| Literature DB >> 34519167 |
Mateusz Niedzwiecki1, Adrian Hunt2,3, Vuong Nguyen3, Hemal Mehta3,4, Catherine Creuzot-Garcher5, Pierre-Henry Gabrielle3,5, Martin Guillemin5, Samantha Fraser-Bell3, Jennifer Arnold6, Ian L McAllister7, Mark Gillies3, Daniel Barthelmes1,3.
Abstract
PURPOSE: To compare 12-month treatment outcomes of eyes receiving aflibercept or ranibizumab for macular oedema secondary to central retinal vein occlusion (CRVO) in routine clinical practice.Entities:
Keywords: CRVO; aflibercept; cystoid; macula; oedema; ranibizumab
Mesh:
Substances:
Year: 2021 PMID: 34519167 PMCID: PMC9292733 DOI: 10.1111/aos.15014
Source DB: PubMed Journal: Acta Ophthalmol ISSN: 1755-375X Impact factor: 3.988
Demographic characteristics of all treatment‐naïve CRVO eyes commencing ranibizumab or aflibercept treatment 2014–2019.
| Overall | Ranibizumab | Aflibercept | p‐value | |
|---|---|---|---|---|
| Eyes, | 296 | 125 | 171 | |
| Patients, | 291 | 122 | 170 | |
| Female, % | 47% | 47% | 47% | 1.00 |
| Age, mean (SD) | 72 (13) | 73 (12) | 71 (13) | 0.14 |
| VA, mean (SD) | 40.1 (25.8) | 36.9 (26) | 42.5 (25.5) | 0.07 |
| ≥70 letters, % | 13% | 13% | 13% | 1.00 |
| ≤35 letters, % | 41% | 45% | 38% | 0.29 |
| FFA Performed, | 176 (59%) | 75 (60%) | 101 (59%) | 0.96 |
| Macular Ischaemia, | 20 (7%) | 9 (7%) | 11 (6%) | 0.81 |
| Peripheral Ischaemia, | 75 (25%) | 37 (30%) | 38 (22%) | 0.16 |
| CST, mean (SD) | 615 (236) | 614 (240) | 616 (234) | 0.96 |
| Hypertension, % | 60% | 58% | 61% | 0.80 |
| Glaucoma, % | 16% | 14% | 17% | 0.53 |
| Country, % | ||||
| Australia | 29% | 30% | 29% | |
| France | 31% | 39% | 25% | |
| Switzerland | 24% | 15% | 32% | |
| United Kingdom | 15% | 16% | 15% | |
n = number, SD = standard deviation, VA = visual acuity (logMAR letters), FFA = fundus fluorescein angiography, CST = central subfield thickness (in microns).
Not mandatorily performed or documented.
12‐month outcomes in all eyes and stratified by anti‐VEGF agent received. Significant p‐values comparing ranibizumab and aflibercept are highlighted in bold.
| Overall | Ranibizumab | Aflibercept | p‐value | |
|---|---|---|---|---|
| No of Eyes | 296 | 125 | 171 | |
| Baseline VA, mean (SD) | 40.1 (25.8) | 36.9 (26) | 42.5 (25.5) | 0.07 |
| Final VA, mean (SD) | 51.9 (28.5) | 46.9 (29.4) | 55.5 (27.3) |
|
| Crude VA change, mean (95% CI) | 11.8 (9, 14.5) | 9.9 (5.8, 14.1) | 13.1 (9.4, 16.8) | 0.26 |
| Adjusted VA change, mean (95% CI) | 9.8 (5.5, 14.1) | 16.6 (12.9, 20.4) |
| |
| Gained ≥ 15 letters (%) | 46% | 40% | 50% | 0.10 |
| Lost ≥ 15 letters (%) | 10% | 10% | 11% | 0.95 |
| VA ≥ 70%Baseline / %Final | 13% / 37% | 13% / 30% | 13% / 42% | 1.00/0.05 |
| VA ≤ 35%Baseline / %Final | 41% / 28% | 45% / 34% | 38% / 24% | 0.29/0.09 |
| CST Baseline, mean (SD) | 615 (236) | 614 (240) | 616 (234) | 0.95 |
| CST Final, mean (SD) | 336 (169) | 369 (179) | 314 (159) |
|
| CST Change, mean (95% CI) | ‐279 (−311, −247) | ‐245 (−292, −197) | ‐302 (−345, −258) | 0.10 |
| Adjusted CST Change, mean (95% CI) | ‐252 (−220, −282) | ‐304 (−276, −333) |
| |
| Completers, | 236 (80%) | 99 (79%) | 137 (80%) | 0.70 |
| Switchers, | 35 (12%) | 26 (21%) | 9 (5%) |
|
| Lost to follow‐up, | 60 (20%) | 26 (21%) | 34 (20%) | |
| Injections, median (Q1, Q3) | 7 (5, 9) | 6 (4, 9) | 8 (5, 9) | 0.62 |
| Visits, median (Q1, Q3) | 10 (8, 13) | 10 (7, 13) | 10 (8, 13) | 0.84 |
n = number, VA = visual acuity, SD = standard deviation, CI = confidence interval, CST = central subfield thickness, Q1 = first quartile, Q3 = third quartile.
All eyes – includes completers, switchers and non‐completers. ‘Completers’ – eyes with 12 months of observation from the start of treatment, ‘switchers’ – eyes receiving ≥2 injections of the other treatment drug prior to completion of 12 months from the start of treatment. Observations were included in the analysis only up to the first occurrence of switching agents. ‘Non‐Completers’ – eyes not completing 12 months of observations from the start of treatment.
Last observation carried forward for switchers and non‐completers.
Calculated from longitudinal models adjusting for age and baseline VA (fixed effects), and practice and intra‐patient correlation for bilateral cases (random effects).
Fig. 1Graphical representation of vision and CST by drug. Predictions from longitudinal generalized additive models of adjusted visual acuity (A, B) and CST (C, D). Red dotted lines in (B, D) indicate periods in which the confidence interval of the difference between drugs no longer crosses zero.
Fig. 2Kaplan–Meier curve for first grading of inactivity, time to switching and dropout by drug.