Progression of right internal carotid artery stenosis in ischemic stroke patient with autoimmune polyglandular syndrome: A case report
Bibliographic record
Abstract
A 40-year-old man who presented with left hemiparesis was admitted to our hospital. He had tachycardia and a fever. He had a 25-year history of insulin therapy for diabetes mellitus. Brain magnetic resonance (MR) images showed fresh infarction in the right hemisphere, and carotid ultrasonography showed stenosis of the right internal carotid artery (ICA). We determined that atherothrombotic brain infarction had likely occurred. After admission, the right ICA became narrow and finally occluded. Computed tomography revealed the presence of a thrombus in the right ICA, and gadolinium-enhanced MRA showed vasculitis of the ICA. In laboratory tests, his thyroid hormones were elevated. He was diagnosed with hyperthyroidism. After treatment, the tachycardia and high fever were improved. Because of a positive anti-glutamic acid decarboxylase antibody test result, he was diagnosed with insulin-dependent diabetes mellitus. We found that he had anti-phospholipid antibody syndrome because he was positive for anti-beta-glycoprotein I antibody. These findings suggested that his condition was autoimmune polyglandular syndrome type 3. He received prednisolone and warfarin. After 3 months, his neurological findings were improved; however, occlusion of the ICA remained. Autoimmunity was considered to be the cause of ICA occlusion. Ischemic stroke with autoimmune polyglandular syndrome is very rare and is associated with progressive carotid lesions in juvenile patients. It is necessary to diagnose and treat this condition as soon as possible.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| 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".