Cardiac Arrest and Mortality Related to Intubation Procedure in Critically Ill Adult Patients: A Multicenter Cohort Study
Bibliographic record
Abstract
OBJECTIVES: To determine the prevalence of and risk factors for cardiac arrest during intubation in ICU, as well as the association of ICU intubation-related cardiac arrest with 28-day mortality. DESIGN: Retrospective analysis of prospectively collected data. SETTING: Sixty-four French ICUs. PATIENTS: Critically ill patients requiring intubation in the ICU. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: During the 1,847 intubation procedures included, 49 cardiac arrests (2.7%) occurred, including 14 without return of spontaneous circulation (28.6%) and 35 with return of spontaneous circulation (71.4%). In multivariate analysis, the main predictors of intubation-related cardiac arrest were arterial hypotension (systolic blood pressure < 90 mm Hg) prior to intubation (odds ratio = 3.406 [1.797-6.454]; p = 0.0002), hypoxemia prior to intubation (odds ratio = 3.991 [2.101-7.583]; p < 0.0001), absence of preoxygenation (odds ratio = 3.584 [1.287-9.985]; p = 0.0146), overweight/obesity (body mass index > 25 kg/m; odds ratio = 2.005 [1.017-3.951]; p = 0.0445), and age more than 75 years old (odds ratio = 2.251 [1.080-4.678]; p = 0.0297). Overall 28-day mortality rate was 31.2% (577/1,847) and was significantly higher in patients who experienced intubation-related cardiac arrest than in noncardiac arrest patients (73.5% vs 30.1%; p < 0.001). After multivariate analysis, intubation-related cardiac arrest was an independent risk factor for 28-day mortality (hazard ratio = 3.9 [2.4-6.3]; p < 0.0001). CONCLUSIONS: ICU intubation-related cardiac arrest occurs in one of 40 procedures with high immediate and 28-day mortality. We identified five independent risk factors for cardiac arrest, three of which are modifiable, possibly to decrease intubation-related cardiac arrest prevalence and 28-day ICU mortality.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".