EXUDATIVE RETINAL DETACHMENT AFTER INTRAVITREAL BROLUCIZUMAB INJECTION
Bibliographic record
Abstract
PURPOSE: To report an unusual case of a patient who presented with intraocular inflammation (IOI) and an exudative retinal detachment after first brolucizumab injection and to compare this case to the existing literature. METHODS: An 80-year-old woman being treated for neovascular age-related macular degeneration presented 11 days after her first intravitreal injection of brolucizumab with IOI and an exudative retinal detachment. She was treated with systemic and topical steroids. The patient's chart was thoroughly reviewed, and notes were made on visual acuities and ocular examination findings at each relevant visit. Optical coherence tomography and ultra-widefield fluorescein angiography (UWFA) images were taken across multiple timepoints. RESULTS: The patient's IOI and exudative retinal detachment resolved three weeks after brolucizumab injection. In the literature, the incidence of IOI has been reported to be higher with brolucizumab versus aflibercept, but most of these cases were considered to be mild to moderate in severity. More recently, reports of severe IOI and retinal vasculitis associated with brolucizumab have been published in postmarketing surveillance articles. CONCLUSION: To the authors' knowledge, this is the first report of exudative retinal detachment after intravitreal brolucizumab injection. As the experience with this new drug continues to grow, reports of these events are critical to increase the understanding, so that future management strategies can be developed to improve patient outcomes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".