Left Ventricular Non-Compaction Syndrome Misdiagnosed as Dilated Cardiomyopathy on Several Occasions, Presenting With Recurrent Stroke
Bibliographic record
Abstract
A 57-year-old African American female with a history of ischemic cardiomyopathy and a recent stroke with no residual deficits presented with apraxia and confusion. Non-contrast CT scan of the head revealed multiple embolic strokes in both cerebral hemispheres. Transthoracic echocardiography raised the suspicion for increased trabecular meshwork in the left ventricle. Cardiac MRI confirmed the findings of isolated left ventricular non-compaction (LVNC) syndrome. A contrast-enhanced transesophageal echocardiogram demonstrated the characteristic features of this unusual disease with the additional demonstration of contrast filling the trabecular meshwork. Interestingly multiple transthoracic echocardiograms in the past had failed to identify myocardial non-compaction. The patient was started on warfarin for prophylactic anticoagulation and an implantable defibrillator was placed to lower the risk of sudden death. LVNC is a rare type of genetic cardiomyopathy characterized by excessively prominent trabeculations and deep inter-trabecular recesses in the ventricle wall. Non-compaction remains frequently overlooked even by experienced echocardiographers. Failure to diagnosis may lead to insufficient treatment since it is often associated with a risk of thromboembolism, life-threatening arrhythmias and sudden death. Furthermore, because of the familial association described with ventricular non-compaction, screening of first relatives with echocardiography is recommended.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 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 | 0.000 |
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".