Primary In-Series Palliation of Hypoplastic Left Heart Syndrome With Mechanical Lung Assist in Neonatal Pigs
Bibliographic record
Abstract
Less than optimal outcomes for hypoplastic left heart syndrome may be related to unstable in-parallel circulation. Mechanical lung assist by (1) superior vena cava to right atrium pump with oxygenation (oxygenator assist), or (2) superior vena cava to pulmonary artery pump (pump assist) may permit successful neonatal in-series palliation. Nineteen 15-day-old piglets underwent single ventricle and bidirectional cavopulmonary shunt (BCPC) creation without mechanical lung assist (n = 8), with pump assist (n = 5), or with oxygenator assist (n = 6). Baseline hemodynamic measurements were not different between groups. Median survival for the cavopulmonary shunt alone, pump assist, and oxygenator assist groups was 28, 180, and 180 minutes, respectively (p = 0.0006). No differences in arterial oxygen concentration or bicarbonate levels were detected. Arterial carbon dioxide (p < or = 0.007) was higher in the cavopulmonary shunt alone versus lung assist groups. Cavopulmonary shunt alone animals had decreased mean arterial pressure (p < 0.02) and cerebral perfusion pressure (p = 0.029) and elevated left atrial pressure compared with lung assist groups (p < 0.05). This data demonstrates creation of a novel translational neonatal BCPC model in which mechanical lung assist augments survival. Early BCPC death was related to poor ventricular function and an inability to ventilate, issues that were improved with both types of lung assist.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".