Simultaneous Thrombosis in a Normal Left Ventricle and Normal Carotid Artery in a Patient With a Stroke Secondary to Iron Deficiency Anemia
Bibliographic record
Abstract
Iron deficiency anemia (IDA) is implicated as a cause of stroke, particularly in young patients without cardiovascular disease. In such patients, thrombi sometimes form in carotid arteries or the aorta. We report here a patient with a stroke secondary to IDA with thrombi in the normal left ventricle and normal carotid artery. The patient was a 45-year-old woman with severe IDA who developed cerebral infarction in the right middle cerebral artery. She had no other thrombophilia or cardiovascular diseases. Echocardiography showed a left ventricular thrombus without cardiac disease, and the carotid ultrasound showed a mobile thrombus attached to the right internal carotid artery without atherosclerosis. Antithrombotic therapy with iron supplementation removed both thrombi within 2 weeks. This is the first case of IDA with a ventricular thrombus in a normal heart. This case identifies a new site for thrombosis in IDA and shows that patients with IDA may present with simultaneous thrombosis at separate sites. IDA must therefore be recognized as a cause of stroke or systemic embolism, particularly in patients without detectable cardiovascular disease. In such patients, it is important to conduct careful investigations to detect thrombosis. J Med Cases. 2014;5(6):351-354 doi: http://dx.doi.org/ 10.14740 /jmc1786w
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| 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".