Simultaneous Encephalitis and Neuroretinitis After COVID-19 in a Young Adult: A Case Report
Bibliographic record
Abstract
Coronavirus disease 2019 (COVID-19) pandemic greatly impacted many aspects of life in the world. Both neurological and ophthalmologic presentations after COVID-19 have been reported. Herein, we present a case of both neuroretinitis and encephalitis after COVID-19 in a young adult. Both presentations are among the rare presentations of COVID-19. Similar manifestations were not reported previously. The 18-year-old previously healthy girl initially presented with low-grade fever, nausea, vomiting, body pain, and headache. The patient tested positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) by reverse transcriptase-polymerase chain reaction (PCR) by using a nasal swab. Two days after the onset of COVID-19 symptoms, she reported blurred vision in both eyes, progressing to only light perception in 3 days. Based on the ophthalmological evaluation, she was diagnosed with neuroretinitis. A few days later, she gradually became drowsy, so she was referred for neurological evaluation. Brain magnetic resonance imaging (MRI) showed bilateral medial temporal T2 and fluid-attenuated inversion recovery (FLAIR) hyper-signal lesions suggestive of encephalitis. A low-dose steroid was started to treat the neuroretinitis. After about 2 weeks, significant improvement in visual acuity and resolution of retinitis patches were observed. Our case is rare in respect of both neurological and ophthalmic involvement. J Neurol Res. 2021;11(5):102-107 doi: https://doi.org/10.14740/jnr698
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".