Association between hyperoxemia and mortality in patients treated by eCPR after out-of-hospital cardiac arrest
Bibliographic record
Abstract
Objective Assess whether elevated oxygen partial arterial pressure (PaO2) measured after the initiation of extra-corporeal cardiopulmonary resuscitation (eCPR), is associated with mortality in patients suffering from refractory out-of-hospital cardiac arrest (rOHCA). Methods Retrospective cohort study including rOHCA admitted to the ICU . Patients were divided into 3 groups, defined according to the PaO2 measured from arterial blood gas analysis 30 min after the initiation of eCPR. Hyperoxemia was defined as PaO2 ≥ 300 mmHg, hypoxemia as PaO2 ≤ 60 mmHg and normoxemia, as 60 < PaO2 < 300 mmHg. The main outcome was the mortality rate on day 28 after hospital admission. Results Sixty-six consecutive rOHCA, 77% male, with a mean age of 51 ± 14 years, were admitted to the ICU . rOHCA were mainly due to acute coronary syndrome (67%), hypertrophic cardiomyopathy (8%) and cardiotoxic overdose (8%). Mortality at day 28 reached 61%. In the overall population, the mean PaO2 was 227 ± 124 mmHg. An association between mortality and PaO2 was observed (OR = 1.01 [1.01–1.02]). The AUC for PaO2 after starting eCPR was 0.77 [0.65–0.89]. After adjustment for witnessed arrest, bystander's CPR, location, no-flow, low-flow, lactate and pH, age, and PaCO 2 , hyperoxemia had an ORa of 1.89 (CI95 [1.74–2.07]). Conclusion We found an association between mortality and hyperoxemia in patients admitted to the ICU for rOHCA requiring eCPR. These data underline the potential toxicity of high dose of oxygen and suggest that controlled oxygen administration for these patients is crucial.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".