Recognition of Vertebral Artery Dissection in a High-Risk Postpartum Patient by a Chiropractic Physician
Bibliographic record
Abstract
We report a case of vertebral artery dissection (VAD) in a patient with postpartum preeclampsia and underscore the contribution of chiropractic assessment in recognizing vascular pathology, facilitating neurovascular imaging, and expediting emergency intervention. A 36-year-old woman with a history of mixed connective tissue disease presented to the emergency department five days postpartum with facial and peripheral edema, recent onset of hypertension, acute severe neck pain, headache, lightheadedness, confusion, and gait instability. Magnetic resonance angiography (MRA) and magnetic resonance venography of the head were performed. Small, unruptured bilateral internal carotid artery aneurysms were visualized. The patient was admitted and treated for postpartum preeclampsia. Upon discharge, she followed up with a neuroendovascular specialist. Although the patient improved with preeclampsia management, concerning neurologic symptoms persisted. The patient later consulted a chiropractor, who suspected VAD. Emergent neck MRA was recommended and performed, confirming VAD 12 days after the initial emergency department visit. The patient was initiated on antithrombotic therapy, with subsequent resolution of symptoms and no evidence of ischemic stroke. This case underscores the importance of maintaining a high index of suspicion for VAD in postpartum patients presenting with new-onset neurological symptoms, particularly in the context of hypertensive disorders of pregnancy and underlying connective tissue disease. It further illustrates the potential role of chiropractic evaluation in the early clinical recognition of vascular pathology, which may facilitate timely diagnosis and intervention, and reduce the risk of stroke.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 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".