PARAFOVEAL INNER RETINAL THINNING AS THE BIOMARKER PREDICTING LESS RECURRENCE OF MACULAR EDEMA IN CENTRAL RETINAL VEIN OCCLUSION AFTER DISCONTINUING ANTIVASCULAR ENDOTHELIAL GROWTH FACTOR

Parafoveal inner retinal thinning after resolution of macular edema by antivascular endothelial growth factor treatment was predictive of a lower risk of recurrence of macular edema in central retinal vein occlusion. Purpose: To identify the predictive factors for the recurrence of macular edema after the cessation of antivascular endothelial growth factor treatment in eyes with central retinal vein occlusion (CRVO). Methods: This retrospective study included participants who had discontinued intravitreal bevacizumab injections for complete resolution of macular edema related to CRVO at 3 months after the last injection. Fifty-two eyes were enrolled in this study and classified into two groups based on the recurrence of macular edema within 1 year after the stopping point, when the decision to discontinue injections was made. Clinical characteristics and optical coherence tomographic parameters at baseline and at the stopping point were investigated. Results: Multivariate logistic regression analysis demonstrated that, at baseline, old age was associated with a significantly higher risk of macular edema recurrence (odds ratio, 1.092; P = 0.022). At the stopping point, parafoveal inner retinal thickness (odds ratio: 1.043, P = 0.014) and the presence of ellipsoid zone disruption (odds ratio: 5.922, P = 0.032) were predictive factors for recurrence. The receiver operating characteristic curve showed that parafoveal inner retinal thinning of >7 µm compared with that in the fellow eye was significantly associated with decreased recurrence of macular edema. Conclusion: Parafoveal inner retinal thinning and intact ellipsoid zone after resolution of macular edema by antivascular endothelial growth factor treatment were predictive of a lower risk of recurrence of macular edema in CRVO. These intuitive biomarkers may help predict future disease courses and design optimal treatment strategies.