Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

# Rapid Central Visual Field Progression Rate in Eyes with Open-Angle Glaucoma and Choroidal Microvasculature Dropout

## Abstract

Central visual field (CVF) loss has been linked to poorer vision-related quality of life in eyes with open-angle glaucoma (OAG) and can occur even in early-stage OAG eyes. The present study investigated whether the detection of choroidal microvasculature dropout (CMvD) during follow-up, which may be a sign of perfusion deficiency in the optic nerve head, is associated with rapid rate of CVF loss in early-stage OAG eyes. This study included 44 Korean OAG eyes with CMvD, identified by optical coherence tomography angiography, and 44 Korean OAG eyes without CMvD matched for age and severity of visual field loss at initial presentation. The rates of mean threshold changes in global and CVF were compared in eyes with and without CMvD using a linear mixed model. Clinical variables associated with rapid rate of CVF progression were also identified using a linear mixed model. The CVF progression rate was significantly higher in eyes with CMvD than in those without CMvD (−0.584 dB/year vs. −0.190 dB/year; P < 0.001) and detection of CMvD during follow-up was an independent predictor of rapid CVF progression rate. The presence of CMvD may aid in identification of high-risk patients who may show faster CVF progression and require more aggressive treatment.

## Introduction

Choroidal microvasculature dropout (CMvD) within β-zone parapapillary atrophy (β-PPA), as detected by optical coherence tomography angiography (OCT-A), may represent choroidal vascular impairment within β-PPA adjacent to the optic nerve head (ONH)1,2 Because the parapapillary choroid is closely associated with ONH perfusion due to its proximity to and common blood supply from the short posterior ciliary (SPC) artery3,4,5, the presence of CMvD may indicate decreased perfusion of the ONH in glaucomatous eyes. Eyes with CMvD may therefore be associated with greater susceptibility to progressive glaucomatous damage owing to vascular insufficiency in the ONH and its surrounding structures. Recently, CMvD detected during follow-up has been associated with a higher probability of retinal nerve fiber layer (RNFL) thinning, especially in eyes with open-angle glaucoma (OAG) accompanied by disc hemorrhage (DH), or visual field (VF) progression6,7. Nevertheless, the clinical implications of CMvD remain elusive, particularly with respect to its prognostic role in glaucoma during follow-up.

The central visual field (CVF), which includes the 12 points in the central 10° VF area on standard 24-2 VF testing, is of paramount importance, as it is linked to vision-related quality of life (QOL) measured by the National Eye Institute Visual Function Questionnaire8. Patients with glaucoma assign the greatest importance to tasks that use the CVF, such as reading and driving9,10. Therefore, CVF preservation is a key concern in glaucoma management. Our group previously reported that CMvD is associated with CVF loss in glaucoma patients11, indicating that CMvD may have important clinical relevance to CVF preservation during glaucoma management.

Because CMvD may indicate perfusion deficiency in the ONH and is associated with CVF loss, we hypothesized that glaucomatous eyes with CMvD may be at greater risk of rapid CVF progression than glaucomatous eyes without CMvD. To our knowledge, however, it has not been determined whether the detection of CMvD is associated with a higher rate of VF loss at a specific location (i.e., the CVF region) in glaucoma patients. Thus, this study was designed to evaluate the relationship between the detection of CMvD during follow-up and the rate of CVF deterioration by comparing the rates of global and central VF progression in OAG eyes with and without CMvD. This study also analyzed the clinical variables associated with rapid CVF progression in patients with early-stage OAG.

## Results

Ninety-four consecutive OAG eyes of 79 patients that met the initial inclusion criteria were evaluated. Of these, six eyes (6.4%) from six patients (7.6%) were excluded because the quality of their OCT-A images was too poor for CMvD evaluation. Thus, 88 OAG eyes of 73 patients met our final inclusion criteria, including 44 OAG eyes with CMvD and 44 OAG eyes without CMvD matched for age and VF mean deviation (MD). Interobserver agreement regarding the determination of the presence of CMvD was excellent (k = 0.975, P < 0.001). The intraclass correlation coefficients (ICC) for measurements of β-PPA-to-optic disc area ratio (β-PPA/disc area) was 0.986 (95% confidence interval [CI], 0.977–0.991; P < 0.001).

The demographic and clinical characteristics of the two groups are summarized in Table 1. The two groups differed significantly in gender distribution, β-PPA/disc area ratio, incidence of baseline CVF defects and of VF progression based on GPA (guided progression analysis) during follow-up, and number of VF tests (P < 0.05 each). However, there were no significant between group differences in age; laterality; Axial length (AL); spherical equivalent (SE); central corneal thickness (CCT); number of topical eye medications; incidence of DH; baseline location of hemifield VF defects (superior vs. inferior); baseline and follow-up mean and peak intraocular pressure (IOP); IOP fluctuation (standard deviation [SD]) of IOP); follow-up period; baseline/last follow-up VF MD; and baseline pattern standard deviation (PSD) (P > 0.05 each). Furthermore, the presence of hypertension, diabetes mellitus, Raynaud symptoms, and migraine, as well as Systolic blood pressure (SBP), diastolic blood pressure (DBP), and Mean ocular perfusion pressure (MOPP), did not differ significantly in the two groups (P > 0.05 each).

The global rates of VF progression differed significantly in the eyes without CMvD (CMvD−) and with CMvD (CMvD+) (−0.200 dB/year vs. −0.416 dB/year; P = 0.002), after adjusting for covariates, including age, gender, SE, CCT, mean IOP, follow-up IOP fluctuation, and baseline MD (Fig. 1A). The rates of CVF progression in the central 10° and peripheral 10° to 24° regions differed significantly in the CMvD− and CMvD+ groups (−0.190 dB/year vs. −0.584 dB/year, P < 0.001), whereas the rates of VF progression in the peripheral VF region did not differ significantly in these groups (−0.206 dB/year vs. −0.247 dB/year, P = 0.824, Fig. 1B). When divided into superior and inferior regions (Fig. 1C), the rate of VF progression in the CMvD− and CMvD+ groups differed significantly in the superior center region (−0.221 dB/year vs. −0.897 dB/year, P < 0.001), but not in the inferior center region (−0.172 dB/year vs. −0.281 dB/year, P = 0.510).

Multivariate analysis using a linear mixed model that controlled for all covariates showed that the presence of CMvD (P < 0.001) and IOP fluctuation during follow-up (P = 0.025) were independent risk factor for global rapid rates of VF progression. Moreover, the presence of CMvD and IOP fluctuation during follow-up were independently associated with rapid VF progression rate in the superior center as well as in the center (P < 0.05 each). CCT was also independently associated with a rapid rate of VF progression in the superior central region (P = 0.009, Table 2).

Table 3 shows the results of univariate and multivariate logistic regression analyses assessing clinical variables associated with overall VF progression, with a generalized estimating equation (GEE) model used to adjust for potential inter-eye associations of the same patients. Multivariate logistic analyses showed that the presence of CMvD, DH, and large β-PPA/disc area were independently associated with VF progression (P < 0.05 each).

Table 4 shows the results of structural progression rates and frequency of progression based on the GPA software provided by the Cirrus spectral-domain optical coherence tomography (SD-OCT). The average and superior quadrant RNFL progression rates were significantly faster in the CMvD+ group than in the CMvD− group. The average and inferior hemi-macular ganglion cell inner plexiform layer (GCIPL) progression rates were also significantly faster in the CMvD+ group than in the CMvD− group. The event-based progression analysis shows that eyes with CMvD had significantly greater frequency of structural progression using both RNFL and GCIPL parameters compared to those without CMvD.

Representative patients are described in Fig. 2A,B. A 65-year-old woman with OAG in the right eye but without CMvD showed superior hemifield scotoma at baseline, with no significant VF progression during follow-up. By comparison, a 60-year-old woman with OAG in the left eye and CMvD, matched for age and VF severity with representative case in Fig. 2A at baseline, showed a single inferior CMvD on the choroidal layer during OCT-A imaging and a rapid CVF progression rate, particularly in the superior central region.

## Discussion

CVF damage is common in eyes with early-stage OAG12,13, with rapid progression of CVF loss during the course of disease being devastating to glaucoma patients. The current study showed that CVF progression rates at the 12 central-most points on 24-2 VF tests were significantly higher in CMvD+ than in CMvD− eyes. This finding was further validated by the results of a multivariate linear mixed model, which showed that the presence of CMvD was independently associated with rapid CVF loss after controlling for other covariates related to VF progression. Consequently, along with DH and large β-PPA/disc area, detection of CMvD during follow-up was significantly associated with overall VF progression in eyes with OAG. These findings may help elucidate the nature of the relationship between the detection of CMvD during follow-up and the rate of CVF loss, as well as providing important insights into the clinical implications of CMvD on glaucoma prognosis related to CVF loss in eyes with early-stage OAG.

Choroidal vessel density (VD) maps of the ONH obtained by OCT-A show the presence of CMvD within the β-PPA. Although the pathogenesis of CMvD remains unclear, CMvD detected during follow-up is associated with progressive RNFL thinning or VF loss in patients with OAG6,7. Because CMvD represents a localized perfusion defect of choriocapillaries and choroidal microvessels1,2,7, the occurrence of CMvD may indicate hypo-perfusion to deep-layer structures of optic disc, such as prelaminar or laminar tissue. Because IOP-independent factors, such as vascular insufficiency to the ONH, may play an important role in the prognosis of OAG eyes14,15,16, CMvD may be considered a potential clinical sign or clue associated with glaucoma progression. Indeed, a higher percentage of VF progression was observed in eyes with than without CMvD, despite their having similar IOP profiles during follow-up. Nonetheless, further prospective studies are needed to determine whether baseline CMvD is associated with higher rates of VF progression.

CMvD during follow-up was recently reported to be associated with a greater likelihood of global VF progression in OAG patients7. Because glaucoma is a progressive disease, assessing the rate of VF progression, especially CVF progression, is undoubtedly important in patient management. Rapid CVF deterioration, even during early stages of glaucoma, can significantly hinder daily activities of glaucoma patients. The current study showed that global VF progression rates differed significantly in groups of patients with and without CMvD during follow-up (−0.416 dB/year vs. −0.200 dB/year, P = 0.002). More importantly, analyses of region-specific rates of VF progression showed a significantly faster progression rate of CVF in the CMvD+ than in the CMvD− group (−0.584 dB/year vs. −0.190 dB/year, P < 0.001), indicating the need for a more aggressive treatment strategy in patients with CMvD+ to hinder more rapid CVF loss during follow-up. By contrast, VF progression rates in the peripheral region (10° to 24°) did not differ significantly in these two groups (−0.247 dB/year and −0.206 dB/year, P = 0.824).

In addition to VF progression, the progression rate and progression incidence of RNFL and GCIPL were also compared between the 2 groups using trend- and event-based analysis. The CMvD+ group showed significantly faster average RNFL (−0.80 µm/year vs. −0.39 µm/year, P = 0.009) and GCIPL (−0.72 µm/year vs. −0.40 µm/year, P = 0.009) progression rates and higher incidence of structural progression compared to CMvD- group (P = 0.001 for RNFL, P = 0.002 for GCIPL, respectively). In line with faster superior CVF progression rate, the rate of GCIPL thickness loss was also significantly faster at the inferior hemi-macular region in the CMvD+ eyes compared to CMvD− eyes in our study (−0.90 µm/year vs. −0.44 µm/year, P = 0.016). Since the loss of GCIPL thickness is closely related to CVF defects17,18, the rapid loss of GCIPL thickness might have resulted in greater speed of CVF deterioration as seen in the CMvD+ eyes.

Several hypotheses may explain the faster rate of VF progression in the central 10° area of eyes with than without CMvD. Parafoveal scotoma in patients with early glaucoma is often associated with risk factors closely linked to vascular insufficiency to the ONH, such as hypotension, migraine, Raynaud’s phenomenon, and sleep apnea19. Further, patients with normal-tension glaucoma (NTG) accompanied by increased fluctuation of ocular perfusion pressure (OPP) due to excessive nocturnal BP dip often present with CVF scotoma20. This finding suggests that glaucoma pathogenesis in at least some OAG patients with CVF defects may involve a vascular mechanism. Consequently, eyes with signs of hypo-perfusion to the ONH, such as those with CMvD, may show a faster rate of VF progression in the CVF area than eyes without CMvD. Another explanation is that the most common pattern of VF progression in glaucoma is the deepening of an existing scotoma, followed by expansion21,22. Because CVF progression reflects the deepening or expansion of pre-existing initial CVF defects in eyes with CMvD, the rate of CVF progression is likely to be faster in eyes with than without CMvD.

The incidence of DH in the current study was 25% in the CMvD− and 29.5% in the CMvD+ group, respectively. The prevalence of DH in normal-tension glaucoma (NTG) patients is known to be around 25%23, which is consistent with that of our study consisting of NTG patients. It is well known that DH is significantly associated with future VF progression15,24,25,26, but there are conflicting results in the literature regarding the relationship between CMvD and DH. While recent study by Rao et al.27 showed that the prevalence of CMvD was significantly greater in OAG eyes with DH compared with those without DH, Suh et al.1 reported that DH was not found to be significantly associated with CMvD. In our study, there was no significant difference in terms of prevalence of DH between eyes with and those without CMvD, although the prevalence of DH in the CMvD+ group was slightly higher than that of CMvD-group. Prospective and longitudinal studies with large number of patients with DH will be needed in the future to elucidate this important relationship.

CMvDs are most frequently found in the inferotemporal (IT) sector within the β-PPA (7–8 o’clock), a location consistent with the macular vulnerability zone (MVZ) in the retina, which corresponds to the superior CVF area in 24-2 VF testing. This zone is particularly susceptible to glaucomatous damage12. Therefore, the detection of CMvD may be topographically related to poor prognosis of the superior CVF during the course of disease. In addition, VF defects progress more rapidly in the superior than in the inferior hemifield of eyes with OAG28,29,30. One study reported that the VF progression rate of the superior central 10° (−0.911 dB/year) in NTG eyes with initial superior hemifield defects was significantly faster than that of the inferior central 10° (−0.16 dB/year) in eyes with initial inferior hemifield defects28. Despite differences in the study populations and research designs, our results are in agreement with earlier findings, in that the VF progression rate was higher in eyes with CMvD in the superior (−0.897 dB/year) than in the inferior (−0.281 dB/year) 10° zone. All eyes (n = 88) in this study had NTG, a mean baseline IOP of 15.1 mmHg, and untreated IOPs within a normal range (<22 mmHg) during all outpatient visits.

Multivariate analysis using a linear mixed model showed that the detection of CMvD was an independent predictor of rapid VF progression in the center and superior center zones. Of the 44 eyes with CMvD in the present study, 42 eyes (95.5%) had CMvD in the IT sector within the β-PPA, whereas the other two eyes (4.5%) had CMvD in the superotemporal sector within the β-PPA. These findings were consistent with those of previous studies2,31. Although there is no clear explanation for the predominant occurrence of CMvD in the IT sector, the juxtapapillary choroid was found to be thinnest in the IT sector around the ONH32,33. Thus, the amount of blood flow from the branches of the SPC artery to the IT sector of the juxtapapillary choroid may be the lowest among various sectors around the ONH. This, in turn, may contribute to vascular insufficiencies, such as CMvD, in the IT sector of eyes with glaucoma.

Multivariate logistic regression analysis also showed that the detection of CMvD, DH, and the extent of β-PPA/disc were associated with overall VF progression in eyes with early-stage OAG. Although DH was shown to be a risk factor for glaucoma progression34, the presence of CMvD and β-PPA/disc area were also identified as risk factors for VF progression in the current study. Because the peripapillary choroidal microvasculatures are supplied by SPC arteries, which also perfuse prelaminar and laminar tissues3,35, the development of CMvD may indicate vascular compromise in the ONH. This may induce ischemic damage to the ONH by restricting the axonal transport of neurotrophic factors by mitochondria due to hypoxia and by releasing toxic substances that may also have negative effects on axonal function36. This, in turn, may facilitate the apoptosis of remaining RGCs and contribute to VF progression. In the current study, the β-PPA/disc area ratio was used to minimize the effect of photographic magnification error and to represent the dimensions of β-PPA37,38. β-PPA occurs more frequently in glaucomatous than in nonglaucomatous eyes and is associated with an increased risk of glaucoma progression39,40,41,42. Therefore, our findings are consistent with those of studies indicating that large β-PPA may be a risk factor for disease progression in OAG eyes.

This study had several limitations. First, because OCT-A is a relatively new technology, we acquired OCT-A images during follow-up after its introduction in 2016. To evaluate the temporal relationship between CMvD and CVF progression, prospective studies with OCT-A imaging acquired at baseline are needed. Despite this limitation, most of the CMvD+ eyes (64%, n = 28) presented with CVF defects, compared with only 18% (n = 8) of the CMvD− eyes, suggesting that a significant number of eyes with CVF defects may have had CMvD at baseline. In addition, because CMvD detected in OAG eyes during follow-up indicates a more rapid rate of CVF progression, these eyes deserve greater attention and more aggressive treatment during follow-up. Second, only early-stage OAG eyes were included. Thus, the results of this study may be difficult to apply to eyes with advanced glaucoma. However, we attempted to measure CVF progression rate in eyes with early-stage OAG, as the goal of glaucoma management is to detect and reduce the rate of glaucomatous VF progression at an early stage. In addition, a comparison of CVF progression rates in early-stage OAG eyes with and without CMvD may elucidate the pathogenic role of CMvD in OAG. Third, the retrospective nature of this study may have led to selection bias, as our patients were those examined at a university hospital, rather than being population-based. Thus, our patient cohort may not have had the same characteristics as similar patients in the general population. Fourth, CMvD was identified from en-face OCT-A images of the choroidal layer, a method with several limitations. For example, DH or large retinal vessels may project onto en-face choroidal layer images, inducing projection artifacts and rendering it difficult to detect or define CMvD boundaries. This study, however, included only eyes with CMvD clearly identified by two examiners. Fifth, we used Humphrey 24-2 VF than Humphrey 10-2 VF for the evaluation of CVF progression. Although 24-2 VF testing is routinely used in glaucoma patients, particularly at early stage of glaucoma, as in our study patients, it is not ideal for the detection of CVF progression due to its non-physiological test point distribution in the central 10° area43. In the current study, Humphrey 10-2 VF test might have increased retinal sensitivity to detect CVF defects as well as VF progression in the CVF area. Finally since our eyes represent Korean NTG eyes with and without CMvD referred to tertiary clinic, our data from a single ethnic group may not be generalized to other races or the general population. In the future, large-scale studies involving various races will be necessary.

In conclusion, this study showed significant regional differences in the rates of VF progression between OAG eyes with and without CMvD, with CMvD+ eyes showing significantly faster CVF progression rates than CMvD− eyes. Detection of CMvD during follow-up was found to be an independent predictor of rapid CVF progression, particularly in the superior center VF region, in eyes with early-stage OAG. Detection of CMvD during follow-up may be an important clinical marker for rapid CVF progression, requiring more aggressive management.

## Methods

### Study participants

The protocol of this retrospective study was approved by the Institutional Review Board of Asan Medical Center and conformed to the principles of the Declaration of Helsinki. The need for written informed consent was waived by our IRB due to its retrospective study design. The medical records of consecutive OAG patients who were examined between March 2011 and December 2013 at the glaucoma service of the Asan Medical Center, Seoul, Korea, were reviewed.

At the initial glaucoma work-up, each patient underwent a comprehensive ocular examination, including a review of past medical history, assessment of best-corrected visual acuity (BCVA) with refraction, slit-lamp biomicroscopy, Goldmann applanation tonometry, and gonioscopy. AL was determined by IOL master (Carl Zeiss Meditec, Dublin, CA, USA) and CCT by ultrasound pachymetry (DGH-550; DGH Technology, Inc., Exton, PA, USA). Patients also underwent dilated color fundus photography (Canon®, Tokyo, Japan), ONH stereoscopic photography, red-free RNFL photography (Canon®), Humphrey field analyzer Swedish Interactive Threshold Algorithm 24-2 VF testing (Carl Zeiss Meditec), and spectral-domain optical coherence tomography (SD-OCT, Carl Zeiss Meditec). A reliable VF assessment was defined as a VF test with a false-positive and -negative errors <15%, and a fixation loss <20%.

OAG was defined as the presence of an open iridocorneal angle; the appearance of glaucomatous ONH damage, consisting of neuroretinal rim thinning, notching, or RNFL defect; and a glaucomatous VF defect regardless of IOP level. A glaucomatous VF defect was defined according to the Anderson’s criteria44 and confirmed on two consecutive reliable VF tests. If the first VF test showed glaucomatous defects, the first result was excluded from analysis to obviate learning effects. The second VF was performed within 2–4 weeks after the first perimetry test. All OAG patients were followed up every 4–6 months by red-free fundus photography, ONH stereoscopic photography, VF, and SD-OCT. SBP and DBP were also measured during follow-up visits. MOPP was calculated as described45.

Patients were included if they (1) were ≥18 years-old at initial presentation, (2) had OAG with visible β-PPA on fundus photography, (3) had a BCVA ≥ 20/40 with a SE within ±6 diopters, (4) were followed up for a minimum of 4 years, with availability of at least 5 reliable VF datasets, (5) had a VF MD greater −6 dB at initial presentation, enabling assessment of VF progression rates of early-stage OAG eyes44, and (6) had undergone one or more OCT-A test during follow-up. The affected eye was selected in patients with unilateral disease. If both eyes of a patient had OAG and met the inclusion criteria, both eyes were included in the analyses.

Patients were excluded if they had severe myopic macular changes, including posterior staphyloma; a history of intraocular surgery; ocular diseases other than glaucoma, such as diabetic retinopathy; unreliable VF test results; cataract more than C2, N2, or P2 based on Lens Opacities Classification System III46; or a systemic disease that could influence the VF tests. Eyes were also excluded if they had undergone surgical or laser treatment for glaucoma during follow-up.

### Optical coherence tomography angiography

All subjects underwent OCT-A imaging with a commercially available OCT-A (AngioVue; Angio Disc mode, Optovue, Inc.), which uses a split-spectrum amplitude-decorrelation angiography algorithm to assess the dynamic motion of red blood cells, and presents a three-dimensional angiogram of perfused retinal vasculature47. The AngioVue provides vascular information at various user-defined retinal layers48.

The choroidal microvasculature in the parapapillary area was evaluated on choroidal layer. This layer is under the retinal pigment epithelium, including the choroid and sclera. CMvD within the β-PPA was defined as a complete loss of the choriocapillaries and microvasculature without any visible microvasculature network1,31,45,49. CMvD was identified when the minimum angular width was greater than 200 µm or that of the central retinal vein1,7. Two independent glaucoma specialists (Y.H.J. and J.K.) who were blinded to the patient’s clinical information reviewed all choroidal layer images and identified the presence of CMvD. Disagreements between the two observers were resolved by a third adjudicator (M.S.K.). Care was taken to avoid false-positive results due to shadowing by floaters or overlying retinal vessels. The control group consisted of OAG eyes without CMvD from the same database that met the inclusion criteria and were matched to eyes with CMvD by age (≤5 years) and VF MD (≤1 dB) at baseline.

### β-zone parapapillary atrophy and disc hemorrhage

The size of the β-PPA and the occurrence of DH were evaluated by the two glaucoma specialists (Y.H.J. and J.K.) using stereoscopic ONH photography. $${\rm{The}}$$ β-PPA was defined as described50,51. The β-PPA and disc margin were manually demarcated, and their areas were measured using ImageJ software (version 1.52; Wayne Rasband, National Institutes of Health, Bethesda, MD, USA). The calculated β-PPA/disc area represented the size of the β-PPA independent of optic disc size while minimizing the effects of photographic expansion error38. The glaucomatous DH was defined as an isolated splinter- or flame-shaped hemorrhage on the optic disc or peripapillary area, extending to the disc border45. All DHs occurring during the follow-up period were recorded.

### Outpatient follow-up

After the diagnosis of OAG, all eyes were managed with (96.5%) or without (3.5%) topical IOP-lowering medications, at the discretion of the treating physician (M.S.K.), and/or confirmation of progression. At last follow-up, topical IOP-lowering medications included prostaglandin analogues in 81.8%, combinations of beta-blockers and carbonic anhydrase inhibitors in 50%, and brimonidine in 18.2%. Baseline IOP was measured before the treatment. The mean, peak, and fluctuation of IOP during follow-up period were calculated. VF progression was determined by Early Manifest Glaucoma Trial criteria52,53,54,55,56, using GPA. Only likely progression in the GPA software was considered VF progression in the current study.

### VF defects location and progression rates

To determine the location of VF defects and their progression rates, the central and peripheral VF regions were defined as described32. CVF was defined within 12 points of a central 10° of fixation, with the peripheral VF region defined as the area outside 10° of fixation. In addition, the central 10° and peripheral 10° to 24° maps were divided into superior and inferior areas to analyze hemifield regional progression rates. Two test locations within the blind spot were excluded. The rationale for separate analyses of superior and inferior hemifields was that VF progression in OAG eyes may show different progression rates depending on the location of initial hemifield VF defects28,57. A CVF defect at initial presentation was defined as a glaucomatous VF defect in one hemifield within 10° of fixation, with at least one point at P < 0.01 lying at the two innermost parafoveal points on the pattern deviation plot19, regardless of extension to 10° to 24° VF area. Eyes without CVF defects consisted of those with clusters only in the 10° to 24° regions of both hemifields.

The average VF mean sensitivity (MS) in each region was used to calculate the progression rate in that region, as described58. All individual values at each test location of the total deviation plot within the global, central 10°, peripheral 10° to 24°, superior and inferior central 10°, and superior and inferior peripheral 10° to 24° regions were averaged to yield the average MS for each follow-up32. In averaging individual values, VF MS (in dB scale) at each test point was converted to the linear scale of 1/Lambert (1/L), which was averaged to obtain mean MS values in each region59,60. VF progression rates were calculated as the changes in VF MS from baseline of each area of the same eye.

### RNFL and GCIPL progression analysis

To determine the incidence and rate of structural progression, trend- and event-based analyses were performed for the parapapillary RNFL and macular GCIPL thickness parameters (at global, superior, and inferior regions) using Cirrus SD-OCT data (Cal Zeiss Meditec, Inc., Dublin, CA). The rates of structural progression were provided by the GPA software using linear regression analysis (expressed in µm/year). For the event-based analysis, only “likely progression” in the GPA software was regarded as structural progression in the current study. Images with artifact or a signal strength <6 and cases of segmentation failure were excluded from the linear regression analysis.

### Statistical analyses

Inter-examiner agreements regarding the presence of CMvD and β-PPA/disc area were assessed using Kappa statistics and ICCs. Categorical were compared in the CMvD+ and CMvD− groups by chi-squared tests and continuous variables were compared by independent t-tests.

To calculate rates of VF progression for each region, a linear mixed model was used to account for the correlated nature of the outcomes within each individual eye57. Models were fitted with fixed coefficients (fixed effects) of follow-up time, patient age, SE, CCT, mean follow-up IOP, follow-up IOP fluctuation, and baseline MD, with random intercepts and coefficients (random effects) of patient and eye (each eye nested within subject) representing the effect of time. VF progression rates for each region were compared in the CMvD+ and CMvD− groups using a linear mixed model. The probability levels considered statistically significant were P < 0.0125 for comparisons of the superior and inferior central 10° and peripheral 10–24° zones, P < 0.025 for comparison of the central 10° and peripheral 10–24° zones, and P < 0.05 for comparisons of the global 24-2 area58,61. Multivariate analysis using linear mixed models was used to determine the variables that influenced the VF progression rate in global and regional clusters; these analyses included as factors age, gender, SE, CCT, presence of CMvD, follow-up mean and fluctuation IOP, and baseline MD. Finally, univariate and multivariate logistic regression analyses with a GEE were used to determine the clinical factors associated with VF progression as defined by GPA, adjusting for potential inter-eye associations. Finally, to compare the rates of parapapillary RNFL and macular GCIPL thinning and incidence of progression based on the GPA software between the 2 groups, the independent t-test and chi-squared test were used respectively. Two-tailed P values < 0.05 were considered statistically significant. All statistical analyses were performed with R (version 3.5.1, R Foundation for Statistical Computing, Vienna, Austria) and SPSS (version 18.0, SPSS, Inc., Chicago, IL, USA) software.

## References

1. 1.

Suh, M. H. et al. Deep Retinal Layer Microvasculature Dropout Detected by the Optical Coherence Tomography Angiography in Glaucoma. Ophthalmology 123, 2509–2518 (2016).

2. 2.

Lee, E. J., Lee, K. M., Lee, S. H. & Kim, T.-W. Parapapillary choroidal microvasculature dropout in glaucoma: a comparison between optical coherence tomography angiography and indocyanine green angiography. Ophthalmology 124, 1209–1217 (2017).

3. 3.

Anderson, D. R. & Braverman, S. Reevaluation of the optic disk vasculature. Am J Ophthalmol 82, 165–174 (1976).

4. 4.

Onda, E., Cioffi, G. A., Bacon, D. R. & Van Buskirk, E. M. Microvasculature of the human optic nerve. Am J Ophthalmol 120, 92–102 (1995).

5. 5.

Yin, Z. Q., Vaegan, Millar, T. J., Beaumont, P. & Sarks, S. Widespread choroidal insufficiency in primary open-angle glaucoma. J Glaucoma 6, 23–32 (1997).

6. 6.

Park, H. Y. L., Kim, J. W. & Park, C. K. Choroidal Microvasculature Dropout Is Associated with Progressive Retinal Nerve Fiber Layer Thinning in Glaucoma with Disc Hemorrhage. Ophthalmology 125, 1003–1013 (2018).

7. 7.

Kwon, J. M., Suh, M. H., Weinreb, R. N. & Zangwill, L. M. Parapapillary Deep-Layer Microvasculature Dropout and Visual Field Progression in Glaucoma. Am J Ophthalmol (2018).

8. 8.

Blumberg, D. M. et al. Association Between Undetected 10-2 Visual Field Damage and Vision-Related Quality of Life in Patients With Glaucoma. Jama Ophthalmology 135, 742–747 (2017).

9. 9.

Burr, J. M., Kilonzo, M., Vale, L. & Ryan, M. Developing a preference-based Glaucoma Utility Index using a discrete choice experiment. Optom Vis Sci 84, 797–808 (2007).

10. 10.

Aspinall, P. A. et al. Evaluation of quality of life and priorities of patients with glaucoma. Invest Ophthalmol Vis Sci 49, 1907–1915 (2008).

11. 11.

Kwon, J., Shin, J. W., Lee, J. & Kook, M. S. Choroidal Microvasculature Dropout Is Associated With Parafoveal Visual Field Defects in Glaucoma. American Journal of Ophthalmology 188, 141–154 (2018).

12. 12.

Hood, D. C., Raza, A. S., de Moraes, C. G., Liebmann, J. M. & Ritch, R. Glaucomatous damage of the macula. Prog Retin Eye Res 32, 1–21 (2013).

13. 13.

Raza, A. S. et al. Retinal ganglion cell layer thickness and local visual field sensitivity in glaucoma. Archives of ophthalmology 129, 1529–1536 (2011).

14. 14.

Garg, A. et al. Baseline 24-2 Central Visual Field Damage Is Predictive of Global Progressive Field Loss. American journal of ophthalmology 187, 92–98 (2018).

15. 15.

Drance, S., Anderson, D. R., Schulzer, M. & Collaborative Normal-Tension Glaucoma Study Group. Risk factors for progression of visual field abnormalities in normal-tension glaucoma. American journal of ophthalmology 131, 699–708 (2001).

16. 16.

Drance, S., Douglas, G., Wijsman, K., Schulzer, M. & Britton, R. Response of blood flow to warm and cold in normal and low-tension glaucoma patients. American journal of ophthalmology 105, 35–39 (1988).

17. 17.

Shin, H.-Y., Park, H.-Y. L., Jung, K.-I., Choi, J.-A. & Park, C. K. J. O. Glaucoma diagnostic ability of ganglion cell–inner plexiform layer thickness differs according to the location of visual field loss 121, 93–99 (2014).

18. 18.

Kim, E. K., Park, H.-Y. L. & Park, C. K. J. Po Segmented inner plexiform layer thickness as a potential biomarker to evaluate open-angle glaucoma. Dendritic degeneration of retinal ganglion cell 12, e0182404 (2017).

19. 19.

Park, S. C. et al. Initial parafoveal versus peripheral scotomas in glaucoma: risk factors and visual field characteristics. Ophthalmology 118, 1782–1789 (2011).

20. 20.

Choi, J. et al. Relationship between 24-hour mean ocular perfusion pressure fluctuation and rate of paracentral visual field progression in normal-tension glaucoma. Investigative ophthalmology & visual science 54, 6150–6157 (2013).

21. 21.

Mikelberg, F. S. & Drance, S. M. The mode of progression of visual field defects in glaucoma. American journal of ophthalmology 98, 443–445 (1984).

22. 22.

Boden, C. et al. Patterns of glaucomatous visual field progression identified by three progression criteria. American journal of ophthalmology 138, 1029–1036 (2004).

23. 23.

Kitazawa, Y., Shirato, S. & Yamamoto, T. J. O. Optic disc hemorrhage in low-tension glaucoma. 93, 853–857 (1986).

24. 24.

Ernest, P. J. et al. An evidence-based review of prognostic factors for glaucomatous visual field progression. 120, 512–519 (2013).

25. 25.

Rasker, M. T., van den Enden, A., Bakker, D. & Hoyng, P. F. J. A. o. O. Deterioration of visual fields in patients with glaucoma with and without optic disc hemorrhages. 115, 1257–1262 (1997).

26. 26.

Leske, M. C. et al. Factors for glaucoma progression and the effect of treatment: the early manifest glaucoma trial. 121, 48-56 (2003).

27. 27.

Rao, H. L. et al. Choroidal Microvascular Dropout in Primary Open-angle Glaucoma Eyes With Disc Hemorrhage. Journal of glaucoma 28, 181–187 (2019).

28. 28.

Cho, H.-K. & Kee, C. Comparison of the progression rates of the superior, inferior, and both hemifield defects in normal-tension glaucoma patients. American journal of ophthalmology 154, 958–968. e951 (2012).

29. 29.

Fukuchi, T. et al. Progression rate of total, and upper and lower visual field defects in open-angle glaucoma patients. Clinical ophthalmology (Auckland, NZ) 4, 1315 (2010).

30. 30.

Teng, C. C. et al. The region of largest β-zone parapapillary atrophy area predicts the location of most rapid visual field progression. Ophthalmology 118, 2409–2413 (2011).

31. 31.

Lee, E. J., Kim, T. W., Lee, S. H. & Kim, J. A. Underlying Microstructure of Parapapillary Deep-Layer Capillary Dropout Identified by Optical Coherence Tomography Angiography. Invest Ophthalmol Vis Sci 58, 1621–1627 (2017).

32. 32.

Hood, D. C. et al. Initial arcuate defects within the central 10 degrees in glaucoma. Investigative ophthalmology & visual science 52, 940–946 (2011).

33. 33.

Jiang, R., Wang, Y. X., Wei, W. B., Xu, L. & Jonas, J. B. Peripapillary choroidal thickness in adult Chinese: the Beijing Eye Study. Investigative ophthalmology & visual science 56, 4045–4052 (2015).

34. 34.

Ishida, K., Yamamoto, T., Sugiyama, K. & Kitazawa, Y. Disk hemorrhage is a significantly negative prognostic factor in normal-tension glaucoma. American journal of ophthalmology 129, 707–714 (2000).

35. 35.

Lieberman, M. F., Maumenee, A. E. & Green, W. R. Histologic studies of the vasculature of the anterior optic nerve. American journal of ophthalmology 82, 405–423 (1976).

36. 36.

Osborne, N. N. Mitochondria: their role in ganglion cell death and survival in primary open angle glaucoma. Experimental eye research 90, 750–757 (2010).

37. 37.

Han, J. C., Lee, E. J., Kim, S. H. & Kee, C. Visual Field Progression Pattern Associated With Optic Disc Tilt Morphology in Myopic Open-Angle Glaucoma. Am J Ophthalmol 169, 33–45 (2016).

38. 38.

Lee, J., Lee, J. E., Kwon, J., Shin, J. W. & Kook, M. S. Topographic Relationship Between Optic Disc Torsion and ß-Zone Peripapillary Atrophy in the Myopic Eyes of Young Patients With Glaucomatous-appearing Visual Field Defects. Journal of glaucoma 27, 41–49 (2018).

39. 39.

Uchida, H., Ugurlu, S. & Caprioli, J. Increasing peripapillary atrophy is associated with progressive glaucoma. Ophthalmology 105, 1541–1545 (1998).

40. 40.

Heltzer, J. M. Progression of peripapillary atrophy. Ophthalmology 106, 857 (1999).

41. 41.

Teng, C. C. et al. β-zone parapapillary atrophy and the velocity of glaucoma progression. Ophthalmology 117, 909–915 (2010).

42. 42.

Lee, E. J. et al. β-Zone parapapillary atrophy and the rate of retinal nerve fiber layer thinning in glaucoma. Investigative ophthalmology & visual science 52, 4422–4427 (2011).

43. 43.

Roberti, G. et al. Detection of central visual field defects in early glaucomatous eyes: Comparison of Humphrey and Octopus perimetry. PloS one 12, e0186793 (2017).

44. 44.

Anderson, D. R. Automated static perimetry. Second edition (ed. St. Louis) 45-78 (Mosby-Year Book, 1992)

45. 45.

Kwon, J., Lee, J., Choi, J., Jeong, D. & Kook, M. S. Association between nocturnal blood pressure dips and optic disc hemorrhage in patients with normal-tension glaucoma. American journal of ophthalmology 176, 87–101 (2017).

46. 46.

Chylack, L. T. et al. The lens opacities classification system III. Archives of ophthalmology 111, 831–836 (1993).

47. 47.

Jia, Y. et al. Split-spectrum amplitude-decorrelation angiography with optical coherence tomography. Optics express 20, 4710–4725 (2012).

48. 48.

Yarmohammadi, A. et al. Optical coherence tomography angiography vessel density in healthy, glaucoma suspect, and glaucoma eyes. Investigative ophthalmology & visual science 57, OCT451–OCT459 (2016).

49. 49.

Lee, E. J., Lee, S. H., Kim, J. A. & Kim, T. W. Parapapillary Deep-Layer Microvasculature Dropout in Glaucoma: Topographic Association With Glaucomatous Damage. Invest Ophthalmol Vis Sci 58, 3004–3010 (2017).

50. 50.

Jonas, J., Nguyen, X., Gusek, G. & Naumann, G. Parapapillary chorioretinal atrophy in normal and glaucoma eyes. I. Morphometric data. Investigative ophthalmology & visual science 30, 908–918 (1989).

51. 51.

Jonas, J. B. Clinical implications of peripapillary atrophy in glaucoma. Current opinion in ophthalmology 16, 84–88 (2005).

52. 52.

Ohnell, H., Heijl, A., Brenner, L., Anderson, H. & Bengtsson, B. Structural and Functional Progression in the Early Manifest Glaucoma Trial. Ophthalmology 123, 1173–1180 (2016).

53. 53.

Leske, M. C. et al. Predictors of long-term progression in the early manifest glaucoma trial. Ophthalmology 114, 1965–1972 (2007).

54. 54.

Heijl, A. et al. Measuring visual field progression in the Early Manifest Glaucoma Trial. Acta Ophthalmol Scand 81, 286–293 (2003).

55. 55.

Leske, M. C., Heijl, A., Hyman, L. & Bengtsson, B. Early Manifest Glaucoma Trial: design and baseline data. Ophthalmology 106, 2144–2153 (1999).

56. 56.

Ohnell, H., Heijl, A., Anderson, H. & Bengtsson, B. Detection of glaucoma progression by perimetry and optic disc photography at different stages of the disease: results from the Early Manifest Glaucoma Trial. Acta Ophthalmol 95, 281–287 (2017).

57. 57.

Park, H.-Y. L., Park, S.-H. & Park, C. K. Central visual field progression in normal-tension glaucoma patients with autonomic dysfunction. Investigative ophthalmology & visual science 55, 2557–2563 (2014).

58. 58.

Smith, S. D., Katz, J. & Quigley, H. A. Analysis of progressive change in automated visual fields in glaucoma. Investigative ophthalmology & visual science 37, 1419–1428 (1996).

59. 59.

Harwerth, R. S. et al. Neural losses correlated with visual losses in clinical perimetry. 45, 3152–3160 (2004).

60. 60.

Hood, D. C. & Kardon, R. H. A framework for comparing structural and functional measures of glaucomatous damage. Prog Retin Eye Res. 26, 688–710 (2007).

61. 61.

Katz, J., Gilbert, D., Quigley, H. A. & Sommer, A. Estimating progression of visual field loss in glaucoma. Ophthalmology 104, 1017–1025 (1997).

## Author information

Authors

### Contributions

Y.H.J. wrote the main manuscript text and prepared Tables 1–4. J.K. codesigned the study, analyzed the data, prepared Figures 1 and 2. D.J. and K.S. monitored the acquisition of and analyzed the data. M.S.K. codesigned the study, monitored the acquisition of and analyzed the data, prepared the tables and figures, and wrote the main manuscript text. All authors reviewed the manuscript.

### Corresponding author

Correspondence to Michael S. Kook.

## Ethics declarations

### Competing Interests

The authors declare no competing interests.

Publisher’s note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

## Rights and permissions

Reprints and Permissions

Jo, Y., Kwon, J., Jeong, D. et al. Rapid Central Visual Field Progression Rate in Eyes with Open-Angle Glaucoma and Choroidal Microvasculature Dropout. Sci Rep 9, 8525 (2019). https://doi.org/10.1038/s41598-019-44942-5

• Accepted:

• Published:

• ### An Increased Choroidal Microvasculature Dropout Size is Associated With Progressive Visual Field Loss in Open-Angle Glaucoma

• Jin Yeong Lee
• , Joong Won Shin
• , Min Kyung Song
• , Ji Wook Hong
•  & Michael S. Kook

American Journal of Ophthalmology (2021)

• ### Nocturnal blood pressure dip and parapapillary choroidal microvasculature dropout in normal-tension glaucoma

• Joong Won Shin
• , Youn Hye Jo
• , Min Kyung Song
• , Hun Jae Won
•  & Michael S. Kook

Scientific Reports (2021)

• ### Optical Coherence Tomography Angiography in Glaucoma

• Harsha L. Rao
• , Min Hee Suh
• , Sasan Moghimi
• , Kaweh Mansouri
•  & Robert N. Weinreb

Journal of Glaucoma (2020)

• ### Comparison of Peripapillary Choroidal Microvasculature Dropout in Primary Open-angle, Primary Angle-closure, and Pseudoexfoliation Glaucoma

• Youn Hye Jo
• , Kyung Rim Sung
•  & Joong Won Shin

Journal of Glaucoma (2020)

• ### Choroidal Microvasculature Dropout is Associated with Generalized Choroidal Vessel Loss within the β-Parapapillary Atrophy in Glaucoma

• Youn Hye Jo
• , Joong Won Shin
• , Min Kyung Song
• , Hun Jae Won
•  & Michael S. Kook

American Journal of Ophthalmology (2020)

By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.