Abstract 12471: Bleeding Challenges in Pediatric Ventricular Assist Devices- A Study From the ACTION Registry
Bibliographic record
Abstract
Background: Ventricular assist devices (VAD) are increasingly used in children with end-stage heart failure. Bleeding is a major complication of VAD, but most reports have focused on central nervous system (CNS) bleeding. Our objective was to determine the incidence & consequences of non-CNS bleeding in pediatric VADs. Methods: We examined adverse events (AE) & outcomes of all patients implanted with a VAD at Advanced Cardiac Therapies Improving Outcomes Network (ACTION) centers between 9/2018-5/2021. Major bleeding event (MBE) was defined as an episode of suspected bleeding resulting in death, reoperation, hospitalization or blood transfusion (>7days after implant). Variables were analyzed using chi square & Mann Whitney test and outcomes were assessed by Kaplan Meier (KM) survival curves. Results: A total of 407 patients were prospectively enrolled in the ACTION registry, of which 82 (20.1%) had a MBE. The median duration of support was 72 days (range 6-1101). MBE was most common in paracorporeal continuous flow devices (42/82 devices, 51%). MBE was gastrointestinal in 30.3% & thoracic in 38.5%. Patients with MBE were more likely to have congenital heart disease (CHD) or previous cardiac operation & were less likely to have had VAD as a bridge to transplant (Table). Within 14 days post MBE, 31 subjects had another major AE (14 major infection, 13 another MBE, 2 stroke and 1 device malfunction). Unadjusted survival in patients with MBE was significantly worse than those without (p<0.001) (Figure). Conclusion: MBE after VAD implant was seen in 20% of pediatric VAD patients, a higher proportion of whom had CHD. MBE was associated with other major AEs post-VAD and also with worse survival.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".