systemic increase in ET-1 concentration contributes to glaucomatous optic neuropathy remain to be elucidated.
Other circulating peptides, such as angio- tensin-1, serotonin and markers of nitric oxide (e.g. cyclic guanosine monophosphate), have been investigated in plasma and aqueous of patients with glaucoma [60]. Several of these studies show alterations in aqueous concentrations in patients with glaucoma with likely effects on IOP, though the impact of altered plasma levels is not clear.
