PRETERM FAMILIAL EXUDATIVE VITREORETINOPATHY: A NOVEL NONSENSE LRP5 MUTATION
Bibliographic record
Abstract
PURPOSE: This case report details the diagnosis and management of a preterm infant with aggressive bilateral retinal pathology. METHODS: A 4-week-old preterm baby girl, born at 28 weeks and 6 days to consanguineous parents, was referred for suspected aggressive posterior retinopathy of prematurity (ROP). She had a family history of bilateral retinal detachments and intellectual disability in an older sister. Clinical assessment included retinal examination, fluorescein angiography, optical coherence tomography, dual-energy x-ray absorptiometry (DEXA), and genetic testing. The genetic testing involved sequence analysis and copy number variation analysis of 25 genes related to vitreoretinopathy. RESULTS: Retinal examination and fluorescein angiography revealed extensive nonperfusion and telangiectatic vessels in both eyes, and a macula-involving tractional retinal detachment in the left eye. Despite treatment with intravitreal bevacizumab and laser photocoagulation, they progressed to total retinal detachment and no light perception in both eyes. Genetic testing revealed a pathogenic homozygous nonsense mutation in the LRP5 gene (c.3259C>T, p. (Gln1087*)), a mutation not previously reported in association with familial exudative vitreoretinopathy (FEVR). At 10 months of age, DEXA demonstrated normal bone density, diverging from the typical presentation of osteoporosis pseudoglioma syndrome associated with LRP5 mutations. CONCLUSION: This case describes a novel mutation in a complex retinal disease and underscores the necessity of considering preterm FEVR in the differential diagnosis of atypical or aggressive ROP in preterm infants. The overlap in clinical features between ROP and FEVR highlights the complexity of diagnosis and management and the importance of genetic testing in preterm infants with retinal vascular abnormalities.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".