Venous Ocular Blood Flow in Primary Open Angle Glaucoma

http://scidoc.org/IJOES.php Special Issue on "Understanding Glaucoma" International Journal of Ophthalmology & Eye Science (IJOES) ISSN 2332-290X Venous Ocular Blood Flow in Primary Open Angle Glaucoma Case Study Natalia I. Kurysheva1*, Tatiana N. Kiseleva2, Elena Y. Irtegova1, Olga A. Parshunina1 1 2 Ophthalmological Center of the Federal Medical and Biological Agency, Moscow, Russia. The Helmholtz Moscow Research Institute of Eye Diseases, Moscow, Russia. Abstract Purpose: To study venous blood low of the eye and the correlation between clinical data and ocular blood low in primary open angle glaucoma (POAG). Methods: Color Doppler imaging of arterial and venous blood low was performed in 78 patients with normal tension glaucoma (NTG), 80 patients with high pressure glaucoma (HPG) and 60 control subjects. The statistical analysis included the calculation of correlation between clinical data and ocular blood low parameters as well as Pearson’s correlation coeficient. The threshold P value for statistical signiicance was 0.05. Results: Ocular blood low (both arterial and venous) was signiicantly reduced in NTG and HTG in comparison to the control group. While arterial blood low reduction was more signiicant in HTG than in NTG, venous blood low decrease was more marked in NTG. In contrast to the control group, POAG patients showed a correlation between clinical data and venous blood low. The correlation was higher in NTG patients. Conclusions: The obtained results indicate the potential importance of venous blood low in glaucoma pathogenesis, especially in NTG. Keywords: Ocular Blood Flow; Optical Coherence Tomography; Primary Open Angle Glaucoma; Retinal Ganglion Cell Complex; Venous Blood Flow; Primary Open-Angle Glaucoma; Normal Tension Glaucoma; Optical Coherence Tomography; Structural Changes; Ocular Blood Flow. *Corresponding Author: Natalia I. Kurysheva, Ophthalmological Center of the Federal Medical and Biological Agency, Malaya Naberezhnaya, 15/1-7, Moscow, 125362, Russia. Tel: +7 916 664 23 13 Fax: +7 499 196 65 17 E-mail: [email protected] Received: May 17, 2015 Accepted: June 03, 2015 Published: June 08, 2015 Citation: Natalia I. Kurysheva, Tatiana N. Kiseleva, Elena Y. Irtegova, Olga A. Parshunina, (2015) Venous Ocular Blood Flow in Primary Open Angle Glaucoma. Int J Ophthalmol Eye Res. S3:001, 1-7. Copyright: Natalia I. Kurysheva© 2015. 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. Introduction Reduced and/or unstable ocular blood low leading to chronic ischemia and reperfusion of deep retinal layers and optic nerve head is considered to be an important risk factor in primary open angle glaucoma (POAG) development and progression [1]. More than 30 years ago Quigley and co-workers, performed histological analysis in post mortem eyes comparing the optic disc capillary bed in patients with early and advanced glaucoma. The authors reported the amount of capillaries remained at a normal level, while there was a signiicant thinning of the retinal nerve iber layer (RNFL) in advanced glaucoma [2]. On this basis, the author concluded that the development of glaucomatous optic neuropathy is not associated with vascular disorders of the optic nerve. This conclusion was, however, criticized by Hayreh, who emphasized that the state of capillary bed does not necessarily relect the level of ocular perfusion since capillaries are more resistant to ischemia than nervous tissue [3]. In humans longitudinal studies are required to investigate whether such perfusion changes in glaucoma are cause or consequence of the disease, which is dificult in the absence of a gold standard method for measuring ocular blood low. Color Doppler imaging (CDI) has been proposed for glaucoma diagnosis showing relatively good sensitivity and speciicity [4-23]. Moreover several longitudinal studies using color Doppler imaging (CDI) indicate that reduced blood velocities in retrobulbar vessels are indeed a risk factor for glaucoma progression [4-10]. However few of them mention the role of venous blood low in glaucoma and explore its link to disk hemorrhages, retinal vein occlusion [18] and retinal venous pulsation [14, 15]. The purpose of our study was to evaluate venous blood low in glaucoma patients and determine the correlation between local Natalia I. Kurysheva, Tatiana N. Kiseleva, Elena Y. Irtegova, Olga A. Parshunina, (2015) Venous Ocular Blood Flow in Primary Open Angle Glaucoma. Int J Ophthalmol Eye Res. S3:001, 1-7 1 http://scidoc.org/IJOES.php Special Issue on "Understanding Glaucoma" blood low and clinical data in POAG patients. Materials and Methods Subject groups The study was approved by the ethical committee (Institutional Review Board) at the Institution of Federal Medical and Biological Agency of Russian Federation and was conducted in accordance with Good Clinical Practice within the tenets of the Helsinki agreement. Each patient/subject was required to sign an informed consent form before being enrolled in the study and prior to any measurements being taken. The study included 156 patients (73 male and 83 female) with POAG aged 46 to 67 years. 78 patients had normal tension glaucoma (NTG), and 80 had high pressure glaucoma (HPG). 60 healthy individuals (22 males and 38 females) of the same age constituted the control group. Glaucoma was diagnosed on the basis of characteristic changes in the optic disc detected by ophthalmoscopy, which was performed by one glaucoma specialist (NK; pathological deviation from the normal neuroretinal rim, glaucomatous optic disc cupping, peripapillary atrophy, wedgeshaped defects of RNFL adjacent to the edge of optic disc, hemorrhages on the optic disc boundary). Standard automated perimetry (SAP) was done by means of the Humphrey perimeter (Carl Zeiss Meditec, Dublin, CA) using the 30-2 threshold test program with the SITA-Standard algorithm (threshold was studied at 176 points within the central 30° using Goldmann III white stimulus and presentation duration of 100 ms, with background illumination of 31.5 abs). Mean deviation (MD) and pattern standard deviation (PSD) were determined. Results of the SAP had to be normal deined as: the pattern deviation plot has less than 3 contiguous points signiicantly different from normal (P<0.05) with at least one at the P<0.01 level on the same side of the horizontal meridian. For the diagnosis of HTG an untreated intraocular pressure (IOP) above 21 mm Hg was required. Patients using eye drops prior to being enrolled in the study were recommended to discontinue treatment for up to 3 weeks (the washout period). Other patients were newly diagnosed with glaucoma. Diagnostic criteria for NTG were the same as for the HTG patients, however an IOP was not above 21 mmHg. The control group consisted of persons with no irst-degree relatives with glaucoma, IOP<22 mm Hg, normal optic disc appearance, normal RNFL and absence of visual ield defects. In all subjects an ophthalmologic examination was performed including determination of visual acuity, biomicroscopy, applanation tonometry, gonioscopy, pachymetry, measurement of axial length and anterior chamber depth, and imaging of the anterior segment of the eye using OCT. Inclusion criteria were the ametropia≤0.5 diopters and an open anterior chamber angle (not less than 30°). Exclusion criteria were the presence of the following: systemic administration of beta-blockers and calcium-channel blockers, concomitant ocular disease (except early stage cataract), chronic autoimmune diseases, diabetes mellitus, acute circulatory disorders in past medical history and any concomitant disease involving administration of steroid drugs. A history of ocular arterial or venous obstruction (branch or central occlusion) or systemic conditions associated with venous congestion (e.g. heart failure) were also considered as exclusion criteria. Only patients who had not been previously undergone ocular surgery were included. In glaucoma patients the eye with more advanced glaucoma stage (determined via perimetry) was included in the study. The control group had their right eye hemodynamics examined. Information regarding functional and structural damage was collected from glaucoma patients during examinations undertaken on the day of the study visit. Patients with suspected intracranial abnormalities underwent brain magnetic resonance imaging (MRI). Doppler imaging was used to exclude any neck blood vessels pathology. Blood pressure measurement was taken from subject’s right arm using an electronic sphygmomanometer (Omron, Schaumburg, USA). Measuring devices Intraocular pressure was measured using the Ocular Response Analyzer (ORA) (Reichert Ophthalmic Instruments, Depew, NY). The device uses a direct burst of air directed towards the cornea and uses tow applanation pressure measurements, one during the depression of the cornea and another during the recovery. The corneal hysteresis (CH) measure allows for the calculation of a corneal compensated IOP (IOPcc), which appear to be less affected by properties of the cornea than conventional applanation tonometry. Mean ocular perfusion pressure (MOPP) was calculated based on measurements of IOP and systemic blood pressure (BP) immediately before the OCT scanning and investigation of retrobulbar blood low, after a 10-minute resting period in the sitting position. Systemic BP was measured using the Riva Rocci technique. MOPP was calculated using the formula: MOPP= ([2/3diastolicBP + 1/3systolicBP] x 2/3-IOP). OCT was performed using the RTVue-100 OCT (Optovue, Inc., Fremont, CA) in the optic disc area (ONH protocols and 3D Disc) and macular area (GCC protocol) in tracking mode. In the ONH (optic nerve head) study protocol, retinal nerve iber layer thickness (RNFLT) was investigated. The method used for investigating blood low velocity in retrobulbar vessels included gray-scale ultrasound, Color Doppler Imaging (CDI) and pulsed-wave Doppler (PWD). The ultrasound examinations were performed with a VOLUSON 730 Pro ultrasound system (GE Medical Systems Kretztechnik GmbH & Co OHG, Austria) and a SP 10-16 transducer. With the patient in supine position, sterile ophthalmic gel was applied as a coupling to the closed eyelid, and the probe was positioned gently with minimal pressure. Application of gray-scale ultrasound enabled us to obtain the image of the globe and orbit. The CDI-method was used to display directly the ine orbital vessels, including the ophthalmic artery (OA) and its branches, the central retinal artery (CRA), the lateral and medial posterior ciliary arteries (PCAs). It was done according to expected anatomical position of the vessels and its color code. The blood low in the OA was evaluated at a depth of 35 mm. The CRA blood low velocity was examined in the canal of optic nerve at the distance of 5-6 mm from the posterior wall of the globe. The PCAs were identiied on either side of the optic nerve, about the same distance from the fundus as Natalia I. Kurysheva, Tatiana N. Kiseleva, Elena Y. Irtegova, Olga A. Parshunina, (2015) Venous Ocular Blood Flow in Primary Open Angle Glaucoma. Int J Ophthalmol Eye Res. S3:001, 1-7 2 http://scidoc.org/IJOES.php Special Issue on "Understanding Glaucoma" the central retinal artery and vein. With using PWD we measured the blood low spectrum of vessels and its main indices: peak systolic velocity (PSV), end-diastolic velocity (EDV), mean velocity (Vmean), resistive index (RI), and the pulsatility index (PI). Patients were instructed to avoid caffeine intake, smoking and exercise for 5 hours prior to the study visit. Statistical analysis Analyses were performed with “SPSS 11.0 for Windows” software. The statistical analysis included the calculation of means, standard deviation, standard error as well as Pearson’s correlation coeficient. The threshold P value for statistical signiicance was 0.05. sion pressure, which was signiicantly lower in NTG patients than in HTG group and healthy subjects. CDI variables of the retrobulbar vessels in the studied groups are given in Table 2. Blood low was signiicantly reduced in all vessels supplying blood to the retina and optic disc in NTG and HTG compared to the healthy subjects. Arterial blood low velocity parameters were higher in NTG than in HTG; some parameters showed a statistically signiicant difference (p<0.05). Conversely, venous blood low deiciency was more marked (p<0.05) in NTG than in HTG patients. Since a number of parameters (GCC, CDI parameters of vortex vein, the mean velocity and RI in superior ophthalmic vein and corneal hysteresis) depended on the axial length (AL) and age of the subjects, they were adjusted on a linear regression model basis with allowance for AL and age. Correlation between morphology, function and blood low parameters in POAG patients and healthy control subjects is summarized in Table 3. The control group only showed a correlation between clinical parameters and blood low in short posterior ciliary arteries. In glaucoma patients a stronger correlation was found between clinical data and venous blood low (especially in NTG) rather than between the former and arterial blood low. It concerns the correlation between ganglion cell complex thickness and blood low in central retinal vein and vortex veins. Results Discussion Table 1 summarizes patient characteristics in the observed groups. Signiicant difference was detected between POAG patients and healthy control subjects in all studied parameters except age, visual acuity and blood pressure. However there was no difference between glaucoma patients, except in IOP and mean ocular perfu- Our results indicate that ocular blood low deiciency might be present in glaucoma in general, which has already been reported in numerous studies [14, 16, 17, 20]. Blood low in NTG is not more impaired than in HTG. It wasn’t unexpected for it had previously been described in literature [22]. Table1. Patient characteristics. n Age, years Axial length, mm IOP, mm Hg Visual acuity Systolic BP mean, mm Hg Diastolic BP mean, mm Hg MOPP, mm Hg Corneal thickness, μm MD, dB GCC, μm Disk area, mm2 Cup volume, mm3 Rim volume, mm3 Savg, μm Iavg, μm Avg. thickness, μm NTG HTG Healthy subjects 78 64.2 (9) 23.1(0.7) 13.5 (2.5) 0.8 (0.1) 136.7 (10.1) 76.7 (9.3) 51.2 (8.3)* 533.5 (26.3) -6.6 (3.3)* 73.9 (20.1)* 2.3±0.5 0.30±0.19* 0.29±0.13* 91.8±25.5* 99.5±23.9* 84.7±15.8* 80 69.3 (12) 23.3 (0.8) 24.6 (4.8)* 0,75 (0,08) 132,3 (16.1) 78.5 (11.3) 59.4 (9.1) 538.3 (35.9) -7.6 (5.9)* 69.9 (18.2)* 2.1±0.5 0.24±0.26* 0.28±0.203* 81.8±24.5* 89.7±29.7* 79.6±18.6* 60 63.5 (10) 22.9 (1.0) 14.8 (3.6) 0,9 (0,07) 127 (13) 81.0 (9,3) 61.1 (8.5) 532.9 (20.7) -0.7 (2.1) 92.3 (15.7) 2.1± 0.2 0.06± 0.07 0.6 ± 0.14 119.1± 19.0 125.1± 19.4 97.5± 12.6 Pairwise NTG versus HTG (p-value) 0.68 0,35 <0.001 0.73 0.56 0.55 0.03 0.35 0.44 0.62 0.31 0.1 0.19 0.24 0.67 0.53 The igures represent mean values and standard deviation (SD). Savg, Iavg, avg thickness = retinal nerve ibre layer thickness (RNFL thickness) above the optic disc, below the optic disc and mean RNFL thickness respectively. IOP=intraocular pressure; MD=mean deviation; BP=blood pressure; MOPP=median ocular perfusion pressure ([2/3diastolic + 1/3systolicBPs]x2/3-IOP measured by Goldman tonometry); GCC=ganglion cell complex. * the difference between the studied group and healthy control subjects is statistically signiicant (p<0.05). Natalia I. Kurysheva, Tatiana N. Kiseleva, Elena Y. Irtegova, Olga A. Parshunina, (2015) Venous Ocular Blood Flow in Primary Open Angle Glaucoma. Int J Ophthalmol Eye Res. S3:001, 1-7 3 http://scidoc.org/IJOES.php Special Issue on "Understanding Glaucoma" Table 2. CDI variables of the retrobulbar vessels in the studied groups. Variables CRA PSV, cm/s CRA EDV, cm/s CRA Vmean, cm/s CRA RI CRV PSV, cm/s CRV EDV, cm/s CRV Vmean, cm/s CRV RI CRV PI SPCA lat. PSV, cm/s SPCA lat. EDV , cm/s SPCA lat. Vmean, cm/s SPCA lat. RI SPCA lat. PI SPCA med. PSV , cm/s SPCA med. EDV , cm/s SPCA med. Vmean, cm/s SPCA med. RI OA PSV, cm/s OA EDV, cm/s OA Vmean, cm/s OA RI OA PI VV PSV, cm/s VV EDV, cm/s VV Vmean, cm/s VV RI VV PI SOV PSV, cm/s SOV EDV, cm/s SOV Vmean, cm/s SOV RI SOV PI NTG 11.3±3.4* 2.7±1.7* 5.8±2.0* 0.78±0.13 6.5±1.9 3.1±1.8* 3.8±1.3* 0.49±0.27* 0.8±0.61* 12.1±2.6* 3.6±1.6* 6.8±1.6* 0.71±0.12* 1.3±0.42* 11.5±2.6* 3.6±1.8* 6.3±1.7* 0.69±0.14 34.4±6.2* 9.6±3.1 18.5±4.1 0.76±0.2 1.39±0.34* 4.9±1.0* 1.6±1.3* 2.9±0.8* 0.67±0.23* 1.32±0.85 5.0±5.6* 3.2±2.3* 4.7±1.4* 0.54±0.32 0.98±0.78 HTG 10.6±2.6* 2.5±1.5* 5.5±1.6* 0.8±0.22* 5.8±1.3* 3.2±1.5* 4.0±1.2* 0.58±0.47* 0.71±0.64* 11.1±2.6* 3.5±1.6* 6.3±1.8* 0.69±0.11* 1.26±0.37* 10.4±2.4* 3.3±1.5* 6.0±1.6* 0.69±0.12* 33.1±7.4* 9.1±3.6 17.5±5.0 0.73±0.08* 1.43±0.36* 5.1±1.1* 2.7±1.8* 3.6±1.1* 0.51±0.29* 0.82±0.7* 7.7±2.2* 4.2±2.4* 5.2±2.3* 0.46±0.23* 0.82±0.72 Healthy subjects 14.1±1.8 3.7±0.9 7.0±1.3 0.74±0.04 6.9±1.1 5.2±1.0 5.6±0.9 0.28±0.11 0.39±0.18 14.4±1.8 5.2±1.2 8.5±1.3 0.63±0.07 1.09±0.2 13.8±2.2 4.7±1.0 8.2±1.6 0.65±0.06 39.3±6.2 9.3±3.7 17.2±4.5 0.77±0.06 1.77±0.37 7.1±1.1 4.3±1.4 5.2±1.3 0.39±0.16 1.07±1.44 10.4±1.8 6.4±2.8 8.0±2.3 0.41±0.23 0.72±0.49 Abbreviations: CRA – central retinal artery, CRV – central retinal vein, SPCA - lateral and medial short posterior ciliary arteries, OA - ophthalmic artery, VV - vortex veins, SOV - superior ophthalmic vein; PSV – peak systolic velocity, EDV – end diastolic velocity, Vmean – mean velocity, RI – resistive index, PI – pulsatility index. Blood low velocities showing a statistically signiicant difference in NTG and HTG are given in bold. * the difference between the studied group and the healthy control subject group is statistically signiicant (p<0.05). The most important results concern venous blood low, which previously has been studied poorly in glaucoma. This is mainly due to the lack of precise and reliable ocular blood low evaluation methods [1, 24]. CDI of ocular blood vessels is regarded as a trusted classic method, which has been a well-validated tool in ocular blood low research. However it cannot be considered precise, especially if used to study small vessels and venous blood low. This is stated in a recent study by R. Ehrlich and A. Harris who noted however that high skilled professionals are nevertheless able to visualize small blood vessels [25]. In a recent metanalysis Rusia et al. CDI data of 3061 glaucoma patient were compared with 1072 healthy subjects. The authors concluded that CDI parameters can be used as a diagnostic criterion for distinguishing glaucomatous patients from healthy individuals [26]. Our results show decreased blood low in CRV as well as in vortex veins and superior ophthalmic vein in both POAG groups. Moreover blood low in NTG turned out to be lower than in HTG in several veins. Is it somehow linked to glaucomatous optic neuropathy development? It is possible to assume that it is true. High correlation between clinical data and venous blood low pa- Natalia I. Kurysheva, Tatiana N. Kiseleva, Elena Y. Irtegova, Olga A. Parshunina, (2015) Venous Ocular Blood Flow in Primary Open Angle Glaucoma. Int J Ophthalmol Eye Res. S3:001, 1-7 4 http://scidoc.org/IJOES.php Special Issue on "Understanding Glaucoma" Table 3. Correlation between morphology, function and blood low parameters in POAG patients and healthy control subjects. MD CRV PSV PSD -0.422 (0.039) CRV EDV CRV Vmean CRV RI CRV PI SPCA lat. PSV Cup volume -0.432 (-0.001) -0.675 (-0.01) 0.788 (-0.002) 0.878 (-0.001) -0.731 (-0.007) -0.71 (-0.01) 0.702 (-0.01) 0.674 (-0.016) -0.738 (-0.036) Rim volume 0.372 (-0.001) Lin c/d ratio RNFL thickn. -0.617 (-0.043) 0.368 (-0.001) I avg Avg. thickn. 0.409 (-0.001) 0.461 -0.001 0.318 (-0.009) 0.415 (-0.001) 0.403 (-0.001) -0.375 (-0.002) -0.427 (-0.001) 0.629 (-0.038) -0.384 (-0.001) SPCA lat. EDV -0.98 (-0.02) OA EDV OA PI 0.32 (0.003) -0.7 (-0.05) SPCA med. PI OA RI GCC 0.615 (-0.004) 0.604 (-0.005) SPCA lat. Vmean SPCA med. PSV S avg 0.48 (-0.017) 0.47 (-0.02) 0.408 (-0.048) -0.509 (-0.01) -0.57 (-0.004) VV Vmean VV EDV VV RI SOV PSV rameters in glaucoma – especially in NTG – and no such correlation with arterial blood low support this theory. Ocular venous outlow pathway is composed of CRV, vortex veins and superior ophthalmic vein, as well as several small orbital veins. It is important to keep in mind that the venous system anatomy may vary. The central retinal vein exits the eye through the lamina cribrosa along with the optic nerve. Narrowing of CRV past the lamina cribrosa is a typical anatomical trait, and 4 out of 5 patients have an intraorbital part of the CRV 43-116% wider than that which runs through the lamina cribrosa [17]. Thus narrow lamina cribrosa opening combined with its certain anatomical features may severely limit the venous outlow. Apparently there are 3 options: 1) the narrowing is signiicant, 2) insigniicant or 3) moderate. If the segment of the CRV that goes through the lamina cribrosa is signiicantly narrowed, the pressure in the intraocular part of the CRV is greatly higher than IOP. Therefore, the actual ocular perfusion pressure (OPP) in such cases is much lower than that calculated by using the standard formula (see above), where IOP is thought to be equal to BP in CRV. However it should be kept in mind that even a minor increase in IOP, which lowers OPP by a small 4 – 5 % may double the pressure difference between the prelaminar and postlaminar parts of CRV. As adequately noted by А. Bill, if we suppose that the pressure in the intraocular part of the CRV equals IOP, it is always 0.41 (-0.05) 0.476 (-0.02) 0.467 (-0.02) -0.512 (-0.01) -0.577 (-0.003) -0.5 (-0.025) -0.51 (-0.02) 0.32 (0.016) 0.38 (0.004) -0.37 (0.045) 0.53 (-0.04) slightly higher than that in the postlaminar part of the CRV [27]. This results in turbulent blood low. If IOP becomes higher than the pressure in CRV, the turbulence increases putting the vein wall at risk of mechanical damage. Notably, it can also happen in cases of minor IOP increase, for instance in NTG. The situation is worsened by enlargement of CRA, which might compress the vein situated below it. Thus CRA enlargement does not lead to OPP increase, decreasing it instead due to higher pressure in the CRV. Severe pressure increase may lead to CRV thrombosis, which is basically characteristic of glaucoma. A new theory has recently been proposed to explain the origin of retinal vein thrombosis. It is based on certain similarities between the pathogenesis of vein thrombosis and glaucoma [28]. The matter is that the inner vein wall – like the endothelium of arteries and capillaries – responds to various vasoconstrictive and vasodilatory factors. What do CRV thrombosis and glaucoma have in common? On the molecular level it is the overproduction of the following substances: hypoxia-inducible factor (HIF-1α), endothelin-1 (ЕТ-1), vascular endothelial growth factor (VEGF) and erythropoietin. The aforementioned chemical stimuli may lead to vasospasm and increased vascular permeability. These factors are thought to be able to diffuse through the permeable wall of choroidal blood vessels into the optic nerve head. This is the irst location to become affected by vasospasm and increased permeability, which in severe cases manifest with optic disc hemor- Natalia I. Kurysheva, Tatiana N. Kiseleva, Elena Y. Irtegova, Olga A. Parshunina, (2015) Venous Ocular Blood Flow in Primary Open Angle Glaucoma. Int J Ophthalmol Eye Res. S3:001, 1-7 5 http://scidoc.org/IJOES.php Special Issue on "Understanding Glaucoma" rhage [23]. It is notable that in both phenomena venous blood pressure is increased [29]. Short-term IOP increase results in capillary stasis due to microstructural damage of arterioles (which can occur in vessels adjacent to the lamina cribrosa or be caused by spasm of arterioles) [21]. Capillary stasis immediately leads to stasis in the adjacent venule which spreads to the CRV. The reason is the aforementioned blood low turbulence in the retrolaminar part of the CRV due to IOP increase and pressure drop in the vein below IOP. The period of IOP increase might be too short to activate blood low autoregulation. As a result it leads to OPP decrease [16] followed by the release of inlammatory mediators, arrival of leukocytes and other thrombosis-inducing factors. According to published data, blood low decrease itself is not as important in POAG pathogenesis as vascular dysregulation [1]. It is suggested that it is characteristic of both glaucoma and retinal vein occlusion for it affects the venous system as well [28]. We have recently discovered that ocular blood low is dependent on heart rate variability, especially in NTG [19]. Other authors note that OPP is not as relevant as its luctuation which may be caused by blood low instability in the setting of vascular dysregulation. The latter is believed to be one of the mechanisms of glaucomatous optic neuropathy progression (due to ocular blood low autoregulation failure) in patients with normal IOP [20]. The aforementioned factors may be the cause of venous blood low impairment revealed in both groups of POAG patients and especially marked in NTG. It is known that short-term IOP and OPP luctuation does not immediately lead to axonal injury: the retina can even withstand increased IOP for an hour, and axons – weeks and months after the development of local ischemia. In contrast to that, ocular microcirculation becomes impaired several minutes after moderate IOP luctuation [18]. This is the exact mechanism that triggers other pathologic processes leading to neuron apoptosis. It may be assumed that microvasculature (arterioles, venules, and capillaries) involvement is just as important in GON development as venous outlow impairment in larger ocular blood vessels. Another assumption is that CRV architectonics – mainly in the part that goes through the lamina cribrosa – may also be an underlying cause of venous stasis in patients with IOP luctuation. Moreover, these factors may be hereditary. As mentioned above, there are three possible anatomical features of CRV. The irst one is signiicant narrowing of CRV past the lamina cribrosa. In this case IOP increase in systole leads to higher blood inlow, which in turn results in dramatic pressure increase in the part of CRV passing through the lamina cribrosa. The blood is pushed through the narrow space creating turbulence in the intraorbital segment of the vein and ultimately resulting in venous stasis and OPP drop. The second option is completely different with insuficient CRV narrowing in the lamina cribrosa. In such instance CRV starts to pulsate intensely with each systole leading to pressure drop below IOP followed by collapse in the prelaminar part of CRV and venous stasis. In both scenarios the vein wall is at risk of mechanical damage. Only in the third scenario – moderate (adequate) CRV narrowing – the systolic pressure in this blood vessel equals IOP and the diastolic pressure is slightly higher than that. In this case no turbulence is observed. Apparently the abovementioned clini- cal situation is not common in glaucoma. Whether it is true or not is yet to be determined with the help of morphological studies of the eye made available due to modern visualization systems. Only in a few studies devoted to the blood low in glaucoma, the authors studied venous blood low velocities using CDI. Plange et al. (2006) observed that end diastolic blood low velocity in CRV had high correlation with the optic disc retinal rim volume (r = 0.56) and RNFLT (r = 0.49). It is noteworthy that the authors have not observed any correlation with the arterial blood low parameters. Interestingly, the velocity of blood low in CRV correlated neither with the age of patients nor with the level of IOP [30]. Reduced blood low velocity in CRV in POAG (including NTG) was also noted in other studies [31, 32]. Furthermore, an increase in pressure in the CRV was observed in glaucoma associated with reduced blood low velocities in this vessel [33]. The spontaneous CRV pulsation, a sign of increased venous blood low, correlates with visual ield defects [34]. In some studies an inluence of increased venous pressure on the POAG progression has been noted [35]. In a recent study by means of Doppler OCT a signiicant decrease in retinal blood low and retinal venous blood low velocity in patients with glaucoma as compared with healthy subjects was reported [36]. Regression analysis carried out by these authors showed that lower values of retinal blood low and morphometric (structural) parameters were independent predictors of the occurrence of visual ield defects. 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Hwang J, Konduru R, Zhang X, Tan O, Francis B, et al. (2012) Relationship among Visual Field, Blood Flow, and Neural Structure Measurements in Glaucoma. Invest Ophthalmol Vis Sci. 53: 3020-3026. Special Issue on "Understanding Glaucoma" Theme Edited by : Natalia I. Kurysheva, Ophthalmological Center of the Federal Medical and Biological Agency, Moscow, Russia. E-mail: [email protected] Natalia I. Kurysheva, Tatiana N. Kiseleva, Elena Y. Irtegova, Olga A. Parshunina, (2015) Venous Ocular Blood Flow in Primary Open Angle Glaucoma. Int J Ophthalmol Eye Res. S3:001, 1-7 7