Use of a Pulsatile Ventricular Assist Device (Berlin Heart EXCOR) and an Interventional Lung Assist Device (Novalung) in an Animal Model
Bibliographic record
Abstract
Pulsatile ventricular assist devices (VADs) are used in pediatric patients mainly as a bridge to heart transplantation. If severe respiratory failure occurs, extracorporeal membrane oxygenation (ECMO) is currently the treatment of choice. ECMO has the potential for severe complications. Interventional lung assist (iLA) devices, e.g., the Novalung, are used in patients with isolated lung failure. This study aimed to show the feasibility of the combined use of the EXCOR VAD (10 ml and 30 ml blood pumps) and the Novalung. There were two separate experiments within this study. First, a bench test was carried out to analyze pressure and flow through both devices. Second, 10 kg and 30 kg pigs received support with the VAD and iLA in series. Pressures and flow were measured systemically before and after the iLA. Flow was unaffected by the iLA. The mean arterial pressure was reduced (mean of 13 mm Hg) by the iLA. There were no obvious difficulties observed within the interaction of VAD and iLA. The combined use of both devices is feasible and able to provide sufficient perfusion pressures. Oxygenation and CO2 clearance was effectively supported by the iLA. Patients with myocardial and respiratory failure may benefit from this setup.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".