A Case of Takayasu's Arteritis Presenting With Acute Middle Cerebral Artery Stroke Managed With Aortic-Common Carotid Artery (CCA) Bypass Surgery
Bibliographic record
Abstract
Takayasu's arteritis (TA) is a rare inflammatory disorder that affects large arteries, particularly the aorta and its main branches. TA is also known as a pulseless disease because it diminishes blood flow to the limbs and organs. The patient was a 17-year-old female whose prior medical history included a diagnosis of TA. She had been experiencing multiple syncopal episodes up to three times daily, lasting 10 seconds each. She was being managed outpatient with immunologic therapy and warfarin. She initially presented to a children's hospital with abdominal pain and an asymmetrical smile and was found to have a ruptured ovarian cyst. This case demonstrated that life-threatening complications of TA can occur as a result of otherwise unrelated and common circumstances. The patient was managed medically and then proceeded to surgery. The case further highlights the multidisciplinary team approach between medical and surgical specialties and weighing the risks and benefits of complications for the patient's long-term care. Early diagnosis and prompt initiation of appropriate therapy are essential for better outcomes. Clinicians should be aware of the nonspecific symptoms of TA and consider it in the differential diagnosis of young patients presenting with systemic symptoms and arterial insufficiency. The initial presentation of middle cerebral artery stroke in young women has been documented in prior literature, but most published cases present the medical management of the disease. Our patient's case was unique because medical management was insufficient, with surgical management pursued due to persistent symptomatic hypotension. The inciting event of this case, an ovarian rupture with retroperitoneal hemorrhage, represents a unique burden to watershed infarctions in this patient group. Further research is needed to understand the pathogenesis of TA better and to develop more effective treatment strategies for this challenging disease.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.006 | 0.005 |
| 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".