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Clinical Trial
. 2019 Apr 17;14(4):e0215290.
doi: 10.1371/journal.pone.0215290. eCollection 2019.

Color visual acuity in preperimetric glaucoma and open-angle glaucoma

Affiliations
Clinical Trial

Color visual acuity in preperimetric glaucoma and open-angle glaucoma

Junko Ouchi et al. PLoS One. .

Abstract

Purpose: To investigate the clinical significance of color visual acuity (CVA) in preperimetric glaucoma (PPG) and open-angle glaucoma (OAG).

Methods: A total of 123 eyes of 73 subjects (22 normal eyes, 14 PPG eyes, and 87 OAG eyes; mean age: 44.9 ± 10.1 years, age range: 21-64 years) were enrolled. CVA was tested for red, green-yellow, blue-green and blue-purple with a newly developed test.

Results: There was no statistical difference in clinical background factors, including age, sex, intraocular pressure, or spherical equivalent between the three groups. Red VA and blue-green VA were significantly worse in the OAG eyes than in the normal eyes (P = 0.008 and P = 0.015, respectively), although green-yellow VA and blue-purple VA were not significantly worse. Furthermore, red VA and blue-green VA were significantly correlated with MD in a group of eyes with either PPG or OAG (r = -0.23, P = 0.023; r = -0.25, P = 0.012, respectively), but green-yellow VA and blue-purple VA were not.

Conclusion: Red VA and blue-green VA were detectably worse in eyes with OAG, in close association with the degree of functional loss. This suggests that measuring CVA with the new color test described here may be a promising supplement to existing methods of detecting glaucoma and evaluating its severity.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. Chromaticity points of the four tested color stimuli and the background.
We tested color visual acuity for red, green-yellow, blue-green and blue-purple using a paper-based chart with Landolt’s rings (test at 3 meters). The four colors are the same as those used in the New Color Test, a color arrangement test. The chromaticity points of each stimulus color and of the background (D65) are shown.
Fig 2
Fig 2. Color visual acuity (VA) for different colors in normal, preperimetric glaucoma (PPG) and glaucoma eyes.
Color VA for all colors was similar in the normal and PPG eyes, as well as in the PPG and glaucoma eyes. Red (R) VA and blue-green (BG) VA were significantly lower in the glaucoma eyes than in the normal eyes (P = 0.008 and P = 0.015, respectively), although black-white (BW) VA, green-yellow (GY) VA and blue-purple (BP) VA were not significantly lower.
Fig 3
Fig 3. Relationship between mean deviation (MD) and black-white visual acuity (VA) in preperimetric glaucoma (PPG) and glaucoma subjects.
Black-white VA was not correlated with MD in the eyes with PPG or glaucoma (r = -0.08, P = 0.45).
Fig 4
Fig 4. Relationship between mean deviation (MD), red (R) visual acuity (VA) and green-yellow (GY) VA in preperimetric glaucoma (PPG) and glaucoma subjects.
R VA was significantly correlated with MD in the eyes with PPG and glaucoma (r = -0.23, P = 0.02, left), but GY VA was not (r = -0.09, P = 0.37, right).
Fig 5
Fig 5. Relationship between mean deviation (MD), blue-green (BG) visual acuity (VA) and blue-purple (BP) VA in preperimetric glaucoma (PPG) and glaucoma subjects.
BG VA was significantly correlated with MD in the eyes with PPG and glaucoma (r = -0.25, P = 0.01, left), but BP VA was not (r = -0.02, P = 0.87, right).

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References

    1. Quigley HA. Number of people with glaucoma worldwide. Br J Ophthalmol. 1996;80(5):389–93.. - PMC - PubMed
    1. Resnikoff S, Pascolini D, Etya’ale D, Kocur I, Pararajasegaram R, Pokharel GP, et al. Global data on visual impairment in the year 2002. Bull World Health Organ. 2004;82(11):844–51. - PMC - PubMed
    1. Quigley HA, Dunkelberger GR, Green WR. Retinal ganglion cell atrophy correlated with automated perimetry in human eyes with glaucoma. Am J Ophthalmol. 1989;107(5):453–64. - PubMed
    1. Ajtony C, Balla Z, Somoskeoy S, Kovacs B. Relationship between visual field sensitivity and retinal nerve fiber layer thickness as measured by optical coherence tomography. Invest Ophthalmol Vis Sci. 2007;48(1):258–63. 10.1167/iovs.06-0410 - DOI - PubMed
    1. Tan O, Chopra V, Lu AT, Schuman JS, Ishikawa H, Wollstein G, et al. Detection of macular ganglion cell loss in glaucoma by Fourier-domain optical coherence tomography. Ophthalmology. 2009;116(12):2305–14 e1–2. 10.1016/j.ophtha.2009.05.025 - DOI - PMC - PubMed

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