Abstract 325: Characteristics and Outcomes of Hanging Induced Out-Of-Hospital Cardiac Arrest: Insights From the Paris Sudden Death Expertise Center Registry
Bibliographic record
Abstract
Introduction: Hanging-induced Out-of-Hospital cardiac arrest (OHCA) is poorly studied and a better understanding of these specific OHCA could be helpful to improve patients’ outcome. The main objective of our study was to describe characteristics and outcomes in patients who had OHCA from hanging injuries. Methods: From May 2011 to December 2017 we analyzed a prospectively collected Utstein database for all OHCA adults. All cases due to hanging were included. Utstein style variables were compared for 2 groups of patients: those with a Return of Spontaneous Circulation (ROSC) and those without (non-ROSC). Continuous data are described as means (extremes). Results: Among 25 055 OHCA, 500 patients were included. They were 49 (18-100) years old. Seventy-three (14.6%) hanging were witnessed and 58 (11.6%) benefited from a bystander cardiopulmonary resuscitation before Emergency Medical Service (EMS) arrival. No-flow duration was 29.1 (4-180) minutes. Advance life support was initiated by EMS in 299 (59.8%) cases. Low-flow duration was 23.8 (2-79) minutes. Nine patients (1.8%) had a shockable initial rhythm. We observed 83 (16.6%) ROSC. Four (0.8%) patients were discharged alive from hospital. They were all CPC 1. Table 1 compares characteristics with significant differences between ROSC and non-ROSC groups. Conclusion: As expected, younger age, short no-flow and low-flow durations and shockable rhythm on EMS arrival were significantly associated with ROSC. Overall prognosis is dramatically poor when OHCA is due to hanging (<1%), with a very low proportion of shockable rhythm, even if the rare survivors have an excellent CPC at discharge. Indeed, the best method to reduce the mortality rate of hanging is, with no contest, the prevention of suicidal act.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".