Abstract 17254: Myocardial Functional Recovery Following Durable Ventricular Assist Device in Children
Bibliographic record
Abstract
Introduction: Ventricular Assist Device (VAD) explantation following myocardial functional recovery (MFR) for heart failure (HF) is uncommon and associated with a risk of recurrence of HF. Research Question: What are the patient characteristics and outcomes for VAD explantation in children following MFR? Methods: Retrospective, single centre study of patients who were supported with durable VADs, both intracorporeal continuous flow devices (CFD) and paracorporeal pulsatile flow devices (PFD) between 2004 to 2022. Results: A total of 75 children, of which 43 were female, underwent VAD implantation (PFD = 61 and CFD = 14) at a median (IQR) age of 5.6 (0.8, 13.5) years and with a weight of 16.2 (7.5, 40.7) kg. From this cohort, we identified 8/75 (11%) children who underwent VAD explantation for MFR after a median duration of 56 (22, 115) days. All were supported with durable PFD. Five were listed for transplantation as a part of their HF management strategy following VAD implantation and four patients had dilated cardiomyopathy (DCM). Of those, 7/8 (88%) children with MFR were under 2 years of age and 5/8 (63%) were supported for > 90 days. The pathological findings on the LV core samples were variable in severity and no patient had any evidence of active inflammation (see Table). After explant, 7/8 patients remained in HF remission with no symptoms and stable LV function. One patient had a recurrence of HF following explantation after demonstrating MFR while on VAD support. This patient was 5 years old at implant and was in HF remission for ~9 months following explant before HF recurrence, requiring VAD re-implantation and eventual heart transplantation. Conclusions: MFR resulting in VAD explantation is feasible in children with chronic HF especially for those < 2 years of age. Further work is needed to help better identify the features that promote MFR and maintain it after explant.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".