Abstract Su305: Chest Compression Fraction, Bag-mask Ventilation, And Survival From Out-of-hospital Cardiac Arrest: A Multicenter Study
Bibliographic record
Abstract
Background: Ventilation during cardiopulmonary resuscitation (CPR) is poor. Better lung inflation during chest compression pauses is associated with better return of spontaneous circulation (ROSC), survival, and functional neurological survival. Chest compression quality, quantified by chest compression fraction (CCF) >80%, has also served as a guideline target for improved outcomes. We hypothesized that greater chest compression fraction modifies the association between ventilation quality and outcomes. Methods: We studied patients suffering out-of-hospital cardiac arrest from six sites of the Resuscitation Outcomes Consortium (ROC) Trial of Continuous or Interrupted Chest Compressions during CPR. We performed a subanalysis of patients assigned to the 30:2 CPR arm with ≥ two minutes of thoracic bioimpedance signal recorded with a cardiac defibrillator/monitor. Detectable ventilation waveforms were defined as having a bioimpedance amplitude ≥0.5 Ohm (corresponding to ≥ 250 ml tidal volume) and duration ≥1 sec. We defined a chest compression pause as a break in chest compressions of 3 - 15 sec duration. We dichotomized ventilation into two groups: 1) better lung inflation (≥ one lung inflation waveform in ≥50% of chest compression pauses), and 2) poor lung inflation (waveforms in <50% pauses). We analyzed CCF during bag-mask prior to intubation (if any). We used multivariable logistic regression to assess the relationship among CCF, ventilation, and the outcomes of ROSC, survival, and functional neurologic survival. Results: Among 1,976 patients, mean age was 65 years, 66% were male. Most patients received poor ventilation (60%, n=1177) over ventilation over 9.8 ± 4.9 minutes. Median CCF was 0.78 (0.71, 90.84) and 0.78 (0.70, 0.83) for poor and better lung inflation, respectively. For CCF <85%, survival was significantly greater in those who received better ventilation, when compared to poor ventilation, and had greater pauses per minute (Figure A). The beneficial interaction between ventilation and outcome was greater with CCFs of 85% or less, compared to higher CCFs (Figure B). With CCFs >85%, survival did not improve significantly with better ventilation. These results persisted after adjustment for Ustein variables and ROC site. Conclusions: We observed improved survival with better ventilation until CCF exceeded 85% in the preintubation period, suggesting an optimal strategy with better ventilation and chest compression fractions of 85% or less.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".