Literature DB >> 28511578

Retinal atrophy in relation to visual functioning and vision-related quality of life in patients with multiple sclerosis.

Lisanne J Balk1, Danko Coric1, Jenny A Nij Bijvank2, Joep Killestein1, Bernard Mj Uitdehaag1, Axel Petzold3.   

Abstract

BACKGROUND: Inner retinal layer atrophy in patients with multiple sclerosis (MS) has been validated as a structural imaging biomarker for neurodegeneration.
OBJECTIVE: To determine how retinal layer thickness relates to high-contrast visual acuity (HCVA), low-contrast visual acuity (LCVA) and vision-related quality of life (QoL) and to investigate the effect of previous episodes on MS-associated optic neuritis (MSON).
METHODS: Spectral-domain optical coherence tomography (SD-OCT) was performed in 267 patients with MS. Images were segmented for the peripapillary retinal nerve fiber layer (pRNFL) and the macular ganglion cell inner plexiform layer (GCIPL). Ophthalmological evaluations included history of MSON, HCVA, LCVA, and vision-related QoL.
RESULTS: Independent of MSON, HCVA and LCVA were significantly associated with pRNFL and GCIPL thicknesses. Vision-related QoL was positively associated with pRNFL (β = 0.92, p = 0.06) and GCIPL (β = 0.93, p = 0.02) thicknesses. These associations were independent of MSON. Not only binocular but also monocular atrophy of the inner retinal layers was associated with lower vision-related QoL.
CONCLUSION: This study showed that retinal atrophy has a significant impact on visual functioning in patients with MS. OCT may therefore provide useful insight to patients with visual dysfunction, and our findings support including OCT and vision-related QoL measures into optic neuritis treatment trials.

Entities:  

Keywords:  Multiple sclerosis; neurodegeneration; optical coherence tomography; quality of life; retina; visual acuity

Mesh:

Year:  2017        PMID: 28511578      PMCID: PMC5971367          DOI: 10.1177/1352458517708463

Source DB:  PubMed          Journal:  Mult Scler        ISSN: 1352-4585            Impact factor:   6.312


Introduction

Atrophy of the inner retinal layers, as observed with the use of optical coherence tomography (OCT), is a common observation in multiple sclerosis (MS) patients with a history of MS-associated optic neuritis (MSON). However, even in patients without a history of MSON, substantial thinning of the inner retinal layers is also observed.[1] This retinal atrophy is thought to be caused by retrograde trans-synaptic degeneration,[2,3] although other mechanisms, such as local microinflammatory processes in the optic nerve,[4] have also been suggested. Retinal atrophy has shown to be associated with clinical disability,[1,5,6] gray and white matter atrophy,[7,8] and cognitive functioning.[9] Although spectral domain (SD)-OCT has been suggested as a structural outcome measure for neuroaxonal degeneration,[5] it should be noted that the clinical meaningfulness of this outcome is not always self-evident. A large proportion of patients with MS (up to 80%) will experience visual disability at some point during their course of disease, the most common being MSON, decreased high-contrast visual acuity (HCVA) and low-contrast visual acuity (LCVA), and eye movement disorders.[10-12] This poor visual functioning has a major impact on quality of life (QoL) as good visual function is highly valued by patients. Importantly, Heesen et al.[13] demonstrated that MS patients reported visual functioning as the second most important body function affecting QoL, after lower limb function. Despite this, the visual system is not generally included as outcome measure. Even the commonly used MS functional composite does not include an objective assessment of visual functioning.[14] Previous studies have investigated the relationship between peripapillary retinal nerve fiber layer (pRNFL) thickness and visual dysfunction[15-17] or general measures of QoL[18] in patients with MS. The assessment of general QoL in patients with MS is however strongly influenced by the mobility of the patient. The vision-related QoL measures the specific influence of visual disability and visual symptoms on different QoL domains and is therefore not biased by ambulation or other non-visual symptoms. These vision-specific measures may provide information on the clinical meaningfulness of retinal atrophy. Therefore, the objective of this study was to investigate how inner retinal layer thickness relates to LCVA, HCVA, and vision-related QoL and to determine whether previous MSON affects this relationship.

Methods

Study design and patient population

For this observational cross-sectional study, patients were enrolled from the Amsterdam MS Cohort (MS Centre Amsterdam, VU University Medical Centre, The Netherlands). This study was approved by the Medical Ethical Committee on Human Research of the VU University Medical Center in Amsterdam, The Netherlands. Written informed consent was obtained from all subjects before study inclusion. All included subjects were diagnosed with clinically definite MS following the revised McDonald criteria[19] and were part of an ongoing observational cohort study (the Amsterdam MS Cohort) of which previous assessments have been described.[20-22] All subjects were required to be between 18 and 80 years of age and had a diagnosis of a relapsing-remitting multiple sclerosis (RRMS), secondary progressive multiple sclerosis (SPMS), or primary progressive multiple sclerosis (PPMS) disease course at the time of their assessment.[23] Patients were excluded if they fulfilled any of the following criteria: pregnancy, received a course of steroids or had a relapse within 6 weeks prior to inclusion, HIV or other immunodeficiency syndrome, or history of substance abuse (drug or alcohol). Patients were also excluded if they had experienced symptomatic MSON within six months preceding the OCT assessment because thickening of the pRNFL during the acute stages of MSON may confound the OCT measurement. All assessments (clinical, OCT, and questionnaires) were performed on the same day.

SD-OCT

SD-OCT (Spectralis, Heidelberg Engineering, Heidelberg, Germany) was performed in all subjects, with eye-tracking function enabled. All OCT scans were obtained at the same site, by three different experienced technicians. Room light conditions were dimmed and pupil diameter was sufficient for obtaining high-quality OCT images, such that pharmacological pupil dilation was not required in any of the cases. Data on global pRNFL thickness (µm) were obtained using a 12° ring scan, manually placed around the optic disc. Data on the mean ganglion cell inner plexiform layer (GCIPL) thickness (µm) in the macular area were acquired using a macular volume scan (20 × 20° field, 49 B-scans, vertical alignment) centered on the fovea, averaging thickness for all but the central sector of the 1-, 2.22-, and 3.4-mm grid. Automated segmentation of the pRNFL and GCIPL was performed (Heidelberg Engineering, software version 1.9.10.0). Scans were excluded from the analyses if they did not fulfill the revised quality control criteria (OSCAR-IB).[24]

Clinical and ophthalmological outcome measures

Disease duration was defined as the time from the first MS symptom. The Expanded Disability Status Scale (EDSS)[25] was obtained by a certified examiner. The assessment of history of symptomatic MSON was based on medical history, according to a standard protocol.[26] Visual acuity (VA) was tested using Sloan letter charts (100% for HCVA, 2.5% for LCVA),[27] placed on a retro-illuminated cabinet, at a 2-m distance. Each eye was tested individually on both contrast levels, with best possible correction for refractive errors. VA scores were quantified as the number of letters correctly read by the patient. Vision-related QoL was assessed using the National Eye Institute Visual Function questionnaire (NEI-VFQ-25), which is a validated tool to assess self-reported visual disability and vision-targeted health status.[28] The NEI-VFQ-25 is widely used in ophthalmological research and has shown to be sensitive and useful in patients with MS.[29] The NEI-VFQ-25 consists of 25 vision-targeted questions representing 11 vision-related constructs (global vision rating, difficulty with near-vision activities, difficulty with distance vision activities, limitations in social functioning due to vision, role limitations due to vision, dependency on others due to vision, mental health symptoms due to vision, driving difficulties, limitations with peripheral vision, limitations with color vision, and ocular pain). Next, all 11 subscores are converted to a 0–100 scale, and overall composite score is calculated by averaging the weighted subscale scores. This overall score is therefore also on a scale from 0 (lowest possible score) to 100 (highest possible score).[30]

Statistical analyses

Linear regression analyses were used to analyze group differences and associations with clinical outcome measures assessed on patient level. When data on VA were analyzed on patient level, the mean value of both eyes was used, in accordance with the advised protocol for OCT study terminology and elements (APOSTEL) guidelines.[31] Vision-related QoL was compared between groups with the non-parametric Mann–Whitney U-test. Generalized estimating equations (GEE), with an exchangeable correlation matrix and adjustments for intra-subject inter-eye dependency, were used for analyses and comparisons when the outcome was assessed on eye level (retinal thickness, VA). All linear regression and GEE analyses were additionally adjusted for relevant confounders (age, sex, disease duration, history of MSON, use of disease-modifying treatment (DMT), VA) as indicated. In order to investigate the effect of binocular, monocular, and no retinal atrophy on vision-related QoL, patients were divided into three groups based on the level of atrophy in each eye (group 1: patients with binocular atrophy, group 2: patients with monocular atrophy, and group 3: patients with no retinal atrophy in either eye). The presence of retinal atrophy was defined as a pRNFL thickness ⩽75 µm, which was based on the findings of Costello et al.,[32] who demonstrated a threshold of pRNFL thickness of 75 µm as the “point of no return” for predicting visual recovery after optic neuritis. There is no published cut-off for the GCIPL. For this reason, we decided to use the same percentile corresponding to a pRNFL of less than 75 µm, which corresponded to the 25th percentile, for the GCIPL. The 25th percentile for the GCIPL thickness resulted in a cut-off of ⩽68 µm. Patients with missing data for at least one eye were excluded from these subanalyses. Groups were compared using linear regression analyses with dummy variables. Statistical analyses were performed using SPSS V.22.0, with a two-sided statistical significance level of 0.05.

Results

Descriptives

A total of 267 patients with MS were included in this cross-sectional observational study. Demographic and clinical characteristics of all included MS patients and stratified by history of MSON are shown in Table 1. In order to avoid the introduction of noise by pooling MSON eyes and no history of MS-associated optic neuritis (MSNON) eyes within the same patient, only patients with the same history of both eyes (i.e. bilateral MSON and bilateral MSNON) were included in the right part of Table 1. Patients had a mean disease duration of 19.1 years (±7.4), but this differed between disease types, as SPMS and PPMS patients (22.6 ± 8.5 and 23.1 ± 7.7 years, respectively) had a considerable longer disease duration compared to the RRMS patients (17.7 ± 6.5). The majority of patients (68.9%) had a relapsing-remitting (RR) disease course. More than half of all patients (N = 156, 58.4%), of which 27 were PPMS, had never experienced a clinically identified episode of MSON. Of all patients with a history of MSON (N = 97, 36.4%), 64 patients had a unilateral MSON and 33 a bilateral MSON. For 5% of patients, the MSON history was ambiguous. Nearly half of the patients never received DMT (45.7%). Among the patients who were treated at the time of their assessment, the majority used β-interferon or glatiramer acetate (73%).
Table 1.

Demographic and clinical characteristics of all included MS patients and stratified by history of MSON.

All subjects
Subjects with MSNON
Subjects with bilateral MSON
N = 267N = 156N = 33
Gender (N, female, %)184 (69%)100 (64.1%)25 (75.8%)
Age (years)52.3 (±10.5)53.1 (±10.7)52.1 (±9.9)
Disease duration (years)19.1 (±7.4) (range: 8.7–48.0)18.5 (±7.2)23.5 (±7.2)
EDSS (median (range))3.5 (0–8.5)3.5 (0–8.5)4.0 (1.0–8.0)
Disease type
 RRMS1849924
 SPMS53319
 PPMS27240
 Unclassifiable320
Disease-modifying treatment
 Current90 (33.7%)43 (27.6%)11 (33.3%)
  β-interferon/glatiramer acetate66329
  Natalizumab942
  Other[a]1570
 Past55 (20.6%)27 (17.3%)11 (33.3%)
 Never122 (45.7%)86 (55.1%)11 (33.3%)
HCVA (mean ODS)52.6 (±8.8)53.4 (±8.0)50.5 (±9.5)
LCVA (mean ODS)27.2 (±11.5)26.9 (±10.5)24.0 (±13.9)

MSNON: no history of MS-associated optic neuritis; MSON: MS-related optic neuritis; RR: relapsing-remitting; SP: secondary progressive; PP: primary progressive; HCVA: high-contrast visual acuity; LCVA: low-contrast visual acuity; ODS: right (OD) and left (OS) eye combined.

Fingolimod, dimethylfumarate, and teriflunomide.

Demographic and clinical characteristics of all included MS patients and stratified by history of MSON. MSNON: no history of MS-associated optic neuritis; MSON: MS-related optic neuritis; RR: relapsing-remitting; SP: secondary progressive; PP: primary progressive; HCVA: high-contrast visual acuity; LCVA: low-contrast visual acuity; ODS: right (OD) and left (OS) eye combined. Fingolimod, dimethylfumarate, and teriflunomide. Furthermore, mean visual function (both HCVA and LCVA) was decreased in patients with bilateral MSON (see Table 1). Patients with no MSON history showed a difference of 2.8 letters for HCVA and 2.9 letters for LCVA compared with patients with bilateral MSON (p = 0.108 and p = 0.322, respectively).

Retinal thickness and visual functioning in MS, with and without MSON

All OCT scans were checked for quality control criteria by two independent raters (L.J.B. and D.C.), which led to a rejection rate of 14% (149/1068 scans). Figure 1 shows the pRNFL and GCIPL thickness for all included eyes and also stratified by history of MSON. When all eyes of MS patients were included (N = 485 eyes), the pRNFL showed a mean thickness of 84.0 µm (±15.1) and the GCIPL a thickness of 76.9 µm (±14.8). Previous episodes of MSON had a significant effect on both retinal layers, with significant thinning in eyes with a history of MSON (pRNFL: 75.1 µm (±15.6) vs 87.1 (±13.7), GCIPL: 67.7 (±14.6) vs 79.9 (±13.7), p < 0.001 for both comparisons; see Figure 1). After adjustments for disease duration, these differences between MSON and MSNON remained significant (pRNFL difference 9.6 µm, p < 0.001, GCIPL difference 10.9 µm, p < 0.001).
Figure 1.

Retinal layer thickness (with 95% CIs) in all (N = 485), MSNON (N = 343), and MSON (N = 119) eyes. Note that history of MSON was ambiguous in 23 eyes which were excluded from further analyses.

Retinal layer thickness (with 95% CIs) in all (N = 485), MSNON (N = 343), and MSON (N = 119) eyes. Note that history of MSON was ambiguous in 23 eyes which were excluded from further analyses. Table 2 shows the associations between retinal layer thickness and VA. Independent of MSON, VA was significantly associated with pRNFL and GCIPL thickness. Although both LCVA and HCVA showed significant associations, stronger associations were observed for LCVA. Every 10 µm reduction in pRNFL thickness corresponded with a reduction in HCVA score of 2.0 letters (p < 0.001) and 2.9 letters for LCVA (p < 0.001). Likewise, for the GCIPL, a 10-µm reduction corresponded to a lower HCVA score of 3.1 letters (p < 0.001) and 4.7 letters for LCVA (p < 0.001; for all GEE models accounting for age, history of MSON, use of DMT, and inter-eye dependency, see Table 2).
Table 2.

Association between retinal layer thickness and visual acuity.

HCVALCVA
pRNFL global (per 10 µm)2.0 (1.0–3.0, p < 0.001)[a]2.9 (1.3–4.5, p < 0.001)[a]
GCIPL (per 10 µm)3.1 (2.1–4.2, p < 0.001)[a]4.7 (3.4–6.1, p < 0.001)[a]

CI: confidence interval; GEE: generalized estimating equations; pRNFL: peripapillary retinal nerve fiber layer; GCIPL: ganglion cell inner plexiform layer; HCVA: high-contrast visual acuity; LCVA: low-contrast visual acuity; MSON: MS-related optic neuritis; DMT: disease-modifying treatment.

Data reported as β (95% CI, p value).

GEE, adjusted for age, history of MSON, use of DMT, and inter-eye dependency.

Association between retinal layer thickness and visual acuity. CI: confidence interval; GEE: generalized estimating equations; pRNFL: peripapillary retinal nerve fiber layer; GCIPL: ganglion cell inner plexiform layer; HCVA: high-contrast visual acuity; LCVA: low-contrast visual acuity; MSON: MS-related optic neuritis; DMT: disease-modifying treatment. Data reported as β (95% CI, p value). GEE, adjusted for age, history of MSON, use of DMT, and inter-eye dependency.

Retinal thickness and vision-related QoL in MS

The MS patients reported a median overall vision-related QoL score of 90.4 (interquartile range (IQR): 11.9). When the effect of MSON on overall vision-related QoL was investigated, it was shown that bilateral MSON patients had a lower vision-related QoL (median: 88.5, IQR: 15.3) compared to MSNON patients (median: 91.7 (IQR: 9.3), p = 0.111; see Figure 2).
Figure 2.

Box-and-whisker plot showing that the median vision-related QoL is lower in patients with bilateral MSON (median: 88.5), compared to MSNON (median: 91.7) patients (p = 0.111).

Box-and-whisker plot showing that the median vision-related QoL is lower in patients with bilateral MSON (median: 88.5), compared to MSNON (median: 91.7) patients (p = 0.111). The overall vision-related QoL score was positively associated with pRNFL and GCIPL thickness, showing higher vision-related QoL scores in patients with less retinal atrophy (Figure 3(a) and (b)).
Figure 3.

Scatter plot and fitted linear regression line (with 95% confidence curves) demonstrating the association between (a) pRNFL and (b) GCIPL thickness and the overall visual quality of life score (NEI-VFQ-25). Data are shown for patients without MSON (blue triangle), bilateral MSON (red circle), and unilateral MSON (gray cross).

Scatter plot and fitted linear regression line (with 95% confidence curves) demonstrating the association between (a) pRNFL and (b) GCIPL thickness and the overall visual quality of life score (NEI-VFQ-25). Data are shown for patients without MSON (blue triangle), bilateral MSON (red circle), and unilateral MSON (gray cross). When this association was adjusted for age, sex, use of DMT, and history of MSON, the effect slightly decreased, but remained significant for GCIPL thickness (see Table 3). The goodness of fit (based on scale parameter) of the adjusted models was 10% for pRNFL and 9% for GCIPL.
Table 3.

GEE analyses demonstrating the association between vision-related QoL (per 5 points) and pRNFL and GCIPL thickness.

pRNFL β (95% CI)p valueGCIPL β (95% CI)p value
Vision-related QoL (unadjusted)1.03 (0.01 to 2.01)0.0381.12 (0.26 to 1.99)0.011
Vision-related QoL (adjusted for age, sex, and use of DMT)0.96 (0.01 to 1.91)0.0481.08 (0.28 to 1.87)0.008
Vision-related QoL (adjusted for age, sex, use of DMT, and MSON0.92 (−0.04 to 1.87)0.0600.93 (0.15 to 1.71)0.020

CI: confidence interval; GEE: generalized estimating equations; pRNFL: peripapillary retinal nerve fiber layer; GCIPL: ganglion cell inner plexiform layer; QoL: quality of life; MSON: MS-associated optic neuritis; DMT: disease-modifying treatment.

Adjustments for age, sex, use of DMT, and history of MSON had minimal effect. Data shown as β (95% CI, p value).

All analyses were corrected for inter-eye dependency.

GEE analyses demonstrating the association between vision-related QoL (per 5 points) and pRNFL and GCIPL thickness. CI: confidence interval; GEE: generalized estimating equations; pRNFL: peripapillary retinal nerve fiber layer; GCIPL: ganglion cell inner plexiform layer; QoL: quality of life; MSON: MS-associated optic neuritis; DMT: disease-modifying treatment. Adjustments for age, sex, use of DMT, and history of MSON had minimal effect. Data shown as β (95% CI, p value). All analyses were corrected for inter-eye dependency. Additionally, the GEE analyses were performed for the VFQ subscales (Table 4). All analyses were adjusted for age, sex, use of DMT, and MSON. Of the 11 subscales, the largest effects were observed for “distance activities” (pRNFL: β = 0.97, p = 0.004 and GCIPL: β = 0.87, p = 0.008), “social functioning” (pRNFL: β = 1.39, p = 0.002 and GCIPL: β = 1.31, p = 0.005), and colour vision (pRNFL: β = 1.05, p = 0.043).
Table 4.

GEE analyses demonstrating the association (β (95% CI)) between the overall vision-related QoL and all 11 subscales (per 5 points) and pRNFL and GCIPL thickness.

pRNFL[a]p valueGCIPL[a]p value
Overall vision-related QoL0.92 (−0.04 to 1.87)0.0600.93 (0.15 to 1.71)0.020
Subscales
 General vision0.37 (−0.19 to 0.94)0.1960.47 (−0.07 to 1.00)0.088
 Ocular pain−0.35 (−1.03 to 0.34)0.326−0.18 (−0.63 to 0.28)0.445
 Near activities0.76 (0.11 to 1.41)0.0220.79 (0.18 to 1.39)0.011
 Distance activities0.97 (0.31 to 1.63)0.0040.87 (0.23 to 1.52)0.008
 Social functioning1.39 (0.54 to 2.33)0.0021.31 (0.40 to 2.21)0.005
 Mental health0.33 (−0.16 to 0.81)0.1860.21 (−0.24 to 0.65)0.361
 Role difficulties0.19 (−0.30 to 0.67)0.4530.15 (−0.27 to 0.55)0.494
 Dependency0.33 (−0.13 to 0.78)0.1560.22 (−0.08 to 0.52)0.141
 Driving0.29 (−0.52 to 1.10)0.4840.37 (−0.29 to 1.04)0.271
 Colour vision1.05 (0.03 to 2.06)0.0430.93 (−0.12 to 1.98)0.082
 Peripheral vision0.43 (−0.09 to 0.94)0.1010.52 (0.03 to 1.00)0.038

CI: confidence interval; GEE: generalized estimating equations; pRNFL: peripapillary retinal nerve fiber layer; GCIPL: ganglion cell inner plexiform layer; QoL: quality of life; MSON: MS-related optic neuritis; DMT: disease-modifying treatment.

All analyses were adjusted for age, sex, use of DMT, and MSON.

GEE analyses demonstrating the association (β (95% CI)) between the overall vision-related QoL and all 11 subscales (per 5 points) and pRNFL and GCIPL thickness. CI: confidence interval; GEE: generalized estimating equations; pRNFL: peripapillary retinal nerve fiber layer; GCIPL: ganglion cell inner plexiform layer; QoL: quality of life; MSON: MS-related optic neuritis; DMT: disease-modifying treatment. All analyses were adjusted for age, sex, use of DMT, and MSON.

Monocular versus binocular atrophy

In order to investigate the effect of monocular or binocular retinal thinning on vision-related QoL, patients were divided into three groups, based on the level of retinal atrophy (group 1: patients with binocular atrophy, group 2: patients with monocular atrophy, and group 3: patients with no retinal atrophy in either eye). Patients with binocular atrophy of the pRNFL showed the lowest vision-related QoL score (82.7 ± 13.3) followed by patients with monocular pRNFL atrophy (85.1 ± 13.3) and patients with no pRNFL atrophy (90.0 ± 8.2). The difference in vision-related QoL between patients with monocular and binocular atrophy (2.4 points) was not statistically significant (p = 0.363; see Table 5).
Table 5.

Vision-related QoL in patients with binocular, monocular, or no inner retinal layer atrophy.

Binocular atrophyMonocular atrophyNo retinal atrophyp value[a] Binocular vs monocularp value[a] Binocular vs no atrophyp value[a] Monocular vs no atrophy
pRNFL[b]
 Vision-related QoL82.7 (13.3)85.1 (12.8)90.0 (8.2)0.3630.0010.013
GCIPL[c]
 Vision-related QoL84.0 (11.9)87.3 (11.4)89.4 (8.5)0.1520.0050.232

CI: confidence interval; pRNFL: peripapillary retinal nerve fiber layer; GCIPL: ganglion cell inner plexiform layer; QoL: quality of life; MSON: MS-related optic neuritis; DMT: disease-modifying treatment.

Linear regression analyses. Adjustments for MSON did not change the results.

pRNFL atrophy cut-off at 75 µm (binocular atrophy N = 30, monocular atrophy N = 35, no atrophy N = 129).

GCIPL atrophy cut-off at 68 µm (binocular atrophy N = 35, monocular atrophy N = 44, no atrophy N = 148).

Vision-related QoL in patients with binocular, monocular, or no inner retinal layer atrophy. CI: confidence interval; pRNFL: peripapillary retinal nerve fiber layer; GCIPL: ganglion cell inner plexiform layer; QoL: quality of life; MSON: MS-related optic neuritis; DMT: disease-modifying treatment. Linear regression analyses. Adjustments for MSON did not change the results. pRNFL atrophy cut-off at 75 µm (binocular atrophy N = 30, monocular atrophy N = 35, no atrophy N = 129). GCIPL atrophy cut-off at 68 µm (binocular atrophy N = 35, monocular atrophy N = 44, no atrophy N = 148). Regarding the GCIPL, a similar situation was observed as patients with binocular GCIPL atrophy showed the lowest vision-related QoL score (84.0 ± 11.9), followed by patients with monocular atrophy (87.3 ± 11.4) and patients with no retinal atrophy (89.4 ± 8.5, see Table 5).

Discussion

This study showed that retinal atrophy has a significant impact on visual functioning in patients with MS. Both VA and vision-related QoL were decreased in patients with atrophy of the inner retinal layers, independent of previous MSON. Consistent with current literature, the present data showed significant thinning of the pRNFL and GCIPL in eyes with a history of MSON compared to unaffected eyes (difference of about 12 µm for both layers) as a result of retrograde degeneration.[1] Furthermore, the presence of MSON also influenced the VA of the patient, showing lower HCVA and LCVA for patients with bilateral MSON. While the retinal thickness and VA were both affected by history of MSON, the association between the two was similar for MSON and MSNON eyes (no effect modification by MSON). The data suggest that VA reduces with decreasing pRNFL or GCIPL thickness. Every 10 µm reduction in pRNFL thickness corresponded with a reduction in HCVA score of 2.0 letters and 2.9 letters for LCVA. Likewise, for the GCIPL, a 10-µm reduction corresponded to a lower HCVA score of 3.1 letters and 4.7 letters for LCVA. The clinical meaningfulness of these reductions in VA has previously been defined as >5 letters for HCVA, and >7 letters for LCVA at 2.5%.[33,34] Assuming a linear relationship, this would correspond to 24 µm (LCVA) or 25 µm (HCVA) for the pRNFL and 15 µm (LCVA) or 16 µm (HCVA) for GCIPL thickness. This suggests that although the observed effect was larger in LCVA, the clinical impact of retinal thinning on HCVA and LCVA seems to be quite similar. Our findings on the association between retinal atrophy and VA are consistent with previous studies although comparing outcomes is difficult due to methodological differences. Nevertheless, the majority of studies showed that thinning of both pRNFL and GCIPL is associated with VA,[15-17,34,35] whereas some only found significant associations with LCVA.[36] Overall vision-related QoL was positively associated with inner retinal layer thickness. Patients with a higher vision-related QoL score showed less atrophy of both the pRNFL and GCIPL. Adjustment for confounding factors, such as age, sex, use of DMT, and MSON, only resulted in minor changes of the effect. Importantly, the association between QoL and inner retinal layer atrophy is mediated by VA. This was supported by the strong reduction of the effect when LCVA was added to the model (pRNFL: β = 0.07 (95% CI: −1.6 to 1.85, p = 0.941) and GCIPL: β = 0.15 (95% CI: −0.95 to 1.25, p = 0.791)). Our findings build upon a previous study by Walter et al.,[17] reporting similar associations between vision-related QoL and GCIPL thickness of 0.9 µm and 1.0 µm on pRNFL thickness per 5 points on the NEI-VFQ-25 scale (using GEE models accounting for age and within-patient inter-eye correlations). Furthermore, a study by Longbrake et al. showed that vision-related QoL correlated with average pRNFL thickness, but only below a critical threshold of 75 µm. Above 75 µm, no relationship between pRNFL thickness and vision-related QoL was observed.[37] In contrast, the cohort study (N = 54) by Garcia-Martin et al.[18] did not show any relationship between pRNFL (Spectralis) and overall MSQOL-54 score (r = 0.08), but they did report significant correlations with the physical health composite (r = 0.23, p < 0.05) and fatigue (r = 0.30, p < 0.05). It should however be noted that in this study, a non-specific QoL measure was used (MSQOL-54), which may explain the lack of correlation with other items than the physical health composite and fatigue. Retinal atrophy is undoubtedly assessed on eye level, as both eyes are scanned individually. Although some relevant outcomes are also eye-specific (history of MSON and VA), many relevant research questions include clinical outcome measures assessed on a patient level (EDSS score, cognition, and QoL). Besides the fact that this discrepancy in level of assessment results in methodological challenges, as the suggested approach (GEE with adjustments for inter-eye dependency) is methodologically not correct in such situations, it also raises the question whether inter-eye differences are clinically relevant to a patients visual functioning. In this study, we have investigated the effect of monocular or binocular retinal atrophy on vision-related QoL and demonstrated that having atrophy of the pRNFL in only one eye resulted in a significantly lower vision-related QoL score compared to having two unaffected eyes. When both eyes showed atrophy of the pRNFL, this only further decreased the vision-related QoL score minimally (difference 2.4 points, p = 0.363). Regarding the GCIPL, a more stepwise situation was observed, with binocular GCIPL atrophy showing the lowest vision-related QoL score, followed by patients with monocular atrophy and finally patients with no retinal atrophy. These findings suggest that monocular atrophy of the inner retinal layers already has significant impact on the vision-related QoL of a patient. This phenomenon may be a result of binocular inhibition (when the best eye has better acuity than both eyes together), which is present in patients with MSON,[38] but this was not further investigated as it was beyond the scope of this study and no data on binocular vision were available. One limitation of this study is its cross-sectional design, which does not permit to hint on causality. We are therefore in the process of re-investigating all patients after two more years of follow-up. In conclusion, this study showed that retinal atrophy has a significant impact on visual functioning in patients with MS. Both VA and vision-related QoL were decreased in patients with atrophy of the macular ganglion cells. Retinal OCT gives useful insight to patients with visual dysfunction, and our findings support including OCT and visual functioning measures into optic neuritis treatment trials.
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Review 1.  The ocular manifestations of multiple sclerosis. 1. Abnormalities of the afferent visual system.

Authors:  W I McDonald; D Barnes
Journal:  J Neurol Neurosurg Psychiatry       Date:  1992-09       Impact factor: 10.154

2.  Development of the 25-item National Eye Institute Visual Function Questionnaire.

Authors:  C M Mangione; P P Lee; P R Gutierrez; K Spritzer; S Berry; R D Hays
Journal:  Arch Ophthalmol       Date:  2001-07

3.  Trans-synaptic axonal degeneration in the visual pathway in multiple sclerosis.

Authors:  Iñigo Gabilondo; Elena H Martínez-Lapiscina; Eloy Martínez-Heras; Elena Fraga-Pumar; Sara Llufriu; Santiago Ortiz; Santiago Bullich; Maria Sepulveda; Carles Falcon; Joan Berenguer; Albert Saiz; Bernardo Sanchez-Dalmau; Pablo Villoslada
Journal:  Ann Neurol       Date:  2014-01-02       Impact factor: 10.422

4.  Bidirectional trans-synaptic axonal degeneration in the visual pathway in multiple sclerosis.

Authors:  L J Balk; M D Steenwijk; P Tewarie; M Daams; J Killestein; M P Wattjes; H Vrenken; F Barkhof; C H Polman; B M J Uitdehaag; A Petzold
Journal:  J Neurol Neurosurg Psychiatry       Date:  2014-06-27       Impact factor: 10.154

5.  New low-contrast vision charts: reliability and test characteristics in patients with multiple sclerosis.

Authors:  L J Balcer; M L Baier; V S Pelak; R J Fox; S Shuwairi; S L Galetta; G R Cutter; M G Maguire
Journal:  Mult Scler       Date:  2000-06       Impact factor: 6.312

6.  Visual dysfunction in multiple sclerosis correlates better with optical coherence tomography derived estimates of macular ganglion cell layer thickness than peripapillary retinal nerve fiber layer thickness.

Authors:  Shiv Saidha; Stephanie B Syc; Mary K Durbin; Christopher Eckstein; Jonathan D Oakley; Scott A Meyer; Amy Conger; Teresa C Frohman; Scott Newsome; John N Ratchford; Elliot M Frohman; Peter A Calabresi
Journal:  Mult Scler       Date:  2011-08-24       Impact factor: 6.312

7.  Defining the clinical course of multiple sclerosis: results of an international survey. National Multiple Sclerosis Society (USA) Advisory Committee on Clinical Trials of New Agents in Multiple Sclerosis.

Authors:  F D Lublin; S C Reingold
Journal:  Neurology       Date:  1996-04       Impact factor: 9.910

8.  Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria.

Authors:  Chris H Polman; Stephen C Reingold; Brenda Banwell; Michel Clanet; Jeffrey A Cohen; Massimo Filippi; Kazuo Fujihara; Eva Havrdova; Michael Hutchinson; Ludwig Kappos; Fred D Lublin; Xavier Montalban; Paul O'Connor; Magnhild Sandberg-Wollheim; Alan J Thompson; Emmanuelle Waubant; Brian Weinshenker; Jerry S Wolinsky
Journal:  Ann Neurol       Date:  2011-02       Impact factor: 10.422

Review 9.  The afferent visual pathway: designing a structural-functional paradigm of multiple sclerosis.

Authors:  Fiona Costello
Journal:  ISRN Neurol       Date:  2013-11-06

Review 10.  Vision and vision-related outcome measures in multiple sclerosis.

Authors:  Laura J Balcer; David H Miller; Stephen C Reingold; Jeffrey A Cohen
Journal:  Brain       Date:  2014-11-28       Impact factor: 13.501

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  8 in total

1.  Discriminative power of intra-retinal layers in early multiple sclerosis using 3D OCT imaging.

Authors:  Caspar B Seitz; Amgad Droby; Lena Zaubitzer; Julia Krämer; Mathieu Paradis; Luisa Klotz; Heinz Wiendl; Sergiu Groppa; Sven G Meuth; Frauke Zipp; Vinzenz Fleischer
Journal:  J Neurol       Date:  2018-08-02       Impact factor: 4.849

Review 2.  Advances in ophthalmic structural and functional measures in multiple sclerosis: do the potential ocular biomarkers meet the unmet needs?

Authors:  Hong Jiang; Silvia Delgado; Jianhua Wang
Journal:  Curr Opin Neurol       Date:  2021-02-01       Impact factor: 6.283

3.  Retinal nerve fiber layer and ganglion cell layer changes on optical coherence tomography in early multiple sclerosis and optic neuritis cases.

Authors:  Ganesh Pillay; Anita Ganger; Digvijay Singh; Rohit Bhatia; Pradeep Sharma; Vimla Menon; Rohit Saxena
Journal:  Indian J Ophthalmol       Date:  2018-01       Impact factor: 1.848

4.  Predictors of vision impairment in Multiple Sclerosis.

Authors:  Bernardo Sanchez-Dalmau; Elena H Martinez-Lapiscina; Irene Pulido-Valdeolivas; Irati Zubizarreta; Sara Llufriu; Yolanda Blanco; Nuria Sola-Valls; Maria Sepulveda; Ana Guerrero; Salut Alba; Magi Andorra; Anna Camos; Laura Sanchez-Vela; Veronica Alfonso; Albert Saiz; Pablo Villoslada
Journal:  PLoS One       Date:  2018-04-17       Impact factor: 3.240

5.  Visual Function and Disability Are Associated With Focal Thickness Reduction of the Ganglion Cell-Inner Plexiform Layer in Patients With Multiple Sclerosis.

Authors:  Ce Shi; Hong Jiang; Giovana Rosa Gameiro; Huiling Hu; Jeffrey Hernandez; Silvia Delgado; Jianhua Wang
Journal:  Invest Ophthalmol Vis Sci       Date:  2019-03-01       Impact factor: 4.799

6.  Low Contrast Visual Acuity Might Help to Detect Previous Optic Neuritis.

Authors:  Soo-Hyun Park; Choul Yong Park; Young Joo Shin; Kyoung Sook Jeong; Nam-Hee Kim
Journal:  Front Neurol       Date:  2020-12-22       Impact factor: 4.003

Review 7.  Case for a new corticosteroid treatment trial in optic neuritis: review of updated evidence.

Authors:  Axel Petzold; Tasanee Braithwaite; Bob W van Oosten; Lisanne Balk; Elena H Martinez-Lapiscina; Russell Wheeler; Nils Wiegerinck; Christiaan Waters; Gordon T Plant
Journal:  J Neurol Neurosurg Psychiatry       Date:  2019-11-18       Impact factor: 10.154

8.  Neuroprotective Effects of Novel Treatments on Acute Optic Neuritis-A Meta-Analysis.

Authors:  Tsung-Hsien Tsai; Chao-Wen Lin; Li-Wei Chan; Teck-Boon Tew; Ta-Ching Chen
Journal:  Biomedicines       Date:  2022-01-17
  8 in total

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