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Abstract

Purpose:

To generate the first published reference database of colour contrast sensitivity in eyes at high risk of neovascular age-related macular degeneration and to explore this important feature in quality of vision.

Background:

Quality of vision depends on many factors. Changes in chromatic contrast sensitivity remain largely unexplored in eyes at high risk of neovascular age-related macular degeneration; they may however not only be relevant for quality of life but also an early indicator of the onset of the disease, so it is important to have a means to evaluate any variation in colour contrast sensitivity, especially in view of the likely increase in neovascular age-related macular degeneration as the population ages.

Methods:

This prospective longitudinal study evaluated colour contrast sensitivity along the protan and tritan colour axes in 145 eyes at high risk of neovascular age-related macular degeneration.

Results:

Colour contrast sensitivity showed statistically significant correlations with age and visual acuity, but not gender nor laterality (i.e. whether the right or left eye was being tested). There was significant variability among individuals, especially for the tritan axis, with some subjects well within normal limits for age and others with very poor colour contrast sensitivity.

Conclusion:

This study has generated the first published colour contrast sensitivity reference database for eyes at high risk of neovascular age-related macular degeneration. It has also shown a high inter-individual variability of colour contrast sensitivity in eyes at high risk of neovascular age-related macular degeneration, but the significance of this is unclear. Further work is required to establish if eyes with high colour contrast sensitivity thresholds (i.e. poor colour vision) have a higher risk of developing neovascular age-related macular degeneration over time, and this is the subject of ongoing work.

Keywords

Introduction

Age-related macular degeneration (AMD) is the leading cause of irreversible sight impairment in people older than 50 years in Western society.^1–3 As the population ages, AMD is likely to become a much more significant issue,² with estimates suggesting numbers will more than double by 2050.⁴ It is a complex multifactorial disease, with genetic as well as environmental factors involved in its pathogenesis.^5–7 Previous studies⁸ have noted function in eyes at high risk of neovascular age-related macular degeneration (nAMD) is frequently impaired, and it has been suggested^9–13 that retinal changes in high-risk eyes determine abnormal function in the adjacent photoreceptors/inner retina, with some cone populations affected more than others.^12–14 Normal colour vision involves comparison of signals generated in short-wavelength (S), medium-wavelength (M) and long-wavelength (L) sensitive cones. Under optimal conditions, trichromats require, at threshold, a smaller contrast change to detect red–green colour differences than yellow–blue colour differences, possibly related to the S-cones being much less numerous than M- and L-cones, especially in the foveal region. In view of the high sensitivity for colour detection and the complexity of chromatic processing, colour assessment is particularly suitable for detecting early stages of retinal disease. To date, however, whilst several vision attributes have been studied in AMD, changes in chromatic sensitivity remain largely unexplored and a colour vision database of eyes at high risk of nAMD, against which tested eyes can be compared, has not been published.

The investigators evaluated colour contrast sensitivity (CCS) as measured with the ChromaTest⁸ in eyes at high risk of developing nAMD, in an attempt to better understand cone photoreceptor function in this context and provide a reference database for any future studies aiming to evaluate colour vision in eyes at high risk of nAMD.

Methods

Participants were recruited across three UK sites from January 2015 to July 2016, and CCS was measured in the fellow unaffected eye of individuals with unilateral nAMD, which has a 12%–15% yearly risk of developing the pathology.¹⁵

Study design

In this prospective longitudinal study, subjects aged 50 years or over with unilateral (treated or inactive) nAMD were eligible to take part. Mild dry age-related changes in the fellow tested eye were not considered a reason for ineligibility for recruitment to this study. Exclusion criteria were individuals with significant media opacities (defined as the impossibility to adequately assess the retina with a 90-dioptre lens on slit lamp biomicroscopy), visual acuity worse than 0.2 LogMAR, pathology that could affect CCS, inherited colour vision deficiencies, high refractive error (established at 7 dioptres spherical equivalent) and individuals not fluent in the English language or unable to give informed consent.

As this study set out to generate a reference database of high-risk eyes free of active nAMD/retinal disease, only patients who did not develop a choroidal neovascular membrane or other significant macular pathology in the tested eye for at least 6 months following CCS assessment were included in the analysis. If the protan large letter CCS test was above 25%, suggesting an undiagnosed congenital colour vision impairment, results were not included in the analysis.

Informed written consent was obtained from all eligible participants who agreed to take part, all applicable institutional and governmental regulations were followed and the study adhered to the tenets of the Declaration of Helsinki.

Assessments

Monocular visual acuity was assessed and CCS measured only in the eye not affected by nAMD. The CCS assessment has been amply described previously.⁸ In brief, it is divided into four individual sub-tests: protan small letter test, tritan small letter test, protan large letter test and tritan large letter test. Protan tests assess the red–green colour axis. Tritan tests assess the blue–yellow colour axis. All ChromaTest assessments present a letter in the centre of the monitor, with small letter tests subtending 1.5° of visual angle and large letter tests subtending 4° of visual angle. Colour contrast was defined as 0% when the letter had the same hue as the background and 100% when the difference in colour between the letter and the background was at its maximum achievable by the monitor; CCS was determined as the minimum contrast required to identify the letter correctly.

Data analysis and power calculation

Microsoft Excel and IBM SPSS were used for data analysis. Measured CCS values were used to create a reference database for eyes at high risk of nAMD and descriptive statistical parameters of CCS in the unaffected eye of patients with unilateral nAMD.

The CCS values were also analysed against visual acuity, age and gender, laterality (right or left eye) and site of assessment.

Results

Statistical analysis was conducted on 145 subjects (53 males, 92 females. Mean age = 75.5 years, SD = 8.3 years, range = 50–90 years). Table 1 shows a summary of results, and Figure 1 shows the frequency distribution of CCS across the four sub-tests. Table 2 shows a summary of the correlations between the variables.

Table 1.

Normative values.

	Age	LogMAR	PS	TS	PL	TL
Mean	75.5	0.1	10.3	58.6	5.6	24.3
SD	8.3	0.1	4.8	29.4	3.5	21.5
Minimum	50	−0.1	2.0	13.4	1.2	4.8
Maximum	90	0.2	26.3	98.7	22.1	98.7

PS: protan small letter test; TS: tritan small letter test; PL: protan large letter test; TL: tritan large letter test; SD: standard deviation.

Figure 1.

Frequency distribution of colour contrast sensitivity (CCS): higher CCS values indicate weaker colour vision.

Table 2.

Summary of correlations between variables.

		LogVA	PS	TS	PL	TL
Age	rho	0.14	0.32	0.35	0.35	0.40
	p-value	0.10	<0.005	<0.005	<0.005	<0.005
LogVA	rho		0.36	0.24	0.15	0.29
	p-value		<0.005	<0.005	0.08	<0.005
PS	rho			0.49	0.77	0.57
	p-value			<0.005	<0.005	<0.005
TS	rho				0.45	0.82
	p-value				<0.005	<0.005
PL	rho					0.59
	p-value					<0.005

PS: protan small letter test; TS: tritan small letter test; PL: protan large letter test; TL: tritan large letter test.

CCS versus age

The average age in the cohort of subjects was 75.5 (range: 50–90; SD = 8.3) years. The relationship between CCS and age was investigated (Figure 2) using Spearman’s rho correlations. There was a moderate, positive correlation between the two variables for all CCS types, with higher CCS values (i.e. weaker colour vision) associated with increasing age. All correlations were statistically significant (p < 0.0005).

Figure 2.

Relationship between age and colour contrast sensitivity (CCS): higher CCS values indicate weaker colour vision.

CCS versus visual acuity

The average LogMAR visual acuity in the tested subjects was 0.1 (range: –0.1 to 0.2, SD = 0.10). There was no significant correlation between visual acuity and age. The relationship between CCS and visual acuity was investigated (Figure 3) using Spearman’s rho correlations. Higher CCS values (i.e. weaker colour vision) were associated with poorer visual acuity, with moderate correlation between visual acuity and protan small letter CCS, weak correlations between visual acuity and tritan small and large letter CCS, and very weak correlation between visual acuity and the protan large letter CCS. With the exception of visual acuity versus the protan large letter CCS test, correlations were statistically significant (p < 0.005).

Figure 3.

Relationship between LogMAR visual acuity and colour contrast sensitivity (CCS): higher CCS values indicate weaker colour vision.

Protan/tritan correlations

The relationship between protan and tritan CCS values was investigated using Spearman’s rho correlations. There were moderate or strong, positive, statistically significant (p < 0.005) correlations between all the variables, but particularly for the protan small letter versus protan large letter test and for tritan small letter versus tritan large letter test (Figure 4).

Figure 4.

Correlation between colour contrast sensitivity (CCS) sub-tests: higher CCS values indicate weaker colour vision.

CCS versus site, laterality and gender

There were no statistically significant differences (results not shown) in CCS levels between the three sites, between eyes (right or left) or between genders (male or female).

Discussion

AMD is the leading cause of severe visual loss in the developed world and currently costs the UK taxpayer at least £1.6 billion a year,⁴ with the prevalence in the United Kingdom at 1.2% in individuals aged 50 years or more, 2.5% in those over 65 years and 6.3% in those above 80 years.² As the population ages, AMD is likely to become a much more significant issue,² with estimates suggesting the number of affected individuals is set to rise to 1.3 million by 2050.⁴ Importantly, individuals with poor vision have a higher frequency of falls and depression compared with aged-matched people with normal vision, and they are also likely to live alone and have additional health problems.^16,17 Mild, moderate and severe sight impairment results in a 17%, 40% and 63% decrease in quality of life, respectively.^18,19 It should be noted that a 63% decrease in quality of life is comparable to that encountered with advanced prostate cancer with uncontrollable pain, or a severe stroke that leaves a person bedridden, incontinent and requiring constant nursing care.^18,19 Poor vision therefore significantly impacts on quality of life, and to a much greater extent than appreciated by many health professionals.

Quality of vision does not solely depend on visual acuity. Other factors, including contrast sensitivity and colour perception, are involved, and consequently, they may be relevant for quality of life, so it is important to have a means to evaluate them.

This study reveals that CCS in the fellow unaffected eye of patients with unilateral nAMD, when compared with a normative database of subjects with no evidence of macular pathology in either eye,⁸ tends to be higher (i.e. worse colour vision) than expected, especially on the tritan (blue) axis. Indeed, in many cases, especially for the small letter test, no tritan colour vision could be detected at all. This is in agreement with other studies.^8,13,14,20 The reason CCS, especially on the yellow–blue axis, is more affected in some individuals than others is unknown; it is conceivable to postulate that sub-clinical structural damage alters the environment photoreceptors operate in, hence reducing their function. As the S-cones have a lower density in the macular area compared with the M- and L-cones, a disparity between the cone population function may be an indicator of early cell damage. This would suggest that, in some individuals at high risk of developing nAMD, macular function is partly compromised before any clinical evidence of significant, sight-threatening pathology is present and it may be possible to detect this with CCS.

The values of CCS in the unaffected eye of individuals with unilateral nAMD also show considerable variability from participant to participant throughout the cohort; this is in contrast with the relatively predictable CCS in age-matched individuals not affected by macular pathology in either eye.⁸ Again, the reason for the high inter-individual CCS variability and whether it represents a risk factor for nAMD is yet to be established.

The results of this study would suggest that in the non-affected eye of subjects with unilateral nAMD, protan and tritan CCS measured with the ChromaTest is influenced by visual acuity and age, but not gender, laterality (right or left eye) or site at which the CCS was assessed.

As would be expected, all tests being a measurement of colour vision, the four sub-tests appear to be correlated within the same individual. This holds true especially when comparing the same colour axis, that is, protan small letter test versus protan large letter test and tritan small letter test versus tritan large letter test.

Mild cataract and pseudophakia were not exclusion criteria for this study: both are more common in the elderly population and the results therefore represent the setting clinicians experience in their practice more realistically. It is known that significant lens yellowing may cause tritan deficits, due to pre-retinal absorption of short-wavelength light (in effect, a short-wavelength stop filter); future studies will evaluate the effect of mild crystalline lens yellowing on CCS in this specific cohort of patients.

Conclusion

This study has generated a valuable database of CCS values in the fellow unaffected eye of individuals with unilateral nAMD in the clinical setting, which may serve as a reference for future projects evaluating colour vision in a cohort of subjects with the same disease entity.

Cost-effective screening for eyes at risk of developing nAMD is essential if early treatment, before irreversible damage occurs, is to be achieved, thus avoiding the significant personal suffering and socio-economic burden associated with sight loss from nAMD. With the likely rise in cases of nAMD as the population ages, the need for a cost-effective screening method becomes critical. A wealth of literature^{9–12,20–24} suggests that functional abnormalities in the retina start when the patient affected by nAMD is still asymptomatic and before currently available non-invasive imaging techniques are able to detect any abnormality. Further research is needed to establish if CCS can be utilised to identify people at imminent risk of developing nAMD and those with the early, pre-symptomatic stage of the disease, when treatment is likely to be most effective, and is the subject of ongoing work by the authors. If CCS is found to be an effective screening tool for nAMD, the equipment required is relatively cheap and non-invasive, and could be further miniaturised for convenient screening through high street optometrists. Finally, any future research should also include other tests that may act as predictors or biomarkers of nAMD, such as chromatic dark-adapted perimetry,²⁵ retinotopic rod function²⁶ and retinal oximetry,²⁷ to name but a few, in order to establish if any can inform the clinician as to the actual risk of developing nAMD, so this highly debilitating pathology can be diagnosed and treated at an early stage.

Footnotes

Declaration of conflicting interests

The author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: C.R.H. has commercial interests in the company manufacturing the ChromaTest. The remaining authors declared that there are no conflicts of interest.

Funding

The author(s) disclosed receipt of the following financial support for the research, authorship and/or publication of this article: This work was supported by the Dunhill Medical Trust (Grant number R304/0713).

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Colour contrast sensitivity in eyes at high risk of neovascular age-related macular degeneration

Abstract

Purpose:

Background:

Methods:

Results:

Conclusion:

Keywords

Introduction

Methods

Study design

Assessments

Data analysis and power calculation

Results

CCS versus age

CCS versus visual acuity

Protan/tritan correlations

CCS versus site, laterality and gender

Discussion

Conclusion

Footnotes

Declaration of conflicting interests

Funding

References