HeartWare ventricular assist device as a bridge to heart transplantation in a patient with congenitally corrected transposition of the great arteries and dextrocardia
Bibliographic record
Abstract
Congenitally corrected transposition of the great arteries (ccTGA) is a rare condition with prevalence of <0.5%. Dextrocardia is reported among 20% of them. Among patients with ccTGA, heart failure is a common presentation, especially in the fourth or fifth decade of life and survival is dismal without heart transplantation. A left ventricular assist device (LVAD) is considered for bridge to transplantation if early heart transplantation is not available or as destination therapy for patients ineligible for heart transplant. Our patient had ccTGA and dextrocardia, after which he developed failure of a systemic ventricle and severe systemic atrioventricular valve, subpulmonic atrioventricular valve and aortic valve regurgitation along with paroxysmal atrial fibrillation. A third-generation ventricular assist device HeartWare ventricular assist device (HVAD, HeartWare, Inc., Framingham, MA, USA) was implanted as a bridge to transplantation with concomitant aortic valve replacement with a bioprosthetic valve. There is no prior publication on HVAD implantation in patient having both ccTGA and dextrocardia. Our case report includes the patient's summary and literature review encompassing limited experience of LVADs in patients with ccTGA and dextrocardia.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.004 |
| 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".