4.5 Article

Conjunctival thickness as a predictive imaging biomarker for the glaucoma filtration surgery outcome: An optical coherence tomography study

Journal

CLINICAL AND EXPERIMENTAL OPHTHALMOLOGY
Volume 48, Issue 9, Pages 1192-1200

Publisher

WILEY
DOI: 10.1111/ceo.13857

Keywords

conjunctival thickness; filtering bleb; filtration surgery; glaucoma; optical coherence tomography

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Importance To analyse the preoperative conjunctival thickness in glaucomatous patients undergoing filtration surgery (FS), using optical coherence tomography (OCT). Background The conjunctival status represents one of the most critical determinants of the FS outcome. Design Retrospective study. Participants Sixty-seven patients candidate to FS for uncontrolled glaucoma were enrolled. Methods OCT was performed at the superior bulbar conjunctiva before FS, and at bleb site at the last follow-up (LF-up) after surgery. Main Outcome Measures Preoperative full, epithelial, and stromal conjunctival thickness (FCT, CET, CST) and reflectivity (CR), and LF-up bleb-wall thickness (BT), reflectivity (BR) and intraocular pressure (IOP), were the major outcomes. The relations between preoperative parameters and LF-up-IOP, BT and BR were calculated. Results FS was completely successful in 23 patients (group 1), successful with medications in 22 (group 2), and failed in 22 (group 3). FCT, CET and CST were lower, whereas CR higher, in group 3 compared to groups 1 and 2 (P < .05); BT was lower (P < .001), whereas BR higher (P < .05) in group 3 compared to group 1. FCT and CST were predictors of FS outcome with lower thickness associated with increased odds of failure (odds ratio 0.922,P= .08; 0.941,P= .025). LF-up-IOP inversely correlated with FCT and CST (r= -0.447,P= .003;r= -0.408,P= .007), whereas positively correlated with CR (r= 0.789,P < .001). Conclusions and Relevance Preoperative conjunctival thickness and reflectivity show significant correlations with the FS outcome, both in terms of IOP and bleb-wall features. Therefore, they may be proposed as predictive imaging biomarkers to estimate the risk of filtration failure.

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