Improved 6 Minute Walk Distance and Brain-Type Natriuretic Peptide After Continuous-Flow Ventricular Assist Device Placement in Children
Bibliographic record
Abstract
Despite increasing continuous-flow ventricular assist device (CF-VAD) use in children, minimal data exist regarding the functional recovery and rehabilitation potential after device placement. We hypothesized that after CF-VAD implantation, children would demonstrate a time-limited improvement in 6 minute walk distance (6MWD) and brain-type natriuretic peptide (BNP). A retrospective cohort study of 27 patients was conducted, those <18 years of age at a tertiary-care center during the study period. Seventy-four percent were male; median age was 12.7 years. Six minute walk distance and BNP were evaluated within 365 days of implantation. Associations were examined before and after 90 days postimplantation because a plateau in both values was seen after 90 days. Data included 92 6MWD and 341 BNP values. In the first 90 days, 6MWD increased by 12 percent predicted (%P) per 30 days (P < 0.01); with no significant change thereafter, increasing 0.6 %P per 30 days (P = 0.482). In the first 90 days, BNP decreased by 59% per 30 days (P < 0.01); with no significant change thereafter, increasing 1.2% per 30 days (P = 0.561). Six minute walk distance and BNP improved after CF-VAD implantation, with a significant improvement only in the first 90 days. Routine use of 6MWD and BNP can help in assessment of functional recovery in children after CF-VAD placement.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".