Abstract 11760: The Outcomes of Children Implanted With Ventricular Assist Devices in the US: First Analysis of the Pediatric Interagency Registry for Mechanical Circulatory Support (PediMACS)
Bibliographic record
Abstract
BACKGROUND: Use of pediatric mechanical circulatory support to decrease mortality has expanded dramatically. A national account of the use of FDA-approved devices in children is essential to understanding outcomes, refining patient selection, and improving quality of care. METHODS: PediMACs is an NIH-supported national registry for FDA-approved temporary and durable VAD usage in patients < 18 years of age. Between the launch in Sept 2012 and March 2014, 32 US hospitals enrolled patients. This first report of data from this registry analyzed pre-implant patient characteristics, survival using competing outcomes, and adverse events. RESULTS: One hundred and thirty pediatric pts underwent 153 VAD implantations. Etiology of heart disease included 87 (67%) pts with cardiomyopathy, 26 (20%) with congenital heart disease. Twenty pts transitioned from ECMO and 37 had prior cardiac surgery. Most pts were Intermacs level 1 (28%) and level 2 (55%) at implant, with 12% Intermacs level 3. There were 26 temporary devices. Of the durable devices, 65 (51%) were pulsatile and 62 (49%) continuous flow (CF) (compared to adult Intermacs implants: 4% pulsatile, 96% CF). Age at first implant included 22 pts (17%) < 1 yr of age, 23 (18%) 1-5 yrs, 26 (20%) 6-10 yrs and 59 (45%) 10-18 yrs. Patients were supported with LVAD alone in 99 (76%), BiVAD in 24 (18%) and total artificial heart in 2 (2%) and represented 484 months of follow-up. The 104 patients receiving primary durable devices had an actuarial survival of 90% at 6 mos. Competing risk analysis at 6 mos revealed 54% of pts transplanted, 37% alive on support, 8 % died and 1 % recovery. In the overall cohort, there were 8 early (<1mo) and 5 late deaths. Reported serious adverse events included infection (42), bleeding (40), device malfunction (37) and neurologic dysfunction (33). CONCLUSIONS: Pedimacs constitutes the largest single data repository with detailed information of pediatric pts implanted with all types of VADs. Initial data show a higher rate of use of pulsatile devices as compared to contemporaneous adult data. Survival rates are excellent despite varying patient characteristics and pump types. With further data collection, analysis of patient risk factors critical to improving outcomes will be possible.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".