Skip to main content

REVIEW article

Front. Med., 25 May 2022
Sec. Ophthalmology
This article is part of the Research Topic Clinical Application and Development of Ocular Imaging View all 47 articles

Potential Prognostic Indicators for Patients With Retinal Vein Occlusion

\r\nShan YinShan Yin1Yanyan CuiYanyan Cui2Wanzhen JiaoWanzhen Jiao3Bojun Zhao*Bojun Zhao3*
  • 1The First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, China
  • 2Department of Ophthalmology, Liaocheng People’s Hospital, Liaocheng, China
  • 3Department of Ophthalmology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China

The second most prevalent cause of retinal vascular disease is retinal vein occlusion (RVO). RVO raises intravascular pressure in the capillary and veins, triggering vessel barrier collapse and subsequent leaking of blood or plasma components into the tissue (edema). Macular edema (ME) is a major complication of RVO that results in significant visual impairment. Laser therapy, intravitreal steroid injections, and vascular endothelial growth factor (VEGF) inhibitors are the major therapeutic techniques. Different therapies reduce ME of RVO and improve visual activity. However, some people have no impact on the resolution of ME, while others have a poor visual prognosis despite full ME cure. There are many investigators who studied the relationship between indicators of various instruments with visual activity. However, a summary of those findings is currently lacking. Therefore, we will focus on the predictive factors of different studies associated with positive visual activity outcomes, which would be very useful and important to help address both treatment expectations and methods for patients with RVO.

Introduction

Retinal vein occlusion (RVO) is one of the common causes of retinal vascular disease (1). Both branch RVO (BRVO) and central RVO (CRVO) are correlated to vision loss and reduction in vision-related quality of life (2, 3). Although RVO is more common in elderly people, it can occur in younger people as well (4), possibly affecting their ability to live and work. The use of anti-vascular endothelial growth factor (VEGF) therapeutics to treat macular edema (ME) caused by RVO is a significant step forward in improving visual outcomes in individuals with BRVO and CRVO (5, 6). However, successful treatment is often temporary. Following several intravitreal injections of anti-VEGF, some individuals have no impact on the resolution of ME, while others have a poor visual prognosis despite full resolution of the ME. Therefore, this summary will focus on the predictive factors associated with positive visual activity (VA) outcomes, which would be very useful and important to help address both treatment expectations and approaches for patients with RVO.

Gender

The HORIZON extension study reported the association of men with good final vision in patients with BRVO (7). The normal range for hematocrit in this research was 40.7 to 50.3% for male patients and 36.1 to 44.3% for female patients. A stronger oxygen-carrying capacity in men may avoid ischemia and consequent high levels of VEGF and its related problems, which may explain why men have better visual results and responses to therapy. Similarly, in a cross-sectional countrywide survey of 557 naive individuals with RVO in Korea, female patients were considerably more likely to have lower vision than male patients with BRVO (8). Additional research may be required to determine if other sex-related characteristics (e.g., hormone levels, lifestyle, behaviors, and environmental factors) influence the results of VEGF suppression in retinal vascular disorders.

Age

Younger age was related with not only a 15-letter improvement in BCVA, but also a good final best-corrected visual acuity (BCVA) in patients with CRVO (7). Chatziralli and Winegarner also stated that final visual acuity is negatively related to age (9, 10). There are many possible reasons why age may contribute to poor efficacy of anti-VEGF drug therapy. Goff and Bishop (11) discovered biochemical alterations in the vitreoretinal interface as well as the thickening of the inner limiting membrane (ILM) with age, both of which potentially impede anti-VEGF agent diffusion into the retinal layers. Another study found that the vitreous body undergoes irreversible changes as it ages, including changes in the collagen fibrils and hyaluronic acid components, condensation of the vitreous gel, and the creation of optically empty spaces (12). Previous research has also revealed that in vitrectomized eyes, the clearance rates of pharmaceutical compounds from the vitreous were quicker, and as a result, the efficacy of anti-VEGF drugs was reduced (13, 14). Given these findings, alterations in the vitreous structures related to aging may impact the solubility and diffusion rates of anti-VEGF drugs, as well as increase the rate of aflibercept elimination in elderly patients. Finally, retinal circulation could change with age, especially when the number of retinal capillaries decreases and arteriosclerotic changes in retinal arteries develop (15). The reduction in retinal blood flow may hasten the release of VEGF. As a result, in aged persons, a decline in anti-VEGF response may be associated with a reduced retinal flow and elevated VEGF levels. At the same time, the retinal pigment epithelium (RPE) layer may alter with age, such as growing more pleomorphic, accumulating lipofuscin, and experiencing a decrease in cell quantity (15). Since RPE layer activities are critical to photoreceptor cell health, disruption of these processes may affect the responses to aflibercept therapy in older individuals with BRVO.

Smoking

To date, only Sophie and associates reported that never smoked was related not only with a 15-letter improvement in BCVA but also with a good final BCVA in patients with CRVO (7). No such correlation was found in patients with BRVO. Smoking inhibits the endothelial function, promotes inflammation and lipid modification, disrupts the balance of antithrombotic and prothrombotic factors, and accelerates the atherothrombotic events in the body (16). Another well-known impact of smoking is that it increases the number of circulating white blood cells and the aggregation of white blood cells (17). Smoking has been demonstrated to reduce retinal blood flow and the capacity of retinal vessels to autoregulate in response to hyperoxia (1821). As a result, increasing age and smoking worsen the vascular disease, which lowers the chance of favorable visual outcomes in individuals with CRVO.

Blood-Related Indicators

Red Blood Cell Distribution Width

Red blood cell distribution width (RDW), a metric that assesses variation in red blood cell size, is an indication of erythrocyte heterogeneity (22). For the first time, the study of Ozkok et al. (23) showed a link between RDW value and vision results in patients with RVO. RDW values were found to be considerably greater in patients with RVO compared to an age-matched control group, and higher RDW values were related to a worse beginning vision and a lower final vision. Similarly, Pinna et al. (24) observed that patients with both RVO and BRVO had significantly higher RDW values. In a univariate logistic regression analysis, RVO was significantly associated with RDW. However, a multivariate logistic regression analysis found no statistically significant relationship between RVO and RDW. The relationship between vision and RDW needs to be verified by further studies. The mechanism behind the link between RDW and clinical outcomes in patients with RVO remains unknown, while oxidative stress (25) and chronic inflammation, as well as endothelial dysfunction, might be involved (26).

To sum up, in patients with RVO, RDW value may be a predictive indicator for vision. This affordable and widely accessible biomarker may be useful as a prognostic factor. More research with bigger sample numbers and prospective methods is recommended to acquire more conclusive results.

Mean Platelet Volume

Mean platelet volume (MPV), a key indicator of platelet manufacturing rate and size, has been correlated to platelet activation. Onder et al. (27) and Bawankar et al. (28) found that MPV was considerably greater in hypertensive individuals with BRVO and CRVO when compared to the hypertension control group. Furthermore, Sahin et al. (29) discovered that MPV levels were considerably higher in patients with RVO in a retrospective analysis of 193 patients with RVO and 83 healthy control persons. Yilmaz et al. discovered a similar effect in another retrospective analysis of 83 patients with RVO and 85 controls (30). Pinna et al. (24) discovered significantly higher median values of MPV in patients with RVO, BRVO, or CRVO compared with their respective controls. MPV was responsible for 30% of the attributable risk for RVO.

Previous research has revealed that systemic and local inflammation may play a role in the development of RVO by causing atherosclerosis and hypercoagulability. Changes in MPV and RDW represent the severity of inflammation in a variety of disorders because systemic inflammation not only affects the survival of platelets and red blood cells, but also deforms their membranes (31). Based on the above findings, we speculate that MVP may also be a predictor of final visual acuity. However, there are no studies on the relationship between MVP and visual acuity in patients with RVO. More prospective studies on MPV as a predictive biomarker in patients with RVO are required to determine the pathophysiologic and clinical relevance of elevated MPV in patients with RVO.

Hematocrit

The HORIZON extension research (7) discovered a negative association between low hematocrit and ultimate vision in patients with BRVO. This might be explained by the lower oxygen-carrying capacity of blood in patients with low hematocrit, which could increase retinal hypoxia and induce higher activation of hypoxia-regulated genes, such as VEGF, as well as perhaps worsen ischemia damage to macular cones in some patients. The significance of the discovery is underlined by the observation that normal vs. low hematocrit was similarly linked with a 15-letter improvement in BCVA in individuals with BRVO. In contrast to BRVO, normal vs. low hematocrit was not connected with favorable visual results in CRVO, which might simply be due to chance, but it could also be due to specific traits that CRVO eyes do not share with BRVO eyes. At present, the HORIZON extension study descried above is the only one looking at the link between RVO patients’ hematocrit and visual acuity.

Systemic

The HORIZON extension study (7) found a history of hypertension and lower mean diastolic ocular perfusion pressure (OPP) associated with 15-letter BCVA improvement in patients with CRVO. However, these indicators were not associated with good final visual acuity. High systolic blood pressure raises systolic OPP, which compensates for higher resistance, slow flow, and reduced autoregulation to prevent retinal ischemia (32). The relationship between higher systolic OPP and ultimate CST ≤ 250 μm shows that increased systolic perfusion pressure may be beneficial in CRVO. On the other hand, persistent high ocular perfusion throughout the cardiac cycle may damage retinal capillaries because decreased diastolic perfusion pressure was related to a 15-letter improvement in BCVA in patients with CRVO. HORIZON extension study found no correlation between hypertension and 12-month BCVA in patients with BRVO. According to the study by Asano et al., 6-month post-IVR BCVA was positively associated with pre-IVR systolic blood pressure (SBP). Furthermore, a multiple regression analysis revealed that pre-IVR SBP was an independent predictor of 6-month post-IVR BCVA (33). Their findings may not be representative because of the small number of patients enrolled. Nevertheless, further studies are needed to verify the relationship between hypertension and visual acuity in patients with RVO and to better understand the effects of systolic and diastolic OPP on normal and diseased retinal vessels.

Ocular Factors

Baseline Best-Corrected Visual Acuity

In both BRVO and CRVO, there was a high association between good BCVA at the outset of therapy and good final BCVA (7, 10, 34). Consistently, the final VA at 12 or 24 months was lower in patients with poor baseline VA in the BRAVO, BRIGHTER, and LUMINOUS investigations, highlighting the necessity for early treatment initiation (3537). In the therapies of retinal and choroidal vascular diseases, the association between good starting vision and good final vision outcome is likely because good starting vision reflects less severe disease and, as a result, a lower likelihood of irreversible damage to photoreceptors or other retinal cells.

The baseline BCVA is an important predictor of VA gains with treatment (34, 38). In the HORIZON extension study, poor initial BCVA is related to considerable improvements in BCVA of patients with CRVO (7). Patients with poor BCVA have a longer path to good final vision, but that longer path affords more opportunities for development. Surprisingly, there was no correlation between poor beginning BCVA and improvement in BCVA of 15 letters in patients with BRVO (7). However, patients with BRVO with lower baseline VA exhibited statistically larger VA improvements at 12 and 24 months, according to the BRAVO and BRIGHTER trials (35, 37). In keeping with these findings, quantitatively larger VA increases were reported among the LUMINOUS research in patients with BRVO with baseline VA of 39– < 60 letters (36). Patients with a baseline VA of 60– < 74, on the other hand, maintained their VA at 12 months with appropriate ranibizumab therapy.

Injection Frequency

In the LUMINOUS research, higher injection frequency was related to higher VA increases in the worldwide population across all enrolling nations (36). The good mean letter gains shown in Year 1 imply that patients with BRVO may not require as many ranibizumab injections as patients with other retinal disorders (such as DME and nAMD) to attain satisfactory visual results (36, 39, 40). Nevertheless, it does confirm the need of maintaining a proper dose to get excellent BCVA results. However, Callizo and colleagues demonstrated that the number of injections had no effect on the change in BCVA in patients with RVO (41), probably because of different kinds of patients with RVO included in the two studies. The relationship between injection frequency and visual acuity in patients with CRVO needs to be further studied.

Duration

The BRIGHTER study discovered that illness duration influenced the treatment results (37). Patients with a BRVO duration of < 3 months and 3–months had statistically better BCVA outcomes than those with a longer illness duration (6–9 months, 9–12 months, and > 12 months). Similarly, Chatziralli et al. concluded that the duration of RVO ≥ 3 months was substantially related to poorer visual acuity in patients with BRVO (9). These results demonstrate the importance of early treatment for patients with BRVO.

Fundus Photographs

On fundus photos, the fovea was determined to be an area of around 1 disc diameter in size, located in the area of deepest xanthophyll pigmentation, roughly 2.5 disc radii temporal, and somewhat inferior to the center of the optic disc (42). Powers et al. (43) studied the relationship between fovea-involving intraretinal hemorrhage (IRH) and visual acuity of acute, treatment-naive BRVO. They showed that despite receiving more intravitreal anti-VEGF injections, eyes with foveal hemorrhage at presentation had worse visual results than those without fovea involving IRH. In the univariate analysis, fovea involving IRH was found to be a significant predictor of final visual result; however, this significance was lost in the multivariate analysis. The difference might be related to the study’s small sample size, as well as other unknown confounding variables. Future research is needed to determine if fovea-involved IRH is a reliable predictor of eventual visual result in eyes with BRVO.

Ultra-Widefield Fluorescein Angiography

Ultra-widefield fluorescein angiography (UWF-FA) accurately assesses leakage, ischemia, and non-perfusion in both the macula and the retinal periphery (44, 45). Several cross-sectional investigations have discovered that retinal non-perfusion and its correlate, the ischemia index (ISI), are inversely related to visual acuity (44, 46). Baseline retinal ischemia indicated by UWF-FA is substantially related to disorganization of retinal inner layers, which predict poor visual acuity at follow-up (47). At present, there is no literature showing the direct relationship between UWF-FA related indicators and final visual acuity.

Previous research has shown that the ISI may have both predictive and prognostic significance; however, accurately assessing the non-perfusion area and total area of the visible retina to compute the ISI is a significant difficulty. Although the ISI is an imperfect measure of non-perfused retina, recent advances in UWF-FA software that reduce the amount of peripheral distortion inherent in widefield images have resulted in more precise calculations of percentages of peripheral non-perfusion, which may help characterize disease severity (48). Other topographic non-perfusion measurement approaches, such as concentric rings centered on the fovea, have also been examined (49, 50).

Electroretinography

Electroretinography (ERG) is a technique for objectively assessing the physiological health of the retina, and it has been widely used in various eye diseases. Full-field ERGs (ffERG) can assess the retinal function of the whole retina (51), and Miyake et al. developed the focal macular ERGs (fmERGs) to assess macular function in various retinal disorders (52). The assessment of prognostic visual acuity in patients with RVO by ERG is summarized below, but the number of patients enrolled in each study was relatively small.

Ogino and colleagues used fmERG to evaluate the physiology of the macula in patients with CRVO and showed that the baseline relative amplitudes of the a-wave, b-wave, and photopic negative response (PhNR) were negatively correlated with baseline LogMAR BCVA (53). Nishimura et al. (54) reported that the baseline amplitudes of the a- and b-waves and the Σoscillatory potentials (ΣOPs, the amplitudes of the OP1, OP2, and OP3) of the fmERG were significantly correlated with the BCVA at month 12, and no correlation between baseline PhNR and 12-month BCVA was observed. However, Moon et al. indicted that pretreatment PhNR relative amplitude showed a good predictive value for good visual outcome at 22 weeks after treatment (55). Therefore, we speculate that PhNR can predict short-term visual acuity in patients with CRVO but has no predictive effect on long-term visual acuity. In a study by Nishimura et al. (56) the average amplitudes of all components, except the a-wave of the fmERGs, were attenuated in the affected eyes at the baseline, and the fmERG amplitudes were not correlated with the final BCVA in patients with BRVO.

Nishimura et al. also reported the reduced amplitudes of the ffERG, ΣOPs, and the PhNR remained unchanged for the 12-month period in patients with CRVO, but they did not state the relationship between amplitudes of the ffERG and BCVA (54). Through their research, they concluded that the recovery of the whole retinal function was minimal in contrast to the recovery of the macular function. Thus, fmERG may be a better predictor of visual acuity than ffERG.

Multifocal ERG (mfERG), which shows the functional effects of the inner retinal layers between the retinal vascular arcades (57), has been used to indicate RVO-related retinal dysfunction (58). Many researchers agree that mfERG is aberrant in patients with RVO (59, 60). Only Bulut et al. reported that no correlation was detected between BCVA and mfERG P wave amplitudes or implicit times (61).

Microperimetry

Microperimetry (MP) is a method for assessing visual function that focuses on the macula and employs targeted light stimulation to quantify contrast sensitivity in specific macular areas. The test provides precise maps of retinal sensitivity (RS) that represent the visual function of the whole macula by employing both static and dynamic stimuli. While the BCVA has long been the most common method of assessing visual function, it focuses primarily on the central foveal function. Microperimetry evaluation of RS and fixation can examine a larger parafoveal region and connect with other complicated binocular processes like reading (62).

According to one research, retinal sensitivity evaluated with MAIA (Center Vue, Padua, Italy) microperimetry 1 day after anti-VEGF therapy was positively associated with BCVA at 1 month in eyes with BVOME (63). Fujino et al. discovered that changes in retinal sensitivity at 1 month were negatively associated with LogMAR BCVA at 3 months after anti-VEGF therapy, showing that retinal sensitivity can be used to predict visual acuity (64). This suggested the potential usefulness of retinal sensitivity in predicting the BCVA prognosis.

Optical Coherence Tomography

Spectral-domain optical coherence tomography (SD-OCT), a non-invasive optical imaging method, is the standard and the most often used technology for objectively evaluating and monitoring therapy efficacy by assessing ME resolution. SD-OCT can analyze more information as the resolution increases. OCT predictors may give predictive value for visual outcomes and visual gains following anti-VEGF drug injection in treatment-naive RVO-ME using OCT analysis based on the identification of specific quantitative or qualitative criteria.

Central Subfield Thickness

The large studies, such as post hoc analyses of standard care vs. corticosteroid for RVO 1 (SCORE1) and the study of comparative treatments for RVO 2 (SCORE2) clinical trials, found no link between baseline central subfield thickness and visual outcomes in RVO eyes treated with grid laser photocoagulation, anti-VEGF therapy, or intravitreal triamcinolone (65, 66). Similarly, a retrospective investigation of 208 BRVO and 123 CRVO eyes treated with anti-VEGF, intravitreal triamcinolone, laser, or a combination according to physician judgment found no link between baseline central subfield thickness and VA at 6 months in either group (38). Chan et al. also discovered that baseline subfield thickness did not predict visual results, but that greater macular thickness variations were linked to worse VA outcomes (67). The effect of mechanical stress on retinal cells might be one reason for the association between macular thickness changes and impaired macular function.

Choroid

The choroid is a highly vascularized network of tissue that supplies oxygen to the outer third of the retina. Enhanced depth imaging optical coherence tomography (EDI-OCT) has made it possible to investigate the choroid at a greater depth, especially by assessing choroidal thickness. Rayess et al. showed that a higher initial subfoveal choroidal thickness was a positive predictor of favorable visual outcomes in patients with BRVO by univariate analysis but not multivariate analysis (68). In contrast Yu et al. (69) reported that choroidal thickness did not impact VA at any time point in patients with BRVO. However, another study examined in detail the choroidal change of RVO (70). In this study, EDI-OCT images were binarized using ImageJ, and the stromal area to total choroidal area (S/C) ratio was computed by measuring subfoveal cross sectional areas of the luminal, stromal, and total choroid across a 1500-m span using EDI-OCT. They discovered that baseline central choroidal thickness was unrelated to baseline or improvement in VA. At 1, 3, and 6 months, the baseline S/C ratio was substantially linked with VA improvement. The total choroidal area and stromal area were not shown to be substantially linked with clinical outcomes. This demonstrated that the increase in choroidal thickness was mostly attributable to stromal area growth rather than luminal region expansion, and that this stromal region expansion indicated choroidal stromal edema. The S/C ratio is a better predictor of treatment response than choroidal thickness, highlighting the need of looking at choroidal structure rather than gross appearance.

External Limiting Membrane

External limiting membrane (ELM), which is regarded as the zonula, adheres between photoreceptors and Müller cells, appears to be a characteristic of photoreceptor function, and its condition may directly indicate the capacity for visual function and/or recovery. Yiu et al. (71) reported that in univariate analyses and multivariate models, baseline ELM disruption was associated with vision before treatment and not with visual acuity at 6 months post-treatment in patients with RVO. In a multivariate analysis, Tang et al. (72) found that the baseline extent of ELM disruption was strongly linked with BCVA at baseline, 1 month, and 3 months following anti-VEGF therapy in patients with RVO. At baseline and 3 months, there was a 0.04 logMAR (2 letters) and 0.02 logMAR (1 letter) loss of vision for every 100 μm of further ELM disturbance. Similarly, several studies have found that having an intact initial ELM predicts a better visual result after anti-VEGF medication in RVO (69, 73). In summary, ELM is an important indicator for predicting final visual acuity in patients with BRVO.

Ellipsoid Zone Disruption

In the bivariate analysis, Tang et al. (72) found that baseline ellipsoid zone (EZ) disruption was negatively connected with BCVA at baseline, 1 month, and 3 months, but not in the multivariate analysis. At baseline, the degree of ELM disruption was shown to be highly associated with the degree of EZ disruption. The level of EZ disruption was not reflected as an independent visual acuity predictor in the multivariate analysis, which might explain why the status of ELM could represent the EZ integrity to some extent. Tang et al. also found that the magnitude of EZ disruption at baseline and its changes over time were related to BCVA improvement at 3 months in the multivariate analysis. At the 3-months treatment, there was a 0.03 logMAR (1.5 letters) improvement in BCVA for every 100 μm of extra increase at the baseline. According to Chan et al. (74), the first 3 months of EZ integrity are reliable predictors of 1-year VA. Over the course of 3 months, a recovery of around 100 μm of EZ disruption predicts a one-line VA increase over 1 year. They speculated there seems to be a 3-month window in which retinal structural evolution influences future VA.

Hyperreflective Foci

On SD-OCT, hyperreflective foci (HF) were characterized as tiny discrete, well-circumscribed, dot-shaped lesions with reflectivity equal to or greater than the RPE band (75). In a multivariate study, Tang et al. (72) observed that HF > 20 at baseline was related to poorer BCVA at each time point. However, no significant relationships with HF at baseline or its changes over time and BCVA improvement at 3 months were detected. Yiu et al. (71) reported that in univariate analyses, not in multivariate regression, the increases in BCVA between baseline and month 7 were linked with intraretinal HF presence. In ischemic CRVO and BRVO, the quantity of HF in the outer retinal layers was linked to a poor visual result according to Bin Mo et al. All their studies pointed to HF as a biomarker for poor visual outcomes. Although the exact cause of HF is unknown, recent research has suggested that it may be caused by extravasated lipoproteins (the precursors of hard exudates), lipid-laden macrophages, photoreceptor degeneration, and activated or over-phagocytosed RPE cells or RPE metaplasia and microglia in an inflammatory environment (7577). HF appears to reflect fluid extravasation produced by the breakdown of the blood–retina barrier in RVO, which eventually leads to hard exudates and ME.

Disorganization of the Retinal Inner Layers

Disorganization of the retinal inner layers (DRIL) was defined as the horizontal extent of the disarray of the boundaries between the ganglion cell–inner plexiform layer complex, inner nuclear layer, and outer plexiform layer (78). A total of 136 eyes in patients with RVO were included in one study (79), and followed up after 8 months. They showed that baseline DRIL correlated with baseline BCVA. The results are entirely consistent with the findings of Babiuch et al. (80), Chan et al. (74). And Mimouni et al. (79) reported that for every 100 um of DRIL at baseline there was 0.03 logMAR less improvement in BCVA at 8 months. And reduction in DRIL at 4 months and 8 months correlated with good BCVA outcome at 8 months. Chan et al. reported that initial 3-month evolution of DRIL were robust predictors of 1-year VA (74). Recovery of approximately 190 mm of DRIL over 3 months predicted a 1-line VA gain over 1 year. Babiuch et al. (80) also adjusted for baseline VA and found that in the CRVO/HRVO group, the absence of DRIL at baseline was associated with larger VA increases at 6 months. At 6 and 12 months, increasing DRIL scores in CRVO/HRVO was linked with less VA improvement. DRIL length at baseline was a predictor of poorer VA at 12 months, according to Yu et al. (69), and DRIL length at 12 months was a predictor of worse final VA.

The extent of DRIL was manually measured and, from a practical perspective, it may be difficult to measure the extent of DRIL. Automatic and objective measures with automated software may simplify this process in the future, providing quantifiable measurements to the practicing ophthalmologist. This would allow the physician to efficiently employ the findings of this study routinely.

Optical Coherence Tomography Angiography

Optical coherence tomography angiography (OCTA) is a non-invasive approach for studying retinal microvasculature. Without dye injection, OCTA depicts the eye microvasculature and its three-dimensional structure in amazing detail and excellent resolution. This enables a more thorough view of the superficial and deep plexuses, allowing for the assessment of vessel density and vasculature in different retinal layers (81). As a result, OCTA has helped researchers better understand the association between layer-specific retinal microvascular alterations and visual outcomes in patients with RVO.

Macular

At baseline, the BCVA was negatively associated with the choriocapillaris flow area, the whole en face (3 mm × 3 mm) vessel density (VD), and the overall parafoveal VD in both the super capillary plexus (SCP) and deep capillary plexus (DCP) in the BRVO, but not in CRVO (82, 83). A cross-sectional study combining OCT and OCTA images showed a significant negative correlation between logMAR VA and FAVD/DFD [the fovea–AV crossing distance (FAVD), optic disc–fovea distance (DFD)] values, but no correlation between logMAR VA and the DAVD/DFD [optic disc-AV crossing distance (DAVD)] in patients with BRVO (84).

The 1-month posttreatment logMAR BCVA was negatively associated with the choriocapillaris flow area in BRVO but not CRVO (82, 83). One study (85) showed that in CRVO following ME resolution, the logMAR BCVA after intravitreal aflibercept treatment was negatively connected with retinal perfusion area for both the SCP and the DCP. In addition, FAZ area in both SCP and DCP following intravitreal aflibercept therapy was positively connected with posttreatment logMAR BCVA. But the other study did not show any significant correlation of VA with FAZ and VD in BRVO after resolution of the CME (86). Winegarner et al. (10) showed that BCVA at 12 months after treatment positively correlated with the initial VD in the SCP and DCP. VD and FAZ were not altered considerably over a year. A multivariate regression analysis found that visual results 12 months following anti-VEGF medication were related to better VD in the SCP and DCP, as well as a smaller FAZ in the SCP and DCP.

Vessel density in the DCP was the most important OCTA metric that was highly connected with BCVA. Studies on RVO animal models revealed that the SCP had more perfusion than DCP because it is directly related to the retinal arterioles. On the other hand, DCP is formed predominantly by venous collecting channels and may be more prone to venous blockage (87, 88). Furthermore, the vascular anatomy of the DCP that involves direct connectivity with major veins, as well as the lack of vascular smooth muscles make DCP most prone to hemodynamic disturbances following RVO and the resulting hypoperfusion than the SCP (8991). The critical role of the DCP in the nourishment of the watershed zone, which is positioned between the inner nuclear layer (INL) and the outer plexiform layer (OPL), includes neuronal synapses transferring vision signals from photoreceptors, therefore hypoperfusion of the DCP might be deleterious to visual function (92).

The cause for these inconsistencies in anatomical results, in contrast to considerable functional gain by VD in RVO, is unknown; however, various possibilities have been suggested. A consistent limitation of these investigations is the image quality acquisition when ME is present. Due to the possible signal attenuation and difficulties in exact retinal plexus delineation of the automatic segmentation tool, severe ME interferes with correct interpretations of OCTA parameters. Furthermore, microvascular macular alterations may cause OCTA quantitative results to be distorted. When there is more ME, vascular density may be exaggerated owing to vessel dilatation. If the blood flow of the dilated vessel is less than 0.3 mm/s on OCTA (90), it is viewed as a cystoid space rather than a vascular venous engorgement.

Disc

In Nicolai’s cohort (93), in CRVO eyes inside disc VD differences between baseline and 4-months post-operative group were statistically significant. The difference in peripapillary VD between the baseline and 1-month groups, as well as the baseline and 4-month groups, was statistically significant. In the fellow eyes, differences in VD values at baseline and posttreatment were not statistically significant. At baseline, 1 month, and 4 months posttreatment, variations in whole image, inside disc, and peripapillary VD were highly statistically significant between the affected eye and the fellow eye. There is limited literature on optic disc blood flow. At present, we have not found literature on the relationship between visual acuity and optic disc blood flow density.

Laser Speckle Flowgraphy

Laser speckle flowgraphy (LSFG) quantifies circulation in the optic nerve head (ONH), choroid, and retinal arteries in vivo by utilizing the laser speckle phenomenon (94, 95). The main output of LSFG is mean blur rate (MBR), a quantitative measure of erythrocyte movement based on laser speckle patterns, and most studies use MBR or a ratio of MBR as a direct correlate of blood flow. Toshifumi Asano et al. used LSFG to assess vessel MBR, tissue MBR, and overall MBR separately in the ONH of patients with BRVO. Their results showed that pre-IVR, 1-month, 6-month post-IVR, overall MBR, and vessel MBR were all negatively correlated with 6-month post-IVR logMAR BCVA. Furthermore, a multiple regression analysis revealed that pre-IVR overall MBR was the independent prognostic factor of 6-month post-IVR logMAR BCVA (33). Matsumoto et al. (96) measured the MBR of the ONH in patients with CRVO to assess microcirculation at the ONH. Both before and after treatment, there was a significant negative correlation between logMAR visual acuity and MBR, with the correlation becoming stronger after treatment. These findings imply that measurements of the independent factors MBR can be used to assess logMAR visual acuity in patients with BRVO and CRVO.

Conclusion

The biomarkers that predict future BCVA in patients with RVO may significantly enhance risk assessment and management decisions. We have summarized published potential prognostic indicators for patients with RVO. The reliable prognostic indicators have been summarized in Tables 1, 2. The current researches on the relationship between UWF-FA parameters and visual acuity in RVO patients are cross-sectional studies, and longitudinal studies are lacking. In addition, there are few studies on the relationship between MP and ERG parameters and prognostic visual acuity in patients with RVO, and the sample sizes of these studies are small. Future studies can focus on the above aspects, and there will be a trend toward multimodal imaging to assess the prognosis of patients with RVO.

TABLE 1
www.frontiersin.org

Table 1. The relationship between non-imaging indicators and visual acuity in patients with retinal vein occlusion.

TABLE 2
www.frontiersin.org

Table 2. The relationship between imaging indicators and visual acuity in patients with retinal vein occlusion.

Author Contributions

SY wrote the manuscript. All authors contributed to manuscript revision, read, and approved the submitted version.

Funding

This work was supported by Shandong Natural Foundation, China, to BZ (ZR2019MH111).

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Rogers S, McIntosh RL, Cheung N, Lim L, Wang JJ, Mitchell P, et al. The prevalence of retinal vein occlusion: pooled data from population studies from the United States, Europe, Asia, and Australia. Ophthalmology. (2010) 117:313–U147. doi: 10.1016/j.ophtha.2009.07.017

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Awdeh RM, Elsing SH, Deramo VA, Stinnett S, Lee PP, Fekrat S. Vision-related quality of life in persons with unilateral branch retinal vein occlusion using the 25-item national eye institute visual function questionnaire. Br J Ophthalmol. (2010) 94:319–23. doi: 10.1136/bjo.2007.135913

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Deramo VA, Cox TA, Dyed AB, Lee PP, Fekrat S. Vision-related quality of life in people with central retinal vein occlusion using the 25-item national eye institute visual function questionnaire. Arch Ophthalmol. (2003) 121:1297–302. doi: 10.1001/archopht.121.9.1297

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Laouri M, Chen E, Looman M, Gallagher M. The burden of disease of retinal vein occlusion: review of the literature. Eye. (2011) 25:981–8. doi: 10.1038/eye.2011.92

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Ho M, Liu DTL, Lam DSC, Jonas JB. Retinal vein occlusions, from basics to the latest treatment. Retina. (2016) 36:432–48. doi: 10.1097/iae.0000000000000843

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Regnier SA, Larsen M, Bezlyak V, Allen F. Comparative efficacy and safety of approved treatments for macular oedema secondary to branch retinal vein occlusion: a network meta-analysis. BMJ Open. (2015) 5:e007527. doi: 10.1136/bmjopen-2014-007527

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Sophie R, Wang PW, Channa R, Quezada-Ruiz C, Clark A, Campochiaro PA. Different factors associated with 2-year outcomes in patients with branch versus central retinal vein occlusion treated with Ranibizumab. Ophthalmology. (2019) 126:1695–702. doi: 10.1016/j.ophtha.2019.07.018

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Lee JY, Yoon YH, Kim HK, Yoon HS, Kang SW, Kim JG, et al. Baseline characteristics and risk factors of retinal vein occlusion: a study by the Korean RVO study group. J Korean Med Sci. (2013) 28:136–44. doi: 10.3346/jkms.2013.28.1.136

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Chatziralli I, Theodossiadis G, Chatzirallis A, Parikakis E, Mitropoulos P, Theodossiadis P. Ranibizumab for retinal vein occlusion predictive factors and long-term outcomes in real-life data. Retina. (2018) 38:559–68. doi: 10.1097/iae.0000000000001579

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Winegarner A, Wakabayashi T, Fukushima Y, Sato T, Hara-Ueno C, Busch C, et al. Changes in retinal microvasculature and visual acuity after antivascular endothelial growth factor therapy in retinal vein occlusion. Invest Ophthalmol Vis Sci. (2018) 59:2708–16. doi: 10.1167/iovs.17-23437

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Le Goff MM, Bishop PN. Adult vitreous structure and postnatal changes. Eye. (2008) 22:1214–22. doi: 10.1038/eye.2008.21

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Salvi SM, Akhtar S, Currie Z. Ageing changes in the eye. Postgrad Med J. (2006) 82:581–7. doi: 10.1136/pgmj.2005.040857

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Gisladottir S, Loftsson T, Stefansson E. Diffusion characteristics of vitreous humour and saline solution follow the Stokes Einstein equation. Graefes Arch Clin Exp Ophthalmol. (2009) 247:1677–84. doi: 10.1007/s00417-009-1141-3

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Schindler RH, Chandler D, Thresher R, Machemer R. The clearance of intravitreal triamcinolone acetonide. Am J Ophthalmol. (1982) 93:415–7. doi: 10.1016/0002-9394(82)90130-1

CrossRef Full Text | Google Scholar

15. Grossniklaus HE, Nickerson JM, Edelhauser HF, Bergman LAMK, Berglin L. Anatomic alterations in aging and age-related diseases of the eye. Invest Ophthalmol Vis Sci. (2013) 54:ORSF23-7. doi: 10.1167/iovs.13-12711

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Ambrose JA, Barua RS. The pathophysiology of cigarette C-V smoking and cardiovascular disease – an update. J Am Coll Cardiol. (2004) 43:1731–7. doi: 10.1016/j.jacc.2003.12.047

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Bridges AB, Hill A, Belch JJ. Cigarette smoking increases white blood cell aggregation in whole blood. J R Soc Med. (1993) 86:139–40.

Google Scholar

18. Langhans M, Michelson G, Groh MJ. Effect of breathing 100% oxygen on retinal and optic nerve head capillary blood flow in smokers and non-smokers. Br J Ophthalmol. (1997) 81:365–9. doi: 10.1136/bjo.81.5.365

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Morgado PB, Chen HC, Patel V, Herbert L, Kohner EM. The acute effect of smoking on retinal blood flow in subjects with and without diabetes. Ophthalmology. (1994) 101:1220–6. doi: 10.1016/s0161-6420(94)31185-7

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Rose K, Flanagan JG, Patel SR, Cheng R, Hudson C. Retinal blood flow and vascular reactivity in chronic smokers. Invest Ophthalmol Vis Sci. (2014) 55:4266–75. doi: 10.1167/iovs.14-14022

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Wimpissinger B, Resch H, Berisha F, Weigert G, Schmetterer L, Polak K. Response of retinal blood flow to systemic hyperoxia in smokers and nonsmokers. Graefes Arch Clin Exp Ophthalmol. (2005) 243:646–52. doi: 10.1007/s00417-004-1083-8

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Patel KV, Mohanty JG, Kanapuru B, Hesdorffer C, Ershler WB, Rifkind JM. Association of the red cell distribution width with red blood cell deformability. In: WJ Welch, F Palm, DF Bruley, DK Harrison editors. Oxygen Transport to Tissue XXXIV. New York, NY: Springer (2013). p. 211–6.

Google Scholar

23. Ozkok A, Nesmith BLW, Schaal S. Association of red cell distribution width values with vision potential in retinal vein occlusion. Ophthalmol Retina. (2018) 2:582–6. doi: 10.1016/j.oret.2017.09.018

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Pinna A, Porcu T, Marzano J, Boscia F, Paliogiannis P, Dore S, et al. Mean platelet volume, red cell distribution width, and complete blood cell count indices in retinal vein occlusions. Ophthalmic Epidemiol. (2021) 28:39–47. doi: 10.1080/09286586.2020.1791349

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Semba RD, Patel KV, Ferrucci L, Sun K, Roy CN, Guralnik JM, et al. Serum antioxidants and inflammation predict red cell distribution width in older women: the women’s health and aging study I. Clin Nutr. (2010) 29:600–4. doi: 10.1016/j.clnu.2010.03.001

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Zalawadiya SK, Veeranna V, Panaich SS, Afonso L. Red cell distribution width and risk of peripheral artery disease: analysis of national health and nutrition examination survey 1999-2004. Vasc Med. (2012) 17:155–63. doi: 10.1177/1358863x12442443

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Onder HI, Kilic AC, Kaya M, Bulur S, Onder E, Tunc M. Relation between platelet indices and branch retinal vein occlusion in hypertensive patients. Indian J Ophthalmol. (2013) 61:160–2. doi: 10.4103/0301-4738.111063

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Bawankar P, Samant P, Lahane T, Parekh R, Lahane S. Mean platelet volume and central retinal vein occlusion in hypertensive patients. Can J Ophthalmol. (2019) 54:275–9. doi: 10.1016/j.jcjo.2018.04.014

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Sahin A, Sahin M, Yuksel H, Turkcu FM, Cinar Y, Cingu AK, et al. The mean platelet volume in patients with retinal vein occlusion. J Ophthalmol. (2013) 2013:236371. doi: 10.1155/2013/236371

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Yilmaz T, Yilmaz A. Altered platelet morphological parameters in patients with retinal vein occlusion. Eur Rev Med Pharmacol Sci. (2016) 20:1934–9.

PubMed Abstract | Google Scholar

31. Hu Z-D, Sun Y, Guo J, Huang Y-L, Qin B-D, Gao Q, et al. Red blood cell distribution width and neutrophil/lymphocyte ratio are positively correlated with disease activity in primary Sjogren’s syndrome. Clin Biochem. (2014) 47:287–90. doi: 10.1016/j.clinbiochem.2014.08.022

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Costa VP, Harris A, Anderson D, Stodtmeister R, Cremasco F, Kergoat H, et al. Ocular perfusion pressure in glaucoma. Acta Ophthalmol (Copenh). (2014) 92:e252–66. doi: 10.1111/aos.12298

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Asano T, Kunikata H, Yasuda M, Nishiguchi KM, Abe T, Nakazawa T. Ocular microcirculation changes, measured with laser speckle flowgraphy and optical coherence tomography angiography, in branch retinal vein occlusion with macular edema treated by ranibizumab. Int Ophthalmol. (2021) 41:151–62. doi: 10.1007/s10792-020-01562-7

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Vaz-Pereira S, Marques IP, Matias J, Mira F, Ribeiro L, Flores R, et al. Real-world outcomes of anti-VEGF treatment for retinal vein occlusion in Portugal. Eur J Ophthalmol. (2017) 27:756–61. doi: 10.5301/ejo.5000943

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Brown DM, Campochiaro PA, Bhisitkul RB, Ho AC, Gray S, Saroj N, et al. Sustained benefits from ranibizumab for macular edema following branch retinal vein occlusion: 12-month outcomes of a phase III study. Ophthalmology. (2011) 118:1594–602. doi: 10.1016/j.ophtha.2011.02.022

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Pearce I, Clemens A, Brent MH, Lu L, Gallego-Pinazo R, Minnelle AM, et al. Real-world outcomes with ranibizumab in branch retinal vein occlusion: the prospective, global, LUMINOUS study. PLoS One. (2020) 15:13. doi: 10.1371/journal.pone.0234739

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Tadayoni R, Waldstein SM, Boscia F, Gerding H, Gekkieva M, Barnes E, et al. Sustained benefits of ranibizumab with or without laser in branch retinal vein occlusion. Ophthalmology. (2017) 124:1778–87. doi: 10.1016/j.ophtha.2017.06.027

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Kim SJ, Yoon YH, Kim HK, Yoon HS, Kang SW, Kim J-G, et al. Baseline predictors of visual acuity and retinal thickness in patients with retinal vein occlusion. J Korean Med Sci. (2015) 30:475–82. doi: 10.3346/jkms.2015.30.4.475

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Holz FG, Figueroa MS, Bandello F, Yang Y, Ohji M, Dai H, et al. Ranibizumab treatment in treatment-naive neovascular age-related macular degeneration results from luminous, a global real-world study. Retina. (2020) 40:1673–85. doi: 10.1097/iae.0000000000002670

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Mitchell P, Sheidow TG, Farah ME, Mahmood S, Minnella AM, Eter N, et al. Effectiveness and safety of ranibizumab 0.5 mg in treatment-naive patients with diabetic macular edema: results from the real-world global LUMINOUS study. PLoS One. (2020) 15:e0233595. doi: 10.1371/journal.pone.0233595

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Callizo J, Ziemssen F, Bertelmann T, Feltgen N, Vogeler J, Koch M, et al. Real-world data: ranibizumab treatment for retinal vein occlusion in the OCEAN study. Clin Ophthalmol. (2019) 13:2167–79. doi: 10.2147/opth.S209253

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Williams TD, Wilkinson JM. Position of the fovea centralis with respect to the optic nerve head. Optometry Vis Sci. (1992) 69:369–77. doi: 10.1097/00006324-199205000-00006

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Powers JH, Thomas AS, Mir TA, Kim JS, Birnbaum FA, Yoon SP, et al. Impact and implication of fovea-involving intraretinal hemorrhage after acute branch retinal vein occlusion. Ophthalmol Retina. (2019) 3:760–6. doi: 10.1016/j.oret.2019.04.005

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Spaide RF. Peripheral areas of nonperfusion in treated central retinal vein occlusion as imaged by wide-field fluorescein angiography. Retina. (2011) 31:829–37. doi: 10.1097/IAE.0b013e31820c841e

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Tsui I, Franco-Cardenas V, Hubschman JP, Yu F, Schwartz SD. Ultra wide field fluorescein angiography can detect macular pathology in central retinal vein occlusion. Ophthalmic Surg Lasers Imag. (2012) 43:257–62. doi: 10.3928/15428877-20120424-01

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Singer M, Tan CS, Bell D, Sadda SR. Area of peripheral retinal nonperfusion and treatment response in branch and central retinal vein occlusion. Retina. (2014) 34:1736–42. doi: 10.1097/iae.0000000000000148

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Berry D, Thomas AS, Fekrat S, Grewal DS. Association of disorganization of retinal inner layers with ischemic index and visual acuity in central retinal vein occlusion. Ophthalmol Retina. (2018) 2:1125–32. doi: 10.1016/j.oret.2018.04.019

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Tan CS, Chew MC, van Hemert J, Singer MA, Bell D, Sadda SR. Measuring the precise area of peripheral retinal non-perfusion using ultra-widefield imaging and its correlation with the ischaemic index. Br J Ophthalmol. (2016) 100:235–9. doi: 10.1136/bjophthalmol-2015-306652

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Nicholson L, Vazquez-Alfageme C, Patrao NV, Triantafyllopolou I, Bainbridge JW, Hykin PG, et al. Retinal nonperfusion in the posterior pole is associated with increased risk of neovascularization in central retinal vein occlusion. Am J Ophthalmol. (2017) 182:118–25. doi: 10.1016/j.ajo.2017.07.015

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Nicholson L, Vazquez-Alfageme C, Ramu J, Triantafyllopoulou I, Patrao NV, Muwas M, et al. Validation of concentric rings method as cross mark a topographic measure of retinal nonperfusion in ultra-widefield fluorescein angiography. Am J Ophthalmol. (2015) 160:1217–25. doi: 10.1016/j.ajo.2015.09.003

PubMed Abstract | CrossRef Full Text | Google Scholar

51. McCulloch DL, Marmor MF, Brigell MG, Hamilton R, Holder GE, Tzekov R, et al. ISCEV standard for full-field clinical electroretinography (2015 update). Doc Ophthalmol. (2015) 131:81–3. doi: 10.1007/s10633-015-9504-z

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Miyake Y. Studies of local macular ERG. Nippon Ganka Gakkai Zasshi. (1988) 92:1419–49.

Google Scholar

53. Ogino K, Tsujikawa A, Nakamura H, Miyamoto K, Murakami T, Muraoka Y, et al. Focal macular electroretinogram in macular edema secondary to central retinal vein occlusion. Invest Ophthalmol Vis Sci. (2011) 52:3514–20. doi: 10.1167/iovs.10-7142

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Nishimura T, Machida S, Hara Y. Changes of focal macular and full-field electroretinograms after intravitreal aflibercept in patients with central retinal vein occlusion. Doc Ophthalmol. (2020) 141:169–79. doi: 10.1007/s10633-020-09762-3

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Moon CH, Ahn SI, Ohn Y-H, Kwak HW, Park TK. Visual prognostic value of photopic negative response and optical coherence tomography in central retinal vein occlusion after anti-VEGF treatment. Doc Ophthalmol. (2013) 126:211–9. doi: 10.1007/s10633-013-9379-9

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Nishimura T, Machida S, Tada A, Oshida E, Muto T. Macular function following intravitreal ranibizumab for macular edema associated with branch retinal vein occlusion: 12-month results. Doc Ophthalmol. (2020) 141:127–36. doi: 10.1007/s10633-020-09757-0

PubMed Abstract | CrossRef Full Text | Google Scholar

57. Hood DC, Frishman LJ, Saszik S, Viswanathan S. Retinal origins of the primate multifocal ERG: implications for the human response. Invest Ophthalmol Vis Sci. (2002) 43:1673–85.

PubMed Abstract | Google Scholar

58. Abdel-Kader M, El-Dessouky WM. Multifocal electroretinogram in retinal vein occlusion. Saudi J Ophthalmol. (2010) 24:125–32. doi: 10.1016/j.sjopt.2010.04.005

PubMed Abstract | CrossRef Full Text | Google Scholar

59. Dolan FM, Parks S, Keating D, Dutton GN, Evans AL. Multifocal electroretinographic features of central retinal vein occlusion. Invest Ophthalmol Vis Sci. (2003) 44:4954–9. doi: 10.1167/iovs.03-0083

PubMed Abstract | CrossRef Full Text | Google Scholar

60. Ikeda J, Hasegawa S, Suzuki K, Ichibe M, Tanimoto N, Usui T, et al. Multifocal electroretinograms in patients with retinal vein occlusion. Nippon Ganka Gakkai Zasshi. (2004) 108:84–91.

Google Scholar

61. Bulut MN, Calli U, Akcay G, Kivrak U, Bulut K, Ozerturk Y. Effects of dexamethasone implant on multifocal electroretinography in central retinal vein occlusion. J Ophthal Vis Res. (2018) 13:23–8. doi: 10.4103/jovr.jovr_118_16

CrossRef Full Text | Google Scholar

62. Finger RP, Issa PC, Fimmers R, Holz FG, Rubin GS, Scholl HPN. Reading performance is reduced by parafoveal scotomas in patients with macular telangiectasia type 2. Invest Ophthalmol Vis Sci. (2009) 50:1366–70. doi: 10.1167/iovs.08-2032

PubMed Abstract | CrossRef Full Text | Google Scholar

63. Sugimoto M, Ichio A, Kondo M. Importance of central retinal sensitivity for prediction of visual acuity after intravitreal bevacizumb in eyes with macular edema associated with branch retinal vein occlusion. PLoS One. (2016) 11:e0149246. doi: 10.1371/journal.pone.0149246

PubMed Abstract | CrossRef Full Text | Google Scholar

64. Fujino R, Asaoka R, Aoki S, Sugiura A, Kusakabe M, Asano-Shimizu K, et al. The usefulness of the retinal sensitivity measurement with a microperimetry for predicting the visual prognosis of branch retinal vein occlusion with macular edema. Graefes Arch Clin Exp Ophthalmol. (2020) 258:1949–58. doi: 10.1007/s00417-020-04759-9

PubMed Abstract | CrossRef Full Text | Google Scholar

65. Scott IU, VanVeldhuisen PC, Ip MS, Blodi BA, Oden NL, King J, et al. Baseline factors associated with 6-month visual acuity and retinal thickness outcomes in patients with macular edema secondary to central retinal vein occlusion or hemiretinal vein occlusion SCORE2 study report 4. JAMA Ophthalmol. (2017) 135:639–49. doi: 10.1001/jamaophthalmol.2017.1141

PubMed Abstract | CrossRef Full Text | Google Scholar

66. Scott IU, VanVeldhuisen PC, Oden NL, Ip MS, Blodi BA, Hartnett ME, et al. Baseline predictors of visual acuity and retinal thickness outcomes in patients with retinal vein occlusion: standard care versus COrticosteroid for REtinal vein occlusion study report 10. Ophthalmology. (2011) 118:345–52. doi: 10.1016/j.ophtha.2010.06.034

PubMed Abstract | CrossRef Full Text | Google Scholar

67. Chen AX, Greenlee TE, Conti TF, Briskin IN, Singh RP. Fluctuations in macular thickness in patients with retinal vein occlusion treated with anti-vascular endothelial growth factor agents. Ophthalmol Retina. (2020) 4:1158–69. doi: 10.1016/j.oret.2020.05.018

PubMed Abstract | CrossRef Full Text | Google Scholar

68. Rayess N, Rahimy E, Ying G-S, Pefkianaki M, Franklin J, Regillo CD, et al. Baseline choroidal thickness as a short-term predictor of visual acuity improvement following antivascular endothelial growth factor therapy in branch retinal vein occlusion. Br J Ophthalmol. (2019) 103:55–9. doi: 10.1136/bjophthalmol-2018-311898

PubMed Abstract | CrossRef Full Text | Google Scholar

69. Yu JJ, Thomas AS, Berry D, Yoon S, Fekrat S, Grewal DS. Association of retinal inner layer disorganization with ultra-widefield fluorescein angiographic features and visual acuity in branch retinal vein occlusion. Ophthalmic Surg Lasers Imag Retina. (2019) 50:354–64. doi: 10.3928/23258160-20190605-03

PubMed Abstract | CrossRef Full Text | Google Scholar

70. Mitamura Y, Enkhmaa T, Sano H, Niki M, Murao F, Egawa M, et al. Changes in choroidal structure following intravitreal aflibercept therapy for retinal vein occlusion. Br J Ophthalmol. (2021) 105:704–10. doi: 10.1136/bjophthalmol-2020-316214

PubMed Abstract | CrossRef Full Text | Google Scholar

71. Yiu G, Welch RJ, Wang Y, Wang Z, Wang P-W, Haskova Z. Spectral-domain OCT predictors of visual outcomes after ranibizumab treatment for macular edema resulting from retinal vein occlusion. Ophthalmol Retina. (2020) 4:67–76. doi: 10.1016/j.oret.2019.08.009

PubMed Abstract | CrossRef Full Text | Google Scholar

72. Tang FS, Qin XH, Lu JM, Song P, Li MS, Ma X. Optical coherence tomography predictors of short-term visual acuity in eyes with macular edema secondary to retinal vein occlusion treated with intravitreal conbercept. Retina. (2020) 40:773–85. doi: 10.1097/iae.0000000000002444

PubMed Abstract | CrossRef Full Text | Google Scholar

73. Liu H, Li S, Zhang Z, Shen J. Predicting the visual acuity for retinal vein occlusion after ranibizumab therapy with an original ranking for macular microstructure. Exp Ther Med. (2018) 15:890–6. doi: 10.3892/etm.2017.5437

PubMed Abstract | CrossRef Full Text | Google Scholar

74. Chan EW, Eldeeb M, Sun V, Thomas D, Omar A, Kapusta MA, et al. Disorganization of retinal inner layers and ellipsoid zone disruption predict visual outcomes in central retinal vein occlusion. Ophthalmol Retina. (2019) 3:83–92. doi: 10.1016/j.oret.2018.07.008

PubMed Abstract | CrossRef Full Text | Google Scholar

75. Lee H, Lee J, Chung H, Kim HC. Baseline spectral domain optical coherence tomographic hyperreflective foci as a predictor of visual outcome and recurrence for central serous chorioretinopathy. Retina. (2016) 36:1372–80. doi: 10.1097/iae.0000000000000929

PubMed Abstract | CrossRef Full Text | Google Scholar

76. Lee H, Ji B, Chung H, Kim HC. Correlation between optical coherence tomographic hyperreflective foci and visual outcomes after anti-VEGF treatment in neovascular age-related macular degeneration and polypoidal choroidal vasculopathy. Retina. (2016) 36:465–75. doi: 10.1097/iae.0000000000000645

PubMed Abstract | CrossRef Full Text | Google Scholar

77. Piri N, Nesmith BLW, Schaal S. Choroidal hyperreflective foci in stargardt disease shown by spectral-domain optical coherence tomography imaging correlation with disease severity. JAMA Ophthalmol. (2015) 133:398–405. doi: 10.1001/jamaophthalmol.2014.5604

PubMed Abstract | CrossRef Full Text | Google Scholar

78. Sun JK, Lin MM, Lammer J, Prager S, Sarangi R, Silva PS, et al. Disorganization of the retinal inner layers as a predictor of visual acuity in eyes with center-involved diabetic macular edema. JAMA Ophthalmol. (2014) 132:1309–16. doi: 10.1001/jamaophthalmol.2014.2350

PubMed Abstract | CrossRef Full Text | Google Scholar

79. Mimouni M, Segev O, Dori D, Geffen N, Flores V, Segal O. Disorganization of the retinal inner layers as a predictor of visual acuity in eyes with macular edema secondary to vein occlusion. Am J Ophthalmol. (2017) 182:160–7. doi: 10.1016/j.ajo.2017.08.005

PubMed Abstract | CrossRef Full Text | Google Scholar

80. Babiuch AS, Han M, Conti FF, Wai K, Silva FQ, Singh RP. Association of disorganization of retinal inner layers with visual acuity response to anti-vascular endothelial growth factor therapy for macular edema secondary to retinal vein occlusion. JAMA Ophthalmol. (2019) 137:38–46. doi: 10.1001/jamaophthalmol.2018.4484

PubMed Abstract | CrossRef Full Text | Google Scholar

81. Or C, Sabrosa AS, Sorour O, Arya M, Waheed N. Use of OCTA, FA, and ultra-widefield imaging in quantifying retinal ischemia: a review. Asia Pac J Ophthalmol. (2018) 7:46–51. doi: 10.22608/apo.201812

PubMed Abstract | CrossRef Full Text | Google Scholar

82. Deng Y, Cai X, Zhang S, Su L, Chen H, Lin Y, et al. Quantitative analysis of retinal microvascular changes after conbercept therapy in branch retinal vein occlusion using optical coherence tomography angiography. Ophthalmologica. (2019) 242:69–80. doi: 10.1159/000499608

PubMed Abstract | CrossRef Full Text | Google Scholar

83. Deng Y, Zhong Q-W, Zhang A-Q, Cai X-J, Lu M-Z, Zhang S-C, et al. Microvascular changes after conbercept therapy in central retinal vein occlusion analyzed by optical coherence tomography angiography. Int J Ophthalmol. (2019) 12:802–8. doi: 10.18240/ijo.2019.05.16

PubMed Abstract | CrossRef Full Text | Google Scholar

84. Arslan GD, Guven D, Demir M, Alkan AA, Ozcan D. Microvascular and functional changes according to the fundus location of the affected arteriovenous crossing in patients with branch retinal vein occlusion. Indian J Ophthalmol. (2021) 69:1189–96. doi: 10.4103/ijo.IJO_1018_20

CrossRef Full Text | Google Scholar

85. Winegarner A, Wakabayashi T, Hara-Ueno C, Sato T, Busch C, Fukushima Y, et al. Retinal microvasculature and visual acuity after intravitreal aflibercept in eyes with central retinal vein occlusion an optical coherence tomography angiography study. Retina. (2018) 38:2067–72. doi: 10.1097/iae.0000000000001828

PubMed Abstract | CrossRef Full Text | Google Scholar

86. Brar M, Sharma M, Grewal SPS, Grewal DS. Quantification of retinal microvasculature and neurodegeneration changes in branch retinal vein occlusion after resolution of cystoid macular edema on optical coherence tomography angiography. Indian J Ophthalmol. (2019) 67:1864–9. doi: 10.4103/ijo.IJO_1554_18

CrossRef Full Text | Google Scholar

87. Mastropasqua R, Di Antonio L, Di Staso S, Agnifili L, Di Gregorio A, Ciancaglini M, et al. Optical coherence tomography angiography in retinal vascular diseases and choroidal neovascularization. J Ophthalmol. (2015) 2015:343515. doi: 10.1155/2015/343515

PubMed Abstract | CrossRef Full Text | Google Scholar

88. Suzuki N, Hirano Y, Tomiyasu T, Esaki Y, Uemura A, Yasukawa T, et al. Retinal hemodynamics seen on optical coherence tomography angiography before and after treatment of retinal vein occlusion. Invest Ophthalmol Vis Sci. (2016) 57:5681–7. doi: 10.1167/iovs-16-20648

PubMed Abstract | CrossRef Full Text | Google Scholar

89. Coscas F, Glacet-Bernard A, Miere A, Caillaux V, Uzzan J, Lupidi M, et al. Optical coherence tomography angiography in retinal vein occlusion: evaluation of superficial and deep capillary plexa. Am J Ophthalmol. (2016) 161:160–71. doi: 10.1016/j.ajo.2015.10.008

PubMed Abstract | CrossRef Full Text | Google Scholar

90. Samara WA, Shahlaee A, Sridhar J, Khan MA, Ho AC, Hsu J. Quantitative optical coherence tomography angiography features and visual function in eyes with branch retinal vein occlusion. Am J Ophthalmol. (2016) 166:76–83. doi: 10.1016/j.ajo.2016.03.033

PubMed Abstract | CrossRef Full Text | Google Scholar

91. Wakabayashi T, Sato T, Hara-Ueno C, Fukushima Y, Sayanagi K, Shiraki N, et al. Retinal microvasculature and visual acuity in eyes with branch retinal vein occlusion: imaging analysis by optical coherence tomography angiography. Invest Ophthalmol Vis Sci. (2017) 58:2087–94. doi: 10.1167/iovs.16-21208

PubMed Abstract | CrossRef Full Text | Google Scholar

92. Adhi M, Bonini Filho MA, Louzada RN, Kuehlewein L, de Carlo TE, Baumal CR, et al. Retinal capillary network and foveal avascular zone in eyes with vein occlusion and fellow eyes analyzed with optical coherence tomography angiography. Invest Ophthalmol Vis Sci. (2016) 57:OCT486–94. doi: 10.1167/iovs.15-18907

PubMed Abstract | CrossRef Full Text | Google Scholar

93. Nicolai M, Franceschi A, De Turris S, Rosati A, Pirani V, Mariotti C. Papillary vessel density changes after intravitreal anti-VEGF injections in hypertensive patients with central retinal vein occlusion: an angio-OCT study. J Clin Med. (2019) 8:1636. doi: 10.3390/jcm8101636

PubMed Abstract | CrossRef Full Text | Google Scholar

94. Nagahara M, Tamaki Y, Tomidokoro A, Araie M. In vivo measurement of blood velocity in human major retinal vessels using the laser speckle method. Invest Ophthalmol Vis Sci. (2011) 52:87–92. doi: 10.1167/iovs.09-4422

PubMed Abstract | CrossRef Full Text | Google Scholar

95. Sugiyama T, Araie M, Riva CE, Schmetterer L, Orgul S. Ocular Blood flow res A. Use of laser speckle flowgraphy in ocular blood flow research. Acta Ophthalmol (Copenh). (2010) 88:723–9. doi: 10.1111/j.1755-3768.2009.01586.x

PubMed Abstract | CrossRef Full Text | Google Scholar

96. Matsumoto M, Suzuma K, Akiyama F, Yamada K, Harada S, Tsuiki E, et al. Retinal vascular resistance significantly correlates with visual acuity after 1 year of anti-VEGF therapy in central retinal vein occlusion. Transl Vis Sci Technol. (2021) 10:19–19. doi: 10.1167/tvst.10.11.19

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: branch retinal vein occlusion, central retinal vein occlusion, visual activity, prognostic, indicators

Citation: Yin S, Cui Y, Jiao W and Zhao B (2022) Potential Prognostic Indicators for Patients With Retinal Vein Occlusion. Front. Med. 9:839082. doi: 10.3389/fmed.2022.839082

Received: 19 December 2021; Accepted: 16 February 2022;
Published: 25 May 2022.

Edited by:

Feng Wen, Sun Yat-sen University, China

Reviewed by:

Veena Rao Raiji, Rush University, United States
Murat Kucukevcilioglu, University of Health Sciences, Turkey

Copyright © 2022 Yin, Cui, Jiao and Zhao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Bojun Zhao, MTUxNjg4NjA3MDhAMTYzLmNvbQ==

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.