Neurologic, Neurocognitive, and Functional Outcomes in Children Under 6 Years Treated with the Berlin Heart Excor Ventricular Assist Device
Bibliographic record
Abstract
The objective of this study is to describe the neurologic, neurocognitive, and functional outcomes of children aged under 6 years supported on the Berlin Heart EXCOR ventricular assist device (VAD) followed in the Complex Pediatric Therapies Follow-up Program (CPTFP). Sixteen patients were prospectively followed through this longitudinal, developmental program. The patients were evaluated with neurologic physical examination. Intelligence quotients (IQ) and functional outcome scores (ABAS-II scores) were obtained. Neuroimaging reports from before, during, and after VAD implantation were retrospectively reviewed for reported brain injury (BI). Twelve patients (75%) had neuroimaging documented BI at some point in their life (i.e., before, during, or after VAD support). Five patients (31%) had neuroimaging evidence of acute BI incurred while on the VAD. The high overall number of patients with neuroimaging documented BI at any point in their life illustrates that the risk for BI also exists outside the window of VAD support. Patients with abnormal neurologic physical examination at follow-up had lower IQ and ABAS-II scores compared with patients with normal neurologic physical examination (mean full-scale IQ 66.9 vs. 95.0, p = 0.001; mean ABAS-II 66.3 vs. 94.2, p < 0.001).
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".