Ischemic Stroke Secondary to Left Ventricular Noncompaction
Bibliographic record
Abstract
Left ventricular noncompaction (LVNC) is a rare cause of cardiomyopathy that can lead to systemic embolism and ischemic stroke. LVNC results from the arrest of ventricular myocardium compaction during embryogenesis. Multiple other cardiac complications coexist with this cardiomyopathy, and one of the potential consequences is cardioembolic events causing ischemic stroke. This condition can be underdiagnosed or misdiagnosed as hypertrophic or dilated cardiomyopathy. We report a patient who presented with recurrent embolic ischemic stroke secondary to LVNC that was overlooked on initial transthoracic echocardiographic studies. After an unremarkable laboratory workup, transesophageal echocardiogram (TEE) revealed noncompaction of the myocardium within the apex of the left ventricle, confirmed by cardiac magnetic resonance imaging (MRI). The patient was anticoagulated with warfarin and discharged to a rehabilitation facility. Increased understanding and awareness of the diagnosis, clinical manifestations, and management of LVNC are advised, particularly in patients with recurrent embolic stroke of undetermined source. Screening of all first-degree relatives with this familial condition is recommended as well, as appropriate treatment can prevent cardiac complications and sudden death. J Neurol Res. 2019;9(4-5):75-80 doi: https://doi.org/10.14740/jnr553
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".