Article Text

Download PDFPDF

Patient-reported outcomes in the RELIGHT clinical trial of ranibizumab in diabetic macular oedema
  1. Usha Chakravarthy1,
  2. Ian Pearce2,
  3. Sanjiv Banerjee3,
  4. Benjamin J L Burton4,
  5. Louise Downey5,
  6. Richard Gale6,
  7. Jignesh Patel7,
  8. Sudeshna Patra8,
  9. Sobha Sivaprasad9,
  10. Michael Stevenson10,
  11. Susanne Lupton11
  12. On behalf of the RELIGHT study group
  1. 1Departmentof Ophthalmology, Queens University, Belfast, UK
  2. 2St Paul’s Eye Unit, Royal Liverpool and Broadgreen University Hospitals NHS Trust, Liverpool, UK
  3. 3University Hospital of Wales, Cardiff, UK
  4. 4Departmentof Ophthalmology, James Paget University Hospital, Great Yarmouth, UK
  5. 5Department of Ophthalmology, Hull Royal Infirmary, Hull, UK
  6. 6Departmentof Ophthalmology, The York Hospital UK, York, UK
  7. 7Essex County Hospital, Colchester, UK
  8. 8Whipps Cross University Hospital, London, UK
  9. 9NIHR Moorfields Biomedical Research Centre, London, UK
  10. 10Medical Education, Queens University of Belfast, Belfast, UK
  11. 11Departmentof Ophthalmology, Novartis Pharma UK, Frimley, UK
  1. Correspondence to Dr Usha Chakravarthy; U.Chakravarthy{at}qub.ac.uk

Footnotes

  • Contributors UC, IP, SB, BJLB, LD, RG, JP, SP and SS were involved in patient enrolment, history taking, clinical examination, data collection and interpretation. UC, MS and SL developed and performed additional statistical analysis of the core data. UC developed the initial manuscript outline which was further developed and reviewed by IP, SB, BJLB, LD, RG, JP, SP, SS and SL. SL provided medical writing and project management services.

  • Funding This study was funded by Novartis Pharmaceutical UK Ltd, who had full control of the study design. However, the hrQOL information including the entire dataset was provided to MS, the nominated statistician at Queen’s University who had full control of the data for the hrQOL analysis.

  • Competing interests UC reports grants and personal fees from Novartis and Bayer Pharma. IP reports lecture fees and consulting fees from Novartis. RG reports lecture fees and grants from Novartis. SS reports grants and personal fees from Novartis, Bayer, Roche, Boehringer Ingelheim, Optos and Heidelberg. LD reports personal fees from Novartis, Bayer, Alimera and Allergan. BJLB reports grants and research funding from Novartis Pharma. SP reports other from Novartis, Bayer, Allergan and Alimera. SL reports other from Novartis. JP and SB have nothing to disclose.

  • Patient consent for publication Not required.

  • Provenance and peer review Not commissioned; externally peer reviewed.

View Full Text

Statistics from Altmetric.com

Key messages

What is already known about this subject?

  • Anti-vascular endothelial growth factor (anti-VEGF) use has been established as an effective therapy in the treatment of diabetic macular oedema. However, there are only limited data published on the impact of this therapy on quantitative patient-related outcome tools.

What are the new findings?

  • This study presents patient-related outcomes data using two validated tools, the National Eye Institute Visual Function Questionnaire and the Macular Disease Society Treatment Satisfaction Questionnaire. The data support the finding that improvements in vision are associated with favourable increases in visual functioning and patient satisfaction. However, Central Retinal Thickness (CRT) which is a morphological marker of the efficacy of treatment with anti-VEGF agents showed no relationship with the data recorded in the tools suggesting that these instruments may not be sensitive to improvements in retinal morphology with treatment. Patients recognise and report improvements in function when treated with an anti-VEGF regardless of whether treatment is applied to the better or worse of an individual’s pair of eyes. Satisfaction with treatment and information provision was observed in our study.

How might these results change the focus of research or clinical practice?

  • These data help build the body of patient-related outcomes data in diabetic eye disease and to stress the importance of data of this type in broadening the evidence base available for evaluation.

Introduction

Patient-reported outcome measures (PROMs) are increasingly recognised as necessary for determining the usefulness of interventions in all aspects of clinical care.1 In retinal diseases that are usually bilateral and thus with vision loss in both eyes, studies have revealed an impact on quality of life and a disability that is equivalent to the severe health-impairing conditions.2 3 Traditionally, the most frequently used outcome measure of ocular function has been distance visual acuity and when undertaken to standardised protocols after refraction; best-corrected visual acuity (BCVA) is easily measured in a robust and reproducible manner. Nevertheless, this metric merely indicates the level of reduced vision in a single eye and reflects only the function of the foveal retina.4 Consequently, correlations between health-related quality of life (hrQOL) and BCVA are modest at best even when the better-seeing eye is considered and there remain many aspects of vision-related function that are poorly explained.5 6 Therefore, when designing clinical trials of new interventions, tools that assess the burden and acceptability of treatment are increasingly being included as outcome measures and are recognised as important components of the assessment of effectiveness of the therapy by payers and policy-makers.7–9

Diabetic macular oedema (DMO) is frequently bilateral and is associated with significant levels of visual morbidity.10 The emergence of anti-vascular endothelial growth factor (anti-VEGF) as an effective treatment in DMO has been an important milestone in the therapeutics of this condition.11 To achieve optimum benefit from treatment, most patients require repeated administration of drug and intensive monitoring thus resulting in a huge burden of illness for patients and carers and resource implications for service providers. The RELIGHT clinical trial was undertaken as a prospective, open-label, multicentre, single-arm, 18-month study to evaluate the use of ranibizumab 0.5 mg using an individualised treatment approach in the management of DMO.12 In this trial, a number of PROMs were used and included the National Eye Institute Visual Function Questionnaire (NEI-VFQ)13 and the Macular Disease Society Treatment Satisfaction Questionnaire (MacTSQ)14 to better understand the impact of treatment on vision-related quality of life and the acceptability of treatment.

Methods

RELIGHT enrolled 109 participants with macular oedema due to diabetes mellitus who were commenced on treatment with 0.5 mg of ranibizumab. Intravitreal injection of ranibizumab was performed 4 weekly as part of a 3-month loading phase. From months 3 to 5, participants underwent monthly review and subsequently follow-up occurred bi-monthly until month 18. An individualised approach was used to determine if re-treatment was required.10 Re-treatment criteria were the presence of residual central subfield retinal oedema (an Optical Coherence Tomography reading of ≥225 µm), increase in central subfield retinal oedema by >10% or 25 µm from the lowest in-study reading, no residual central subfield retinal oedema, but a total drop of 5 or more ETDRS letters from the best-recorded BCVA in the study.10 The NEI-VFQ 25-item version was used and this instrument has been extensively validated and its scoring system for calculation of the composite score and the 12 individual subscales has been previously described.13 The composite and the 12 subscale scores were calculated for study visits at 0, 12 and 18 months and the mean change computed. The MacTSQ is administered only after treatment has commenced as it asks questions about the experience.14 Therefore, its first administration occurred at M1, and subsequently at 6, 12 and 18 months. The MacTSQ has been validated for use in those macular diseases that require invasive drug administration and has two subscales namely treatment satisfaction and information provision/convenience.12

Descriptive statistics were generated for participant baseline demographics (table 1). The imbalance in the sexes was statistically significant and the variables of age, BCVA in the study eye (SE) and NEI-VFQ 25 and MacTSQ subscales scores were analysed by gender. As relationships with PROMS are mainly driven by the better eye, the baseline BCVA of the SE of the entire group of participants and after grouping by whether the SE was the better or worse compared with the fellow eye (FE) was computed along with changes in BCVA in SE from baseline to months 12 and 18. In the entire group of participants, the change from baseline to M6, 12 and 18 in the NEI-VFQ 25 subscales was calculated and analysed using paired-sample t-tests. For the MacTSQ where data were available for M1, 6, 12 and 18, change from the first time point to each subsequent time point of administration was calculated and subjected to analysis using paired-sample t-tests. The tests for this instrument were repeated after grouping participants into those whose SE was better than the FE or worse than the FE.

Table 1

Baseline BCVA, NEI-VFQ 25 and MacTSQ subscale scores by gender

To assess the relationships between BCVA in the SE and the two instruments, Pearson’s correlation coefficients were tested for the composite NEI-VFQ 25 (0, 12 and 18 M) and the two subscales of the MacTSQ (1, 12 and 18 M). Correlation coefficients were also generated to examine the relationship between percentage change in central retinal thickness from baseline to M12 and M18 and change from baseline in NEI-VFQ 25 subscales and composite scores to M12 and M18. Similarly, percentage change in central retinal thickness from baseline to M12 and 18 was correlated with the change in scores from month 1 to M12 and M18 for the MacTSQ subscales. Models with change at M12 and M18 in the NEI-VFQ 25 composite score and the two MacTSQ subscale scores as the dependent variables, models were constructed with the following explanatory variables (age, gender, baseline BCVA and baseline PROM score).

Patient and public involvement

This study did not have patient or public involvement in its design, participant recruitment or conduct. The results were not publicised on study completion to participants. While the burden of the intervention in the wider study was not assessed directly by patient participants, we included an outcomes measurement tool (MacTSQ) which evaluates levels of satisfaction with treatment.

Results

Amongst 109 participants who were recruited, 100 (91.7%) and 99 (90.8%) completed 12 and 18 months in the study, respectively. DMO was bilateral in 76, and in the remaining 33 participants, only one eye met the criteria for DMO. Patient demographics and baseline BCVA in the SE for the entire group and by gender is shown in table 1. As gender was statistically significantly imbalanced with 78 (71.6%) being male, demographics, NEI-VFQ 25 and MacTSQ subscale scores by gender are shown in table 1. BCVA was marginally better in the study eyes of men compared with women but did not reach significance on univariate testing. The composite score and most NEI-VFQ 25 subscale scores were similar between men and women apart from distance activities, in which men scored higher than women (p=0.02). The differences in the MacTSQ subscale scores were not statistically significant when analysed by gender.

Online supplementary table E1 shows the BCVA at baseline in SE and FE grouped by whether at baseline the SE was the better or the worse in terms of visual acuity. Mean BCVA was not statistically significantly different in the SE when grouped with reference to the FE. In the FE, mean BCVA at baseline was 6 lines better when the SE was the worse eye than when the SE was the better eye.

The change in BCVA in all SE from baseline to M2 and M18, and after grouping by the status of the SE relative to FE is shown in table 2. Statistically significant improvements were seen for all comparisons except for the change between baseline and M18 in participants (N=32) where the SE was the better eye at baseline. The greatest mean improvement was from baseline to M18 in the subgroup where the SE had worse baseline BCVA compared with the FE (8.3 letters, 95% CI 5.5 to 11.2).

Table 2

Change in BCVA study eye (SE) entire cohort, and categorisation by whether SE is ‘better’ or ‘worse’ relative to fellow eye in terms of letters at baseline*

For the complete study population, NEI-VFQ 25 subscales were significantly correlated with each other (data not shown). The mean composite score changed from 67.9 at baseline to 72.0 by M18 (p<0.005). On testing change from baseline to M12 and M18 (table 3A and B) for the subscales, improvements were observed in all at both timepoints except in general health, colour vision and peripheral vision. At M18, changes from baseline in distance activities and social functioning were no longer statistically significant.

Table 3A

Change in NEI-VFQ 25 subscale scores baseline to M12 in all participants

Table 3B

Change in NEI-VFQ 25 subscale scores baseline to M18 in all participants

The scores from the two MacTSQ subscales were significantly correlated with each other for all visits (data not shown). Improvements in mean score between baseline M6, 12 and 18 were seen in the information provision and convenience (subscale 1) but only reached statistical significance at M12 (table 4A). In subscale 2 which dealt with the impact of treatment, the improvements in mean score from baseline to M6, 12 and 18 were all statistically significant (table 4A). The change over time in mean scores for the two MacTSQ subscales was also examined after classifying participants by whether BCVA in the SE was better or worse than the FE at baseline. In those where the SE was the better eye, all of the comparisons reached significance for subscale 2, but none of comparisons in subscale 1 were statistically significant (table 4B). Where the the SE was the worse eye, the change in MacTSQ from its baseline to each of the time points (table 4C) were statistically significant for both subscales.

Table 4A

Change in MacTSQ subscales between M1 (MacTSQ baseline) to M6, M12 and M18 in all participants

Table 4B

Change in MacTSQ subscales between M1 (MacTSQ baseline) to M6, 12 and 18 in the subset of participants in whom at baseline the study eye was the ‘better’ eye compared with the fellow eye in terms of BCVA letters

Table 4C

Change in MacTSQ subscales between M1 (MacTSQ baseline) to M6, 12 and 18 in the subset of participants in whom at baseline the study eye was the ‘worse’ eye compared with the fellow eye in terms of BCVA letters

The two MacTSQ subscales and the NEI-VFQ 25 composite showed no statistically significant correlations when co-administered. Correlations between the two MacTSQ subscales and BCVA in the SE when the whole cohort was included or when the SE was the better eye or worse eye are shown in table 5, and none reached significance. Several of the NEI-VFQ 25 subscales showed statistically significant correlations with BCVA and were strongest when the SE was better than the FE.

Table 5

Correlations between BCVA at baseline, month 12 and month 18 with the NEI-VFQ 25 composite score and scores of the two subscales of the MacTSQ at the corresponding times

None of the baseline characteristics such as age, gender, BCVA in the SE at baseline or M12, or CRT at baseline or M12 were significant predictors of improvement in the NEI-VFQ 25 composite or MacTSQ subscales (data not shown). Regression models with change in NEI-VFQ 25 composite score, as the explanatory variable showed that only the change in BCVA was significantly associated, while age, gender and CRT were rejected from the model.

Discussion

In the RESTORE trial which compared monthly ranibizumab with sham or active laser and sham injections plus laser, hrQOL was tested using the NEI-VFQ 25.15 16 In the ranibizumab arms, there was a vision gain of approximately 6 letters, CRT reduction of 118.7 µm and a 5-point increase in the NEI-VFQ 25 12M composite score. In RELIGHT, BCVA gain in the SE at M12 was on average 4.9 letters, CRT reduction, 127.1 µm and a 4.8-point increase in the composite score at M12. Thus, despite differences in algorithms for re-treatment in the two studies, the results are similar suggesting that minor variations in frequency of treatment with ranibizumab have limited impact on functional, morphological and patient-reported outcomes. It is, however, possible that despite the similar levels of improvement in BCVA, other markers of function such as reading speed and low luminance acuity may have revealed differences between RELIGHT and RESTORE. However, the similarity of the improvements in almost all the subscales of the NEI-VFQ between these two trials gives some degress of reassurance. It is worth noting that the RESTORE trial also reported that maximum improvement of approximately 9 points was seen in the near activities subscale and by 5.3 for distance activities.16 Interestingly, the best improvements in this study occurred in the mental health and role difficulties subscales. Of particular note were the changes observed in the mental health subscale with an improvement of 10 points at M12 and M18. Similar levels of improvement has been reported in Age-Related Macular Degeneration (AMD) clinical trials with anti-VEGF therapy.17 Comparing the outcomes from our study with those of RESTORE, although the level of improvement in the subscale scores for distance and near activities at 12 and 18 months were not of the same magnitude, the changes were positive and in most cases statistically significant.16 As patient-reported outcomes are influenced by age, gender, geographical location and other factors, it is not possible to speculate on what may have caused the differences that were observed in NEI-VFQ 25 subscale improvements in these two studies.

PROMs are particularly useful for ascertaining the acceptability of a treatment.18 19 It is recognised that patients with diabetes have higher rates of non-attendance and reduced compliance compared with persons without diabetes.20 Furthermore, treatment for DMO with anti-VEGF agents necessitates invasive intraocular administration of drug on a repeated basis. In the analysis that included the entire cohort, there was evidence of increasing satisfaction with treatment with numeric improvement in MacTSQ scores observed between M1 to 12 and 18. Additionally, consistent improvements across all time points were observed for the subscale dealing with impact of treatment. On subdividing the cohort into groups on the basis of whether the SE had better or worse baseline BCVA compared with the FE, improvements in subscale 2 were evident for all comparisons when the SE was the worse eye. Surprisingly, the change from M1 to 6, 12 and 18 was not significant in subscale 1 when the SE was the better eye. One possible explanation is the small sample of participants where the SE was the better eye resulting in an inability to detect a significant change. Alternatively, we also observed that the largest improvements in BCVA over time was seen in the group where the SE was the worse eye. Therefore, it is possible that an improvement of around 8 letters is more noticeable and thus influenced the participants’ response indicating satisfaction with treatment. However, the absence of correlation between the MacTSQ subscales and BCVA and between the change in subscale scores and change in BCVA is not in accord with this latter conclusion.

Unlike the MacTSQ subscales which showed no correlation with BCVA, the NEI-VFQ 25 composite score correlated strongly with BCVA regardless of whether the SE was the better or worse seeing eye and positive relationships were observed at all time points. Our findings are consistent with high internal validity for this instrument with respect to the key functional measure of vision and reflect the positive relationship between the NEI-VFQ 25 and vision in the better eye.18

The change in CRT which is a morphological marker of the efficacy of treatment with anti-VEGF agents showed no relationship with the composite NEI-VFQ 25 or with the two MacTSQ subscales at M12 or M18 (online supplementary table E2). We hypothesised that the change in CRT while not correlating with the NEI-VFQ 25 composite score may do so with one of the subscales. However, no correlations of significance were observed between any of the NEI-VFQ 25 subscales and the CRT suggesting that this instrument is not sensitive to improvements in retinal morphology with treatment.

The current study has some limitations, and these include the small sample size limiting the power of our observations and the unequal proportions of better and worse eyes within the SE group. The MacTSQ is a treatment satisfaction questionnaire and has not been used widely in trials nor has its use been reported extensively in the literature. Because it does not correlate with VA, it is difficult to the estimate criterion validity of this instrument. Many factors are involved in treatment satisfaction and the degree of attention and care given to clinical trial participants may have influenced their responses. However, the administration of an invasive treatment at repeated intervals did not result in poor scores, and we contend that intraocular drug administration does not appear to be associated with high levels of anxiety in the patient population with DMO.

Nonetheless, our study has several strengths, and these include the collection of data at specified time points, the use of validated hrQOL instruments within the context of a randomised controlled trial and the low chance of bias under these circumstances.

In summary, the study has shown that patients recognise and report improvements in function when treated with ranibizumab for DMO regardless of whether treatment is applied to the better or worse of an individual’s pair of eyes. In addition, there was evidence of awareness within the patient population of subjective improvement that was consistent with the changes from objective measures that are recorded in clinical trials and high levels of satisfaction with treatment and information provision were observed in our study.

References

  1. 1.
  2. 2.
  3. 3.
  4. 4.
  5. 5.
  6. 6.
  7. 7.
  8. 8.
  9. 9.
  10. 10.
  11. 11.
  12. 12.
  13. 13.
  14. 14.
  15. 15.
  16. 16.
  17. 17.
  18. 18.
  19. 19.
  20. 20.
View Abstract

Footnotes

  • Contributors UC, IP, SB, BJLB, LD, RG, JP, SP and SS were involved in patient enrolment, history taking, clinical examination, data collection and interpretation. UC, MS and SL developed and performed additional statistical analysis of the core data. UC developed the initial manuscript outline which was further developed and reviewed by IP, SB, BJLB, LD, RG, JP, SP, SS and SL. SL provided medical writing and project management services.

  • Funding This study was funded by Novartis Pharmaceutical UK Ltd, who had full control of the study design. However, the hrQOL information including the entire dataset was provided to MS, the nominated statistician at Queen’s University who had full control of the data for the hrQOL analysis.

  • Competing interests UC reports grants and personal fees from Novartis and Bayer Pharma. IP reports lecture fees and consulting fees from Novartis. RG reports lecture fees and grants from Novartis. SS reports grants and personal fees from Novartis, Bayer, Roche, Boehringer Ingelheim, Optos and Heidelberg. LD reports personal fees from Novartis, Bayer, Alimera and Allergan. BJLB reports grants and research funding from Novartis Pharma. SP reports other from Novartis, Bayer, Allergan and Alimera. SL reports other from Novartis. JP and SB have nothing to disclose.

  • Patient consent for publication Not required.

  • Provenance and peer review Not commissioned; externally peer reviewed.

Request Permissions

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.