Surgical technique to avoid circulatory arrest and direct arch vessel cannulation during neonatal aortic arch reconstruction
Bibliographic record
Abstract
Deep hypothermic circulatory arrest (DHCA) has been used routinely for surgery involving the aortic arch. Recently, techniques have been developed that avoid circulatory arrest and maintain low-flow cerebral perfusion (LFCP) in an attempt to avoid the potential neurological sequelae associated with DHCA. We describe a technique of LFCP that avoids circulatory arrest and direct cannulation of the arch vessels. Five patients underwent reconstruction of the aortic arch with concomitant biventricular intracardiac repair. The distal ascending aorta was cannulated and patients were systemically cooled. The cannula was advanced into the innominate artery and snared in place prior to opening and reconstructing the aorta with continuous LFCP. In all five patients, we completely avoided circulatory arrest and direct cannulation of the arch vessels. All patients survived and there were no adverse neurological outcomes.
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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 | 0.001 |
| 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 | 0.001 |
| 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".