Cardiovascular collapse after return of spontaneous circulation in human out-of-hospital cardiopulmonary arrest
Bibliographic record
Abstract
OBJECTIVE: Animal studies describe cardiovascular collapse (CVC; hypotension or reoccurrence of cardiac arrest) after return of spontaneous circulation (ROSC) from cardiopulmonary arrest. Few studies describe CVC in humans. This study aimed to determine the occurrence of CVC in human out-of-hospital cardiopulmonary arrest (OHCA). METHODS: Using observational data from a site of the Resuscitation Outcomes Consortium, the study analysed treated, non-traumatic OHCA achieving initial ROSC. CVC was defined as post-ROSC hypotension (systolic blood pressure ≤80 mm Hg), post-ROSC administration of epinephrine, vasopressin or dopamine, or post-ROSC recurrent cardiac arrest. The time period from initial ROSC to emergency department (ED) arrival was measured. The prevalence of and elapsed time to post-ROSC CVC was determined, censoring cases at the point of ED arrival and comparing clinical characteristics between CVC and non-CVC cases. RESULTS: Of 1081 treated OHCA, ROSC occurred in 58 (5%; 95% CI 4% to 7%). CVC occurred in three cases of 58 ROSC (5%; 95% CI 1% to 14%), all due to recurrent cardiac arrest. The median ROSC to ED arrival time was 6 min (IQR 3-13 min). ROSC to CVC times were 1, 2 and 8 min. Patient sex, age, initial ECG rhythm, endotracheal intubation, bystander cardiopulmonary resuscitation and bystander automated external defibrillation were similar between CVC and non-CVC cases (p=0.11-1.00). CONCLUSIONS: In this series of treated OHCA, only a small fraction of patients experienced CVC after ROSC.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".