Giant Cell Arteritis in the Third Decade of Life: A Case for Expanded Clinical Suspicion
Bibliographic record
Abstract
Giant cell arteritis (GCA), also known as temporal arteritis, is the most common idiopathic systemic vasculitis in middle-aged adults, predominantly involving large and medium-sized arteries. We report an unusual case of a 34-year-old woman with a five-year history of migraines who developed symptoms, including headache, transient vision loss, jaw claudication, and a 5 kg weight loss over two months. Physical examination revealed scalp tenderness, with no other notable findings. Laboratory investigations showed an elevated erythrocyte sedimentation rate (ESR) of 85 mm/hr and a C-reactive protein (CRP) level of 50 mg/L. Ultrasound of the temporal artery demonstrated thickening with the characteristic "halo" sign, and a biopsy confirmed inflammatory changes with multinucleated giant cells. Treatment with high-dose prednisolone resulted in remission, and the patient was discharged with a follow-up plan in place. GCA predominantly affects the superficial temporal arteries, with irreversible vision loss being its most serious complication. Prompt diagnosis and treatment are critical. The diagnosis relies on clinical features, elevated inflammatory markers, imaging studies, and histopathological confirmation. According to the European Alliance of Associations for Rheumatology (EULAR) guidelines, temporal artery ultrasound showing a non-compressible "halo" sign is recommended for diagnosis. Further studies are needed to investigate the potential connection between migraines and GCA. This case underscores the rarity of GCA in individuals under 50 and highlights the possibility of GCA developing in younger patients with a longstanding history of migraines.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.004 |
| 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".