Massive aspiration syndrome: a possible indication for “emergent” veno-venous extracorporeal membrane oxygenation?: a case report
Bibliographic record
Abstract
BACKGROUND: Veno-venous extracorporeal membrane oxygenation (VV-ECMO) is usually performed in cases of severe respiratory failure in which conventional and advanced mechanical ventilation strategies are ineffective in achieving true lung-protective ventilation, thus triggering ventilatory-induced lung injury. If circulatory failure coexists, veno-arterial ECMO (VA-ECMO) may be preferred over VV-ECMO because of its potential for circulatory support. In VA-ECMO, the respiratory contribution is less effective and the complication rate is higher than in the VV configuration. CASE PRESENTATION: The authors present a case in which VV-ECMO was performed in an emergency setting to treat a 68-year-old White male patient who experienced acute respiratory failure after massive aspiration. Despite intubation and intensive care unit admission, multiple organ failure occurred suddenly, thus prompting referral to a level-1 trauma center with an ECMO facility. The patient's condition slowly improved with VV-ECMO support along with standard treatment for hemodynamic impairment. VV-ECMO was discontinued on day 8. The patient was extubated on day 14 and discharged home fully recovered 34 days after the event. CONCLUSIONS: Attention was focused on the decision to initiate VV-ECMO support even in the presence of severe hemodynamic derangement, although VA-ECMO could have provided better hemodynamic support but less effective respiratory support.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 | 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 teacher head, 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".