Veno-Venous Extracorporeal Membrane Oxygenation to Treat Acute Respiratory Distress Syndrome in an Adult with Fontan Palliation
Bibliographic record
Abstract
In patients with Fontan palliation, the systemic and pulmonary circulation is in series and supported by a single ventricle, resulting in fragile hemodynamics. Cardiac output is driven by low pressure nonpulsatile pulmonary flow and is highly dependent on pulmonary vascular resistance. An acute respiratory distress syndrome (ARDS) can rapidly alter this physiology and lead to severe cardiogenic shock. Herein, we describe the case of a 40 year old man with a classic modified Fontan procedure and bidirectional Glenn shunt who developed ARDS with cardiogenic shock following a resuscitated cardiac arrest with presumed aspiration pneumonia. In light of poorly tolerated positive end-expiratory pressure ventilation and underlying anatomical complexities, a multidisciplinary team was convened to optimize care. In part owing to the lack of femoral venous access, a veno-venous extracorporeal membrane oxygenation circuit was devised using bilateral internal jugular venous access. Under fluoroscopic guidance in a hybrid operating room, one cannula was placed in the inferior vena cava by means of the right internal jugular venous access, with the second cannula positioned in the right pulmonary artery through the left internal jugular vein. Oxygenation and hemodynamic status promptly improved, allowing the patient to recover from ARDS.
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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 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".